A new method to determine composition of sphalerite without secondary pollution based on CIELAB color space

Author:

Liu Yong1,Duan Ning23,Jiang Linhua23,He Hongping4,Cheng Han2,Liao Jiaqi2,Xu Yanli2,Cheng Wen2,Chen Ying2,Zhu Guangbin5,Xu Fuyuan23ORCID

Affiliation:

1. School of Materials Science and Engineering Anhui University of Science & Technology Huainan Anhui China

2. State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering Tongji University Shanghai China

3. Shanghai Institute of Pollution Control and Ecological Security Shanghai China

4. College of Chemistry and Environmental Engineering Shenzhen University Shenzhen China

5. School of Environmental Science and Engineering Tianjin University Tianjin China

Abstract

AbstractCurrently, most of the methods for mineral materials analysis generate secondary pollution, which is detrimental to human health. For instance, traditional methods for sphalerite analysis in the zinc (Zn) smelting industry including chemical titration, atomic absorption spectrometry, and inductively coupled atomic emission spectroscopy. Colored indicators and toxic heavy metals are used in the analytical processes, causing severe pollution. For some methods, liquid is transformed into gaseous plasma, which is more dangerous to human health. Due to large quantities of sphalerite being used, secondary pollution cannot be ignored. This study proposes a green analysis method for the detection of sphalerite based on colorimetry, which does not generate secondary pollution. The results show that the strong substitution ability of iron (Fe) for Zn contributes to their inverse correlation in contents. The lattice parameters decrease with the increasing Fe content, resulting in a darker coloration. Here, key colorimetry parameters of L*, a*, and b* show clear linear correlations with the Zn and Fe contents. Compared with traditional approaches, this new method is environmental friendly with high sensitivity and accuracy. The relative error and relative standard deviation were less than 10% and 5%, respectively. This study provides a significant reference for nonpollution determination of other mineral materials.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

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