文档介绍：现代食品科技 Modern Food Science and Technology 2010, ,

近红外光谱技术鉴别方便面品牌的研究

宋尚新 1,2,梁灵 1
(,陕西杨凌 712100)
(,江苏南京 210095)
摘要:对近红外光谱分析技术鉴别不同品牌的方便面进行了研究。选取三个代表性品牌,每个品牌各制 45 个样(其中 40 个样
品用于建模,5 个样品用于预测),通过比较不同光谱预处理方法及光谱范围,得到最优模型。结果表明,在 8350~4190 cm-1 光谱范
围内,采用矢量归一法对光谱数据进行预处理,再分别进行聚类分析与定性分析,得到的模型的品牌识别率均为 100%,比较两种方
法建立模型的效率,聚类分析比定性分析更加快速。说明应用近红外光谱分析技术能够快速、有效的鉴别方便面品牌, 为方便面品牌
的鉴别提供了一种新方法。
关键词:近红外光谱;方便面;品牌;聚类分析
文章篇号:1673-9078(2010)10-1153-1156
Discrimination of Different Brands of Instant
Noodles by Near Infrared Spectra
SONG Shang-xin1,2, LIANG Ling1
( of Food Science and Engineering, Northwest Sci-Tech University of Agriculture and Forestry, Yang ling
712100, China) ( of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China)
Abstract: Near-infrared Spectroscopy technology was used to distinguish three brands of instant noodles. In the experiment, 45 samples
were used for each brand of instant noodles, among which 40 were used for modeling and 5 for brand prediction. paring several
preprocessing procedures and wavelength ranges, the optimal models could be obtained. The result showed that in the range of 8350~4190 cm-1
with Vector Normalization for pretreatment, identification rate of the instant noodles of two brand was 100% using cluster analysis a