中国食品学报2013，Vol.13Issue(1)：178-182,5.
基于聚类分析法和双指标分析法的淡菜红外指纹图谱比较研究
Infrared Fingerprint Analysis of Mussel Coupled with Cluster Analysis and Sequential Analysis of Dual-indexes
摘要
Abstract
Objective:Developing an effective method for tracing the origin of Mussel by using infrared fingerprints. Method:The methods of cluster analysis and sequential analysis of dual-indexes were utilized to investigate the infrared fingerprints of Mussel collected from different places. Result:The Mussel from different places had the similar characteristic peaks of infrared spectra, and the IR characteristic peaks obviously appear as the main characteristic peaks with the type of protein, polysaccharide and unsaturated fatty acid bands, but there were still some differences in the number, shape and intensity of the absorption peaks in the range of fingerprint region 1 800 ~ 800 cm-1. Based on the infrared spectra analysis, the results indicated that the effect of cluster analysis was relatively poor and it was difficult to find out the regular sequences of 17 samples. Furthermore, the effect was improved if raw spectra were dealt with first derivative. By contrast, the 17 Mussel samples could be completely separated when the sequential analysis of dual-indexes was applied, and the accurate relationship between the 17 samples could be inspected and expressed by quantitative relationships, but the method was more difficult than the clustering analysis if the sample size was too large, since a mass of data such as common peak ratio and variation peak ratio of the IR fingerprint spectra were processed and analyzed statistically. Conclusion:The present finding revealed that the infrared fingerprint coupled with the methods of cluster analysis and sequential analysis of dual-indexes could serve as a rapid and non-destructive analytical method for identification of Mussel from different places, and it would be a feasible way for tracing the origin of Mussel and provide a reference for geographical origin traceability of other seafood.关键词
淡菜/红外光谱/指纹图谱/聚类分析/双指标序列分析Key words
mussel/ infrared spectrum/ fingerprint/ cluster analysis/ Dual-Indexes sequential analysis引用本文复制引用
王燕,王斌,徐银峰,徐焕志,栗丽,郑斌,杨会成..基于聚类分析法和双指标分析法的淡菜红外指纹图谱比较研究[J].中国食品学报,2013,13(1):178-182,5.基金项目
国家自然科学基金(81001393) （81001393）
浙江省创新团队项目(2009R50031-16) （2009R50031-16）
浙江省自然科学基金(Y2110636) （Y2110636）
舟山市科技计划项目(2011C22060) （2011C22060）
