Study on Brand Identification of Monosodium Glutamate Using Sensitive Wavelengths of Shortwave Near Infrared Spectroscopy
Monosodium glutamate (MSG) is a worldwide flavor enhancer. It is well known that to some extant,the brand stands for the quality of the products. Short-wave near-infrared spectroscopy (SWNIR) technique was appliedIn This study. The objectives ofThis study were to investigate the feasibility of using SWNIR spectroscopy to discriminate different brands of MSG,and to validate the performance of selected sensitive ebands. 66 MSG samples were randomly selected for the calibration set,while the remaining 134 samples for the prediction set.Smoothing way of moving average and standard normal variate (SNV) were used as pretreatments. Based on principal components analysis,2-D principal components plot was clustered well. Least-squares support vector machines (LS-SVM)was applied to brand identification based on absorbance spectra from 800nm to 1050nm. Finally,recognition ratio of 99％ was obtained. Sensitive bands,900 and 968 nm,were obtained by loading weights and regression coefficientsInpartial least squares. The prediction results of 99％ indicated that the selected wavelengths reflected the main characteristics of MSG of different brands based on SWNIR spectroscopy and LS-SVM model.
Xiaojing Chen Di WU Shuijuan Feng Yong He Shou Liu
Department of Physics,Xiamen University,Xiamen,361005 China College of Biosystems Engineering and Fo College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou 310029,China Department of Physics,Xiamen University,Xiamen,361005 China
国际会议
2008 International Conference on Microwave and Millimeter Wave Technology(2008国际微波毫米波技术会议)
南京
英文
1788-1791
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）