Abstract
Kinetics of iron removal from quartz under the ultrasound-assisted leaching was explored in this paper, and the effects of temperature, leaching time, stirring speed and ultrasonic input power on iron removal were studied. The results revealed that the reaction kinetics followed the shrinking core model and the product layer internal diffusion was the rate-determining step in the ultrasound-assisted leaching process. The activation energy of the ultrasonic-assisted leaching reaction was 27.72 kJ/mol, which was 7.28 kJ/mol higher than that of the regular method. Moreover, the kinetic equation and mathematical model of iron removal from quartz were established. Compared with the regular leaching, only 40 min were required for the ultrasound-assisted leaching process to achieve an iron removal rate of up to 74%. Under the optimal parameters, SiO2 content of concentrate increased from 99.5828% to 99.9047%, and Fe2O3 content reduced from 0.0857% to 0.0223%. Additionally, it was found that the iron removal rate increased with increasing temperature, stirring speed or ultrasonic power.
1 Introduction
Highly pure quartz is an important nonmetallic high-tech raw material. It is extensively used in manufacturing solar cells, microelectronics components, optical fibers, refractories and high-quality ceramics as well as in other industries [1,2,3]. Iron oxides in quartz are detrimental impurities, and they can lead to an unacceptable coloring of the final products [4]. In general, it is very difficult to remove the iron impurities embedded in quartz particles, attached to quartz surface or wrapped in gas–liquid inclusions [5]. Various physical, physicochemical or chemical methods have been developed to realize the efficient removal of iron from quartz [6,7,8]. Among these, chemical processing is considered as the most effective iron removal technique. However, chemical methods are usually expensive and have adverse effects on the environmental safety. In view of these limitations, more environmentally benign reagents or methods should be developed to promote the extensive application of these chemical methods.
In recent years, weak organic acids (such as oxalic acid
Cornell and Schindler [14] studied the kinetics of photochemical dissolution of goethite in
Taxiarchou et al. [16] studied the dissolution kinetics of hematite in
Salmimies et al. [20] studied the kinetics of magnetite dissolution in mixtures of
Some scholars believed [21,22,23,24] that the iron extraction kinetics followed the shrinking core model in acid solutions. However, there are still controversies about the effects of temperature, acid concentration and other parameters on the leaching efficiency. In addition, the rate-determining step is also not determined yet. To the best of our knowledge, few published reports are available about the iron dissolution kinetics under the ultrasound-assisted leaching.
In this study, the removal of iron oxides in mixtures of
2 Materials and methods
2.1 Raw materials, instrumentation and reagents
The quartz samples in this investigation were purchased from Lianyungang Xinhai Quartz Products Co., Ltd located in Lianyungang City of Jiangsu Province, China. The complete chemical compositions of the samples were determined by X-ray fluorescence (XRF; Axios mAX, the Netherlands PANalytical) and the results are presented in Table 1.
The chemical composition of original samples by XRF (%)a
Components | SiO2 | Al2O3 | Fe2O3 | CaO | Na2O | K2O | MgO |
---|---|---|---|---|---|---|---|
Amount | 99.5828 | 0.1158 | 0.0857 | 0.0422 | 0.0387 | 0.0355 | 0.0327 |
- a
The oxides of less than 0.03% are not shown.
In order to know the mineralogy of the samples, X-ray diffraction (XRD; D/max 2550PC, Japan Rigaku Co., Ltd, with Cu-Kα radiation between 10° and 90°) was used, and the XRD pattern is shown in Figure 1. As can be seen, the samples show a very high percentage of quartz and a very small amount of iron oxides, implying the purity of these quartz samples is very high. The result is in good agreement with the XRF result.

The X-ray diffractogram of quartz samples.
Iron content of the quartz was examined by ICP-OES (Varian 715-ES, USA). The particle size and size distribution of the samples were determined by laser light scattering method (Mastersizer 2000, Malvern, UK).
All the used chemical reagents were analytically pure and were produced by Sinopharm Group Chemical Reagent Co., Ltd., China. Deionized water (laboratory production) was used throughout this study.
2.2 Experimental
2.2.1 Regular acid leaching experiment
The leaching agent was prepared by dissolving known amounts of
2.2.2 Ultrasonic-assisted acid leaching experiment
The ultrasonic-assisted experiment was conducted according to the same procedure as described above. The only difference was that an ultrasound cell breaker probe was immersed into the liquid to be extracted in the glass extraction vessel. Different input powers and treatment times were examined. After the desired extraction time, the same washing procedure was implemented as presented in Section 2.2.1.
All experiments were carried out at least twice and the mean values were taken as the final results. Figure 2 shows the schematic diagram of the experimental setup.

Schematic diagram of the experimental setup.
2.3 Evaluation and characterization
The iron removal rate was calculated using the following equation:
where
3 Results and discussion
3.1 Kinetic analysis of iron leaching process
The shrinking core model is the most commonly used liquid–solid phase non-catalytic reaction model [25]. In the interface reaction model without solid products, the reaction occurs only at the interface of the liquid and solid phases, and the reaction surface shrinks continuously from the surface to the center of the solid particle. The whole reaction process involves the following five steps.
Step 1: External diffusion process of the reaction. The liquid reactant A goes through the fluid body and passes through the fluid film outside the particle surface to the solid particle surface.
Step 2: Internal diffusion process of the reactant. The liquid reactant A goes through the solid product layer and then diffuses to the reaction interface.
Step 3: Interface chemical reaction process. The liquid reactant A and the solid reactant B react at the solid-phase interface.
Step 4: Internal diffusion process of the liquid product. The liquid product C diffuses to the outer surface of the particle through the solid product layer.
Step 5: External diffusion process of the liquid product. The liquid product C diffuses from the outer surface of the particle to the main fluid body through the stagnant membrane.
The acid leaching reaction of quartz sands belongs to liquid-solid phase reaction. The chemical reaction equations of iron impurities (expressed as
The above reactions can be considered as liquid-solid phase noncatalytic reactions on the surface of the solid particle. The reaction products
Figure 3 shows the particle size distribution of the samples. The size of the initial quartz sands is between 150 and 350 μm, with an average value of 238.502 μm (Figure 3(a)). After acid leaching, the samples have an average particle size of 234.325 μm (Figure 3(b)), which is very similar to that of the initial samples. It can be found that the particle size is almost unchanged before and after the acid leaching process. Therefore, the shrinking unreacted core model can be used to describe these reaction processes, and in this case, only by the following three steps [26]:

Particle size distribution of (a) original samples, (b) leached solid samples (acid leaching conditions –
Step 1: External diffusion. Since the reaction system is usually equipped with a stirring device in the acid leaching process, the external diffusion process can be ignored and will not be the rate-determining step.
Step 2: Chemical reaction. The kinetic equation can be expressed as:
Step 3: Internal diffusion. The kinetic equation can be expressed as:
where
3.2 Determination of the rate-determining step
Figure 4(a) presents the influence of stirring speed on the iron removal efficiency. It can be seen that the iron removal rate increases with increasing stirring speed. Assuming the chemical reaction as the rate-determining step, the relationship between the iron removal rate

The relationship between (a)
Figure 5 shows the results of ultrasonic-assisted acid leaching. The curve characteristics are similar to those of conventional acid leaching. Ultrasound agitation intensity increases with increasing ultrasonic input power, which is conducive to improve the mass transfer diffusion process [27].

The relationship between (a)
Similarly, the iron removal rate
3.3 Calculation of apparent activation energy and derivation of mathematical model
The relationship between the chemical reaction rate constant
where A is the pre-exponential factor,
The logarithm form of Equation (7) is given as
A clear linear relationship can be observed between
Figure 6(a) shows the effects of reaction temperature on the iron removal rate under the condition without ultrasound. It can be seen that the temperature rise can facilitate the leaching efficiency.

The relationship between (a)
The calculated results according to equation (5) are presented in Figure 6(b), and the Arrhenius plot is given in Figure 6(c). According to equation (9),
Thus, the kinetic equation for explaining the effects of reaction temperature on iron removal can be derived as:
or
According to equations (6) and (11), a mathematical model for iron removal can be obtained:
Similarly, the effects of reaction temperature on the iron removal rate the under ultrasonic-assisted leaching were studied, and the results are shown in Figure 7(a). As can be seen, ultrasonic-assisted leaching induces a remarkable acceleration of the iron removal rate, which can be up to 74% in only 40 min. By contrast, the conventional stirring method takes more than 8 h to reach the maximum.

The relationship between (a)
The relationships between
It is well-known that the apparent activation energy of chemical reaction is usually in the range of 40–400 kJ/mol. In this study, the calculated activation energies under the conditions of regular leaching and ultrasonic-assisted leaching are both less than the lower limiting value. This further proves that the rate-determining step of the process is internal diffusion.
The kinetic equation for explaining the effects of reaction temperature on iron removal under the ultrasound-assisted leaching can be derived as:
Thus, a mathematical model for iron removal under the ultrasound-assisted leaching can be derived as:
3.4 Calculation of apparent activation energy
High-purity quartz product was obtained under the optimal parameters, i.e., an oxalic acid concentration of 10 g/L, a hydrochloric acid concentration of 5%, an extraction temperature of 60°C, a liquid–solid ratio of 5, an ultrasound power of 400 W and an ultrasound treatment time of 30 min. The SiO2 content was increased from 99.5828% to 99.9047%, Fe2O3 content was reduced from 0.0857% to 0.0223% and a maximal iron removal rate of up to 74%. The chemical composition of the concentrates is shown in Table 2.
The chemical composition of concentrate samples by XRF (%)
Components | SiO2 | Al2O3 | Fe2O3 | CaO | Na2O | K2O | MgO |
---|---|---|---|---|---|---|---|
Amount | 99.9047 | 0.0810 | 0.0223 | 0.0106 | 0.0194 | 0.0189 | 0.0213 |
4 Conclusions
The kinetics of iron removal from quartz under the ultrasound-assisted leaching had been investigated. The results showed that the iron removal efficiency increased with increasing temperature, stirring speed or ultrasonic input power. The leaching time could be greatly shortened under ultrasonic-assisted leaching compared with the regular stirring method, and the maximum iron removal rate of 74% was achieved in only 40 min. Under the optimal parameters, the SiO2 content of the concentrates increased from 99.5828% to 99.9047% and the Fe2O3 content reduced from 0.0857% to 0.0223%. The experimental data fitted well with the shrinking core model for the internal diffusion-controlled leaching process. The apparent activation energy of the reaction under the ultrasound-assisted leaching was Ea = 27.72 kJ/mol, and the mathematical model for iron removal can be derived as:
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© 2020 Chang-Qiao Yang and Su-Qin Li, published by De Gruyter
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- Optimization of heat treatment of glass-ceramics made from blast furnace slag
- Study on microstructure and mechanical properties of P92 steel after high-temperature long-term aging at 650°C
- Effects of rotational speed on the Al0.3CoCrCu0.3FeNi high-entropy alloy by friction stir welding
- The investigation on the middle period dephosphorization in 70t converter
- Effect of cerium on the initiation of pitting corrosion of 444-type heat-resistant ferritic stainless steel
- Effects of quenching and partitioning (Q&P) technology on microstructure and mechanical properties of VC particulate reinforced wear-resistant alloy
- Study on the erosion of Mo/ZrO2 alloys in glass melting process
- Effect of Nb addition on the solidification structure of Fe–Mn–C–Al twin-induced plasticity steel
- Damage accumulation and lifetime prediction of fiber-reinforced ceramic-matrix composites under thermomechanical fatigue loading
- Morphology evolution and quantitative analysis of β-MoO3 and α-MoO3
- Microstructure of metatitanic acid and its transformation to rutile titanium dioxide
- Numerical simulation of nickel-based alloys’ welding transient stress using various cooling techniques
- The local structure around Ge atoms in Ge-doped magnetite thin films
- Friction stir lap welding thin aluminum alloy sheets
- Review Article
- A review of end-point carbon prediction for BOF steelmaking process