基于半球形约束结合PLS的土壤重金属LIBS检测研究

量子电子学报

基于半球形约束结合PLS的土壤重金属LIBS检测研究

余洋1，赵南京2*，孟德硕2，马明俊2，兰智高1

1黄冈师范学院物理与电信学院，湖北黄冈 438000 2中国科学院安徽光学精密机械研究所环境光学与技术重点实验室，安徽合肥 230031

出版日期:2019-01-28 发布日期:2019-01-17
通讯作者: njzhao@aiofm.ac.cn
作者简介:余洋（1988-），男，湖北黄冈，博士，讲师，主要从事激光诱导击穿光谱应用的研究。E-mail:yuyang@hgnu.edu.cn
基金资助:
Supported by Special Project of Knowledge Innovation of Hubei Province(湖北省知识创新专项,2018CFC862)，The National Nature Science Foundation of China( 国家自然科学基金,61705238)，the National High Technology Research and Development Program of China(国家高技术研究发展计划,2014AA06A513），Major Special Project of Science and Technology of Anhui Province(安徽省科技重大专项,16030801117）,Key task Project of Science and Technology of Anhui Province(安徽省科技攻关项目,1501041119）

Detection Research of LIBS on Heavy metals in Soil Based on Hemispherical Constraint and PLS

YU Yang1， ZHAO Nan-jing2 ， MENG De-shuo2 ， MA Ming-jun2， LAN Zhi-gao1

( 1 School of Physics and Electronic Information, Huang Gang Normal College, Huang Gang, Hu Bei, 438000 ,China) ( 2 Key Laboratory of Environmental Optics and Technology , Anhui Institute of Optics and Fine Mechanics , Chinese Academy of Sciences , Hefei 230031,China)

Published:2019-01-28 Online:2019-01-17

摘要/Abstract

摘要： 为了提高土壤重金属LIBS光谱稳定性和定量反演准确性，设计了半球形空间约束结构，研究了重金属LIBS光谱相对标准偏差和预测相对误差。采用多次平均和内标法对光谱数据进行处理，增加脉冲次数和内标法使光谱RSD分别降低1.59％和3.65％，提高了光谱稳定性。对比分析了单变量和PLS方法下样品浓度的预测相对误差（REP），四条特征谱线CrⅠ:357.869 nm、CrⅠ:359.349 nm、CrⅠ:425.435 nm和CrⅠ:427.480 nm单变量方法对样品的REP分别为9.42％、8.43％、6.16％和7.79％，4种变量组合下PLS对样品的REP分别为3.70％、4.10％、4.83％和4.67％。PLS方法最大使得样品REP减小5.72％，提高了定量反演的准确性。以上研究结果为提高土壤重金属LIBS分析能力提供了数据和方法支持。

关键词: 土壤重金属, 激光诱导击穿光谱, 半球形约束, 偏最小二乘法, 定量研究

Abstract: In order to improve spectral stability and quantitative inversion accuracy of heavy metal in soil by LIBS, hemispherical space constraint structure has been designed, the relative standard deviation(RSD) and relative error of prediction(REP) of LIBS of heavy metals are studied. Multiple average and internal standard method are used to process spectral data, the RSD of spectrum has been reduced 1.59% and 3.65% respectively by increasing the number of pulses and internal standard method , and the spectral stability has been improved. The relative error of prediction (REP) of sample concentration is comparatively analyzed under univariate and PLS method , REP of univariate method of four characteristic spectral lines Cr I: 357.869 nm, Cr I: 359.349 nm, Cr I: 425.435 nm and Cr I: 427.480 nm are 9.42%、8.43%、6.16% and 7.79% respectively, the REP of PLS under four variable combination are 3.70%、4.10% 、4.83% and 4.67% respectively. The REP of sample is reduced 5.72% by PLS method, and the accuracy of quantitative inversion is improved .The above research results provide data and method support for improving analytical ability of LIBS of heavy metals in soil.

Key words: heavy metal in soil, laser-induced breakdown spectroscopy, hemispherical constraint, partial least squares;quantitative research

余洋1，赵南京2*，孟德硕2，马明俊2，兰智高1. 基于半球形约束结合PLS的土壤重金属LIBS检测研究[J]. 量子电子学报.

YU Yang1， ZHAO Nan-jing2,MENG De-shuo2,MA Ming-jun2， LAN Zhi-gao1. Detection Research of LIBS on Heavy metals in Soil Based on Hemispherical Constraint and PLS[J]. Chinese Journal of Quantum Electronics.

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