应用近红外光谱对老陈醋进行定性定量的检测研究

Research on Qualitative and Quantitative Detection of Mature Vinegar by Near Infrared Spectroscopy

利用近红外光谱结合DA和PLS算法在不同光谱预处理方法下,对山西老陈醋醋龄进行定性判别分析,并建立陈醋可溶性固形物(SSC)及pH值的定量模型。结果表明:原始光谱、5点平滑以及SNV校正建立的DA模型性能良好,校正集判别正确率为100%,预测集判别正确率为88.89%;原始光谱建立的可溶性固形物的PLS定量模型最优,校正集和预测集的相关系数r分别为0.99988和0.99960,RMSEC,RMSEP和RMSECV分别为0.0421,0.0911和0.0777;5点平滑建立的pH值的PLS定量模型最优,校正集和预测集的相关系数r分别为0.99733和0.97411,RMSEC,RMSEP和RM-SECV分别为0.0151,0.0386和0.0468。

Research on qualitative and quantitative detection of Shanxi mature vinegar is based on Near Infrared Spectroscopy. Near Infrared Spectroscopy combined with Discriminant Analysis （DA） is used for vinegar age through different pre-processing methods. At the same time, it will establish the Partial Least Squares （PLS） model of Soluble Solids Content （SSC） and the effective acidity （pH）. The result indicates that 100% recognition ratio for calibration and 88.89% recognition ratio for validation are achieved by DA for vinegar age. PLS quantitative model of SSC established by original spectrosco- py is the best, the correlation coefficients of calibration and prediction are 0. 99988 and 0. 99960 respectively, RMSEC, RMSEP and RMSECV are 0. 0421, 0. 0911 and 0. 0777 respectively; PLS quantitative model of the effective acidity （pH） by 5 points smooth have a better result, the correlation coefficients of calibration and prediction are 0.99733 and 0. 97411 respectively, RMSEC, RMSEP and RMSECV are 0.0151, 0.0386 and 0. 0468 respectively.