Home Polyethyleneimine-impregnated activated carbon nanofiber composited graphene-derived rice husk char for efficient post-combustion CO2 capture
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Polyethyleneimine-impregnated activated carbon nanofiber composited graphene-derived rice husk char for efficient post-combustion CO2 capture

  • Faten Ermala Che Othman , Norhaniza Yusof , Michael Petrů EMAIL logo , Nik Abdul Hadi Md Nordin , Muhammad Faris Hamid , Ahmad Fauzi Ismail , Ahmad Ilyas Rushdan and Shukur Abu Hassan
Published/Copyright: February 21, 2022
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Abstract

This study presents the fabrication of polyethyleneimine (PEI)–graphene-derived rice husk char (GRHC)/activated carbon nanofiber (ACNF) composites via electrospinning and physical activation processes and its adsorption performance toward CO2. This study was performed by varying several parameters, including the loading of graphene, impregnated and nonimpregnated with amine, and tested on different adsorption pressures and temperatures. The resultant ACNF composite with 1% of GRHC shows smaller average fiber diameter (238 ± 79.97 nm) with specific surface area (S BET) of 597 m2/g, and V micro of 0.2606 cm3/g, superior to pristine ACNFs (202 m2/g and 0.0976 cm3/g, respectively). ACNF/GRHC0.01 exhibited CO2 uptakes of 142 cm3/g at atmospheric pressure and 25°C, significantly higher than that of pristine ACNF’s 69 cm3/g. The GRHC/ACNF0.01 was then impregnated with PEI and further achieved impressive increment in CO2 uptake to 191 cm3/g. Notably, the adsorption performance of CO2 is directly proportional to the pressure increment; however, it is inversely proportional with the increased temperature. Interestingly, both amine-impregnated and nonimpregnated GRHC/ACNFs fitted the pseudo first-order kinetic model (physisorption) at 1 bar; however, best fitted the pseudo second-order kinetic model (chemisorption) at 15 bar. Both GRHC/ACNF and PEI-GRHC/ACNF samples obeyed the Langmuir adsorption isotherm model, which indicates monolayer adsorption. At the end of this study, PEI-GRHC/ACNFs with excellent CO2 adsorption performance were successfully fabricated.

1 Introduction

Current dependency on fossil fuel accounts for about 85% of the total global energy production, which contributes to about 40% of the global CO2 emission. The global monitoring laboratory at Mauna Lao observed an estimated CO2 weekly average atmospheric concentration of 413.84 ppm during November 2020, 0.78% higher than last year’s value and 6.25% higher than the weekly value from 10 years ago [1]. The increased level of atmospheric CO2 is worrying as it is the major component of the greenhouse gases (GHG) that are a major concern regarding climate change. It is estimated that the global economic damage cause by climate change (including costs associated with climate change-induced market and nonmarket impacts, effects of sea level rise, and consequences associated with large-scale discontinuities) are projected to be $54 and $69 trillion, respectively, relative to 1961–1990 [2].

Therefore, considerable effort has been made by the international community toward reducing the use of these hazardous materials as well as to combat global warming. The most recent realization of the effort was the 21st Conference of Parties (COP21) that was held in Paris, France, in 2015 to limit global temperature rise well below 2℃ by the end of this century. In light of the current alarming rate of anthropogenic CO2 emission, carbon capture and storage (CCS) technologies receive overwhelming attention to combat this issue. These technologies currently serve as reliable mitigation approaches for climate change as well as the key to controlling the global CO2 emission by controlling the emission of gases from their point source. Through sustainable development along with CCS technology, it is projected that the level of anthropogenic CO2 emission would be reduced up to 22% of total CO2 emissions in 2035 [3]. Currently, there are several techniques for CO2 capture that have been utilized including adsorption, absorption, membrane separation, and cryogenic distillation. Interestingly, adsorption showed great potential due to its economic and easy handling during adsorbent preparation and effective energy consumption for regeneration [4].

A wide variety of adsorbents have been studied over the past decades, such as zeolites [5], silica [6], carbon-based materials [7], and metal organic frameworks (MOFs) [8]. Interestingly, carbon-based adsorbents have aroused intense interest among researchers owing to their tunable pore structure and adjustable surface properties. One example of a newer class of carbon-based sorbents is activated carbon nanofibers (ACNFs), which possess fibrous structure with a large number of active sites and direct accessible micropores for adsorption [9]. Pristine ACNFs have been found to possess moderate specific surface area (S BET) and low carbon yield after the activation process due to high decomposition of polyacrylonitrile (PAN) as the polymer precursor at a high activation temperature. Even though the S BET achieved by ACNFs is moderate, the adsorption capacity of ACNFs is comparable to that of commercial carbon [9]. This is due to the wide range of porosity of the ACNFs with abundant micropores in their structures. The findings from our recent studies [10] have proved that impregnation of nanofillers or additives can improve the physicochemical properties of the adsorbent, especially S BET and porous structure, consequently the adsorption properties.

At present, a number of additive materials are being used, including metal and metal oxides, graphene and graphene oxides (GO), and amine moieties. For instance, ACNFs composited with magnesium oxide (MgO) and showing enhanced porous structure (S BET up to 1,900 m2/g and 0.7336 cm3/g) have been successfully synthesized by Othman et al. [9]. This approach could be potentially useful in improving their CO2 adsorption capacity through physisorption. In addition, introducing amine moieties to the adsorbent was also reported to improve CO2 adsorption capacity via chemisorption. Study by Rouzitalab et al. [11] demonstrated that N-doped adsorbent enhanced the polarity of the adsorbent surface and significantly improved CO2 capacity with the adsorption capacity of 7.42 mmol/g at 1 bar. However, regarding the adsorption-based CO2 separation process, it is well known that, besides the adsorption step, the setup of a reliable and economic sorbent regeneration strategy represents one of the crucial issues to be dealt with. This is because the regeneration mode greatly affects the selection of the most proper reactor configuration, which should be efficient and cost-effective. Currently available regeneration of the sorbent include temperature swing adsorption (TSA), pressure swing adsorption (PSA), vacuum swing adsorption (VSA), and possibly a combination of two modes, for example, hybrid regeneration mode such as VTSA or PTSA [12]. In our previous work, low-cost graphene-derived rice husk char (GRHC) was successfully synthesized and incorporated into the ACNFs [13] and known as GRHC/ACNFs. The GRHC/ACNF composites have shown improvement in S BET and micropore volumes as well as better adsorption capacity. Over these past decades, the carbon-based adsorbents have been further introduced into functional groups that provide basicity to the surface of the GRHC/ACNFs for capturing CO2. This is because the adsorption performance of CO2 on the adsorbents is limited due to the low affinity of CO2 molecules or low moisture toleration as well as limited adsorption at higher temperature (higher than 30°C). To the best of our knowledge, there are no studies available to deliberate on the implementation of polyethyleneimine (PEI) for amine functionalization of the existing GRHC/ACNF adsorbent at the moment. The challenge of amine impregnation is that the amount of amine attached on the surface is limited by the surface area. Therefore, by improving the surface area of the host materials prior to impregnation could potentially elevate their capacity. Thus, this study represents the very first one that extensively discusses the preparation of GRHC/ACNF composites with enhanced properties especially in terms of porosity and impregnation with PEI for excellent postcombustion CO2 capture.

2 Methods

2.1 Synthesis of graphene-derived rice husk char (GRHC)

GRHC is a graphene-based material that is made from rice husks through a chemical activation method. Rice husks were procured from a local paddy mill in Kedah, Malaysia. They were chemically treated with potassium hydroxide (KOH; ≥85% pellets) under pure air flow at 200°C to produce rice husk char (RHC). The RHC were ground to form a powder. GRHC were formed by a simple chemical activation method. Details on the synthesis method to convert rice husks into GRHC has been explained in our previous study [14].

2.2 Fabrication of ACNF composites

PAN (M w 150,000 Da), N,N-dimethylformamide (DMF), and PEI were purchased from Sigma Aldrich and used as received. PAN and DMF were used to make the polymer dope solution and PEI was used for amine functionalization of the ACNF. Nitrogen gas (99.99%), CO2 (99.99%), and purified air (99.99%) were acquired from Alpha Gas Solution Sdn Bhd. For the polymer dope preparation, 8 wt% (4 g) of PAN and 92 wt% (46 g) of DMF were used for the total weight of 50 g of solution. Prior to electrospinning, 1 wt% of GRHC relative to PAN was stirred in DMF for a minimum 6 h to form a homogeneous solution and then PAN was added. The dope solution was left stirring for 24 h at room temperature until homogeneity was achieved. The same procedure was repeated with varied GRHC loadings (2.5, 5, 10 g). The composition of all denoted samples are listed in Table 1 with ACNF acting as the control for this study.

Table 1

Dope formulation of ACNFs with different graphene loadings of 50 mL solution

Sample name PAN to graphene ratio PAN wt (g) Graphene wt (g)
ACNF 1:0 4 0
GRHC/ACNF0.01 1:0.01 3.96 0.04
GRHC/ACNF0.025 1:0.025 3.90 0.1
GRHC/ACNF0.5 1:0.05 3.80 0.2
GRHC/ACNF0.1 1:0.1 3.60 0.4

The dope solution was then loaded into the electrospinning machine to fabricate the nanofiber. The optimum electrospinning parameters were carried out based on our previous work [15]. The syringe pump was set at 1.0 mL/h, voltage supply at 12 kV, and the needle–collector gap at 15 cm while the environment of the electrospinning chamber was controlled at 30°C temperature and 50% relative humidity. Pyrolysis in a horizontal furnace (model Carbolite 12/65/550) that included three stages, namely stabilization, carbonization, and activation, was carried out next. In the stabilization stage, the NFs were heated up to 275°C under O2 flow with a heating rate of 2°C/min. Then, carbonization of the stabilized NFs under N2 atmosphere was carried out with heating up to 600°C (heating rate of 5°C/min) followed by the activation of the carbonized NFs to 800°C (heating rate of 5°C/min), respectively. The gas flow rate and dwelling time used throughout the process were 0.2 L/min and 30 min, respectively.

2.3 Impregnation of PEI on GRHC/ACNF composites

Amine impregnation was adapted from the study by Khalil and coworkers with some modifications. First, 2 g of ACNFs was mixed with 2 g of PEI and 10 g of DI water. The mixture was magnetically stirred at room temperature for 3 h to make sure the PEI were fully attached on the surface of ACNF samples. Then, the mixture was put into a vacuum oven at 100°C for 5 h for complete drying. A similar procedure was also performed on GRHC/ACNFs. The dried PEI-impregnated samples were further investigated, characterized, and tested for CO2 adsorption performance.

2.4 Characterization

Before the N2 adsorption/desorption test, the VacPrep Degasser (VacPrep 061, Micromeritics Instrument Corporation) was used to degas the samples in a processor under vacuum (1 × 10−1 kPa) at 150°C, minimum for 12 h. Then, the textural properties of the porosity of the samples were examined using a porosity analyzer (MicrotracBEL Belsorp-Max) with N2 (99.9999% purity) at −196°C. The Brunauer–Emmett–Teller (BET) method has been used in determining the specific surface area (S BET), total pore volume (TPV), and mean pore diameter of samples. Meanwhile, the t-plot and Barrett–Joyner–Halenda (BJH) methods were used to determine the micropore volume (V micro) of samples. The mesopore volumes (V meso) were evaluated by subtracting the V micro from TPV. In order to study the crystallinity of the materials and their phase structure, X-ray diffractometer (XRD, Rigaku SmartLab) using Cu Kα (λ = 1.54184 Å) at a scanning rate of 1.5°/min was utilized. A Raman spectrophotometer (RMP-510S, Jasco USA) with 514 nm wavelength Ar-ion laser excitation and 20 mW laser power was applied to describe the degree of graphitization and structural transformation of the samples. The Raman spectrum peaks were recorded within the range of 1,000–3,000 cm−1 laser excitation wavelength.

The morphology, structure, and elemental properties and mapping of the samples were conducted with a high-resolution transmission electron microscope (HR-TEM 120 kV; Hitachi HT7700), field-emission scanning electron microscope (FE-SEM), and electron dispersive X-ray (EDX) (Hitachi SU8020; Hitachi Co. Ltd Japan). Prior to characterization, all samples were placed on a copper grid with a carbon film (after ion bombardment) and were left to dry at an ambient atmosphere. Fourier-transform infrared (FTIR, Thermo Scientific/Nicolet iS10) was employed in determining the chemical functionalities in the samples by setting the scanning range of 4,000–1,000 cm−1. For determining the thermal properties of the samples, such as the percentage of carbon yield and weight loss, thermal gravimetric analysis (TGA) (TA Instruments Q600 Simultaneous DSC/TG) was carried out in the range of 25–800°C with a heating rate of 10°C/min under N2 flow.

2.5 CO2 adsorption performance

CO2 sorption was assessed through a volumetric gas adsorption system (Micromeritics TriStar II). Prior to adsorption, all moisture in the samples was firstly removed by degassing the samples for 12 h at 150°C. Each sample with a weight of ±0.1 g was filled into the adsorption column and constant flow of CO2 (0.015 L/min) was used for the adsorption study. Consequently, samples with the best adsorption performance were subjected to the adsorption test at different temperatures (0, 25, and 50°C) to study their adsorption properties at low to moderate temperatures. As both PEI-impregnated and nonimpregnated GRHC/ACNFs exhibited better adsorption performance over pristine ACNFs, these two samples were used for further assessments including the kinetic and equilibrium characteristics as well as stability studies.

2.6 Kinetics and adsorption equilibrium studies

In order to examine the experimental data of CO2 adsorption on the ACNF samples at different times, Lagergren’s pseudo first-order and pseudo second-order of kinetic models have been employed. According to pseudo first-order characteristics, the adsorption rate is proportional to the number of free adsorption sites on the surface of the adsorbent, and it was calculated based on Equation (1):

(1) ln ( q e q t ) = ln q e k 1 t

where q e is the weight-specific adsorbed amount of the adsorbate at the end of equilibrium (mmol/g), q t is the weight-specific adsorbed amount of the adsorbate at time t (s) during the adsorption process (mmol/g), and k 1 is the rate constant of adsorption of the pseudo first-order model.

Thus, it can be assumed that CO2 adsorption conforms to the pseudo first-order model if the representation of ln ( q e q t ) versus time can be well fitted to a straight line. Commonly, the pseudo first-order model describes reversible interactions between adsorbates and adsorbent, and therefore indicates physisorption processes [16].

However, according to the pseudo second-order model, the adsorption rate is proportional to the square of vacant adsorption sites as shown by equation (2):

(2) t q t = 1 k 2 q e 2   + 1 q e t

where k 2 (mmol/g) is the rate constant of adsorption for the pseudo second-order equation. Consequently, it can be assumed that if the representation of t/q t versus time can be well fitted to a straight line, CO2 adsorption highly obeys the pseudo second-order model. This model describes relatively strong and chemical interactions between the adsorbents and gas molecules. Thus, the process would be signified by chemical adsorption as the rate-controlling step [17]. Both k 1 and k 2 values were attained from the slopes of the corresponding fitted straight lines.

Similar to kinetic study, only GRHC/ACNFs (PEI-impregnated and nonimpregnated) were used for adsorption equilibrium study. The CO2 adsorption isotherms show the relationship between the CO2 adsorbed amount at equilibrium at different pressures (1 and 15 bar). The data obtained were adjusted to the Langmuir and Freundlich models to determine the stages and mechanism of the adsorption of CO2.

2.7 Regeneration and stability

One of the crucial parameters that need to be considered for the practical application of any adsorbent in the adsorption process is the long-term cycling stability. Therefore, we carried out the desorption of the cyclic CO2 after each cycle of adsorption to determine the stability of GRHC/ACNFs. In this study, the cycles were repeated five times at the same adsorption conditions in order to evaluate the regeneration of the GRHC/ACNFs in the early stage. This result will give a better understanding of the adsorbent stability for further use in the following cycles. The cycles were conducted under conditions similar to real-life situations as this temperature is where the CO2 is stripped out from the flue gas pipe. The regeneration of both exhausted GRHC/ACNFs and PEI-impregnated GRHC/ACNFs was conducted by sweeping the adsorbents with 0.1 L/min upward pure N2 at 100°C for 5 h. The regenerated adsorbents were reused in an experiment to adsorb CO2 [18].

3 Results and discussion

3.1 Activated carbon nanofibers composited GRHC (GRHC/ACNF) composites

The N2 isotherm of all prepared samples are shown in Figure 1, and their microstructure and textural properties are recorded in Table 2. All prepared NF-based materials, including with GRHC shows no microporous structure, (V micro = 0 cm3/g). After activation, the textural properties of the ACNFs shows the development of meso- and micropores and increment in the surface area. Type I(b) isotherms derived from the N2 adsorption/desorption in Figure 1 explains the microporous attributes in all ACNF samples. [19,20]. Typical adsorption response of microporous materials can be seen from the stagnant plateau isotherm of all the ACNFs at p/p 0 = 0.05–0.95; however, above 0.95 the adsorption curve continually increases. Additionally, as Qi et al. [19] suggested, H3-type of hysteresis loop was observed from the N2 adsorption/desorption isotherms (p/p 0 = 0.4–1.0), which was due to the capillary condensation in the mesoporous pores [21,22]. It is confirmed that all the activated samples were mainly microporous with a high proportion of V micro in relation to the TPV as shown in Table 2. Along with it, the values of V meso indicating the proportion of mesoporous structure are also tabulated.

Figure 1 
                  N2 adsorption/desorption isotherms of ACNFs synthesized at different loadings of GRHC after activation.
Figure 1

N2 adsorption/desorption isotherms of ACNFs synthesized at different loadings of GRHC after activation.

Table 2

Porous structure characteristics of pristine and composite ACNFs prior and after activation

Samples S BET (m2/g) TPV (cm3/g) V micro (cm3/g) V meso (cm3/g) DPAve (nm)
Prior activation NF 17.17 0.1364 0 0 31.7692
GRHC/NF0.01 17.80 0.1423 0 0 31.9677
GRHC/NF0.025 18.24 0.0053 0 0 21.0940
GRHC/NF0.05 57.71 0.4284 0 0 29.6902
GRHC/NF0.1 15.80 0.0796 0 0 20.1624
After activation ACNF 138.67 0.0930 0.0548 0.0382 2.8424
GRHC/ACNF0.01 597.27 0.3218 0.2606 0.0612 2.174
GRHC/ACNF0.025 66.41 0.0523 0.0267 0.0256 3.3385
GRHC/ACNF0.05 78.26 0.0562 0.0309 0.0253 2.8728
GRHC/ACNF0.1 51.65 0.0412 0.0205 0.0207 3.1897

S BET = specific surface area; TPV = total pore volume; V micro = micropore volume; V meso = mesopores volume; DPAve = Average pore diameter.

At an activation temperature of 800°C, it can be significantly observed that S BET increases in all ACNF samples as shown in Table 2, which represents the formation of mesoporous/microporous structures. This could possibly be due to the catalytic effects of GRHC that takes place at higher temperatures [23]. For example, the S BET of ACNF drastically improved from 17 m2/g to 139 m2/g after the activation. Prior to activation, it can be seen that the S BET is very low in all samples, and it is considered that there is no significant catalytic ability at low temperatures. The S BET considerably increases after activation indicating that GRHC has good catalytic ability for creating porosity at higher temperature. Interestingly, the highest S BET of 597 m2/g was measured for GRHC/ACNF0.1 while further increasing GRHC loading diminished its textural properties. As shown in Table 2, ACNFs with the highest loading of GRHC show the lowest S BET and V micro. Importantly, the adsorbents with high S BET and V micro are preferable as these are important factors for the adsorption of gas molecules [24]. The V meso increases and V micro decreases with the increasing loading of GRHC. This increment of GRHC loading leading to poor textural properties of the ACNF composite could possibly be due to the effects of high conductivity of GRHC that could interfere with the jet ejection during electrospinning for producing nanofibers with larger diameter and formation of beads that results in pore blockage (see Supplementary Materials, Figure S1).

The XRD spectra of all samples in this study are shown in Figure 2. For GRHC, a sharp peak at 28.6° representing the (002) lattice plane and a broad peak at range 17°–31° representing hexagonal graphite were observed. All ACNFs shows two diffraction peaks ranging between 17°–31° and 41°–43°, representing hexagonal graphite and rhombohedral graphite, respectively [25], with variation only in their intensities. Peaks appear around 17°–31° corresponding to the (002) plane of the carbon skeleton [25]. This represents the formation of ladder structures within the ACNF and the composites after the cyclization of PAN activation. Moreover, XRD analysis reveals their crystallographic (100) and amorphous (110) planes [26]. Apparently, the presence of the low and broad peaks in the range of 41°–43° indicates that samples have amorphous structure and possess very low graphitization degree. This finding corresponds well to the one obtained by Raman spectroscopy. All amorphous ACNFs obtained in this study could possibly be due to the destruction of the in-plane aromatic lattices [27], leaving a large number of defect structures in the ACNFs [28,29]. Remarkably, there is no appearance of the GRHC peak in all ACNF composites and this is believed to be due to the very small amount of GRHC used in all composite samples, which is below 10% (relative to PAN wt) that contributed to very weak peak or insignificant peak in the amorphous structure of the carbon materials. In 2012, Guo et al. [30] found that the carbon materials with amorphous and defective structures were considered to have greater ability in modifying the textural characteristics of the ACNFs, which was also observed in this study (Figure 1 and Table 2).

Figure 2 
                  XRD spectra of GRHC, pristine, and composite ACNFs with different loadings of GRHC.
Figure 2

XRD spectra of GRHC, pristine, and composite ACNFs with different loadings of GRHC.

Raman spectroscopy was used in this study to identify the structural features and degree of graphitization of the GRHC and pristine ACNFs, as well as their composites, as shown in Figure 3. All activated samples exhibited two distinguishing peaks, which are at 1,368 cm−1 and 1,612 cm−1 but with different intensities. These two peaks indicated the appearance of the D-band and G-band of graphitic materials in the samples, respectively. In conjunction, the D-band spectra of all samples stipulated the existence of defective and amorphous carbon structure whereas the presence of the G-band signified the orderly structure of the graphene with sp 2 hybridization of the carbon atom. The intensity is relatively high at a low loading of GRHC (1 wt%), and further increasing the loading diminishes their intensity.

Figure 3 
                  Raman spectra of GRHC, pristine, and composite ACNFs with different loadings of GRHC.
Figure 3

Raman spectra of GRHC, pristine, and composite ACNFs with different loadings of GRHC.

As mentioned in previous literature, the formation of the graphene material can be confirmed from the appearance of the 2D-band spectrum around 2,700 cm−1 of the Raman shift [31]. Broad and weak 2D-bands around 2,700–2,800 cm−1 can be observed in all ACNF samples in Figure 3. The very low intensity of the 2D-band in ACNF composites is believed to be due to too small amount of GRHC composited into the structures. It is worth noting that all ACNF-based samples exhibited defect structures and highly amorphous nature as indicated by the intensity of the D-band being higher than the G-band, concurring with the XRD result analysis. In contrast, the G-band is higher than the D-band in the GRHC sample proving its higher crystallinity as a graphene-based material.

Pristine GRHC exhibits the smallest intensity ratio R(I D/I G) of 0.96 for D-band to G-band among all materials under investigation due to the ordered carbon structures as well as the high degree of graphitization [32,33] whereas ACNF exhibits R(I D/I G) of 1.35 indicating a highly disordered structure. Incorporating GRHC into the ACNF shows the composite structure becoming more ordered as implied by the decrease in R(I D/I G) with increasing GRHC, with exception of GRHC/ACNF0.01. It shows that R(I D/I G) of GRHC/ACNF0.01 is higher than that of pristine ACNF and this is corresponding well with the BET and XRD results discussed earlier, indicating this sample possesses the most disordered structures. As more GRHC was incorporated into ACNFs, the composites became more ordered and this could be explained by the addition of the highly ordered structure of pristine GRHC that could affect the structure of the composites.

The graphitic structure of the GRHC/ACNF composites is expected to diminish with the increment of GRHC loading. Regardless of its lowest R(I D/I G) in comparison with other ACNF composites, the carbon material with this value is believed to possess disordered and defective structures. This is validated by Gayathri et al. [31], who found that the graphene synthesized in their research still possessed defect structure even at a significantly low value of R(I D/I G) of ∼0.2–0.4. Remarkably, in this study, their defective structures are more preferable for better gas adsorption due to porosity enhancement caused by the defects. This means the sample with higher R(I D/I G), such as GRHC/ACNF0.01, will show better performance toward CO2 adsorption.

Figure 4 shows the morphological structure of the ACNF at different magnifications and loadings and summarized in Table 3. The development of the porous structure after the activation of the NFs was proved with the appearance of pores on the ACNF structure as shown in Figure 4(e). Among all samples, GRHC/ACNF composited with 1% of GRHC exhibited the smallest fiber diameter of 238 ± 79.97 nm as shown in Table 3. Bead formation was observed in ACNF composites likely due to conductive properties provided by the GRHC and the viscosity of the solution [34]. This would affect the final diameters of the fibers due to the electrostatic repulsion within the jet spray from the tip of the needle to the collector surface throughout the electrospinning process. Huang et al. [35] reported that high conductivity led to the production of electrospun fibers with smaller diameter due to the increment of the surface tension of the solution, which affects the jet ejection during electrospinning. Thus, it can be hypothesized that increasing GHRC loading would result in a smaller diameter. However, interestingly in this study, only GRHC/ACNF0.01 resulted in the smallest diameter whereas increasing GHRC loading further increases the fiber diameter (albeit smaller than ACNF). The results show correlation with the S BET obtained (Table 2) where smaller diameter provides higher S BET and vice versa. From the results obtained, only GRHC/ACNF0.01 has been used for further impregnation study and pristine ACNF has been used for comparison.

Figure 4 
                  FE-SEM images of pristine ACNFs at different magnifications: (a) 5,000×; (c) 10,000×; (e) 100,000×; and with different loadings of GRHC at 10,000× (b) GRHC/ACNF0.01; (d) GRHC/ACNF0.05; (f) GRHC/ACNF0.1.
Figure 4

FE-SEM images of pristine ACNFs at different magnifications: (a) 5,000×; (c) 10,000×; (e) 100,000×; and with different loadings of GRHC at 10,000× (b) GRHC/ACNF0.01; (d) GRHC/ACNF0.05; (f) GRHC/ACNF0.1.

Table 3

Diameter of the pristine and composite ACNFs at different loadings of GRHC

Sample Average diameter (nm) Standard deviation (nm)
ACNF 460 ±57.05
GRHC/ACNF0.01 238 ±79.97
GRHC/ACNF0.025 296 ±40.58
GRHC/ACNF0.05 340 ±57.05
GRHC/ACNF0.1 384 ±52.87

Moreover, another major point to be addressed in this study is the particle size of the GRHC/ACNF0.01 in powdered form. From the results of this current study (see Supplementary Materials, Figure S2), the average particle size of GRHC/ACNF obtained ranged from 22.2 to 35.4 µm. Compared with other sorbents, this range of particle size is a good indicator of the suitability of these samples as good sorbents. It is believed that the size of the particles can greatly affect the adsorption properties of the sorbents. This was supported by a study conducted by Li et al. [36] as they found that particle size of 52.5 µm or smaller resulted in higher absorption of CO2 as compared with a particle size of 77.5 and 100.0 µm. Even though this sorbent has been ground into powdered form, however, under high magnification image, the thread-like structure of the nanofibers remains as shown in Figure 4.

In terms of mechanical strength, this proposed GRHC/ACNF is believed to possess good mechanical strength, including high tensile strength, which could be due to the highly oriented fibers during the electrospinning process that affect the mechanical strength of the nanofibers. Due to limitations of time limitation and availability of instruments, the mechanical test on the GRHC/ACNF could not be conducted. However, superiority of the mechanical properties possessed by GRHC/ACNF can be seen from similar materials such carbon nanofibers studied in several previous work reviewed by Yadav et al. [37]. For example, Pu et al. [38] have successfully fabricated electrospun carbon nanofibers with excellent mechanical properties, such as high tensile strength up to 20.7 MPa. According to their studies, the stretching effect of the jet during electrospinning is advantageous to the arrangement of carbon nanofibers along the fiber axis, which significantly enhances the tensile strength and modulus of the fibers [38].

3.2 PEI-impregnated ACNFs and GRHC/ACNFs

Figure 5 shows the N2 adsorption/desorption isotherms of PEI-impregnated ACNFs and GRHC/ACNF0.01. Both impregnated samples exhibit similar type of isotherm, which is type II indicative of nonporous or macroporous structures [39]. The isotherm type changes from type I(b) prior to activation into type II after activation. This type of isotherm explained the formation of a monolayer at relatively low pressure, and then multilayer formation at higher relative pressure [40]. In contrast with the type I isotherm, the long plateau is absent in type II isotherm as the adsorption uptake continuously increases with the relative pressure without significant halt and it even almost reaches unity, indicating the multilayer adsorption.

Figure 5 
                  N2 adsorption/desorption isotherms of PEI-impregnated ACNFs and PEI-impregnated GRHC/ACNFs.
Figure 5

N2 adsorption/desorption isotherms of PEI-impregnated ACNFs and PEI-impregnated GRHC/ACNFs.

Table 4 summarizes the corresponding textural properties of both impregnated samples. As compared with nonimpregnated samples, both PEI-impregnated samples have shown significant reduction in S BET and TPV, with the disappearance of V micro in the structure. This reduction of S BET confirms that PEI was successfully impregnated onto the porous structures of the ACNF samples, and all of its porosity structure was filled with PEI. Rouzitalab and coworkers have reported that adsorbent materials that are high in TPV were easily accessible by the N-functional groups, which results in blocking the pores of the ACNFs, and were reflected by the decrement of the S BET. In this case, the physisorption that mainly depends on S BET, which predominantly lay in its pores, would be mostly excluded and chemisorption takes place.

Table 4

Textural characteristics of PEI-impregnated ACNFs and GRHC/ACNFs

Samples S BET (m2/g) TPV (cm3/g) V micro (cm3/g) DPave (nm)
PEI-ACNF 2.5162 0.0052 0 8.3243
PEI-GRHC/ACNF 1.9032 0.0043 0 9.1175

The thermal stability of the impregnated ACNFs was evaluated using TGA analysis in the temperature range of 25–700°C (Figure 6). All impregnated ACNFs exhibit thermal decomposition at a higher onset temperature of ∼400°C. This result suggests PEI-impregnated ACNFs have better thermal stability as compared with nonimpregnated samples. From the thermogram, the weight percentage of the ACNFs improved from 24.2% to 36.2% as compared to PEI-ACNF. Meanwhile for PEI-impregnated GRHC/ACNFs, the final weight obtained is much higher than the nonimpregnated one, which is up to 68.2%. This is could possibly be due to the low volatility and good stability properties of PEI [41]. This result is expected to contribute to GRHC/ACNF stability and cyclability during the real-life flue gas separation in postcombustion CO2 capture.

Figure 6 
                  TGA thermogram of PEI-impregnated and nonimpregnated ACNFs and GRHC/ACNFs.
Figure 6

TGA thermogram of PEI-impregnated and nonimpregnated ACNFs and GRHC/ACNFs.

Figure 7 exhibits the FTIR spectra of the nonimpregnated and PEI-impregnated ACNFs and GRHC/ACNFs, respectively. Compared with nonimpregnated ACNFs. A broad band at 2,980 cm−1 was observed, which indicates the existence of –CH2 symmetric stretching modes of the PEI chain in the PEI-impregnated samples. The band at 1,557 cm−1 also can be observed in all impregnated samples associated with the asymmetric bending of the primary amines (–NH2). The appearance of this peak further supports successful impregnation of PEI [42,43].

Figure 7 
                  FTIR spectrum of PEI-impregnated and nonimpregnated ACNFs and GRHC/ACNFs.
Figure 7

FTIR spectrum of PEI-impregnated and nonimpregnated ACNFs and GRHC/ACNFs.

The SEM, TEM images, and EDX mapping of PEI-impregnated GRHC/ACNFs is presented in Figure 8(a)–(d). As shown in Figure 8(a), it can be seen that the morphology of PEI-GRHC/ACNF was agglomerated with appearance of large beads, which is believed happened during the impregnation process. The presence of black spots within the fibers in Figure 8(b) indicates the GRHC presence onto the structures. Furthermore, the presence of a small amount of silica (0.02 ± 0.02 wt%) in the nanowires was also observed [44] in Figure 8(c). This also can be seen with the appearance of silica in the resultant GRHC/ACNFs through EDX mapping (Supplementary Materials, Figure S3), which indicating the high content of silica in untreated (raw) rice husks (prior conversion into GRHC). Through EDX analysis, Table 5 confirms the existence of a high concentration of N atoms on the impregnated samples (35.21 ± 6.81 wt%). The other major elemental properties such as carbon (C) and oxygen (O) were also detected at 51.45 ± 0.74 wt% and 13.32 ± 1.71 wt%, respectively. As expected, C covers the highest percentage among other elements as ACNFs are carbon-based materials.

Figure 8 
                  (a) SEM image at magnification of 5,000×; (b and c) TEM images at different magnifications; and (d) EDX mapping of PEI-impregnated GRHC/ACNFs.
Figure 8

(a) SEM image at magnification of 5,000×; (b and c) TEM images at different magnifications; and (d) EDX mapping of PEI-impregnated GRHC/ACNFs.

Table 5

Elemental properties of PEI-impregnated GRHC/ACNFs

Element Weight (%) Wt% error Atom% Atom% error
C 51.45 ±0.74 56.13 ±0.80
N 35.21 ±6.81 32.95 ±6.39
O 13.32 ±1.71 10.91 ±1.42
Si 0.02 ±0.02 0.01 ±0.01
Total 100.00 100.00

3.3 Adsorption performance and characteristics toward CO2

GRHC/ACNFs showing better CO2 adsorption than the pristine ACNFs (Figure 9) at pressure 1–15 bar indicate that the presence of graphene improves its affinity toward CO2 as it contributes to the enhancement of the textural properties of the adsorbents [45]. These results are in agreement with the BET results where higher S BET and V micro [46] provide more surface for gas to be adsorbed. Compared with other previous works, both ACNFs possess higher CO2 adsorption compared with other carbon-based materials as summarized in Table 6, even though with lower S BET values. It is believed that the high adsorption value is not totally S BET dependent, yet it also could be contributed by the available open micropores on the adsorbents. For example, most of the CNF-based adsorbents in Table 6 showed higher S BET as compared with the samples in this study, however, with lower V micro values and limited CO2 adsorption capacities. This means V micro is a very important characteristic for adsorbents to adsorb higher gas. From this, it can be seen that the resultant ACNFs can be good candidates for gas adsorbents, especially in flue gases, in order to reduce the CO2 emission into the atmosphere, consequently combating the global warming problem.

Figure 9 
                  CO2 adsorption of ACNFs and GRHC/ACNFs at different adsorption pressures: (a) 1 bar; (b) 5 bar; (c) 10 bar; (d) 15 bar at 25°C.
Figure 9

CO2 adsorption of ACNFs and GRHC/ACNFs at different adsorption pressures: (a) 1 bar; (b) 5 bar; (c) 10 bar; (d) 15 bar at 25°C.

Table 6

Comparison of CO2 adsorption capacity on various types of carbon fibers and their composite-based adsorbents

Adsorbent S BET (m2/g) V micro (cm3/g) Vol. of CO2 adsorbed (cm3/g) Temp; pressure Ref.
ACNF 139 0.06 69 25°C; 1 bar This work
GRHC/ACNF 597 0.32 142 25°C; 1 bar This work
CNF-SnO2 434 0.20 58 25°C; 1 atm [34]
CNF-MIL-53 140 30 25°C; 1 bar [47]
PAN-CMFs 966 64 25°C; 1 bar [48]
Graphite NFs 567 0.27 59 25°C; 1 atm [49]
Graphite NFs 966 0.25 71 25°C; 1 atm [50]
NiCo2O4/CNTs CNFs 40 34 25°C; 1 bar [51]
Phenolic resin-based carbon ultrafine fibers 650 65 25°C; 1 bar [52]

Various sorbent materials have been widely used in current adsorption technology and further assessment on their performance needs to be clarified. Table 7 shows the comparison of the sorbents’ properties and their adsorption capacities to further assess the potential of currently synthesized GRHC/ACNFs compared with other available sorbent types, such as conventional activated carbon, zeolites, carbon nanotubes (CNTs), MOFs, graphene, and so on. Among the available adsorbents, carbon-based adsorbents have shown promising adsorption performance as excellent gas adsorbents due to their large surface area and availability (can be produced from wide range of raw materials). In the past few decades, activated carbon is the commonly used adsorbent in various applications. The wide utilization of activated carbon in adsorption industries is advantageous due to their wide distribution of pore structures and surface chemistry for gas adsorption. Most importantly, activated carbon is relatively low in cost, has high S BET, widely available, has an easily modifiable pore structure, , susceptible to surface functionalization, and can be regenerated [53,54].

Table 7

Comparison of various types of available sorbent materials

Adsorbent S BET (m2/g) Pore volume (cm3/g) Temperature; pressure (°C; bar) Volume adsorbed (cm3/g) Ref.
GRHC/ACNF 597 0.32 25°C; 1 bar 142.0 This work
MCM-41 1211 1.3 —; 1 99.9 [56,57]
Mesoporous alumina 812 0.83 —; 1 115.4 [58]
Activated carbon 2187 0.82 25; 8 24.4 [59]
13X-zeolites 710 120; 20 15.5 [60]
Microporous polymers 1237 25; 1 48.8 [61]
Porous clay heterostructures 640 0.828 25; 1 14.2 [62]
Graphene 443 25; 11 47.9 [29]
Carbon nanotubes 60 0.4 25; 1.1 155.3 [63]
Coconut shell-based AC 378 35; 1 13.8 [64]
Pitch-based AC 1053 28; 20% 42.6 [65]
Activated carbon fibers (ACF) 1256 0.636 30; 0.05% 0.08 [66]
Carbon molecular sieve 857 0.501 30; 0.05% 0.36 [66]
ACFs (physical activation) 1,240 0.61 30; 1.1 146.1 [67]
ACFs (chemical activation) 2,180 1.003 30; 1 126.1 [68]
Graphene sheets 484 0.682 0; 1 64.2 [69]
Rice-husk char 1,041 0.53 0; 1 125.0 [70]
Graphite nanofibers 567 0.708 25; 1.01 30.0 [49]

Recently, activated carbon has been obtained in different structures and forms, including powder, granular, tubular, and fibers. It was found that activated carbon in fiber form has shown significant structure improvement, especially in terms of surface area, micropores, active site availability, and gas adsorption capacity as compared with the traditional granular form [55]. The presence of fibril structure in ACNFs has ensured much higher adsorption capacity, which is due to the direct diffusion of gas adsorbates into the available micropores inside and on the surface of the adsorbents. This means there is no resistance for adsorbates to reach the adsorption sites as there are no macropore or mesopore network. Moreover, this fiber form can be prepared from a wide range of precursors such as coal, polymers, petroleum pitch, rayon, and viscose.

As listed in Table 7, the adsorbed volume of CO2 by the ACF and GRHC/ACNF are the highest, which are 6.4 and 6.58 mmol/g, respectively compared with other adsorbents. Even though, the CO2 adsorbed volume is comparable for both samples, the S BET value is significantly different, which is 1240 m2/g for ACF and 597 m2/g for GRHC/ACNF. From this finding, it can be concluded that even at low S BET value, the adsorption performance of the as-proposed adsorbent, GRHC/ACNF, is better than that of the other mentioned adsorbents. It is believed that tuning into higher S BET value can potentially turn this GRHC/ACNF into an excellent CO2 adsorbent. Besides S BET value, another important factor that affects the adsorption performance is the compatibility of the adsorbents for real-life CO2 capture applications. As mentioned in the TGA results above, GRHC/ACNF with good thermal stability (up to 700°C) can withstand the temperature during postcombustion CO2 capture ranging from 40°C to 80°C, which makes this proposed GRHC/ACNF as one of the excellent CO2 adsorbents.

The CO2 adsorption performance of PEI-impregnated GRHC/ACNFs is presented in Table 8. The CO2 adsorption capacity was higher at 107 cm3/g for PEI-ACNFs (55% enhancement) and 191 cm3/g for PEI-GRHC/ACNFs (34% enhancement) as compared with their nonimpregnated samples, which were 69 cm3/g and 142 cm3/g for ACNFs and GRHC/ACNFs, respectively. This has proved the involvement of chemical interaction between the basic N-functionalities in PEI and acidic CO2 molecules. From this finding, it is believed that the high adsorption capacity in PEI-impregnated samples could be contributed by the involvement of both physical and chemical interactions between the adsorbent and adsorbates.

Table 8

CO2 uptakes at different pressures at ambient temperatures

Sample CO2 uptakes (cm3/g)
PEI-1 bar 1 bar 5 bar 10 bar 15 bar
ACNF 107 69 173 242 293
GRHC/ACNF 191 142 342 413 522

In terms of adsorption in more practical dynamic conditions in multicomponent mixtures such as flue gases, this newly produced both impregnated and nonimpregnated GRHC/ACNFs are believed to have good gas separation properties. This statement was made by considering and comparing the N2 adsorption obtained from BET results and the CO2 adsorption capacity. From BET results, the PEI-impregnated sample shows very low N2 adsorption capacity of 2.67 cm3/g whereas the nonimpregnated sample possesses higher adsorption capacity of 33.7 cm3/g. The low N2 adsorption on PEI-GRHC/ACNFs indicates the blockage of the available porous structure (very low S BET as previously discussed) by PEI for N2 molecules to be adsorbed onto the structure. As N2 is an inert gas, it does not interact with N-functionalities on the surface of PEI-GRHC/ACNFs. In contrast, the nonimpregnated sample exhibits higher N2 adsorption due to the numerous available porous structures, which contributes to physisorption. According to both N2 and CO2 adsorption capacity, it is believed that the resultant GRHC/ACNFs more selective toward CO2. From this finding, GRHC/ACNFs can potentially act as a good adsorbent for flue gas separation in postcombustion CO2 capture.

As previously discussed, the GRHC/ACNFs possessed the highest S BET and TPV prior to PEI impregnation but the lowest after impregnation. It can be attributed to the presence of amine in the GRHC/ACNFs. This phenomenon explains the high CO2 adsorption capacity in PEI-GRHC/ACNFs even though they possessed smallest values of S BET and TPV as compared with GRHC/ACNFs, which is highly believed to be influential in both physisorption and chemisorption. In conclusion, it can be said that high CO2 adsorption capacity in PEI-GRHC/ACNFs is attributed to a synergic effect of amino groups, thus multiplying the CO2 uptakes through chemisorption [71]. With low value of S BET (presence of very low V meso or macropores), it can be said that PEI does not totally block the surface of the GRHC/ACNFs leaving spaces for physisorption to take place. Both GRHC/ACNFs and PEI- GRHC/ACNFs show the highest CO2 uptakes as compared with other samples as shown in Table 8. For further adsorption studies, both samples have been used and were denoted as PEI-GRHC/ACNFs for PEI-impregnated samples and GRHC/ACNFs for nonimpregnated ones.

Figure 10 shows the CO2 adsorption isotherm of the GRHC/ACNFs and PEI-GRHC/ACNFs at atmospheric pressure and temperatures of 0°C, 25°C, and 50°C. Figure 10 reveals that the desorption of both impregnated and nonimpregnated samples at different temperatures shows no hysteresis. This means that both samples have very good adsorption/desorption capacity. It was also observed that CO2 adsorption capacity reduces with increasing temperature for both samples. The adsorbed amount of CO2 in PEI-GRHC/ACNFs and GRHC/ACNFs decreased from 522 to 142 cm3/g and 293 to 69 cm3/g, respectively. At higher temperature, the energized gas molecules were rapidly occupied on the GRHC/ACNFs surface, therefore, resulting in fewer CO2 molecules captured [72]. Moreover, low equilibrium of CO2 at higher temperature was also due to the exothermic nature of the adsorption [73].

Figure 10 
                  CO2 adsorption/desorption on PEI-impregnated and nonimpregnated GRHC/ACNFs at different temperatures (a) 0°C; (b) 25°C; and (c) 50°C under atmospheric pressure.
Figure 10

CO2 adsorption/desorption on PEI-impregnated and nonimpregnated GRHC/ACNFs at different temperatures (a) 0°C; (b) 25°C; and (c) 50°C under atmospheric pressure.

Table 9 summarizes the kinetic studies of the PEI-GRHC/ACNFs and GRHC/ACNFs in order to determine the most fitted kinetics adsorption for the adsorption of CO2. Based on the R 2 values, both GRHC/ACNFs samples are best fitted to the pseudo first-order kinetic model at low adsorption pressure of 1 bar by displaying greater R 2 value of 0.891 and 0.899. Meanwhile, the significantly low values of R 2 found in both samples in pseudo second-order kinetic model. This means that the CO2 adsorption process of GRHC/ACNFs involved a physisorption phenomenon at low pressure as per our expectation, which means the physisorption is more related to the adsorption toward the surface with higher S BET, TPV, and V micro by weak dipole van der Waals interactions. These results are also in agreement with the results of S BET, N2, and CO2 adsorption previously discussed. Remarkably, even though the nonimpregnated GRHC/ACNFs show the results as expected, however, the PEI-impregnated GRHC/ACNFs show result beyond our expectations as they also obeyed the pseudo first-order kinetic model. This is believed to be because of the small amount of amino groups presence in the impregnated samples (due to the low ratio of PEI:GRHC/ACNF:DI water; 1:1:5 used) that led to weaker interaction between PEI and CO2 molecules resulting to minimum effects on the chemical interaction while involving physical interaction simultaneously [74]. In low pressure, physical interaction exhibits more dominant effect on the adsorption process. This is corresponding with previous study conducted by Liu et al. as they found that PEI-impregnated porous polymer-based adsorbents suggest both physical adsorption and chemical adsorption toward CO2 [75].

Table 9

The fitted parameters of pseudo first order and pseudo second order of PEI-GRHC/ACNFs and GRHC/ACNFs at 1 and 15 bar

Sample Pressure (bar) q e , exp (cm3/g) Pseudo first order Pseudo second order
k 1 q e ,cal R 2 k 2 q e ,cal R 2
GRHC/ACNF 1 142 −0.0414 3.05 0.899 0.0061 1.95 0.038
PEI-GRHC/ACNF 191 −0.0523 3.87 0.891 0.0305 11.82 0.257
GRHC/ACNF 15 522 −0.0343 4.13 0.915 0.1586 1.38 0.986
PEI-GRHC/ACNF 606 −0.0528 4.51 0.798 0.3865 2.71 0.996

Interestingly, at higher adsorption pressure of 15 bar, both samples can be ascribed by pseudo first-order and pseudo second-order kinetic models as the R 2 values obtained were high in both models. The R 2 values of pseudo first order of PEI-GRHC/ACNFs and GRHC/ACNFs are 0.7978 and 0.9154, respectively. Meanwhile, the R 2 values of pseudo second order of PEI-impregnated GRHC/ACNFs and nonimpregnated GRHC/ACNFs are 0.996 and 0.986, respectively. These findings indicate that the adsorption properties of both GRHC/ACNFs involve both chemical and physical reactions between the free active sites and open pores available on the GRHC/ACNFs and the CO2 molecules. Moreover, this also confirms the main idea of PEI impregnation is to improve the CO2 adsorption by introducing the basic N-functional groups onto the GRHC/ACNFs for better binding with acidic CO2 molecules through chemisorption without cancelling the physisorption properties. To conclude, both kinetic models used in this study are suitable for the present data obtained for the adsorption of CO2 at 15 bar and 25°C; however, it fits the best with pseudo second order and followed by pseudo first order [76].

Table 10 summarizes the linearized plot of the experimental data correlated to the Langmuir, Freundlich, and BET models to determine the homogeneity and heterogeneity energy distribution on the surface of the adsorbents. The R 2 values show that the resultant GRHC/ACNFs best fitted in Langmuir model and followed by BET. This implies that the adsorption of CO2 involves monolayer phenomenon with homogeneous distribution on adsorbent active sites as previously discussed by Kim et al. [24]. In Langmuir isotherm and BET model, the dynamic equilibrium can be obtained by balancing the relative rates of adsorption and desorption based on the GRHC/ACNFs surface coverage [77].

Table 10

The fitted parameters of Langmuir, Freundlich, and BET isotherm models of PEI-GRHC/ACNFs and GRHC/ACNFs at 1 bar

Sample Freundlich Langmuir BET
n (mmol/g) K F R 2 q max (mmol/g) K L (bar−1) R 2 R 2
GRHC/ACNF 0.785 2.434 0.841 8.688 39.179 0.999 0.987
PEI-GRHC/ACNF 0.761 2.339 0.810 6.379 27.073 0.998 0.972

It is believed that the adsorption process on the resultant GRHC/ACNFs does not only involve the formation of monolayer but also the formation of multilayers simultaneously [78]. This result was also supported by N2 adsorption/desorption mentioned previously, in which the adsorption is monolayer at lower pressure but forming multilayers at higher pressures. This multilayer formation is best described by the Freundlich model. This model explains the adsorption process on surface adsorption sites which are energetically homogeneous.

Apart from a high CO2 uptakes and fast adsorption/desorption kinetics, a good adsorbent should be stable and regenerated under mild conditions, in order to avoid high costs of the energy penalty. In this study, the cyclic behavior and stability of both impregnated and nonimpregnated GRHC/ACNFs were investigated via five consecutive CO2 adsorption/desorption cycles for 14 h at 50°C (Figure 11). The selection of this adsorption temperature is to replicate the real condition of postcombustion CO2 capture that is commonly used for adsorbent materials. As shown, there is a slight loss in adsorption capacity after each cycle. After five cycles, the stability of the impregnated GRHC/ACNFs shows almost similar drop percentage of 23% (from 32.2 to 24.6 cm3/g) as compared with nonimpregnated GRHC/ACNFs of 22% (15.1–11.8 cm3/g). This is could possibly be due to imperfect regeneration of the adsorbents due to the high affinity of PEI toward CO2 and the current desorption method is insufficient to evacuate all CO2 from the adsorbents. Moreover, PEI-modified ACNFs are dominated by chemisorption, and hence require higher energy (i.e. temperature) to evacuate CO2. It has been found that this dropping percentage is considered acceptable for amine-impregnated samples after five cycles, as the capacity of the carbon capture under the same conditions on tetraethylenepentamine (TEPA) impregnated electrospun carbon nanofibers by a study conducted by Wang et al. [79] reported the drop is more than 11%. Rather than its higher drop percentage as compared with previously reported studies, the GRHC/ACNFs possessed comparable or superior adsorption capacity over other samples which is up to 27.1 cm3/g at 50°C. Even though the GRHC/ACNFs obtained in this study do not show similar adsorption capacity compared with the first cycle, however it become more stable from the fourth cycle to fifth cycle, which shows that the percentage drop is very low. It has been found that the resultant GRHC/ACNFs have good recyclability as well as mild regeneration conditions, which is believed to have high potential for practical applications in energy-efficient carbon capture processes.

Figure 11 
                  Cyclic ability of the CO2 adsorption on PEI-impregnated and nonimpregnated GRHC/ACNFs at 50°C and 1 bar.
Figure 11

Cyclic ability of the CO2 adsorption on PEI-impregnated and nonimpregnated GRHC/ACNFs at 50°C and 1 bar.

4 Conclusion

In conclusion, it can be said that the physicochemical properties of the pristine ACNFs and their adsorption performances can be improved by suitable loading of additives or nanofillers. In this study, it has been found that graphene-based materials such as GRHC could greatly enhance the properties of the pristine ACNFs, especially in terms of their porosity and textural properties that were the major contributing factors for their excellent CO2 adsorption capacity. GRHC, which shows high S BET as well as good electrical conductivity, produced in this study has been used as additive to improve the solution conductivity during the electrospinning process, which helps in producing fiber with smaller diameter. This is because the adsorption capacity is highly dependent upon the S BET, TPV, and V micro of the adsorbents; the higher the S BET and V micro, the higher the adsorption capacity. Compared with pristine ACNFs, GRHC/ACNFs exhibited better porous properties and consequently, exhibited the highest adsorption capacity toward CO2—up to 142.1 cm3/g. Meanwhile, the adsorption capacity of the samples was enhanced by impregnating amine-based chemicals, such as PEI, onto the ACNFs and GRHC/ACNFs. The presence of amine groups in PEI-impregnated samples enhanced the chemical interaction between the basic properties of amines and acidic properties of CO2 adsorbates. The adsorption capacity in PEI-GRHC/ACNFs composites was found to be the highest with the value of 190.9 cm3/g under atmospheric pressure and 25°C. This is could possibly be due to the interaction of both physical and chemical adsorption that simultaneously occurred and resulted in high CO2 adsorption.

Acknowledgements

The authors would like to acknowledge the financial support from the Malaysian Ministry Education and Universiti Teknologi Malaysia under the UTM Prototype Research grant (UTMPR) (Q.J130000.2851.00L41); collaborative research grant (CRG) (Q.J130000.2451.087G72) and (Q.J130000.2451.08G26); UTM-TDR grant scheme (Q.J130000.3551.06G07); HICOE research grant (R.J090301.7851.4J428), and Professional Development Research University grant (Q.J130000.21A2.05E42). The work was carried out through the financial support of the Ministry of Education, Youth and Sports of the Czech Republic and the European Union (European Structural and Investment Funds – Operational Programme Research, Development and Education) under the project “Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation,” Reg. No. CZ.02.1.01/0.0/0.0/16_025/0007293. The authors would also like to acknowledge the technical and management support from the Research Management Centre, Universiti Teknologi Malaysia (RMC, UTM). One of the authors, Othman, F.E.C. would like to acknowledge the Zamalah scholarship received from UTM, NIMS Internship Scholarship 2018 awarded by the National Institute for Materials Science (NIMS), Japan, and the Mitacs-Globalink Research Award 2020 awarded by Mitacs and Ecole Polytechnique de Montreal, Canada.

  1. Funding information: Malaysian Ministry Education and Universiti Teknologi Malaysia under the UTM Prototype Research grant (UTMPR) (Q.J130000.2851.00L41); collaborative research grant (CRG) (Q.J130000.2451.087G72) and (Q.J130000.2451.08G26); UTM-TDR grant scheme (Q.J130000.3551.06G07); HICOE research grant (R.J090301.7851.4J428) and Professional Development Research University grant (Q.J130000.21A2.05E42). The work was carried out through the financial support of the Ministry of Education, Youth and Sports of the Czech Republic and the European Union (European Structural and Investment Funds – Operational Programme Research, Development and Education), Reg. No. CZ.02.1.01/0.0/0.0/16_025/0007293.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Conflict of interest: The authors state no conflict of interest.

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Received: 2021-09-26
Revised: 2021-11-08
Accepted: 2022-01-07
Published Online: 2022-02-21

© 2022 Faten Ermala Che Othman et al., published by De Gruyter

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

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  138. Early diagnosis of lung cancer using magnetic nanoparticles-integrated systems
  139. Advances in ZnO: Manipulation of defects for enhancing their technological potentials
  140. Efficacious nanomedicine track toward combating COVID-19
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  142. Green synthesis of nanoparticles for varied applications: Green renewable resources and energy-efficient synthetic routes
  143. Two-dimensional nanomaterial-based polymer composites: Fundamentals and applications
  144. Recent progress and challenges in plasmonic nanomaterials
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  149. Antibacterial nanomaterials: Upcoming hope to overcome antibiotic resistance crisis
  150. Research progress of carbon materials in the field of three-dimensional printing polymer nanocomposites
  151. A review of atomic layer deposition modelling and simulation methodologies: Density functional theory and molecular dynamics
  152. Recent advances in the preparation of PVDF-based piezoelectric materials
  153. Recent developments in tensile properties of friction welding of carbon fiber-reinforced composite: A review
  154. Comprehensive review of the properties of fly ash-based geopolymer with additive of nano-SiO2
  155. Perspectives in biopolymer/graphene-based composite application: Advances, challenges, and recommendations
  156. Graphene-based nanocomposite using new modeling molecular dynamic simulations for proposed neutralizing mechanism and real-time sensing of COVID-19
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  158. Recent developments and future perspectives of biorenewable nanocomposites for advanced applications
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  160. 3D printing customized design of human bone tissue implant and its application
  161. Design, preparation, and functionalization of nanobiomaterials for enhanced efficacy in current and future biomedical applications
  162. A brief review of nanoparticles-doped PEDOT:PSS nanocomposite for OLED and OPV
  163. Nanotechnology interventions as a putative tool for the treatment of dental afflictions
  164. Recent advancements in metal–organic frameworks integrating quantum dots (QDs@MOF) and their potential applications
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  166. Microstructural characteristics and nano-modification of interfacial transition zone in concrete: A review
  167. Latest developments in the upconversion nanotechnology for the rapid detection of food safety: A review
  168. Strategic applications of nano-fertilizers for sustainable agriculture: Benefits and bottlenecks
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  170. Synthesis and application of nanometer hydroxyapatite in biomedicine
  171. Cutting-edge development in waste-recycled nanomaterials for energy storage and conversion applications
  172. Biological applications of ternary quantum dots: A review
  173. Nanotherapeutics for hydrogen sulfide-involved treatment: An emerging approach for cancer therapy
  174. Application of antibacterial nanoparticles in orthodontic materials
  175. Effect of natural-based biological hydrogels combined with growth factors on skin wound healing
  176. Nanozymes – A route to overcome microbial resistance: A viewpoint
  177. Recent developments and applications of smart nanoparticles in biomedicine
  178. Contemporary review on carbon nanotube (CNT) composites and their impact on multifarious applications
  179. Interfacial interactions and reinforcing mechanisms of cellulose and chitin nanomaterials and starch derivatives for cement and concrete strength and durability enhancement: A review
  180. Diamond-like carbon films for tribological modification of rubber
  181. Layered double hydroxides (LDHs) modified cement-based materials: A systematic review
  182. Recent research progress and advanced applications of silica/polymer nanocomposites
  183. Modeling of supramolecular biopolymers: Leading the in silico revolution of tissue engineering and nanomedicine
  184. Recent advances in perovskites-based optoelectronics
  185. Biogenic synthesis of palladium nanoparticles: New production methods and applications
  186. A comprehensive review of nanofluids with fractional derivatives: Modeling and application
  187. Electrospinning of marine polysaccharides: Processing and chemical aspects, challenges, and future prospects
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