| 基于近红外光谱的豆酱鉴别技术研究 |
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| 引用本文： | 张宝,涂德浴,陈全胜.基于近红外光谱的豆酱鉴别技术研究[J].现代食品科技,2011,27(4):486-489. |
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| 作者姓名： | 张宝 涂德浴 陈全胜 |
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| 作者单位： | 1. 安徽工业大学机械工程学院,安徽马鞍山,243002
2. 江苏大学食品与生物工程学院,江苏镇江,212013 |
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| 摘 要： | 针对葱伴侣、凤彩桥、海天和金菜地四种品牌的豆酱,利用近红外光谱分析技术,对其进行预处理、主成分分析(PCA)、聚类分析(CA)和判别分析(DA),以建立识别不同豆酱品牌的近红外光谱定性判别模型.分析结果显示4种不同品牌的平均近红外光谱存在差异,其主成分空间分布也处于不同区域.对样品进行聚类分析,凤彩桥和海天存在小部分交...
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| 关 键 词： | 近红外光谱技术 豆酱 主成分分析(PCA) 聚类分析(CA) 判别分析(DA) |
Identification of Soybean Paste based on Near-infrared Spectroscopy(NIRS) |
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| ZHANG Bao,TU De-yu,CHEN Quan-sheng.Identification of Soybean Paste based on Near-infrared Spectroscopy(NIRS)[J].Modern Food Science & Technology,2011,27(4):486-489. |
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| Authors: | ZHANG Bao TU De-yu CHEN Quan-sheng |
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| Affiliation: | 1.School of Mechanical Engineering,Anhui University of Technology,Ma’anshan 243002,China)(2.School of Food and Biological Engineering,Jiangsu University,Zhenjiang 212013,China) |
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| Abstract: | Four soybean pastes with different brands of Congbanlv,Fengcaiqiao,Haitian and Jincaidi,were discriminated based on their NIR spectra.The samples were subjected to pretreatment,principal component analysis(PCA) and cluster analysis(CA).And a qualitative model was established to do analysis and validated.The results showed that there were some differences in the average NIR spectra from four trademarks,and the element contents were different from different locations.The samples can be identified by cluster analysis with a certain crossover between Fengcaiqiao and Haitian.According to the Euclidean distance of NIR spectra,to predict the varieties of 40 unknown samples by the model,the recognition rate was 95%.The results show that NIR spectroscopy can be used for classification and discrimination of different trademark of soybean paste rapidly and accurately. |
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| Keywords: | NIR spectroscopy soybean paste principal component analysis(PCA) cluster analysis(CA) discriminant analysis(DA) |
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