摘要
选择长三角地区具有代表性4个产地的中华绒螯蟹,采用气相色谱法分析4个产地中华绒螯蟹中的脂肪酸组成,结合化学计量学,分析不同产地中华绒螯蟹脂肪酸组成的差异,构建指纹图谱。利用ChemPattern软件对4个地区中华绒螯蟹气相色谱图进行分析,生成共有模式指纹图谱,并用欧式距离算法进行相似度分析。结果显示,同一类型产品距离共有模式的距离相当,分离效果较好, 4个地区中华绒螯蟹可以很好区分。通过聚类统计分析、自组映射神经网络分析,可从不同角度验证分类结果的一致性。该方法简便易行、准确可靠,为不同产地中华绒螯蟹鉴别的提供新方法。
Chinese mitten crabs from four representative habitats in the Yangtze River Delta region was selected to analyze the fatty acid composition of Chinese mitten crabs from four habitats by gas chromatography.Afterwards,combined with chemometrics,the differences of fatty acid composition of Chinese mitten crabs from different habitats were analyzed and the fingerprint was constructed.By using ChemPattern software,the gas chromatogram of Chinese mitten crabs in four regions was analyzed,and the common pattern fingerprint was generated.Meanwhile,the similarity analysis was carried out by using Euclidean distance.The results showed that the same type of products was at the same distance from the common pattern,and had a good separation effect,so Chinese mitten crabs in four regions could be distinguished well.Besides,the consistency of classification results was verified from different angles through cluster statistical analysis and self-organizing mapping neural network analysis.This method was simple,accurate and reliable,and provides a new method for the identification of Chinese mitten crabs from different habitats.
作者
张雪婧
王羽岑
王伟
李晓芹
方志娟
ZHANG Xuejing;WANG Yucen;WANG Wei;LI Xiaoqin;FANG Zhijuan(Suzhou Institute for Food Control,Suzhou 215134)
出处
《食品工业》
CAS
2024年第8期296-299,共4页
The Food Industry
基金
苏州市科技计划项目(SS202143)。
