Research on extraction of zinc from spent pickling solution using Aliquat 336

Wang, Yongmi; He, Yuan; Yin, Shaohua; Long, Hailin; Li, Shiwei

doi:10.1016/j.hydromet.2020.105322

Cited by 28 publications

(8 citation statements)

References 18 publications

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“…The obtained results are in good agreement with the literature, which reported that stripping agents such as NaOH attained virtually quantitative Zn(II) removal from the IL phase. [ 22,27 ]…”

Section: Resultsmentioning

confidence: 99%

“…At last, the authors reported H 2 SO 4 and HNO 3 as good stripping agents for Zn(II), reaching around 60% stripping efficiency. Wang et al [ 27 ] successfully achieved the selective extraction of Zn(II) from spent pickling solutions containing Zn and Fe with [TOMA + ][Cl − ], under a variety of conditions of contact time, phase ratio, [TOMA + ][Cl − ] concentration in kerosene, and [H + ] concentration. Finally, Larsson and Binnemans [ 28 ] used a novel separation scheme with [P 6,6,6,14 + ][Cl − ], [TOMA + ][Cl − ], [TOMA + ][NO 3 − ], and trioctylmethylammonium thiocyanate [TOMA + ][SCN − ] to recycle several types of metals from nickel metal hydride batteries.…”

Section: Introductionmentioning

confidence: 99%

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Highly selective solvent extraction of Zn(II) and Cr(III) with trioctylmethylammonium chloride ionic liquid

et al. 2021

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This study investigates the recovery of Zn(II) and Cr(III) from aqueous solutions based on solvent extraction with trioctylmethylammonium chloride [TOMA+][Cl‐], commercialy named Aliquat 336. Single metal solutions and binary mixtures of both metals were considered. The effect of relevant operating conditions such as pH, contact time, initial concentration, O/A phase volumetric ratio, and temperature were evaluated. Additionally, loading capacity and stripping studies were performed. Results showed that [TOMA+][Cl−] is an effective extracting agent for Zn(II), reaching maximum removal capacity at pH 1.8 and demonstrating fast extraction kinetics. Extraction efficiencies above 99% were achieved at 0.5, 0.75, and 1.00 O/A volumetric phase ratios for 0.1 g/L initial Zn(II) concentration. At 1 g/L and 10 g/L concentration, for the same O/A ratios, approximately 88% of the initial Zn(II) was extracted. In contrast, it was found that negligible amounts of Cr(III) were transferred to the [TOMA+][Cl−] phase at the 1‐5 pH range. Selectivity studies showed that Zn(II) removal is boosted in the presence of Cr(III), although no Cr(III) is extracted. [TOMA+][Cl−] exhibited a high Zn(II) storage capacity, since after 25 loading cycles with 1 g/L, the loading capacity reached approximately 13.5 g/L, and after five loading cycles with 5 g/L, the capacity reached 19.4 g/L. Stripping tests revealed that NaOH is an efficient agent for the removal of Zn(II) from the ionic liquids, reaching 98.5% removal after two cycles, whereas HNO3 is not a suitable agent, reaching less than 40% removal after three cycles. [TOMA+][Cl−] revealed high potential for separating Zn(II) from Cr(III).

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Highly selective solvent extraction of Zn(II) and Cr(III) with trioctylmethylammonium chloride ionic liquid

et al. 2021

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“…The adopted data are NDVI data in MODIS 13Q1 products (Wang et al, 2020). The period is from 1 January 2021 to 19 February 2021, with 23 stages in total.…”

Section: Remote Sensing Image Datamentioning

confidence: 99%

Research on Information Extraction of the Dongting Lake Ecological Wetland Based on Genetic Algorithm Optimized Convolutional Neural Network

Wan

Yin

2022

Front. Ecol. Evol.

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Dongting Lake is an important lake wetland in China. How to quickly and accurately obtain the basic information of the Dongting Lake ecological wetland is of great + significance for the dynamic monitoring, protection, and sustainable utilization of the wetland. Therefore, this article proposes the information extraction of the Dongting Lake ecological wetland based on genetic algorithm optimized convolutional neural network (GA-CNN), an analysis model combining genetic algorithm (GA) and convolutional neural network (CNN). Firstly, we know the environmental information of Dongting Lake, take Gaofen-1 image as the data source, and use normalized vegetation index and normalized water body index as auxiliary data to preprocess the change detection of remote sensing images to obtain high-precision fitting images. GA-CNN is constructed to efficiently extract the information of the Dongting Lake ecological wetland, and the Relu excitation function is used to improve the phenomenon of gradient disappearance and convergence fluctuation so as to reduce the operation time. Logistic regression is used for feature extraction, and finally the automatic identification and information extraction of the Dongting Lake ecological wetland are realized. The research results show that the method proposed in this article can more deeply dig the information of ground objects, express depth features, and has high accuracy and credibility.

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“…The direct discharge of HPWL will cause not only waste of a large amount of resources but also serious, irreversible pollution of the ecological environment and water environment. Thereby, some researchers and technologists have exerted a large amount of effort to find novel and efficient methods for HPWL treatment and disposal and resource treatment and utilization, e.g., distillation, − high temperature roasting/pyrohydrolysis, , crystallization, , solvent extraction, − electrolysis, − ion-exchange/acid-retardation methods, electrodialysis/membrane separation/diffusion dialysis, ,− a microwave-hydrothermal method, selective carbochlorination, adsorption, neutralization/precipitation, flocculant production for water treatment, − iron pigment production, ferrite production, , nanosized iron oxide production, − Fe 3 O 4 magnetic powder production, − and schwertmannite@akaganeite core/shell nanostructure production …”

Section: Introductionmentioning

confidence: 99%

Composition and Leaching Toxicity of Hydrochloric Acid Pickling Sludge Generated from the Hot-Dip Galvanized Steel Industry

Zhang

Shu

et al. 2022

ACS Omega

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Steel hydrochloric acid pickling sludge (SHPS), containing the heavy metals Fe, Zn, and Ni and a high chloride salt content, is considered a type of hazardous solid waste because of its potential harm to human health and the environment. In addition, the SHPS yield is large, but the main treatment currently used is only safe for landfills. Although studying the composition and leaching toxicity of SHPS is of great importance, only a small amount of related literature is available. This paper can help compensate for this deficiency. SHPS is analyzed from the aspects of its formation mechanism, pH, moisture content, elemental concentration, phase composition, microstructure, and leaching toxicity. The results show that its pH ranges from 2.25 to 11.11, and the moisture content ranges from 45.47% to 83.34%. Additionally, the concentration of Fe is the highest, with values from 29.80% to 50.65%, while other alkali metal elements, namely, Ca, K, and Na, have values of 0.36% to 23.07%, 0.02% to 19.82%, and 0.38% to 3.31%, respectively. Heavy metal elements, namely, Zn, Ni, Mn, Cr, and Pb, have values of 0.02% to 14.88%, 0.001% to 0.05%, 0.03% to 0.38%, 0.01% to 0.09%, and 0.02% to 0.19%, respectively. Anions, namely, SO 4 2– , Cl – , F – , and NO 3 – , have contents of 0.09% to 0.34%, 0.54% to 5.73%, 0.001% to 0.04%, and 0.01% to 0.15%, respectively. X-ray diffraction (XRD) analysis shows that Fe and Zn are mainly present in oxides, Ca is present as CaO and CaCO 3 , and chlorine is present in NaCl. Moreover, scanning electron microscopy (SEM) analysis shows that the microscopic structure consists mainly of bright and fluffy irregular spheres; stripes; flakes; and dark, very small irregular particles. The leaching toxicity test based on HJ/T 299-2007 (China) was performed, where SHPS samples were treated with a mixed solution of sulfuric acid, nitric acid, and pure water (pH = 3.20 ± 0.05) at a liquid-to-solid ratio of 10:1 for a period of 18 h. The leachate was filtered and analyzed for Cr, Ni, Mn, Zn, etc. The leaching results indicate that Zn and Ni are the main elements that cause SHPS to be hazardous to the environment. These research results can provide a reference for later researchers studying the effective treatment of SHPS, such as more effective treatments for reducing toxicity and resource utilization.

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Research on extraction of zinc from spent pickling solution using Aliquat 336

Cited by 28 publications

References 18 publications

Highly selective solvent extraction of Zn(II) and Cr(III) with trioctylmethylammonium chloride ionic liquid

Highly selective solvent extraction of Zn(II) and Cr(III) with trioctylmethylammonium chloride ionic liquid

Research on Information Extraction of the Dongting Lake Ecological Wetland Based on Genetic Algorithm Optimized Convolutional Neural Network

Composition and Leaching Toxicity of Hydrochloric Acid Pickling Sludge Generated from the Hot-Dip Galvanized Steel Industry

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