Startseite Naturwissenschaften Determination of heavy elements in agricultural regions, Saudi Arabia
Artikel Open Access

Determination of heavy elements in agricultural regions, Saudi Arabia

  • Maha Abdallah Alnuwaiser EMAIL logo
Veröffentlicht/Copyright: 28. Juni 2024

Abstract

This study utilized an inductively coupled plasma emission spectrometer (model ICPE-9000) to determine the concentrations of Mo, Hg, Cd, Be, Co, V, Se, Ti, As, Cr, Zn, Mn, Cu, Fe, Ni, and Pb elements in the soil samples, and estimate its ratio compared to the standard global percentages. Several indices were employed, including enrichment factors, pollution load index, and accumulation index. The concentration of heavy metals in the soil samples was below the average concentration found in the soil. However, there were exceptions for five minerals, Cd, Mo, As, Se, and Hg, which had concentrations exceeding the average. The potential contamination or elevated levels of these heavy elements in soil could have implications for plant growth and environmental quality. In the soil, the pH levels were from 5.1 to 6.4, with an average pH of 5.8, and electrical conductivity ranged from 2.14 to 7.89 µS/m. The highest total dissolved solids found in the Qassim region were 1,710 mg/L, and lower values were observed in the Medina region. Furthermore, this study noted a high concentration of Cl anions, with the highest concentration of 283.9 mg/L in the soil of the Qassim region, indicating the presence of chloride ions in the soil. This study will provide great benefits to the agricultural community in Saudi Arabia regarding the metals and behavior of the soils concerning the crops.

1 Introduction

Heavy metal contamination has become a global issue that poses significant environmental disruptions and severe threats to human health. The primary reasons for this problem are rapid urbanization, shifts in land use, and heavy industrialization, particularly in developing nations. Consequently, a wide array of environmental contaminants have surged, resulting in potential health hazards. Consequently, heavy elements have a direct impact on public health [1,2].

One critical concern is that heavy metal pollution can infiltrate the human diet, whether in large quantities or as a part of nutritional components [3]. The human body requires small quantities of elements for vital physiological processes related to enzymes and cellular hormones. Disturbance in intricate equilibrium has unforeseen health implications [4]. Recent research has highlighted a strong correlation between human diseases and some elements such as Al and Ni [5]. Moreover, imbalances in essential micronutrients such as chromium, cobalt, copper, and zinc can result in conditions such as cancer, cardiovascular diseases, and kidney disorders, exerting effects on overall health [6]. Minerals play pivotal roles in daily life as they influence various aspects of agriculture and industrial activities [7]. These natural resources are integral to numerous processes and products, underscoring their significance for sustaining human society.

The progress of nations and the well-being of their populations are often gauged by their ability to harness economically valuable minerals while also considering environmental consequences [8]. Soil contributes significantly to both geochemical and biological cycles. However, human activities can disrupt this delicate balance, potentially leading to soil pollution [9]. Soil, which is the uppermost layer of the Earth that directly interacts with humans, can transmit pollutants into the food chain. Consequently, safeguarding soil quality is imperative to achieve sustainable development goals [10]. Minerals, which are economically valuable, can also pose risks owing to fatal hazards [11,12,13,14]. Moreover, minerals do not degrade naturally through chemical or biological processes [15]. Some minerals have far-reaching consequences for both human health and the environment, as they can enter food or groundwater from various sources [16]. Trace elements, in particular, serve as indicators of health risks associated with soil contamination [17,18].

Recently, there has been a noticeable increase in soil contamination by some elements like Pb and Cu [19]. This trend underscores the pressing need for effective monitoring and remediation efforts to mitigate the adverse effects of mineral pollution on ecosystems and human well-being. Numerous metals exert significant environmental impacts due to their toxic nature, harmful effects, or capacity to diminish soil fertility in agricultural settings [20]. Notably, aluminum has recently been recognized as a highly toxic metal [21,22,23]. It enters the environment through natural processes such as rock decomposition, erosion, and transport. However, its use in various industries has led to unknown health problems. For instance, cadmium can replace zinc in biological processes [24], whereas lead can replace calcium in various biological functions. When cadmium or lead accumulates in bones or tissues, it becomes challenging to eliminate it, disrupting essential physiological processes and leading to health complications. The uptake of heavy elements by plants depends on the soil solubility, pH, and plant growth [2].

The assessment of these minerals can be conducted through diverse analytical techniques, including laser ablation inductively coupled plasma (ICP), in which the laser ablates or vaporizes a small sample portion and passes the ICP for analysis. Mass spectrometry uses ion separation, followed by optical emission spectroscopy by heating to high temperatures, causing it to emit light. The emitted light is then dispersed through a spectrometer, separating it into its component wavelengths [20,21,22,23].

In this study, an extensive analysis was conducted on 16 heavy metals, which included Mo, Hg, Cd, Be, Co, V, Se, Ti, As, Cr, Zn, Mn, Cu, Fe, Ni, and Pb. These investigations were carried out at nine different sampling sites within agricultural regions. An ICPE-9000 spectrometer was employed to estimate these metals in the soil, considering enrichment factors (EFs) and accumulation index.

This study offers valuable insights into multiple aspects of soil quality in Saudi Arabian agricultural regions, including the heavy metal content, pH levels, electrical conductivity (EC), and chloride ion concentrations. Notably, certain heavy metals exhibited elevated concentrations, emphasizing the critical need for ongoing monitoring and effective soil quality management. These measures are essential not only to facilitate successful crop cultivation but also to mitigate potential environmental risks for these elevated heavy metal levels. Thus, this study underscores the significance of proactively addressing soil quality to ensure agricultural productivity and environmental well-being.

2 Materials and methods

2.1 Soil materials

The study involved soil samples from different agricultural and industrial areas in Saudi Arabia, specifically Qassim, Medina, Al-Kharj, and Riyadh (third industrial region). Additionally, polluted soil samples were obtained from sewage water in the Medina area. These samples, totaling nine from the agricultural areas, were treated by grounding (manually for 10 min), drying, and passing them in 2.0 mm sieve, and then preserved in sealed plastic capsules. ICP analysis was employed for the analysis of these selective metals.

2.2 ICP spectrometry conditions

The instrument’s operational temperature was carefully set at a precise −14.89°C, ensuring an optimal working environment for the analysis using a Shimadzu ICPE–9000 Spectrometer. The flow rates of the various gases were meticulously controlled throughout the analysis. Specifically, the plasma gas (Ar), flow rate of 10 L/min, the auxiliary gas (Ar, 0.6 L/min), and carrier gas (Ar, 0.7 L/min) were set. This precise control of the gas flow rates is essential for the reliability of quantitative analysis. The spectrometer was operated in an axial view to provide a specific orientation for the analysis process. Additionally, the radio frequency (Rf) power applied was set at a level of 1.2 kW, and the pressure within the system was carefully regulated to be 450 + 10 kPa. These parameters were rigorously controlled to demonstrate the stability and accuracy of the results. The rotation speed of the spectrometer was adjusted to 20 rpm. This adjustment is crucial for optimizing the performance of the instrument during quantitative analysis, contributing to the precision and efficiency of the measurements.

2.3 Working solution standards

To create working standard solutions, a Scharlau ICP multi-element calibration standard solution was diluted. This dilution was achieved by mixing the calibration standard with 5% HNO3 and water (deionized) to obtain a final volume of 1,000 mL. A wet digestion method was employed for the preparation of the soil samples. About 0.5 g of the sample was placed in a dry beaker. Then, approximately 3.0 mL of concentrated HNO3 and 1.0 mL of concentrated HCl were poured into the soil sample in a beaker. The resulting mixture was left for 24 h to obtain a proper digestion.

After digestion, the mixture was placed on a hot plate and heated to 150°C for a duration of 2 h. This step is crucial for breaking down organic and inorganic components in the soil and converting them into a soluble form. The purpose of filtration is to separate solid particles or undissolved materials from the liquid portion of the mixture. Once filtration was complete, the volume of the liquid was adjusted to the mark of the 500 mL volumetric flask using deionized water. This final step ensured that the concentration of the dissolved soil components was accurately measured and ready for further analysis.

2.4 Analysis of heavy metals in soil samples

2.4.1 Physicochemical properties of soil samples

To identify the presence and levels of heavy metals in the soil samples, diverse analytical techniques were utilized. These methods encompassed atomic absorption spectroscopy employing both flame and furnace procedures, along with ICP analysis. Over time, these methodologies have been developed and perfected to specifically address the detection and quantification of metals in environmental samples. The efficiency of the suggested approach in evaluating soil acidity and contamination levels was evaluated by analyzing various essential parameters. This thorough assessment involved scrutiny of several factors.

2.4.1.1 Mineral concentration determination

The method began by ascertaining the mineral concentration in the soil, which is a pivotal aspect of soil quality assessment. This was accomplished by measuring pH levels, providing valuable insights into soil acidity and alkalinity. pH serves as a fundamental indicator of soil chemical properties.

2.4.1.2 Metal concentration quantification

To gain a deeper understanding of soil contamination, metal concentration was quantified. Quantification was expressed in milligrams per kilogram (mg/kg), a standard unit of measurement. These metal concentrations were instrumental for assessing the presence and degree of metal pollutants in the soil. Additionally, Tkalec et al. [24] indicated that this aspect of the analysis followed a specific protocol or source for standardized measurements.

2.4.1.3 EC assessment

The method also evaluated EC as a vital parameter. EC measurements, conducted in siemens per centimeter (S/cm), provided valuable information regarding the electrical conductance of the soil. This behavior is indicative of the soil salinity and ion concentration, which can be associated with contamination in some cases.

2.4.1.4 Total dissolved solid (TDS) evaluation

Another important aspect of the assessment involved the determination of the TDS. TDS measurements, expressed in micrograms per liter (µg/L), provided a comprehensive view of the soluble components present in the soil. This measurement helps in understanding the overall solute content, which can include both beneficial and harmful substances.

2.4.1.5 Chlorine anion concentration measurement

The method included the measurement of chlorine anion (Cl) concentration, also expressed in micrograms per liter (µg/L). This measurement is significant because chlorine anions can indicate specific contaminants or environmental conditions. Monitoring the Cl concentration assists in identifying potential sources of contamination in the soil.

2.4.2 Statistical analyses

To determine the importance of and notable distinctions within the soil samples, statistical analyses were conducted using an ANOVA test.

2.4.3 Heavy metal pollution assessment

The PLI was calculated [25] using the following formula:

PLI = ( P i 1 × P i 2 × P i n ) 1 n ,

where PLI represents the pollution level, P i denotes the contamination index for element i, and n denotes the total number of elements under consideration.

The individual contamination index (P i ) for each element was calculated as follows: P i = C i / S i , where C i is the concentration of the sample element, and Si represents the background concentration of the element in the sample.

Interpreting the PLI values, a PLI ≤ 1 indicates an uncontaminated site, PLI ≤ 1 signifies a slightly polluted site, 2 < PLI ≤ 3 suggests moderate pollution, 3 < PLI ≤ 5 indicates substantial pollution, and PLI > 5 signifies a very high level of pollution [26,27].

2.4.4 Extent of metal pollution by quantitative measurements

The extent of metal pollution is evaluated based on the geoaccumulation index (I geo) [28] as follows:

I geo = l og 2 C n 1.5 B n .

In this equation, C n is the total concentration of the element “n” in the soil, and B n is the average concentration of element “n”. The constant “1.5” is used to mitigate the potential impact of variations in soil background values.

Interpreting the I geo values, the following categories apply: I geo ≤ 0 indicates an unpolluted condition, 0 < I geo ≤ 1 suggests a condition ranging from unpolluted to moderately polluted, 1 < I geo ≤ 2 refers to moderately polluted, 2 < I geo ≤ 3 implies a condition ranging from moderately to high polluted, 3 < I geo ≤ 4 signifies a high polluted environment, 4 < I geo ≤ 5 denotes a condition that can vary from strongly to extremely polluted, and I geo > 5 indicates an extremely highly polluted state [26,27].

2.4.5 Soil enrichment evaluation

An indicator known as the EF is used to evaluate the contaminant deposition on the soil. EF is calculated by normalizing the specific element concentration in the topsoil, typically iron [25,26,27], in relation to the reference element concentration. The EF is calculated as follows [28]:

EF = ( C x / C reference ) sample / ( C x / C reference ) background ,

where EF is the enrichment factor, C x represents the element of interest concentration in the sample, and C reference is the reference element concentration; in most cases, Fe is used for normalization purposes.

EF < 2 indicates a low deficiency. When 2 < EF < 5, it suggests a moderate enrichment range. A significant level of enrichment is indicated when EF falls within the range of 5 < EF < 20. Strong enrichment is represented by EF values in the range of 20 < EF < 40. EF values exceeding 40 are indicative of extremely high enrichment.

3 Results and discussion

3.1 Analyses of soil samples for metal evaluation

3.1.1 Physicochemical evaluation

As detailed in Table 1, the pH levels exhibited a range from 5.1 to 6.4, with an average value of 5.8. These pH measurements collectively indicate the acidic nature of all soil samples analyzed. Notably, these pH conditions are unfavorable for agricultural purposes [29]. Lowering the soil pH could potentially enhance the essential nutrients within it. It is worth mentioning that pH plays a pivotal role in the transport of metals within the soil matrix [30].

Table 1

pH, EC, TDS, Cl concentration of the agricultural soils of Medina, Qassim, and Al-Kharj

Region TDS (g/L) pH EC (µs) Cl (mg/L) 103
Qassim 1.71 6.4 2.14 0.283
Clay 1.68 6.0 4.81 0.279
Medina 1.38 5.1 2.24 0.230
Sandy 1.68 6.2 7.89 0.279
Al-Kharj 1.60 5.1 4.83 0.266

In terms of EC values, the recorded measurements spanned from 2.14 to 7.89 µS/m. A similar trend was observed when assessing TDS, where an increase in TDS values correlated with higher EC values in the soil. The data in Table 1 further illustrate the significant variability in TDS values across the three sampled sites. Notably, the great TDS value is estimated in the Qassim region’s soil, measuring at 1,710 mg/L. In contrast, the TDS value markedly decreased in soil sampled farther from the Medina region.

Additionally, the analysis revealed Cl ions in the soil, with the highest percentages recorded in the Qassim region, amounting to 283.9 mg/L. This trend in Cl concentrations remained consistent across various soil types, including sandy, clay, and yellow soils, as well as both topsoil and soil samples obtained at a depth of 50 cm. It is worth noting that irrigation with groundwater containing elevated chlorine levels can adversely affect plant growth. This is because soil does not readily absorb chlorine, causing it to be transported along with soil water. As a result, plants absorb and accumulate chlorine in their leaves, potentially leading to adverse effects on overall health and vigor [29] (Table 2).

Table 2

Heavy metals (average and common range) in soil (mg/kg–1) [33]

Element Common range in soils (mg kg–1) 103
Max. Min. Average
Pb 0.2 0.002 0.01
Co 0.04 0.001 0.008
Hg 0.0003 0.00001 0.0003
Ni 0.5 0.005 0.04
Be 0.04 0.0001 0.006
Cu 0.1 0.002 0.03
Se 0.002 0.0001 0.0003
Zn 0.3 0.01 0.05
As 0.05 0.001 0.005
Fe 55 7.0 38.0
V 0.5 0.02 0.1
Mn 3.0 0.02 0.6
Mo 0.005 0.00020 0.002
Cr 1.0 0.001 0.1
Cd 0.0007 0.00001 0.00006
Ti 10 1.0 4.0

3.2 ICP spectrometry analysis

3.2.1 Analysis of the Qassim agricultural soil

Table 3 presents the heavy metal concentrations observed in the Qassim agricultural soil. Iron (Fe) exhibited the highest concentration at 700 mg/kg, while beryllium (Be) had the lowest concentration at 0.15 mg/kg. Notably, elevated concentrations were observed for copper (Cu), manganese (Mn), and titanium (Ti). Selenium (Se) had a significantly higher average concentration of 3.9 mg/kg, which is approximately 13 times higher than the background level of 0.3 mg/kg. It is worth mentioning that calcium (Ca) exceeded the permissible soil limit, possibly linked to the use of phosphate fertilizers, a significant factor contributing to the increase in cadmium concentration [31,32].

Table 3

Metal types and their concentrations in soils in the Medina, Al-Kharj, and Qassim regions

Element Concentration (mg/kg) 103
Qassim Medina Al-Kharj
Pb 0.0018 0.0027 0.0023
Be 0.00015 0.00016 0.00017
Hg 0.00032 0.00036 0.000415
As 0.0006 0.00055 0.0007
Se 0.0039 0.0005 0.006
Ni 0.0038 0.00445 0.004050
Zn 0.001 0.0014 0.001250
Fe 0.7 1.4 0.8
Cu 0.009 0.01 0.009500
Cr 0.0019 0.00225 0.002
Co 0.001 0.00185 0.001150
V 0.00016 0.00025 0.000110
Mn 0.006 0.013 0.01
Mo 0.0018 0.00275 0.0023
Ti 0.006 0.01195 0.0045
Cd 0.0002 0.000255 0.000245

In general, most mineral levels in the soil remain within permissible limits [33], but mercury (Hg) exhibits a higher concentration of 0.325 mg/kg, surpassing the global average metal concentration by a factor of 11 [33]. The relatively higher Hg concentrations can be attributed to anthropogenic factors such as fossil fuel combustion, incineration of metal waste, and mining activities [34].

Therefore, when considering the order of increasing mineral concentrations, it follows the sequence: iron > copper > titanium > manganese > selenium > nickel > chromium > molybdenum > lead > cobalt > zinc > arsenic > mercury > cadmium > vanadium > beryllium.

3.2.2 Metal analysis of the Medina agricultural soil

Table 3 provides insights into the concentrations of heavy metals in agricultural soil in the Medina region. The mineral concentrations within the soil of the Medina region exhibited 0.16 and 2.75 mg/kg. Notably, the average iron (Fe) concentration stood out, reaching 1,400 mg/kg, signifying its prevalence among the studied minerals. It is important to note that several reports have highlighted that the elevated presence of Fe in soil is associated with living organisms [35].

Another noteworthy finding was the substantial concentration of titanium (Ti) at 19.5 mg/kg in the soil. Mn emerged as the third most prominent mineral in Medina (13 mg/kg), which matches with other work in agricultural practices [36].

In addition to iron, elevated copper (Cu) and nickel (Ni) percentages were recorded in the soil of the Medina region, related to the estimated 10 and 4.45 mg/kg, correspondingly. However, it is crucial to highlight that all of these elements in the soil remained within permissible limits, except for mercury (Hg), selenium (Se), cadmium (Cd), and molybdenum (Mo). Their concentrations in the soil were evaluated at 0.36, 0.5, 0.25, and 2.5 mg/kg, respectively, indicating that they exceeded the permissible limits.

In terms of the order of increasing mineral concentrations, it followed this sequence: iron > titanium > manganese > copper > nickel > lead > molybdenum > chromium > copper > zinc > arsenic > selenium > mercury > cadmium > vanadium > beryllium. These findings provide valuable insights into the metal percentages in the soil of the Medina region and their adherence to permissible limits, except for a few exceptions, highlighting the importance of monitoring and managing soil quality to mitigate potential environmental risks.

3.2.3 Metal analysis in the Al-Kharj agricultural soil

For the metals in the Al-Kharj, the evaluated percentages are 800, 10, 9.5, 4.55, and 4.05 mg/kg for Fe, Mn, Cu, Ti, and Ni, respectively. The metal order is iron > manganese > copper > selenium > titanium > nickel > molybdenum > lead > chromium > zinc > copper > arsenic > mercury > cadmium > beryllium > vanadium.

All elements were within permissible limits except for mercury (Hg), selenium (Se), cadmium (Cd), and molybdenum (Mo). The concentrations of Cd, Se, and Hg exceeded the normal levels, with cadmium, selenium, and mercury ratios being 14, 20, and 4 times higher than the permissible concentrations, respectively.

Table 3 provides an overview of metal types and their concentrations in Medina, Al-Kharj, and Qassim.

3.2.4 Comparison of mineral concentrations in different regions

The mineral concentrations in the three regions are presented in Table 3 and Figure 1. According to this analysis, the sequence of minerals is as follows: beryllium < vanadium < cadmium < mercury < selenium < arsenic < zinc < cobalt < chromium < molybdenum < lead < nickel < titanium < copper < manganese < iron. This order is attributed to land irrigation involving fertilizers containing minerals and other agricultural practices.

Figure 1 
                     The Qassim soil, Medina, and Al-Kharj regions relative to the mineral concentration (column standard error 1.1%).
Figure 1

The Qassim soil, Medina, and Al-Kharj regions relative to the mineral concentration (column standard error 1.1%).

Iron (Fe) emerged as the most abundant mineral among those studied, with concentrations ranging from 700 to 1,400 mg/kg. The medina has the highest concentration of iron, which varies significantly depending on soil type and local factors.

Manganese (Mn) had a concentration of 13 mg/kg in Medina soil, followed by Al-Kharj and Qassim. Mn is an essential nutrient, and a daily intake of a small amount is crucial for maintaining health.

Copper (Cu) was identified as the third most abundant metal in the studied soils (9–10 mg/kg). These percentages were below the permissible limit, indicating compliance with the safety standards. Overall, these findings highlight the role of natural factors and agricultural practices in determining these concentrations.

The presence of titanium in the soil of Medina was particularly noteworthy, with a concentration of 19.5 mg/kg. This was a surprising finding, considering that the concentrations of titanium in the soils of the Qassim and Al-Kharj regions were significantly lower, measuring 6 and 4.55 mg/kg, respectively. Importantly, titanium in the Medina soil remained within permissible limits. This discrepancy in titanium concentrations among the regions highlights the variability in soil composition and natural factors influencing mineral distribution.

Both nickel (Ni) and chromium (Cr) were found to be within safe and permissible limits. The main concentrations of nickel and chromium are 3.8–4.45 mg/kg and 1.9–2.25 mg/kg, respectively. Medina soil exhibited the highest concentrations of both Ni and Cr, while the Qassim soil had the lowest concentrations. Exposure to chromium can occur from both natural and industrial sources, emphasizing the need for continued monitoring and assessment of soil quality to ensure the safety of agricultural practices and environmental health [37,38,39].

The concentrations of nickel and chromium in human inputs, such as manure and fertilizers, were relatively low compared to the normal ratios. The percentage of Zn in Medina is within safe and standard levels (1.4 mg/kg) [40], while V has a lower ratio than the normal percentage. Additionally, the estimated value for Pb is 2.75 mg/kg, which is considered an acceptable ratio [41]. The mineral content is 0.55–0.7 mg/kg, representing a low ratio relative to standard percentages [42]. The cobalt ratio is 1.85 mg/kg, indicating a low ratio compared to standard percentages [43].

The presence of cadmium in the soil is notably elevated compared to the average concentration of metals estimated by the WHO. The typical range for metal concentration in soil, according to WHO standards, is between 0.2 and 0.25 mg/kg. In contrast, the Cd levels in this soil are four times higher than the safe limit. This heightened cadmium content can be attributed to a combination of natural processes and human activities that introduce cadmium into the environment.

Cadmium is an element known for its extreme toxicity, and exposure to it can have severe health implications for humans. Even relatively low exposure levels can lead to disease symptoms. Cadmium can cause anemia, a diminished sense of smell, and cardiovascular issues. These health risks underscore the importance of addressing and mitigating cadmium contamination in soil to safeguard the environment [44].

Among the minerals examined, Mo exhibited the highest concentration in the soils of both Medina and Al-Kharj. It reached levels of 2.5 and 2.3 mg/kg, respectively. Notably, in these two regions, the Mo concentration surpassed the limit set for soil, while in the Qassim region, its content remained below the safe limit. Molybdenum has nutritional effects on both animals and plants. Imbalances, whether in deficiencies or excessive levels, can lead to health problems. Therefore, there is a significant concern regarding elevated molybdenum levels, particularly in terms of its impact on copper absorption in the human body, which can result in skeletal malformations [45].

Selenium, another mineral, has the potential to be toxic to the environment in recent decades. In the studied soil samples, Se concentrations ranged from 0.5 to 6 mg/kg. Notably, the levels of selenium exceeded the recommended limits for soil, with the Al-Kharj area exhibiting levels 20 times the permissible limit, while Medina had the lowest selenium concentration. These Se levels may be attributed to the ratio of selenium in fertilizers, and heavy rain can also influence the selenium content of the topsoil [46].

The mercury concentration in the soil across the three studied regions is within the range of 0.32–0.41 mg/kg. All three regions exceeded both the permitted and recommended levels of mercury in the soil. A high concentration of mercury was observed in the Al-Kharj area, surpassing the recommended level by a factor of 14. When comparing the concentrations of these elements across the three regions, it is apparent that Medina had the highest mineral content in its soil, even though it remained within permissible limits. Conversely, among the three regions, the Qassim region exhibited the lowest mineral content. The highest mineral concentrations are typically found in urban, suburban, and rural areas [47].

Statistical analysis indicated that the one-way analysis of variance did not yield differences (P > 0.05) in the element averages across different agricultural areas. This suggests that there are no significant disparities in the mean concentrations of these elements based on the various agricultural zones studied.

3.2.5 Statistical analysis

Table 4 provides data on the statistical analysis of various metals in nine agricultural soils from three regions of Saudi Arabia. A careful examination of Table 4 reveals that when we compare the range of concentrations of these metal ions to their respective means, most of the metals do not exhibit significant variability. This lack of substantial variability suggests that these metals are present in the soil samples at levels that do not raise concerns regarding pollution or excessive accumulation.

Table 4

Statistical analysis of agricultural soils from Qassim, Medina, and Al-Kharj regions

Element Concentration (µg/kg)
Min. Area Max. Area Mean SD
Pb 1,800 Qassim 2,750 Medina 2,283 475.2
Co 1,050 Qassim 1,850 Medina 1,350 435.9
Hg 325 Qassim 415 Al-Kharj 366 45.4
Cr 1,900 Qassim 2,250 Medina 2066.7 175.6
Be 150 Qassim 170 Al-Kharj 1,600 10
V 110 Medina 250 Medina 173.3 70.9
Se 500 Medina 6,000 Al-Kharj 3466.7 2775.5
Cd 2,000 Qassim 255 Medina 233.3 29.3
As 550 Medina 700 Al-Kharj 616.7 76.4
Mo 1,800 Qassim 2,500 Medina 2,200 360.6
Zn 1,050 Qassim 1,400 Medina 1233.3 175.6
Ni 3,800 Qassim 4,450 Medina 4,100 327.9
Cu 9,000 Qassim 10,000 Medina 9,500 500
Ti 4,550 Al-Kharj 19,500 Medina 10016.7 8244.7
Mn 6,000 Qassim 13,000 Medina 9666.7 3511.9

However, it is crucial to note that there are exceptions to this general trend. Specifically, in the case of cadmium, molybdenum, selenium, and mercury, the range of concentrations is notably wider when compared to their respective means. This disparity implies that these particular metals display a higher degree of variation in their distribution within the soil samples. Such variations could be indicative of localized pollution sources or natural factors that lead to the uneven distribution of these metals in the soil. Consequently, this observation highlights the need for further investigation and monitoring in areas where cadmium, molybdenum, selenium, and mercury concentrations are elevated, as this could signify potential environmental issues or health hazards.

3.2.6 Comparison of the sublayers and the surface of the soil

The limited minerals in the soil result in low mobility of heavy elements within it. This low mobility contributes to a high degree of uniformity in the concentration of these elements in the soil, particularly in arid and semi-arid regions. Figure 2 shows a comparison of heavy metal concentrations in agricultural soil (surface minerals and other minerals from a depth of 50 cm). These metals can be categorized into three classes based on their behavior with depth. The first class comprises elements whose concentrations remain relatively consistent regardless of depth. This group includes mercury, nickel, vanadium, cadmium, and molybdenum. The second class consists of minerals that exhibit a decrease in concentration as they move deeper into the soil. Selenium and nickel belong to this category. In the third category, we found metals whose concentrations increase as one goes deeper into the soil. This group includes lead, arsenic, zinc, copper, iron, manganese, chromium, and titanium. It is important to note that iron has the highest concentration in all the samples collected in this study. Arsenic, for instance, is primarily introduced into the soil through pesticides and fertilizers. It is noteworthy that statistical analysis of the data reveals that the significance level (P > 0.05) suggests no variation in mineral concentrations from the surface soil samples and those obtained at a depth of 50 cm. This indicates that the uniformity of the metal distribution in the soil is true regardless of the depth at which the samples are collected.

Figure 2 
                     Mineral (mg/kg) from the surface and subsurface (depth 50 cm) (column standard error 1.2%).
Figure 2

Mineral (mg/kg) from the surface and subsurface (depth 50 cm) (column standard error 1.2%).

3.2.7 Comparison of soil types (clay–sandy–loam) relative to mineral concentrations

Figure 3 illustrates the mineral concentrations relative to the types of soil (clay–sandy–loam), in which all the observed minerals are present in these various soil types except arsenic, which was absent in sandy soils.

Figure 3 
                     Metals (mg/kg) for (sandy-clay-loam) soil (column standard error 1.5%).
Figure 3

Metals (mg/kg) for (sandy-clay-loam) soil (column standard error 1.5%).

In sandy soil, certain minerals were detected at low concentrations, including Mo (molybdenum), V (vanadium), and Be (beryllium). Some minerals were found at medium ratios, such as Mn (manganese), Ni (nickel), and Se (selenium), while others were present at high ratios; titanium, iron, and copper represent these high ratios. Se, Cd, and Hg were observed at 11, 9, and 3.

Clayey soil exhibited higher mineral concentrations than sandy soil, reaching levels of 17.5, 11.5, 1,250, 11, and 8mg/kg; manganese, copper, iron, titanium, and nickel were observed, respectively. However, it is worth mentioning that all minerals in clayey soil remained below the ratio specified by the WHO for soil, considering other metals that exceeded these ratios by 12- and 16-fold, such as Hg and Se, respectively. Yellow soil displayed mineral concentrations that closely resembled those in sandy soil, with the primary distinction being higher levels of Fe, Mn, Ni, and Cu. In yellow soil, Fe was notably elevated at 700 mg/kg, while Mn, Ni, and Cu were present at concentrations of 6, 3.8, and 9 mg/kg, respectively. Similar to sandy soil, all elements in yellow soil remained within permissible limits, except for Hg, Se, and Cd, which exceeded these limits at 0.32, 3.9, and 0.2 mg/kg, respectively.

Upon comparing these soil types, it became evident that the yellow soil closely resembled sandy soil in terms of mineral content, with the main difference being the higher levels of certain metals. In contrast, the clayey soil exhibited the highest mineral content among the soil types studied.

Statistical analysis of the data revealed no differences in the concentrations of the studied minerals among sandy, clayey, and yellow soils. This suggests that mineral distribution remained relatively consistent across these soil types.

3.2.8 Comparison of agricultural, sewage-contaminated, and industrial soils relative to metal concentrations

The variation in the soil will affect the mineral ratio, so sewage-contaminated soil was used approximately 50 m away from a sewage stream in the Medina region and industrial soil (third industrial city, Riyadh).

Additionally, agricultural soil samples were collected from the Qassim region for comparison. Figure 4 presents a comparative analysis of mineral concentrations in three types of soil: agricultural, industrial, and polluted.

Figure 4 
                     Comparison of heavy metal ratios in agricultural, industrial, and sewage-contaminated soils (column standard error 1.2%).
Figure 4

Comparison of heavy metal ratios in agricultural, industrial, and sewage-contaminated soils (column standard error 1.2%).

Notably, there was a significant disparity in mineral concentrations based on the type of soil (agricultural, industrial, or polluted). The study revealed a substantial increase in mineral content in soils with sewage water pollution compared to both industrial and agricultural soils. When arranging the soil types in terms of their mineral content, they can be ranked as follows: polluted soil < industrial soil < agricultural soil.

Furthermore, when assessing the concentrations of minerals across these soil types, a significant accumulation of iron was observed in all three categories (agricultural, industrial, and polluted). This iron accumulation was particularly pronounced in soil contaminated with sewage water, where iron concentrations reached as high as 5,000 mg/kg. In industrial soil, iron levels were slightly lower, measuring at 1,100 mg/kg, while in agricultural soil, they were at 700 mg/kg.

These findings highlight the substantial differences in mineral composition among these soil types, with polluted soil displaying the highest mineral content and a particularly notable buildup of iron. This information underscores the importance of monitoring and managing soil quality, especially in areas exposed to contamination from industrial or sewage sources, as it can have significant implications for environmental health and agricultural practices.

It is important to note that some studies have indicated exceptionally high levels of iron in soil, raising concerns about its potential carcinogenic and mutagenic effects on the health of organisms.

Manganese, on the other hand, ranks second in terms of its presence in all soil types studied. It is particularly abundant in soils near sewage water sources, with concentrations reaching up to 100 mg/kg. In comparison, industrial and agricultural soils contain lower manganese levels, measuring at 9.5 and 6 mg/kg, respectively (safe ratio). Some agricultural applications emphasize the importance of manganese in soil management and nutrient balance.

Copper, while essential in trace amounts, can be highly toxic if its concentration exceeds the permissible limits. After manganese, copper exhibits the highest concentration in all the soil types under investigation. Notably, the Cu concentration increased suddenly to 28.5 mg/kg in the pollutant regions, but still safe (<30 mg/kg), relative to Lindsay in 1979.

Titanium concentrations in all soil types were relatively high, ranging from 6 to 19 mg/kg. Importantly, these levels were within safe limits for the soil. Titanium is a notable component of soil and does not raise concerns about exceeding acceptable concentrations.

The concentration of nickel in both industrial and agricultural soils exhibited similar levels, measuring at 3.8 and 3.25 mg/kg, respectively. In contrast, there was a notable disparity in polluted soils, where the concentration of nickel reached 10.5 mg/kg. It is worth noting that this higher concentration of nickel in polluted soil remained within the safe ratio for soil.

Within agricultural soil, chromium concentrations range from 1 to 9 mg/kg, reaching 7 mg/kg in specific localized areas. Importantly, all these concentrations remained below the permissible limit for soil.

In contaminated soils, the highest recorded zinc concentration is 9 mg/kg, which is within the safe limit for soil. Cobalt levels in agricultural soil range from 1.55 to 1.05 mg/kg, extending to 5.5 mg/kg in other polluted regions, still maintaining a safe ratio. Vanadium and beryllium exhibit concentrations of 0.15–1 mg/kg, indicating a very limited ratio within the safe range. Overall, the soil samples in this study contained all types of minerals at concentrations lower than the average general concentration of minerals typically found in soil.

Figure 4 shows an array of data for various mineral concentrations. However, five minerals require special attention because their levels exceed the recommended limits.

Arsenic: In industrial soil, arsenic levels reach 60 mg/kg, which is a high risk relative to the WHO, which is typically around 5 mg/kg. In sewage-contaminated soil, arsenic concentration also exceeded permissible limits, reaching 13 mg/kg, whereas in agricultural soil, it remained below the permissible limit of 0.6 mg/kg.

Molybdenum: In both sewage-contaminated and industrial soils, molybdenum concentrations surpassed permissible limits. However, in agricultural soil, molybdenum levels are within safe limits.

Selenium, mercury, and cadmium: These three minerals also exceed permissible limits in different soil types. Their concentrations were notably higher than the recommended levels, with selenium, mercury, and cadmium being up to 20, 17, and 4 times higher, respectively, in industrial soil than the permissible limits for soil. These percentages decreased in the agricultural soil.

3.2.9 Comparison of current results for metal concentrations in Saudi with previous studies

This comparative analysis is encouraging as it highlights the present metal concentrations relative to other regions in Saudi Arabia (Table 5). Nickel (Ni), zinc (Zn), lead (Pb), cobalt (Co), and chromium (Cr) exhibit lower levels compared to previous regions such as Riyadh and Al-Kharj. Copper (Cu) maintains a safe ratio in the current estimation and is lower than that in other regions. Selenium (Se) shows a higher ratio than the Gulf region, exceeding the safe limits. Additionally, cadmium (Cd) surpasses the permissible limit in this current study and is relatively higher than in other regions studied previously.

Table 5

Metals in Medina, Qassim, and Al-Kharj regions in the current study compared to previous studies

Concentration (µg/kg)
Pb Hg Be Se As Zn Cu Ni Co Fe Mn Cr Ti V Cd Mo
Qassim region (present study) 1,800 320 150 3,900 600 1,050 9,000 3,800 1,050 700,000 6,000 1,900 6,000 160 200 1,800
Madena region (present study) 2,750 360 160 500 550 1,400 1,0000 4,450 1,850 140,0000 13,000 2,250 19,500 250 250 2,500
Al-Kharaj region (present study) 2,300 410 170 6,000 700 1,250 9,500 4,050 1,150 800,000 10,000 2,050 4,550 110 240 2,300
Riyadh 5,600 9,520 8,860 11,100 0 10.48 60
Al-Hayer area [54] 7,140 27,400 10,910 3,000 0
Al-Kharaj region [55] 18,710 38,450 14,700 21,800 43.5 0.19
Al-Hassa Qasis [56] 27,70 15,450 26,610 4,320 2,460 0.04
Qassim Region [57] 6,500 100 1,645,000 8.1

3.3 Contamination assessment methods of soil enrichment

3.3.1 EF evaluation of soils

Table 6 and Figure 5 present data regarding the statistical analysis of heavy metal concentrations in soils from agricultural areas in three regions of Saudi Arabia: Qassim, Medina, and Al-Kharj. Additionally, the EF is evaluated to determine the extent of mineral enrichment in the soil.

Table 6

EF in agricultural soils of Medina, Qassim, and Al-Kharj

Element Concentration (µg/kg)
Mean of EF Range of EF Pollution level
Pb 5829.8 4,635–6,785 Significant
Mn 561.9 476.0–694.1 Light
Hg 48780.4 30,342–61,212 extreme
Ti 96.4 58.4–142.9 Light
Be 2837.6 1,792–3,371 Moderate
V 65.9 49.9–83 Light
Se 352,127 28,095–590,000 extreme
Mo 43763.7 32,417–52,192 Extreme
As 2571.8 1,426–3,176 Moderate
Co 3526.7 3,282–3,726 Moderate
Zn 672.8 496–776 Light
Cr 1203.4 842.9–1423.5 Light
Cu 11144.4 7,492–13,485 Significant
Ni 3162.8 2,206–3,768 Moderate
Figure 5 
                     EF in agricultural soils of the selected regions.
Figure 5

EF in agricultural soils of the selected regions.

For certain elements like Zn, Mn, Cr, and V, the EF values were <2, indicating that their presence in the soil is primarily linked to natural sources and geological processes. These elements are considered to provide light fertilization to the soil. Co, Ni, As, and Be showed EF values ranging from 2 to 5 (moderate ratio). As and Be have a high ratio in Medina. With EF = 5–20, copper and lead have a high ratio, in which lead decreases to 4.5 in Medina (moderate ratio).

In contrast, elements like Mo, Cd, Hg, and Se had EF values greater than 40 (EF > 40) in the soil of the Qassim and Al-Kharj regions, signifying strong fertilization. This high degree of enrichment of these elements could potentially be related to pesticides in agricultural practices or the application of chemical and organic fertilizers. Notably, the soil in Medina showed lower EF values for these elements than the other regions. Overall, the EF values for the soil in the Medina region were lower. EFs are valuable tools for distinguishing between naturally occurring mineral pollutants and those originating from human activities, aiding the assessment of environmental and agricultural impacts [48,49,50].

3.3.2 Pollution index (PI)

The PI values in Medina, Qassim, and Al-Kharj agriculture regions are shown in Table 7 and Figure 6. Across all studied sites, the PI values for all heavy elements were greater than 1, with the exception of Hg and Se minerals.

Table 7

PI classification for metals in soils

PI value Level of pollution
PI ≤ 1 Unpolluted
PI > 5 Very strongly polluted
3 < PI ≤ 5 Strongly polluted
2 < PI ≤ 3 Moderately polluted
1 < PI ≤ 2 Slightly polluted
Figure 6 
                     PI values for metals in selected regions (column standard error 1.2%).
Figure 6

PI values for metals in selected regions (column standard error 1.2%).

In the case of selenium (Se), the PI values are notably high, reaching 10 (in Qassim) and 6.5 (in Al-Kharj). These elevated PI values suggest that the soil in these regions experiences severe pollution due to these metals. However, the PI values for Se were lower in the Medina soil, indicating that it was relatively uncontaminated.

For mercury (Hg), the PI value in the Al-Kharj region is 1.0375, which is slightly above 1. This suggests that the soil in the Al-Kharj region experiences minor Hg pollution.

Overall, the PI values revealed some variations in metal pollution levels in the soils of these regions.

Table 8 provides information about the range and mean values of the PI for metals in the agricultural areas of Medina, Qassim, and Al-Kharj.

Table 8

PI for metals in the agricultural soils of Medina, Qassim, and Al-Kharj

Element Concentration (µg/kg)
Mean of PI Range of PI Range of pollution level
Pb 114.2 90–137 Unpolluted
As 47.4 42–53 Unpolluted
Hg 916.7 812–1,037 Unpolluted to slightly polluted
Zn 13 11–14 Unpolluted
Be 53.3 50–56 Unpolluted
Se 5777.8 833–10,000 Unpolluted to very strongly polluted
Co 71.1 5.5–9.7 Unpolluted
Cr 23 2.11–2.5 Unpolluted
Cu 211.1 20–22.2 Unpolluted
Ni 60.3 5.5–6.5 Unpolluted
Cd 777.8 66.6–85 Unpolluted
Mn 11.4 7.1–2.5 Unpolluted
Mo 846.2 69.2–96.1 Unpolluted
Ti 2.2 1–4.2 Unpolluted
V 1.3 0.8–1.9 Unpolluted

3.3.3 Quantitative evaluation of metal pollution

Table 9 and Figure 7 present a quantitative evaluation of the metal contamination. This measure is represented by the geographical accumulation index (I geo) for various heavy elements in the agricultural soils of the Medina, Al-Kharj, and Qassim regions.

Table 9

I geo evaluation for metals

I geo I geo value Level of pollution
0 I geo ≤ 0 Unpolluted
1 0 < I geo ≤ 1 Unpolluted to moderately polluted
2 1 < I geo ≤ 2 Moderately to polluted
3 2 < I geo ≤ 3 Moderately to strongly polluted
4 3 < I geo ≤ 4 Strongly polluted
5 4 < I geo ≤ 5 Strongly to extremely polluted
6 I geo > 5 Extremely polluted
Figure 7 
                     
                        I
                        geo evaluation for metals (column standard error 0.7–1.05%).
Figure 7

I geo evaluation for metals (column standard error 0.7–1.05%).

For selenium (Se), the I geo values were found to be 2.1 (Qassim) and 2.7 (Al-Kharj) soil, both of which are moderately to strongly polluted concerning selenium. In contrast, selenium did not contaminate Medina soil, as the I geo for this element was below the pollution threshold.

For all other studied minerals in the soil of the three agricultural areas, the I geo values were (I geo ≤ 0), indicating that these soils are unpolluted by these elements. This aligns with the low PI values for these minerals, suggesting minimal pollution in the soil. The mean I geo values show a consistent trend in pollution levels, mirroring the PI findings. Notably, the highest pollution level was observed for mercury which exhibited a very strong pollution environment with I geo values exceeding 2. For selenium (Se), the I geo values of 2 in Al-Kharj and Qassim soil indicate moderate to strong pollution. Overall, the findings suggest that the accumulation of these metals in agricultural soils is generally low, except for selenium and mercury in specific areas, which exhibit varying degrees of pollution.

Table 10 provides an assessment of the geographical accumulation index (I geo). It includes ratings, presented ranges, and average I geo values for these metals.

Table 10

I geo evaluation for metals in Medina, Qassim, and Al-Kharj

Element Mean of I geo Range of I geo Range of pollution level
Pb –3.7372 –4.0589 to –3.4475 Unpolluted
As –4.9901 –5.1479 to –4.8000 Unpolluted
Hg –0.7178 –0.8845 to –0.5319 Unpolluted
Cu –4.1649 –6.8329 to –2.7549 Unpolluted
Ni –4.6398 –4.7464 to –4.5186 Unpolluted
Be –4.8157 –4.9069 to –4.7263 Unpolluted
Se 1.3348 –0.8480 to 2.7370 Unpolluted to moderately polluted to strongly polluted
Co –4.4464 –4.7625 to –3.9454 Unpolluted
Zn –6.8622 –7.0844 to –6.6694 Unpolluted
Mn –7.1138 –7.7313 to –6.6158 Unpolluted
Cr –6.0330 –6.1508 to –5.9069 Unpolluted
Ti –9.7336 –10.5665 to −8.4670 Unpolluted
V –10.2168 –10.7918 to –9.6073 Unpolluted
Cd –0.9555 –1.1699t to –0.8194 Unpolluted
Mo –0.8396 –1.1155 to –0.6415 Unpolluted

4 Conclusions

This study aimed to evaluate soil quality in three agricultural regions in Saudi Arabia: Qassim, Medina, and Al-Kharj. The primary objective was to quantify the metals in the soil because these elements can significantly affect the growth and health of cultivated crops. The analysis covered 16 metals: molybdenum, cadmium, vanadium, titanium, chromium, manganese, iron, cobalt, nickel, copper, zinc, arsenic, selenium, beryllium, mercury, and lead, across nine sampling points within these agricultural areas. The study outcomes revealed that, overall, the samples were below the average concentration typically found in soil. However, there were notable exceptions for five minerals, Cd, Mo, As, Se, and Hg, which exhibited concentrations exceeding the average. This suggests potential contamination or elevated ratios of these heavy metals, which could have repercussions for both plant growth and overall environmental quality.

The pH levels were 5.1–6.4 inside these soils, with an average pH of 5.8. These pH values indicate that the soil samples were slightly acidic. The conductivity values ranged from 2.14 to 7.89 µS/m. The highest TDS was 1,710 mg/L, in the Qassim soil, while lower values were observed in the Medina region. Furthermore, this study identified a significant concentration of chloride ions (Cl) in the soil, with the highest concentration, 283.9 mg/L, found in the Qassim region. This indicated the presence of chloride ions in the soil. The elevated concentrations of specific heavy metals underscore the continuous effective management of soil quality to ensure the successful cultivation of crops and mitigate potential environmental risks.

Acknowledgments

Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R186), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

  1. Funding information: Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R186), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

  2. Author contributions: The author confirms the sole responsibility for the conception of the study, presented results, and manuscript preparation.

  3. Conflict of interest: Authors state no conflict of interest.

  4. Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

  5. Ethical approval: The conducted research is not related to either human or animal use.

References

[1] Bush T, Bartington S, Pope FD, Singh A, Thomas GN, Stacey B, et al. The impact of COVID-19 public health restrictions on particulate matter pollution measured by a validated low-cost sensor network in Oxford, UK. Build Environ. 2023;237:110330. 10.1016/J.BUILDENV.2023.110330.Suche in Google Scholar PubMed PubMed Central

[2] Dargahi A, Rahimpouran S, Rad HM, Eghlimi E, Zandian H, Hosseinkhani A, et al. Investigation of the link between the type and concentrations of heavy metals and other elements in blood and urinary stones and their association to the environmental factors and dietary pattern. J Trace Elem Med Biol. 2023;80:127270. 10.1016/J.JTEMB.2023.127270.Suche in Google Scholar PubMed

[3] Rai PK, Song H, Kim KH. Nanoparticles modulate heavy-metal and arsenic stress in food crops: hormesis for food security/safety and public health. Sci Total Environ. 2023;902:166064. 10.1016/J.SCITOTENV.2023.166064.Suche in Google Scholar PubMed

[4] Mitra S, Chakraborty AJ, Tareq AM, Emran T, Bin, Nainu F, et al. Impact of heavy metals on the environment and human health: novel therapeutic insights to counter the toxicity. J King Saud Univ - Sci. 2022;34:101865. 10.1016/J.JKSUS.2022.101865.Suche in Google Scholar

[5] Jaishankar M, Tseten T, Anbalagan N, Mathew BB, Beeregowda KN. Toxicity, Mechanism and health effects of some heavy metals. Interdiscip Toxicol. 2014;7:60. 10.2478/INTOX-2014-0009.Suche in Google Scholar PubMed PubMed Central

[6] Brindhadevi K, Barceló D, Lan Chi NT, Rene ER. E-Waste management, treatment options and the impact of heavy metal extraction from e-waste on human health: scenario in Vietnam and Other Countries. Environ Res. 2023;217:114926. 10.1016/J.ENVRES.2022.114926.Suche in Google Scholar

[7] Uluturhan E, Kontas A, Can E. Sediment concentrations of heavy metals in the Homa Lagoon (Eastern Aegean Sea): assessment of contamination and ecological risks. Mar Poll Bull. 2011;62(9):1989–97. 10.1016/j.marpolbul.2011.06.019.Suche in Google Scholar PubMed

[8] Wang H, Zhao Q, Zeng D, Hu Y, Yu Z. Remediation of a magnesium-contaminated soil by chemical amendments and leaching. LDegrad Dev. 2015;26(6):613–9. 10.1002/ldr.2362.Suche in Google Scholar

[9] Kargar H, Kia R, Adabi Ardakani A, Tahir M. 2-[(Z)-(3-{[(Z)-2-Hydroxy-3,5-diiodo-benzylidene] amino} propylimino) methyl]-4,6-diiodophenol. Acta Crystallogr Sect E Structure Rep Online. 2012;68:2500. 10.1107/S160053681203214X.Suche in Google Scholar PubMed PubMed Central

[10] Morton-Bermea O, Alvarez H, Gaso I, Segovia N. Heavy metal concentrations in surface soils from Mexico City. Bull Environ Contam Toxicol. 2002;68(3):383–8. 10.1007/s001280265.Suche in Google Scholar PubMed

[11] Levia GMA, Morales S. Environmental assessment of mercury pollution in urban tailings from gold mining. Ecotoxicol Environ Saf. 2013;90:167–73. 10.1016/j.ecoenv.2012.12.026.Suche in Google Scholar PubMed

[12] Adeyi A, Torto N. Profiling heavy metal distribution and contamination in soil of old power generation station in Lagos, Nigeria. Am J Sci Technol. 2014;1(1):1–10.Suche in Google Scholar

[13] Nazzal Y, Rosen MA, Al-Rawabdeh AM. Assessment of metal pollution in urban road dusts from selected highways of the Greater Toronto Area in Canada. Environ Monit Assess. 2013;185:1847–58. 10.1007/s10661-012-2672-3.Suche in Google Scholar PubMed

[14] Ayyasamya PM, Rajakumar S, Sathishkumarc M, Swaminathanc K, Shanthid K, Lakshmanaperumalsamy, P, et al. Nitrate removal from synthetic medium and groundwater with aquatic macrophytes. Desalination. 2009;242(1–3):286–96. 10.1016/j.desal.2008.05.008.Suche in Google Scholar

[15] Man-Zhi T, Fang-Ming X, Jie C, Xue-Lei Z, Jing-Zhong C. Spatial prediction of heavy metal pollution for soils in peri-urban Beijing, China based on fuzzy set theory. Pedosphere. 2006;16(5):545–54. 10.1016/S1002-0160(06)60087-8.Suche in Google Scholar

[16] Adamo P, Iavazzo P, Albanese S, Agrelli D, De Vivo B, Lima A. Bioavailability and soil-to-plant transfer factors as indicators of potentially toxic element contamination in agricultural soils. Sci Total Environ. 2014;500–501:11–22. 10.1016/j.scitotenv.2014.08.085.Suche in Google Scholar PubMed

[17] Palma P, Ledo L, Alvarenga P. Assessment of trace element pollution and its environmental risk to freshwater sediments influenced by anthropogenic contributions: the case study of Alqueva reservoir (Guadiana Basin. Catena. 2015;128:174–84. 10.1016/j.catena.2015.02.002.Suche in Google Scholar

[18] Chibuike GU, Obiora SC. Heavy mental polluted soils: effect on plants and bioremediation methods. Appl Environ Soil Sci. 2014;2014:1–12. 10.1155/2014/752708.Suche in Google Scholar

[19] WHO (World Health Organization). Guidelines for drinking-water quality, First Addendum. Recommendations. Vol. I, 3rd edn. Geneva: World Health Organization; 2017.Suche in Google Scholar

[20] Bădescu IS, Bulgariu D, Bulgariu L. Alternative utilization of algal biomass (Ulva Sp.) loaded with Zn(II) ions for improving of soil quality. J Appl Phycol. 2017;29:1069–79. 10.1007/S10811-016-0997-Y/METRICS.Suche in Google Scholar

[21] Mankoula AF, Tawfik W, Gagnon JE, Fryer BJ, El-Mekawy F, Shaheen ME. Assessment of heavy metals content in the agricultural soils of Kafr El-Zayat Egypt using laser ablation inductively coupled plasma mass spectrometry and inductively coupled plasma optical emission spectroscopy. Egypt J Chem. 2021;64:1167–77. 10.21608/EJCHEM.2021.55867.3185.Suche in Google Scholar

[22] Shaheen ME, Tawfik W, Mankola AF, Gagnon JE, Fryer BJ, El-Mekawy FM. Assessment of contamination levels of heavy metals in the agricultural soils Using ICP-OES. Soil Sediment Contam. 2023;32:665–91. 10.1080/15320383.2022.2123448.Suche in Google Scholar

[23] Shaheen ME, Tawfik W, Mankoula AF, Gagnon JE, Fryer BJ, El-Mekawy F. Determination of heavy metal content and pollution indices in the agricultural soils using laser ablation inductively coupled plasma mass spectrometry. Environ Sci Pollut Res Int. 2021;28:36039–52. 10.1007/S11356-021-13215-Y.Suche in Google Scholar PubMed

[24] Tkalec M, Štefanić PP, Cvjetko P, Šikić S, Pavlica M, Balen B. The Effects of Cadmium-Zinc interactions on biochemical responses in tobacco seedlings and adult plants. PLoS ONE. 2014;9:e87582. 10.1371/JOURNAL.PONE.0087582.Suche in Google Scholar

[25] Cevik F, Göksu MZ, Derici OB, Findik O. An assessment of metal pollution in surface sediments of Seyhandam by using enrichment factor, geoaccumulation index and statistical analyses. Environ Monit Assess. 2009;152(1–4):309–17. 10.1007/s10661-008-0317-3.Suche in Google Scholar PubMed

[26] Bhuiyan MAH, Suruvi NI, Dampare SB, Islam MA, Quraishi SB, Ganyaglo S, et al. Investigation of the possible sources of heavy metal contamination in lagoon and canal water in the tannery industrial area in Dhaka, Bangladesh. Environ Monit Assess. 2011;175:633–49. 10.1007/s10661-010-1557-6.Suche in Google Scholar PubMed

[27] Esen E, Kucuksezgin F, Uluturhan E. Assessment of trace metal pollution in surface sediments of Nemrut Bay, Aegean Sea. Environ Monit Assess. 2010;160:257–66. 10.1007/s10661-008-0692-9.Suche in Google Scholar PubMed

[28] Ergin M, Saydam C, Basturk O, Erdem E, Yoruk R. Heavy metal concentrations in surface sediments from the two coastal inlets (Golden Horn Estuary and Izmit Bay) of the northeastern Sea of Marmara. Chem Geol. 1991;91(3):269–85. 10.1016/0009-2541(91)90004-B.Suche in Google Scholar

[29] Wei S, Zhou Q, Wang X. Identification of weed plants excluding the uptake of heavy metals. Environ Int. 2005;31(6):829–34. 10.1016/j.envint.2005.05.045.Suche in Google Scholar PubMed

[30] Smith SR, Giller KE. Effective Rhizobium leguminosarumbiovar Trifolii present in five soils contaminated with heavy metals from long-term applications of sewage sludge or metal mine spoil. Soil Biol Biochem. 1992;24(8):781–8. 10.1016/0038-0717(92)90253-T.Suche in Google Scholar

[31] Hussain G, Alquwaizany A, Al-Zarah A. Guidelines for irrigation water quality and water management in the Kingdom of Saudi Arabia: an overview. J Appl Sci. 2010;10(2):79–96. 10.3923/jas.2010.79.96.Suche in Google Scholar

[32] Chien SH, Prochnow LI, Tu S, Snyder CS. Agronomic and environmental aspects of phosphate fertilizers varying in source, and solubility: an update review. Nutr Cycl Agroecosyst. 2011;89(2):229–55. 10.1007/s10705-010-9390-4.Suche in Google Scholar

[33] Lindsay W. Chemical equilibria in soils. A Wiley-Interscience Publication. 1st edn. New York: John Wiley and Sons; 1979.Suche in Google Scholar

[34] Li X, Feng L. Multivariate and geostatistical analyzes of metals in urban soil of Weinan industrial areas, Northwest of China. Atmos Environ. 2012;47:58–65. 10.1016/j.atmosenv.2011.11.041.Suche in Google Scholar

[35] Cukrowska VPE, Chimuka L. Comparison of antioxidant activity of Moringa Oleifera and selected vegetables in South African: research article. J Sci. 2013;109:1–5. https://hdl.handle.net/10520/EJC133141.Suche in Google Scholar

[36] Kebir T, Bouhadjera K. Heavy metal concentrations in agricultural soils and accumulation in plants growing near of dumpsite of Ghazaouet (west of Algeria). Int J Curr Res. 2011;2:42–9.Suche in Google Scholar

[37] Agency for Toxic Substances and Disease Registry (ATSDR. Toxicological profile for Cadmium. Atlanta, GA: U.S. Department of Health and Human Services, Public Health Service; 2012.Suche in Google Scholar

[38] US Environmental Protection Agency (US EPA). Supplementary Guidance for Conducting Health Risk Assessment of Chemical Mixtures. EPA/630/R-00/002; Aug. 2000. http:/lcfpub.epa.gov/ncea/cfm/recordisplay.cfm? deid320533.Suche in Google Scholar

[39] Duda-Chodak A, Blaszczyk U. The impact of nickel on human health. J Elementology. 2008;13(4):685–96.Suche in Google Scholar

[40] Hu Y, Liu X, Bai J, Shih K, Zeng E, Cheng H. Assessing heavy metal pollution in the surface soils of a region that had undergone three decades of intense industrialization and urbanization. Environ Sci Pollut Res. 2013;20:6150–9. 10.1007/s11356-013-1668-z.Suche in Google Scholar PubMed

[41] Micó C, Recatalá L, Peris M, Sánchez J. Assessing heavy metal sources in agricultural soils of an European Mediterranean area by multivariate analysis. Chemosphere. 2006;65(5):863–72. 10.1016/j.chemosphere.2006.03.016.Suche in Google Scholar PubMed

[42] Jiang QQ, Singh BR. Effect of different forms and sources of arsenic on crop yield and arsenic concentration. Water Air Soil Pollut. 1994;74(3–4):321–43.10.1007/BF00479798Suche in Google Scholar

[43] Makridis C, Svamas C, Rigas N, Gougoulias N, Roka L, Leontopoulos S. Transfer of heavy metal contaminants from animal feed to animal products. J Agric Sci Technol. 2012;2:149–54, https://www.researchgate.net/publication/236018159.Suche in Google Scholar

[44] Paunov M, Koleva L, Vassilev A, Vangronsveld J, Goltsev V. Effects of different metals on photosynthesis: cadmium and zinc affect chlorophyll fluorescence in durum wheat. Int J Mol Sci. 2018;19:787. 10.3390/ijms19030787.Suche in Google Scholar PubMed PubMed Central

[45] Wang K, Chang B, Chen J, Fu H, Lin Y, Lei Y. Effect of molybdenum on the microstructures and properties of stainless steel coatings by laser cladding. Appl Sci. 2017;7:1065. 10.3390/app7101065.Suche in Google Scholar

[46] Mehdi Y, Hornick J-L, Istasse L, Dufrasne I. Selenium in the environment, metabolism and involvement in body functions. Molecules. 2013;18:3292–311.7. 10.3390/molecules18033292.Suche in Google Scholar PubMed PubMed Central

[47] Alim MHH, Al-Qahtani KM. Assessment of some heavy metals in vegetables, cereals and fruits in Saudi Arabian markets. Egypt J Aquat Res. 2012;38(1):31–7. 10.1016/j.ejar.2012.08.002.Suche in Google Scholar

[48] Pakade V, Cukrowska E, Chimuka L. Comparison of antioxidant activity of M. Oleifera and selected vegetables in South Africa. S Afr J Sci. 2013;109(3):1–5. https://hdl.handle.net/10520/EJC133141.10.1590/sajs.2013/1154Suche in Google Scholar

[49] Highab S, Magaji R, Muhammad B. Effect of lead poisoning and antidepressant drug on the cerebral cortex of the wister rats. Acta Sci Pharm Sci. 2018;2(5):16–21.Suche in Google Scholar

[50] Turekian KK, Wedepohl KH. Distribution of the elements in some major units of the Earth’s crust. Geol Soc Am. 1961;72:175–92. 10.1130/0016-7606(1961)72[175:DOTEIS]2.0.CO;2.Suche in Google Scholar

Received: 2023-11-12
Revised: 2024-03-23
Accepted: 2024-05-14
Published Online: 2024-06-28

© 2024 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Artikel in diesem Heft

  1. Regular Articles
  2. Porous silicon nanostructures: Synthesis, characterization, and their antifungal activity
  3. Biochar from de-oiled Chlorella vulgaris and its adsorption on antibiotics
  4. Phytochemicals profiling, in vitro and in vivo antidiabetic activity, and in silico studies on Ajuga iva (L.) Schreb.: A comprehensive approach
  5. Synthesis, characterization, in silico and in vitro studies of novel glycoconjugates as potential antibacterial, antifungal, and antileishmanial agents
  6. Sonochemical synthesis of gold nanoparticles mediated by potato starch: Its performance in the treatment of esophageal cancer
  7. Computational study of ADME-Tox prediction of selected phytochemicals from Punica granatum peels
  8. Phytochemical analysis, in vitro antioxidant and antifungal activities of extracts and essential oil derived from Artemisia herba-alba Asso
  9. Two triazole-based coordination polymers: Synthesis and crystal structure characterization
  10. Phytochemical and physicochemical studies of different apple varieties grown in Morocco
  11. Synthesis of multi-template molecularly imprinted polymers (MT-MIPs) for isolating ethyl para-methoxycinnamate and ethyl cinnamate from Kaempferia galanga L., extract with methacrylic acid as functional monomer
  12. Nutraceutical potential of Mesembryanthemum forsskaolii Hochst. ex Bioss.: Insights into its nutritional composition, phytochemical contents, and antioxidant activity
  13. Evaluation of influence of Butea monosperma floral extract on inflammatory biomarkers
  14. Cannabis sativa L. essential oil: Chemical composition, anti-oxidant, anti-microbial properties, and acute toxicity: In vitro, in vivo, and in silico study
  15. The effect of gamma radiation on 5-hydroxymethylfurfural conversion in water and dimethyl sulfoxide
  16. Hollow mushroom nanomaterials for potentiometric sensing of Pb2+ ions in water via the intercalation of iodide ions into the polypyrrole matrix
  17. Determination of essential oil and chemical composition of St. John’s Wort
  18. Computational design and in vitro assay of lantadene-based novel inhibitors of NS3 protease of dengue virus
  19. Anti-parasitic activity and computational studies on a novel labdane diterpene from the roots of Vachellia nilotica
  20. Microbial dynamics and dehydrogenase activity in tomato (Lycopersicon esculentum Mill.) rhizospheres: Impacts on growth and soil health across different soil types
  21. Correlation between in vitro anti-urease activity and in silico molecular modeling approach of novel imidazopyridine–oxadiazole hybrids derivatives
  22. Spatial mapping of indoor air quality in a light metro system using the geographic information system method
  23. Iron indices and hemogram in renal anemia and the improvement with Tribulus terrestris green-formulated silver nanoparticles applied on rat model
  24. Integrated track of nano-informatics coupling with the enrichment concept in developing a novel nanoparticle targeting ERK protein in Naegleria fowleri
  25. Cytotoxic and phytochemical screening of Solanum lycopersicum–Daucus carota hydro-ethanolic extract and in silico evaluation of its lycopene content as anticancer agent
  26. Protective activities of silver nanoparticles containing Panax japonicus on apoptotic, inflammatory, and oxidative alterations in isoproterenol-induced cardiotoxicity
  27. pH-based colorimetric detection of monofunctional aldehydes in liquid and gas phases
  28. Investigating the effect of resveratrol on apoptosis and regulation of gene expression of Caco-2 cells: Unravelling potential implications for colorectal cancer treatment
  29. Metformin inhibits knee osteoarthritis induced by type 2 diabetes mellitus in rats: S100A8/9 and S100A12 as players and therapeutic targets
  30. Effect of silver nanoparticles formulated by Silybum marianum on menopausal urinary incontinence in ovariectomized rats
  31. Synthesis of new analogs of N-substituted(benzoylamino)-1,2,3,6-tetrahydropyridines
  32. Response of yield and quality of Japonica rice to different gradients of moisture deficit at grain-filling stage in cold regions
  33. Preparation of an inclusion complex of nickel-based β-cyclodextrin: Characterization and accelerating the osteoarthritis articular cartilage repair
  34. Empagliflozin-loaded nanomicelles responsive to reactive oxygen species for renal ischemia/reperfusion injury protection
  35. Preparation and pharmacodynamic evaluation of sodium aescinate solid lipid nanoparticles
  36. Assessment of potentially toxic elements and health risks of agricultural soil in Southwest Riyadh, Saudi Arabia
  37. Theoretical investigation of hydrogen-rich fuel production through ammonia decomposition
  38. Biosynthesis and screening of cobalt nanoparticles using citrus species for antimicrobial activity
  39. Investigating the interplay of genetic variations, MCP-1 polymorphism, and docking with phytochemical inhibitors for combatting dengue virus pathogenicity through in silico analysis
  40. Ultrasound induced biosynthesis of silver nanoparticles embedded into chitosan polymers: Investigation of its anti-cutaneous squamous cell carcinoma effects
  41. Copper oxide nanoparticles-mediated Heliotropium bacciferum leaf extract: Antifungal activity and molecular docking assays against strawberry pathogens
  42. Sprouted wheat flour for improving physical, chemical, rheological, microbial load, and quality properties of fino bread
  43. Comparative toxicity assessment of fisetin-aided artificial intelligence-assisted drug design targeting epibulbar dermoid through phytochemicals
  44. Acute toxicity and anti-inflammatory activity of bis-thiourea derivatives
  45. Anti-diabetic activity-guided isolation of α-amylase and α-glucosidase inhibitory terpenes from Capsella bursa-pastoris Linn.
  46. GC–MS analysis of Lactobacillus plantarum YW11 metabolites and its computational analysis on familial pulmonary fibrosis hub genes
  47. Green formulation of copper nanoparticles by Pistacia khinjuk leaf aqueous extract: Introducing a novel chemotherapeutic drug for the treatment of prostate cancer
  48. Improved photocatalytic properties of WO3 nanoparticles for Malachite green dye degradation under visible light irradiation: An effect of La doping
  49. One-pot synthesis of a network of Mn2O3–MnO2–poly(m-methylaniline) composite nanorods on a polypyrrole film presents a promising and efficient optoelectronic and solar cell device
  50. Groundwater quality and health risk assessment of nitrate and fluoride in Al Qaseem area, Saudi Arabia
  51. A comparative study of the antifungal efficacy and phytochemical composition of date palm leaflet extracts
  52. Processing of alcohol pomelo beverage (Citrus grandis (L.) Osbeck) using saccharomyces yeast: Optimization, physicochemical quality, and sensory characteristics
  53. Specialized compounds of four Cameroonian spices: Isolation, characterization, and in silico evaluation as prospective SARS-CoV-2 inhibitors
  54. Identification of a novel drug target in Porphyromonas gingivalis by a computational genome analysis approach
  55. Physico-chemical properties and durability of a fly-ash-based geopolymer
  56. FMS-like tyrosine kinase 3 inhibitory potentials of some phytochemicals from anti-leukemic plants using computational chemical methodologies
  57. Wild Thymus zygis L. ssp. gracilis and Eucalyptus camaldulensis Dehnh.: Chemical composition, antioxidant and antibacterial activities of essential oils
  58. 3D-QSAR, molecular docking, ADMET, simulation dynamic, and retrosynthesis studies on new styrylquinolines derivatives against breast cancer
  59. Deciphering the influenza neuraminidase inhibitory potential of naturally occurring biflavonoids: An in silico approach
  60. Determination of heavy elements in agricultural regions, Saudi Arabia
  61. Synthesis and characterization of antioxidant-enriched Moringa oil-based edible oleogel
  62. Ameliorative effects of thistle and thyme honeys on cyclophosphamide-induced toxicity in mice
  63. Study of phytochemical compound and antipyretic activity of Chenopodium ambrosioides L. fractions
  64. Investigating the adsorption mechanism of zinc chloride-modified porous carbon for sulfadiazine removal from water
  65. Performance repair of building materials using alumina and silica composite nanomaterials with electrodynamic properties
  66. Effects of nanoparticles on the activity and resistance genes of anaerobic digestion enzymes in livestock and poultry manure containing the antibiotic tetracycline
  67. Effect of copper nanoparticles green-synthesized using Ocimum basilicum against Pseudomonas aeruginosa in mice lung infection model
  68. Cardioprotective effects of nanoparticles green formulated by Spinacia oleracea extract on isoproterenol-induced myocardial infarction in mice by the determination of PPAR-γ/NF-κB pathway
  69. Anti-OTC antibody-conjugated fluorescent magnetic/silica and fluorescent hybrid silica nanoparticles for oxytetracycline detection
  70. Curcumin conjugated zinc nanoparticles for the treatment of myocardial infarction
  71. Identification and in silico screening of natural phloroglucinols as potential PI3Kα inhibitors: A computational approach for drug discovery
  72. Exploring the phytochemical profile and antioxidant evaluation: Molecular docking and ADMET analysis of main compounds from three Solanum species in Saudi Arabia
  73. Unveiling the molecular composition and biological properties of essential oil derived from the leaves of wild Mentha aquatica L.: A comprehensive in vitro and in silico exploration
  74. Analysis of bioactive compounds present in Boerhavia elegans seeds by GC-MS
  75. Homology modeling and molecular docking study of corticotrophin-releasing hormone: An approach to treat stress-related diseases
  76. LncRNA MIR17HG alleviates heart failure via targeting MIR17HG/miR-153-3p/SIRT1 axis in in vitro model
  77. Development and validation of a stability indicating UPLC-DAD method coupled with MS-TQD for ramipril and thymoquinone in bioactive SNEDDS with in silico toxicity analysis of ramipril degradation products
  78. Biosynthesis of Ag/Cu nanocomposite mediated by Curcuma longa: Evaluation of its antibacterial properties against oral pathogens
  79. Development of AMBER-compliant transferable force field parameters for polytetrafluoroethylene
  80. Treatment of gestational diabetes by Acroptilon repens leaf aqueous extract green-formulated iron nanoparticles in rats
  81. Development and characterization of new ecological adsorbents based on cardoon wastes: Application to brilliant green adsorption
  82. A fast, sensitive, greener, and stability-indicating HPLC method for the standardization and quantitative determination of chlorhexidine acetate in commercial products
  83. Assessment of Se, As, Cd, Cr, Hg, and Pb content status in Ankang tea plantations of China
  84. Effect of transition metal chloride (ZnCl2) on low-temperature pyrolysis of high ash bituminous coal
  85. Evaluating polyphenol and ascorbic acid contents, tannin removal ability, and physical properties during hydrolysis and convective hot-air drying of cashew apple powder
  86. Development and characterization of functional low-fat frozen dairy dessert enhanced with dried lemongrass powder
  87. Scrutinizing the effect of additive and synergistic antibiotics against carbapenem-resistant Pseudomonas aeruginosa
  88. Preparation, characterization, and determination of the therapeutic effects of copper nanoparticles green-formulated by Pistacia atlantica in diabetes-induced cardiac dysfunction in rat
  89. Antioxidant and antidiabetic potentials of methoxy-substituted Schiff bases using in vitro, in vivo, and molecular simulation approaches
  90. Anti-melanoma cancer activity and chemical profile of the essential oil of Seseli yunnanense Franch
  91. Molecular docking analysis of subtilisin-like alkaline serine protease (SLASP) and laccase with natural biopolymers
  92. Overcoming methicillin resistance by methicillin-resistant Staphylococcus aureus: Computational evaluation of napthyridine and oxadiazoles compounds for potential dual inhibition of PBP-2a and FemA proteins
  93. Exploring novel antitubercular agents: Innovative design of 2,3-diaryl-quinoxalines targeting DprE1 for effective tuberculosis treatment
  94. Drimia maritima flowers as a source of biologically potent components: Optimization of bioactive compound extractions, isolation, UPLC–ESI–MS/MS, and pharmacological properties
  95. Estimating molecular properties, drug-likeness, cardiotoxic risk, liability profile, and molecular docking study to characterize binding process of key phyto-compounds against serotonin 5-HT2A receptor
  96. Fabrication of β-cyclodextrin-based microgels for enhancing solubility of Terbinafine: An in-vitro and in-vivo toxicological evaluation
  97. Phyto-mediated synthesis of ZnO nanoparticles and their sunlight-driven photocatalytic degradation of cationic and anionic dyes
  98. Monosodium glutamate induces hypothalamic–pituitary–adrenal axis hyperactivation, glucocorticoid receptors down-regulation, and systemic inflammatory response in young male rats: Impact on miR-155 and miR-218
  99. Quality control analyses of selected honey samples from Serbia based on their mineral and flavonoid profiles, and the invertase activity
  100. Eco-friendly synthesis of silver nanoparticles using Phyllanthus niruri leaf extract: Assessment of antimicrobial activity, effectiveness on tropical neglected mosquito vector control, and biocompatibility using a fibroblast cell line model
  101. Green synthesis of silver nanoparticles containing Cichorium intybus to treat the sepsis-induced DNA damage in the liver of Wistar albino rats
  102. Quality changes of durian pulp (Durio ziberhinus Murr.) in cold storage
  103. Study on recrystallization process of nitroguanidine by directly adding cold water to control temperature
  104. Determination of heavy metals and health risk assessment in drinking water in Bukayriyah City, Saudi Arabia
  105. Larvicidal properties of essential oils of three Artemisia species against the chemically insecticide-resistant Nile fever vector Culex pipiens (L.) (Diptera: Culicidae): In vitro and in silico studies
  106. Design, synthesis, characterization, and theoretical calculations, along with in silico and in vitro antimicrobial proprieties of new isoxazole-amide conjugates
  107. The impact of drying and extraction methods on total lipid, fatty acid profile, and cytotoxicity of Tenebrio molitor larvae
  108. A zinc oxide–tin oxide–nerolidol hybrid nanomaterial: Efficacy against esophageal squamous cell carcinoma
  109. Research on technological process for production of muskmelon juice (Cucumis melo L.)
  110. Physicochemical components, antioxidant activity, and predictive models for quality of soursop tea (Annona muricata L.) during heat pump drying
  111. Characterization and application of Fe1−xCoxFe2O4 nanoparticles in Direct Red 79 adsorption
  112. Torilis arvensis ethanolic extract: Phytochemical analysis, antifungal efficacy, and cytotoxicity properties
  113. Magnetite–poly-1H pyrrole dendritic nanocomposite seeded on poly-1H pyrrole: A promising photocathode for green hydrogen generation from sanitation water without using external sacrificing agent
  114. HPLC and GC–MS analyses of phytochemical compounds in Haloxylon salicornicum extract: Antibacterial and antifungal activity assessment of phytopathogens
  115. Efficient and stable to coking catalysts of ethanol steam reforming comprised of Ni + Ru loaded on MgAl2O4 + LnFe0.7Ni0.3O3 (Ln = La, Pr) nanocomposites prepared via cost-effective procedure with Pluronic P123 copolymer
  116. Nitrogen and boron co-doped carbon dots probe for selectively detecting Hg2+ in water samples and the detection mechanism
  117. Heavy metals in road dust from typical old industrial areas of Wuhan: Seasonal distribution and bioaccessibility-based health risk assessment
  118. Phytochemical profiling and bioactivity evaluation of CBD- and THC-enriched Cannabis sativa extracts: In vitro and in silico investigation of antioxidant and anti-inflammatory effects
  119. Investigating dye adsorption: The role of surface-modified montmorillonite nanoclay in kinetics, isotherms, and thermodynamics
  120. Antimicrobial activity, induction of ROS generation in HepG2 liver cancer cells, and chemical composition of Pterospermum heterophyllum
  121. Study on the performance of nanoparticle-modified PVDF membrane in delaying membrane aging
  122. Impact of cholesterol in encapsulated vitamin E acetate within cocoliposomes
  123. Review Articles
  124. Structural aspects of Pt(η3-X1N1X2)(PL) (X1,2 = O, C, or Se) and Pt(η3-N1N2X1)(PL) (X1 = C, S, or Se) derivatives
  125. Biosurfactants in biocorrosion and corrosion mitigation of metals: An overview
  126. Stimulus-responsive MOF–hydrogel composites: Classification, preparation, characterization, and their advancement in medical treatments
  127. Electrochemical dissolution of titanium under alternating current polarization to obtain its dioxide
  128. Special Issue on Recent Trends in Green Chemistry
  129. Phytochemical screening and antioxidant activity of Vitex agnus-castus L.
  130. Phytochemical study, antioxidant activity, and dermoprotective activity of Chenopodium ambrosioides (L.)
  131. Exploitation of mangliculous marine fungi, Amarenographium solium, for the green synthesis of silver nanoparticles and their activity against multiple drug-resistant bacteria
  132. Study of the phytotoxicity of margines on Pistia stratiotes L.
  133. Special Issue on Advanced Nanomaterials for Energy, Environmental and Biological Applications - Part III
  134. Impact of biogenic zinc oxide nanoparticles on growth, development, and antioxidant system of high protein content crop (Lablab purpureus L.) sweet
  135. Green synthesis, characterization, and application of iron and molybdenum nanoparticles and their composites for enhancing the growth of Solanum lycopersicum
  136. Green synthesis of silver nanoparticles from Olea europaea L. extracted polysaccharides, characterization, and its assessment as an antimicrobial agent against multiple pathogenic microbes
  137. Photocatalytic treatment of organic dyes using metal oxides and nanocomposites: A quantitative study
  138. Antifungal, antioxidant, and photocatalytic activities of greenly synthesized iron oxide nanoparticles
  139. Special Issue on Phytochemical and Pharmacological Scrutinization of Medicinal Plants
  140. Hepatoprotective effects of safranal on acetaminophen-induced hepatotoxicity in rats
  141. Chemical composition and biological properties of Thymus capitatus plants from Algerian high plains: A comparative and analytical study
  142. Chemical composition and bioactivities of the methanol root extracts of Saussurea costus
  143. In vivo protective effects of vitamin C against cyto-genotoxicity induced by Dysphania ambrosioides aqueous extract
  144. Insights about the deleterious impact of a carbamate pesticide on some metabolic immune and antioxidant functions and a focus on the protective ability of a Saharan shrub and its anti-edematous property
  145. A comprehensive review uncovering the anticancerous potential of genkwanin (plant-derived compound) in several human carcinomas
  146. A study to investigate the anticancer potential of carvacrol via targeting Notch signaling in breast cancer
  147. Assessment of anti-diabetic properties of Ziziphus oenopolia (L.) wild edible fruit extract: In vitro and in silico investigations through molecular docking analysis
  148. Optimization of polyphenol extraction, phenolic profile by LC-ESI-MS/MS, antioxidant, anti-enzymatic, and cytotoxic activities of Physalis acutifolia
  149. Phytochemical screening, antioxidant properties, and photo-protective activities of Salvia balansae de Noé ex Coss
  150. Antihyperglycemic, antiglycation, anti-hypercholesteremic, and toxicity evaluation with gas chromatography mass spectrometry profiling for Aloe armatissima leaves
  151. Phyto-fabrication and characterization of gold nanoparticles by using Timur (Zanthoxylum armatum DC) and their effect on wound healing
  152. Does Erodium trifolium (Cav.) Guitt exhibit medicinal properties? Response elements from phytochemical profiling, enzyme-inhibiting, and antioxidant and antimicrobial activities
  153. Integrative in silico evaluation of the antiviral potential of terpenoids and its metal complexes derived from Homalomena aromatica based on main protease of SARS-CoV-2
  154. 6-Methoxyflavone improves anxiety, depression, and memory by increasing monoamines in mice brain: HPLC analysis and in silico studies
  155. Simultaneous extraction and quantification of hydrophilic and lipophilic antioxidants in Solanum lycopersicum L. varieties marketed in Saudi Arabia
  156. Biological evaluation of CH3OH and C2H5OH of Berberis vulgaris for in vivo antileishmanial potential against Leishmania tropica in murine models
Heruntergeladen am 6.12.2025 von https://www.degruyterbrill.com/document/doi/10.1515/chem-2024-0043/html
Button zum nach oben scrollen