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基于多元定标法的脐橙Pb元素激光诱导击穿光谱定量分析∗

陈添兵 姚明印 刘木华 林永增 黎文兵 郑美兰 周华茂

物理学报Issue(10):1-6,6.
物理学报Issue(10):1-6,6.DOI:10.7498/aps.63.104213

基于多元定标法的脐橙Pb元素激光诱导击穿光谱定量分析∗

Quantitative analysis of laser induced breakdown sp ectroscopy of Pb in navel orange based on multivariate calibration

陈添兵 1姚明印 1刘木华 1林永增 1黎文兵 1郑美兰 1周华茂1

作者信息

  • 1. 江西农业大学工学院,江西省高校生物光电及应用重点实验室,南昌 330045
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摘要

Abstract

The detection accuracy of laser induced breakdown spectroscopy (LIBS) is affected by system parameters, ambient gas, matrix effect, sample morphology, calibration methods etc. Heavy metals in Gannan navel orange are determined by LIBS in our laboratory. The experimental parameters are optimized. In this work, multivariate linear regression model is used to predict the concentration of Pb element in navel oranges. The real concentration of Pb is quantitatively determined by atomic absorb spectroscopy (AAS). The concentration is set as dependent variable, while the intensity of Pb I 405.78 nm, the intensity sum of Ca II 393.37 nm and Ca II 396.84 nm, and the integrated intensity in a range of 405.03–405.96 nm are taken as independent variable. The calibration results indicate that the maximum relative error between the predicted Pb concentration from the multiple linear regression model and the measured one by the AAS is 12.99%, and the average relative error of the samples is 4.87%. And the fitting degree of the results of two methods is 0.995. The result shows that the multivariate calibration method can utilize the information about the spectra and reduce the influence of the matrix effect. The multivariate linear regression model is proved to be feasible in improving the prediction accuracy of LIBS.

关键词

激光诱导击穿光谱/脐橙/重金属/多元线性回归

Key words

laser induced breakdown spectroscopy/navel orange/heavy metals/multiple linear regression

引用本文复制引用

陈添兵,姚明印,刘木华,林永增,黎文兵,郑美兰,周华茂..基于多元定标法的脐橙Pb元素激光诱导击穿光谱定量分析∗[J].物理学报,2014,(10):1-6,6.

基金项目

国家自然科学基金(批准号:31271612)、江西省教育厅科技计划(批准号:CJJ12249)和江西省学术带头人计划(批准号:09004004)资助的课题.@@@@ Project supported by the National Natural Science Foundation of China (Grant No.31271612), the Science and Technology Program of Education Bureau of Jiangxi Province, China (Grant No. CJJ12249), and the Science Discipline Leaders Program of Jiangxi Province, China (Grant No.09004004) (批准号:31271612)

物理学报

OA北大核心CSCDCSTPCDSCI

1000-3290

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