摘要
化学计量学广泛应用于食品种类和原产地的区分。文章采用原子吸收法测定了32个食醋样品中的Mg,K,Pb,Zn,Fe,Mn,Ca和Cu等八种无机元素含量。采用向量相似法计算了陈醋和白醋以及同一种类不同品牌食醋的相似度;通过聚类分析和主成分分析对来自北京、江西、江苏和山西4个地区品牌的食醋进行了分类,对不同种类的食醋(陈醋和白醋)也进行了分类。聚类分析和主成分分析都将食醋样品分为两大类,每个大类又将食醋样品按不同品牌分开。食醋中无机元素含量差异可作为食醋种类和品牌判别的测量指标之一。
Classification of brands and quality of food products is a very active area with the application of chemometric classification procedures. The content of inorganic elements such as Mg, K, Pb, Zn, Fe, Mn, Ca and Cu in 32 vinegar samples was determined by atomic absorption spectrophotometer. The similarity of Chencu and Baicu as well as different brands of vinegar samples of the same kind was calculated by vector similarity analysis. The characteristic discrimination of vinegar samples of four brands from Beijing, Jiangxi, Jiangsu and Shanxi was accomplished through cluster analysis and principal component analysis, and the classification of different kinds of vinegar samples (Chencu and Baicu) was performed as well. Vinegar samples were divided into two main groups by cluster analysis and principal component analysis. Each main group was discriminated according to different brands. The contents of inorganic elements in vinegar were good chemical descriptors for differentiation of their kinds and brands.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2009年第10期2860-2863,共4页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金项目(20562009)
中国科学院长春应用化学研究所电分析化学国家重点实验室项目(SKLEAC2004-3)
湖南大学化学生物传感和计量学国家重点实验室项目(SKLCBC2005-22)
江西省自然科学基金项目(0620041)
南昌大学食品科学与技术国家重点实验室项目(SKLF-200807
SKLF-200819)资助
关键词
食醋
相似度计算
聚类分析
主成分分析
Vinegar
Similarity analysis
Cluster analysis
Principal component analysis