作者：庄秀梅1, 谭海军1, 秦文忠2, 陈硕1, 胡振光1
作者单位：1. 桂林理工大学化学与生物工程学院，广西 桂林 541006;
2. 中铝广西有色稀土开发有限公司，广西 南宁 530012
关键词：锰矿石;酸溶法;样品消解;ICP-OES;多元素测定
摘要：
采用硝酸-盐酸-氢氟酸-高氯酸对锰矿进行高压密闭消解；利用ICP-OES同时测定锰矿中的Mn、Al、Fe、Ca、Mg、Na、Ti、Ba、Zn元素；建立一套高效准确的锰矿成分含量分析方法，为锰矿资源利用提供有价值的基础数据。通过研究不同消解方式、基体效应、硝酸酸度和共存元素对实验的影响并消除干扰，测定方法检出限、加标回收和精密度，以验证方法准确度。实验结果表明，在选定的条件下，方法检出限为
Research of simultaneous determination of multi-elements in poor manganese ore by ICP-OES
ZHUANG Xiumei1, TAN Haijun1, QIN Wenzhong2, CHEN Shuo1, HU Zhenguang1
1. School of Chemistry and Biological Engineering, Guilin University of Technology, Guilin 541006, China;
2. China Aluminum Guangxi Nonferrous Rare Earth Development Co., Ltd., Nanning 530012, China
Abstract: Manganese ore was digested by nitric acid - hydrochloric acid - hydrofluoric acid - perchloric acid under high pressure. The elements of Mn, Al, Fe, Ca, Mg, Na, Ti, Ba and Zn in manganese ore were determined by ICP-OES. To establish a set of efficient and accurate analysis method of manganese ore composition content, and provide valuable basic data for the utilization of manganese ore resources. By studying the influence of different digestion methods, matrix effect, acidity of nitric acid and coexisting elements on the experiment and eliminating the interference; The detection limit, labeled recovery and precision of the method were measured to verify the accuracy of the method. The results showed that under the selected conditions, the detection limits were
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mg/L, the recoveries were 92.5%-108.0%, and the relative standard deviations (RSDs, n=10) were 0.20%-1.32%.The experimental method has the advantages of low detection limit, wide linear range, high accuracy, simple and quick operation, which can meet the requirements of multi-element content determination and method error analysis in manganese ore.
Keywords: manganese ore;acid solution method;sample digestion;ICP-OES;multi-element determination
2021, 47(10):75-79 收稿日期: 2020-11-19;收到修改稿日期: 2021-02-06
基金项目:
作者简介: 庄秀梅（1994-），女，广西贺州市人，硕士研究生，专业方向为有色金属固废资源化利用
参考文献
[1] 张歌, 刘叶楠, 段宁, 等. 高压密闭消解-电感耦合等离子体质谱法测定锰矿石中钛钒锶[J]. 冶金分析, 2014, 34(12): 39-43
[2] 杨开放. ICP-OES常见干扰类型及校正方法探讨[J]. 化学分析计量, 2016, 25(3): 73-76
[3] 王红丽. ICP-AES测定锰矿中的微量元素[J]. 江西科学, 2010, 28(6): 810-813
[4] 单强, 王学云, 杜建民, 等. ICP-AES法测定锰矿中多种组分[J]. 金属世界, 2007(3): 43-45
[5] 王艳君, 蒋晓光, 赵旭东, 等. ICP-AES法测定锰矿石中的次要元素含量[J]. 中国锰业, 2013, 31(3): 32-35
[6] 邓全道, 许光, 林冠春, 等. 微波消解-耐氢氟酸系统进样电感耦合等离子体发射光谱法测定锰矿中铝磷镁铁锌镍[J]. 冶金分析, 2011, 31(1): 35-39
[7] 宁海龙, 王东, 王伟. ICP-AES法测定锰矿中二氧化硅含量的不确定度评定[J]. 广州化工, 2014, 42(1): 95-97+106
[8] 董礼男, 朱春要, 周强, 等. ICP-AES法测定铬酸盐体系半无机涂层液中磷、铝、铁、镁、锌的含量[J]. 中国测试, 2019, 45(10): 62-65+134
[9] 严倩琳. 微波消解-ICP-AES法测定铬铁矿中六元素含量[J]. 铁合金, 2018, 49(5): 43-48
[10] 李玉清, 陆垒. ICP-AES法测定铝锰合金中的铝锰硅磷含量[J]. 云南冶金, 2009, 38(3): 47-49
[11] 胡艳巧, 程文翠, 支云川, 等. 四酸溶矿-电感耦合等离子体发射光谱法测定铬铁矿中多种元素[J]. 分析试验室, 2016, 35(11): 1312-1316
[12] 薛泽春, 李连之, 刘颖, 张宪玺. ICP-AES测定赤泥中的16种元素[J]. 光谱实验室, 2012, 29(5): 3092-3095
[13] 吴伟明. 赤泥矿中的稀土元素测定方法的研究[J]. 有色金属科学与工程, 2011, 2(3): 76-79
[14] KENNETH N. How to choose the correct wavelength in ICP-OES[J]. Spectroscopy, 2019, 34(8): 24-26
