激光与光电子学进展, 2016, 53 (4): 043001, 网络出版: 2016-03-25   

大豆油中铬元素含量的激光诱导击穿光谱检测

Detection of Chromium Content in Soybean Oil by Laser-Induced Breakdown Spectroscopy
作者单位
1 江西农业大学生物光电技术及应用重点实验室, 江西 南昌 330045
2 江西出入境检验检疫局综合技术中心, 江西 南昌 330038
摘要
采用激光诱导击穿光谱(LIBS)技术对大豆油中的铬(Cr)含量进行检测研究。以一系列Cr 含量不同的大豆油为样本,采用AvaSpec 双通道高精度光谱仪在206.28~481.77 nm 波段范围内采集LIBS 光谱。根据样本的LIBS 谱线图,确定Cr 元素的主要特征谱线,并对Cr 元素主要特征谱线应用线性回归或最小二乘支持向量机(LS-SVM)方法建立其单变量、二变量及多变量校正模型。利用建立的校正模型对样本Cr 含量进行预测。研究结果表明,二变量及多变量校正模型的性能优于单变量校正模型,LS-SVM 建立的多变量校正模型性能最优。对于单变量及二变量校正模型,预测样本的平均相对误差(RE)分别为14.16%和11.58%;而对于线性回归及LS-SVM 建立的多变量校正模型,预测样本的平均RE 分别为10.95%和4.97%。由此可见,LIBS 技术检测大豆油中的重金属Cr 含量具有一定的可行性,LS-SVM 方法可以有效提高校正模型的预测精度。
Abstract
Laser-induced breakdown spectroscopy (LIBS) is used to detect chromium content in soybean oil. A series of soybean oil samples with different chromium concentrations are used, and an AvaSpec two-channel spectrometer is used to acquire spectra of samples in the wavelength range of 206.28~481.77 nm. According to the LIBS spectra, several primary characteristic spectral lines of the Cr element are confirmed, then linear regression or least squares support vector machine (LS-SVM) method is used to develop univariate, bivariate and multivariate calibration models. Cr content of the samples is predicted by these calibration models. The results indicate that the performance of bivariate and multivariate calibration models is superior to that of the univariate calibration model, and the performance of the multivariate calibration model developed by LS-SVM is the best. The average relative error (RE) of sample prediction results in univariate and bivariate calibration models is 14.16% and 11.58%, respectively. The average RE of sample prediction in multivariate calibration models developed by linear regression and LS-SVM is 10.95% and 4.97%, respectively. According to these results, the LIBS technique has some feasibility to detect Cr content in soybean oil, and the LS-SVM method can improve the prediction accuracy of calibration models effectively.

吴宜青, 孙通, 刘秀红, 莫欣欣, 刘木华. 大豆油中铬元素含量的激光诱导击穿光谱检测[J]. 激光与光电子学进展, 2016, 53(4): 043001. Wu Yiqing, Sun Tong, Liu Xiuhong, Mo Xinxin, Liu Muhua. Detection of Chromium Content in Soybean Oil by Laser-Induced Breakdown Spectroscopy[J]. Laser & Optoelectronics Progress, 2016, 53(4): 043001.

本文已被 5 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!