摘要
为提高激光诱导击穿光谱技术(LIBS)对水中重金属元素含量的检测精确度,将LIBS技术分别与单变量定标(SVCC)和偏最小二乘法(PLS)分析方法相结合,对Cr、Mn、Ca混合水溶液中的金属元素进行了定量分析。利用PLS-LIBS技术研究了样品中共存元素对分析元素的影响,研究结果表明分析元素的检测精确度受共存元素的影响较大,将共存元素与分析元素的分析线强度同时作为PLS模型的输入变量,得到的分析元素浓度总预测相对误差明显减小。利用SVCC-LIBS方法检测Cr、Mn、Ca元素的浓度总预测相对误差分别为14.3%、8.46%、6.35%,而利用PLS-LIBS方法各相对误差分别改善至2.30%、0.74%、0.03%,其中Mn元素的浓度预测相关曲线线性度R 2由SVCC-LIBS方法的0.985改善至0.999,表明PLS-LIBS技术能有效提高混合水溶液中微量金属元素的检测精确度。
To improve the detection accuracy of laser-induced breakdown spectroscopy(LIBS)for heavy metal elements in water,LIBS technique is combined with single variable calibration curve(SVCCLIBS)method and partial least squares regression(PLS-LIBS)method respectively to quantitative analyze Cr,Mn,and Ca in mixed aqueous solutions.The influence of coexisting elements on the detection accuracy of analytical elements is studied by PLS-LIBS.The results show that the detection accuracy of analytical elements is greatly influenced by coexisting elements,and the total relative errors of the prediction of the analyzed element concentrations are significantly reduced when the analytical line intensities of analytical elements and coexisting elements are taken as the input variables of PLS model.The total relative errors of concentration prediction of Cr,Mn,and Ca elements obtained by SVCCLIBS method are 14.3%,8.46%,and 6.35%respectively,while the relative errors of PLS-LIBS method are improved to 2.30%,0.74%,and 0.03%,respectively.The linearity R 2 of the concentration prediction correlation curve for Mn element is improved from 0.985 for SVCC-LIBS method to 0.999 for PLSLIBS method.The research results indicate that the PLS-LIBS method can effectively improve the detection accuracy of trace metal elements in mixed aqueous solutions.
作者
徐鹏
贾韧
姚关心
秦正波
郑贤锋
杨新艳
崔执凤
XU Peng;JIA Ren;YAO Guanxin;QIN Zhengbo;ZHENG Xianfeng;YANG Xinyan;CUI Zhifeng(College of Physics and Electronic Information,Anhui Normal University,Wuhu 241002,China;Key Laboratory of Photoelectric Materials Science and Technology of Anhui Province,Wuhu 241002,China)
出处
《量子电子学报》
CAS
CSCD
北大核心
2022年第4期485-493,共9页
Chinese Journal of Quantum Electronics
基金
国家自然科学基金(11074003,61805002,61475001)
安徽省重点研发计划(1804a0802193)。
关键词
光谱学
激光诱导击穿光谱
混合水溶液
金属元素
偏最小二乘法
共存元素
检测精确度
spectroscopy
laser-induced breakdown spectroscopy
mixed aqueous solution
metal element
partial least-squares regression
coexisting element
detection accuracy
