Detection of Fenthion Content by LIBS Combined with Internal Standard and CARS Variable Selection Method

LIU Jin; SUN Tong; GAN Lan-ping

doi:10.3788/fgxb20183905.0737

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Detection of Fenthion Content by LIBS Combined with Internal Standard and CARS Variable Selection Method

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- Detection of Fenthion Content by LIBS Combined with Internal Standard and CARS Variable Selection Method
- Chinese Journal of Luminescence Vol. 39, Issue 5, Pages: 737-744(2018)
- 作者机构：
  
  1. 江西农业大学工学院江西省高校生物光电技术及应用重点实验室, 江西南昌 330045
  2. 江西省果蔬采后处理关键技术及质量安全协同创新中心, 江西南昌 330045
- 作者简介：
- 基金信息：
  
  Supported by National Natural Science Foundation of China (31401278);Natural Scien
- DOI：10.3788/fgxb20183905.0737
  CLC： O657.3
- Received：28 August 2017，
  
  Revised：05 December 2017，
  
  Published Online：05 January 2018，
  
  Published：05 May 2018
- 稿件说明：
移动端阅览
刘津, 孙通, 甘兰萍. 基于内标法和CARS变量优选的倍硫磷含量LIBS检测[J]. 发光学报, 2018,39(5): 737-744

LIU Jin, SUN Tong, GAN Lan-ping. Detection of Fenthion Content by LIBS Combined with Internal Standard and CARS Variable Selection Method[J]. Chinese Journal of Luminescence, 2018,39(5): 737-744
刘津, 孙通, 甘兰萍. 基于内标法和CARS变量优选的倍硫磷含量LIBS检测[J]. 发光学报, 2018,39(5): 737-744 DOI： 10.3788/fgxb20183905.0737.

LIU Jin, SUN Tong, GAN Lan-ping. Detection of Fenthion Content by LIBS Combined with Internal Standard and CARS Variable Selection Method[J]. Chinese Journal of Luminescence, 2018,39(5): 737-744 DOI： 10.3788/fgxb20183905.0737.

摘要

利用共线双脉冲激光诱导击穿光谱（LIBS）技术对溶液中的倍硫磷含量进行定量检测研究。采用石墨对倍硫磷溶液进行富集，利用双通道高精度光谱仪获取样品的LIBS光谱。以碳元素谱线（CⅠ247.856 nm）为内标对210~260 nm波段谱线进行校正，然后利用竞争性自适应重加权算法（CARS）筛选与倍硫磷相关的重要波长变量，最后应用最小二乘支持向量机（LSSVM）建立倍硫磷含量的定标模型，并与基本定标法及内标法建立的单变量定标模型进行比较。研究结果表明，共线双脉冲LIBS技术可以用于溶液中的倍硫磷含量检测。基本定标法建立的最优定标模型的拟合度

为0.935 04，预测集样品的平均预测相对误差（PRE）为41.50%；内标法建立的最优单变量定标模型的拟合度

为0.993 61，预测集样品的平均PRE为14.91%；内标-CARS-LSSVM定标模型的拟合度

为0.998 6，预测集样品的平均PRE为8.06%。对比上述3类定标模型，内标-CARS-LSSVM定标模型性能最优，内标法建立的定标模型次之，而基本定标法建立的定标模型最差。由此可知，CARS方法可以有效筛选倍硫磷相关的重要变量，内标法结合CARS及LSSVM方法可以改善定标模型性能，提高预测精度。

Abstract

The col-linear double pulse laser induced breakdown spectroscopy(Laser induced breakdown spectroscopy

LIBS) technology was used to detect fenthion in solution. The fenthion solution was enriched with graphite. The LIBS spectra of samples were obtained by double channel high-precision spectrometer. The carbon spectral line(C Ⅰ 247.856 nm) was used as internal standard to adjust spectral line of 210-260 nm. Then

the competitive adaptive reweighted sampling(Competitive adaptive reweighted sampling

CARS) was used to screen important variable wavelengths which related to fenthion. Finally

the least squares support vector machine(Least squares support vector machine

LSSVM) was used to establish the calibration model of fenthion

and the model was compared with the standard calibration model which established by the basic calibration method and the internal standard method. The results show that the col-linear double pulse LIBS technique can be used to detect the content of fenthion in solution. Optimum calibration model's fitting degree

of basic calibration method is 0.935 04. The prediction relative error(Prediction relative error

PRE) of prediction samples is 41.50%. While fitting degree

of internal standarad method is 0.993 61

and PRE of prediction samples is 14.91%. What's more

fitting degree

of internal standard and CARS-LSSVM method is 0.998 6

and PRE of prediction samples is 8.06%. Comparing the three types of calibration models

it can be found that the internal standard and CARS-LSSVM calibration model has the best performance. The calibration model which established by internal standard method is second. And the calibration model which established by the basic calibration method is the worst. It can be seen that the CARS method can effectively screen the important variables which related to fenthion. Internal standard method combined with CARS and LSSVM methods can improve calibration model's performance and improve the accuracy of predicting.

关键词

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