基于NIRS的食用醋品牌溯源模型的建立与优化.pdf

现代食品科技 Modern Food Science and Technology 2014, Vol.30, No.11 200 基于 NIRS的食用醋品牌溯源模型的建立与优化 管骁 1 ，古方青 1 ，刘静 2 ，杨永健 3 （1.上海理工大学医疗器械与食品学院，上海 200093）（2.上海海事大学信息工程学院，上海 201306） （3.上海市食品药品检验所，上海 201203） 摘要：本文主要探讨了近红外光谱（NIRS）结合模式识别技术应用于食用醋品牌溯源研究。采集了四个品牌（四川保宁香醋、 山西东湖老陈醋、镇江恒顺香醋、镇江香醋）共 160 组食醋样品的近红外漫反射光谱，通过主成分分析（PCA）进行光谱变量压缩及 剔除 8个异常样本数据后，随机选取其中的 114组样品组成训练集用于建立溯源模型，剩余 38组样品用作测试集进行模型验证。比 较了MSC、SD、SNV等几种不同光谱预处理方法以及它们的不同组合对溯源模型的影响，同时考察了 PLS-DA与 SIMCA两种建模 方法对模型的影响。结果表明：选择 MSC 与 SD 相结合的方法对光谱数据进行预处理，并采用 SIMCA 建模方法所建立的醋品牌溯 源模型对四大品牌醋的正确识别率分别可达 100%、100%、91.7%、90%。由此说明采用近红外光谱技术结合模式识别技术可有效实 现食用醋品牌溯源的目的。 关键词：食醋；品牌溯源；模型；近红外光谱 文章篇号：1673-9078(2014)11-200-203 DOI: 10.13982/j.mfst.1673-9078.2014.11.035 Development and Optimization of the Brand Traceability Model of Vinegar Based on Near-infrared Spectroscopy GUAN Xiao1, GU Fang-qing1, LIU Jing2, YANG Yong-jian3 (1.School of Medical Instruments and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)(2.College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China) (3.Shanghai Institute for Food and Drug Control, Shanghai 201203, China) Abstract: In this paper, near-infrared spectroscopy (NIRS) and pattern recognition technology were used to establish a brand traceability model for vinegar. NIR diffuse reflectance spectra of 160 vinegar samples from four different brands (SICHUAN BAONING vinegar, SHANXI EASTLAKE vinegar, HENGSHUN CHINKIANG vinegar, and CHINKIANG vinegar), were collected. After the spectral variables were compressed and eight abnormal sample data were removed using principal component analysis (PCA), 114 samples were randomly selected to form a training set for the construction of a traceability model, and the remaining 38 samples were used to form a test set for model validation. The effects of different pretreatment methods of the NIR spectra including multiplication signal correction (MSC), seco