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A new method to determine composition of sphalerite without secondary pollution based on CIELAB color space
SusMat ( IF 18.7 ) Pub Date : 2023-10-06 , DOI: 10.1002/sus2.161 Yong Liu 1 , Ning Duan 2, 3 , Linhua Jiang 2, 3 , Hongping He 4 , Han Cheng 2 , Jiaqi Liao 2 , Yanli Xu 2 , Wen Cheng 2 , Ying Chen 2 , Guangbin Zhu 5 , Fuyuan Xu 2, 3
SusMat ( IF 18.7 ) Pub Date : 2023-10-06 , DOI: 10.1002/sus2.161 Yong Liu 1 , Ning Duan 2, 3 , Linhua Jiang 2, 3 , Hongping He 4 , Han Cheng 2 , Jiaqi Liao 2 , Yanli Xu 2 , Wen Cheng 2 , Ying Chen 2 , Guangbin Zhu 5 , Fuyuan Xu 2, 3
Affiliation
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Currently, 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.
中文翻译：
基于CIELAB颜色空间的无二次污染闪锌矿成分测定新方法
目前大多数矿物材料分析方法都会产生二次污染，不利于人体健康。例如，锌（Zn）冶炼行业中闪锌矿分析的传统方法包括化学滴定法、原子吸收光谱法和电感耦合原子发射光谱法。分析过程中使用有色指示剂和有毒重金属，造成严重污染。对于某些方法，液体会转化为气态等离子体，这对人体健康更加危险。由于闪锌矿的大量使用，二次污染不容忽视。本研究提出了一种基于比色法检测闪锌矿的绿色分析方法，不产生二次污染。结果表明，铁（Fe）对Zn的较强替代能力导致它们的含量呈负相关。晶格参数随着Fe含量的增加而减小，导致颜色变深。此处，L*、a* 和 b* 的关键比色参数与 Zn 和 Fe 含量显示出明显的线性相关性。与传统方法相比，这种新方法环境友好、灵敏度高、准确度高。相对误差和相对标准偏差分别小于10%和5%。该研究为其他矿物材料的无污染测定提供了重要参考。
更新日期：2023-10-06
中文翻译：
基于CIELAB颜色空间的无二次污染闪锌矿成分测定新方法
目前大多数矿物材料分析方法都会产生二次污染，不利于人体健康。例如，锌（Zn）冶炼行业中闪锌矿分析的传统方法包括化学滴定法、原子吸收光谱法和电感耦合原子发射光谱法。分析过程中使用有色指示剂和有毒重金属，造成严重污染。对于某些方法，液体会转化为气态等离子体，这对人体健康更加危险。由于闪锌矿的大量使用，二次污染不容忽视。本研究提出了一种基于比色法检测闪锌矿的绿色分析方法，不产生二次污染。结果表明，铁（Fe）对Zn的较强替代能力导致它们的含量呈负相关。晶格参数随着Fe含量的增加而减小，导致颜色变深。此处，L*、a* 和 b* 的关键比色参数与 Zn 和 Fe 含量显示出明显的线性相关性。与传统方法相比，这种新方法环境友好、灵敏度高、准确度高。相对误差和相对标准偏差分别小于10%和5%。该研究为其他矿物材料的无污染测定提供了重要参考。
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