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当前位置: 首页 > 文章 > 近红外光谱分析技术在花生原产地溯源中的应用 食品科学 2013,34 (6) 167-170
Position: Home > Articles > Tracing Geographical Origin of Peanuts by Near Infrared Spectroscopy FOOD SCIENCE 2013,34 (6) 167-170

近红外光谱分析技术在花生原产地溯源中的应用

作  者：
张龙;潘家荣;朱诚
单  位：
中国计量学院生命科学学院
关键词：
花生;近红外光谱;原产地;主成分分析;小波转换;判别分析
摘  要：
采用近红外光谱结合化学计量学方法对不同省份来源的花生样品进行溯源研究。首先花生近红外光谱通过标准正态变换加去趋势化预处理降噪、主成分分析降维和小波转换降噪降维两种处理,然后结合线性判别分析、贝叶斯判别分析和k最近邻分析3种判别模型对不同省份来源地花生进行判别。通过分析最优判别组合结果表明,小波转换结合k最近邻分析对花生产地分类效果最好,原始正确分类率为100.0%;交叉验证正确分类率为55.9%。初步实现了花生产地判别,但模型的性能仍有待提高。
译  名：
Tracing Geographical Origin of Peanuts by Near Infrared Spectroscopy
作  者：
ZHANG Long1,2,PAN Jia-rong1,ZHU Cheng1,*(1.College of Life Sciences,China Jiliang University,Hangzhou 310018,China;2.State Key Laboratory of Plant Physiology and Biochemistry,College of Life Sciences,Zhejiang University,Hangzhou 310058,China)
关键词：
peanut;near infrared spectroscopy;geographical origin;principal component analysis;wavelet transform;discriminant analysis
摘  要：
Near infrared spectroscopy combined with chemometrics was used to trace geographical origin of peanuts from different provinces of China.The original spectra were subjected to noise reduction by standard normal variate(SNV) and de-trend(DT) transformation(SNV+DT),and dimension reduction by principal component analysis;wavelet transform(WT) was also used for noise reduction and data compression.The extracted features were processed with linear discriminant analysis,Bayes discriminant analysis and k-nearest neighbors to discriminate the geographical origin of peanuts produced in different provinces of China.The results showed that WT and k-nearest neighbors present the best classification.Approximately 100.0% samples were correctly classified in original test,and 55.9% samples were correctly classified in cross-validation test.As a result,the geographical origin of peanuts from different provinces of China was discriminated.However,the performance of the discrimination models still needs to be improved.

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