基于最小二乘支持向量机的辣椒可溶性固形物和维生素C含量近红外光谱检测  

Determination of soluble solid contents and vitamin C of fresh peppers based on NIR spectrometry and least square support vector machines

作　　者：刘燕德[1] 周延睿[1] 潘圆媛[1] 

机构地区：[1]华东交通大学机电工程学院,江西南昌330013

出　　处：《光学精密工程》2014年第2期281-288,共8页Optics and Precision Engineering

基　　金：科技部农业科技成果转化资金资助项目(No.2011GB2C500008);国家863高技术研究发展计划资助项目(No.2012AA101906);赣鄱英才555工程领军人才培养计划资助项目(No.2011-64);赣鄱英才555工程高端柔性人才引进计划资助项目;江西省光电检测工程技术研究中心资助项目(赣科发财字[2012]155号)

摘　　要：应用傅里叶变换近红外光谱技术实现了鲜辣椒中可溶性固形物(SSC)和维生素C(Vc)含量的快速无损检测。分别采用7种预处理方法对原始光谱进行处理后,建立了SSC和Vc预测的偏最小二乘法(PLS)模型。将利用最小二乘法(PLS)提取的主成分(PC)和蒙特卡罗无信息变量消除法(MC-UVE)提取的有效波长作为最小二乘支持向量机(LSSVM)的输入变量,分别建立了PC-LS-SVM和MC-UVE-LS-SVM模型,并与MC-UVE-PLS模型进行了比较。采用优化后的模型对27个预测集未知样品进行了预测。结果表明,对鲜辣椒中SSC含量预测最优的为MC-UVE-PLS模型,其预测集相关系数(rp)为0.971,预测集均方根误差(RMSEP)为0.382°Brix;对鲜辣椒中Vc含量预测最优的为MCUVE-LS-SVM模型,其rp为0.899,RMSEP为21.022mg/100g。研究结果表明:鲜辣椒中SSC和Vc的含量与近红外光谱具有显著的相关性。Fourier transform Near-infrared（NIR） spectroscopy was applied to the fast and nondestruc tive determination of Soluble Solid Contents （SSC） and Vitamin C （Vc） contents in fresh peppers.Seven kinds of pretreatment methods were used to the original spectral processing and the predicted Partial Least Square （PLS） models of SSC and Vc were established.The Principal Components （PC） selected by PLS and effective wavelengths selected by Monte Carlo Uninformative Variable Elimination （MC UVE） method were used as the inputs of Least Square Support Vector Machine （LS-SVM）,the PC LS-SVM and MC-UVE LS-SVM models were developed,and they were compared with the MC-UVE PLS models.Twenty seven unknown samples were predicted using the optimized models.The results show that MC-UVE PLS model obtains the best result for SSC prediction with a correla tion coefficient of prediction （rp） of 0.971 and Root Mean Square Error of Prediction （RMSEP） of 0.382 °Brix.The MC-UVE-LS-SVM model obtains the best result for Vc content prediction with rp of 0.899 and RMSEP of 21.022 mg/100 g.The research results indicate that SSC and Vc contents in fresh peppers have a significant correlation with the NIR spectroscopy.

关 键 词：近红外光谱 最小二乘支持向量机 鲜辣椒 可溶性固形物 维生素C 

分 类 号：O657.33[理学—分析化学] S123[理学—化学]