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当前位置: 首页 > 文章 > FT-IR结合SIMCA法识别糯米产地 食品科学 2012 (8) 225-228
Position: Home > Articles > Identification of Geographical Origin of Glutinous Rice by FT-IR Spectroscopy Combined with SIMCA Method FOOD SCIENCE 2012 (8) 225-228

FT-IR结合SIMCA法识别糯米产地

作  者：
张文海;姬中伟;艾斯卡尔·艾拉提;毛健
单  位：
艾斯卡尔·艾拉提;江南大学食品学院
关键词：
糯米;傅里叶变换红外光谱法;软独立模式分类法;产地识别
摘  要：
利用傅里叶变换红外光谱法结合软独立模式分类法,在3000～2800cm-1和1760～1700cm-1波长范围内,经Savitzky-Golay平滑、基线校正和标准矢量归一化预处理,利用留一交互验证法建立主成分分析模型,以识别率和拒绝率为指标对7个产地的糯米进行识别。结果显示,在α=0.05显著水平下,陕西省汉中市糯米的识别率为80%,湖北省武穴市和浙江省杭州市糯米的拒绝率分别为83%和97%,其余产地糯米的识别率和拒绝率均为100%,表明傅里叶变换红外光谱法结合软独立模式分类法可成为快速识别糯米产地的有效方法。
译  名：
Identification of Geographical Origin of Glutinous Rice by FT-IR Spectroscopy Combined with SIMCA Method
作  者：
ZHANG Wen-hai1,2,JI Zhong-wei1,AISIKAER Ai-lati1,MAO Jian1, (1.School of Food Science and Technology,Jiangnan University,Wuxi 214122,China; 2.State Key Laboratory of Food Science and Technology,Jiangnan University,Wuxi 214122,China)
关键词：
glutinous rice;FT-IR;SIMCA;geographical origin identification
摘  要：
Fourier transform infrared spectroscopy(FT-IR) combined with soft independent modeling of class analogy(SIMCA) method was applied for tracing the geographical origin of glutinous rice.PCA(principal component analysis) models were built by the method of cross-validation based on such pre-treatments as nine-point Savitzky-Golay smoothing,baseline correction and Standard Normal Variate(SNV) normalization in the region of 3000-2800 cm-1 and 1760-1700 cm-1.Identification of glutinous rice from seven origins was performed by identification rate and rejection rate.Under the significance level of α=0.05,the identification rates of predicted samples were 100% except for the glutinous rice(80%) from Hanzhong,Shaanxi province;the rejection rates were 100% except for glutinous rice from Wuxue,Hubei province(83%) and Hangzhou,Zhejiang province(97%).Thus,the combination of FT-IR and SIMCA is an effective and efficient strategy for identifying the geographic original of glutinous rice.

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