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机构地区:[1]北京农学院食品科学与工程学院,农产品有害微生物及农残安全检测与控制北京市重点实验室,食品质量与安全北京实验室,北京102206
出 处:《食品研究与开发》2016年第3期178-181,共4页Food Research and Development
摘 要:采用近红外(NIR,near-infrared)漫反射光谱法分析了源自4个厂家的不同品牌、不同种类的224个牛奶及还原奶样品,每个样品重复装样3次采集光谱,采用主成分分析法对其进行聚类分析,以此建立牛奶的品种鉴定及掺假识别模型。结果表明:当主成分数目为3时,拟合模型累积贡献率可达98.98%,可以实现对不同品牌的牛奶及掺假牛奶的正确识别,该方法方便、快速、准确,为近红外分析技术在牛奶品种鉴别分析中的应用提供可行性依据。This study was conducted to investigate the 224 samples from 4 different brands and their adulterated milk which based on the near-infrared diffuse reflection spectrum. Each sample was loaded 3 repetitions and then collected its spectrum. The principal component analysis(PCA) was applied to build the clustering discriminan model which could identificate the adulteration milk and the different brands. It turned out that the cumulative contribution rate of fitting model reached 98.98 % when the number of principal components was 3.The fitting model can correctly identify the adulterated milk and the different brands of milk, meanwhile the method is convenient, rapid and accurate. It can provide the feasibility basis that the NIR technology is applicated in the milk quality supervision.
分 类 号:TS252.7[轻工技术与工程—农产品加工及贮藏工程]
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