In the present study, a selective leaching process of zinc from a low-grade carbonate source is proposed by the use of a green lixiviant, namely glycine. Response surface methodology (RSM) coupled with central composite design (CCD), was applied to optimize the levels of glycine concentration, pH and temperature and to quantify the significance of the factors and the interactions among them. Under optimum conditions, glycine concentration = 1.5 M, pH = 9.5 and temperature = 70 ℃, more than 90% of zinc was leached while the leaching percentages of main impurities were negligible. Finally, zinc was removed from the leaching solution through the precipitation process by Na₂S solution in the form of ZnS. The thermodynamic aspect of the leaching process was elucidated and it was attempted to justify the results obtained from statistical modeling.

在本研究中，提出了一种使用绿色浸出剂甘氨酸从低品位碳酸盐来源中选择性浸出锌的工艺。响应面法 (RSM) 与中心复合设计 (CCD) 相结合，用于优化甘氨酸浓度、pH 和温度的水平，并量化因素的重要性和它们之间的相互作用。在最佳条件下，甘氨酸浓度=1.5 M，pH=9.5，温度=70 ℃，90%以上的锌被浸出，而主要杂质的浸出率可忽略不计。最后，通过Na _{2的沉淀过程从浸出液中去除锌。}以 ZnS 形式存在的 S 溶液。阐明了浸出过程的热力学方面，并试图证明从统计建模中获得的结果是正确的。