农业工程学报2011，Vol.27Issue(6)：349-356,8.DOI:10.3969/j.issn.1002-6819.2011.06.061
基于二元逻辑回归分析的苹果汁鉴伪模型
Model for identifying apple juice authenticity based on binary logistic regression
摘要
Abstract
In order to explore the correlation between organic acids and adulterated apple juice and in turn to take control of apple juice quality to ensure food safety. A total of 340 apple samples from 14 different planting areas on 19 different varieties were collected throughout the main cultivation areas in China, high performance liquid chromatography (HPLC) was applied to detect organic acids profiles in apple juices. Adulterated juice samples at 75%, 50% and 25% (w/w) were prepared by adding water,L-malic acid and sucrose to adjust pH and total soluble solids (TSS) normal value. Binary logistic regression was adopted on the basis of organic acids in both authentic and adulterated apple juices to establish a predictive model to distinguish authentic and content-mislabeled apple juices. The accuracy and stability of the model were about 87.4% and 94.51% respectively. Statistic results indicate that the model works well and can be used as quality control guide. Therefore, apple juice has very distinct organic acids profiles that can be used as fingerprints for evaluating authenticity.关键词
模型；质量控制；有机酸；苹果汁；掺假；二元逻辑回归分析Key words
model/ quality control/ organic acids/ apple juice/ adulteration/ binary logistic regression分类
轻工纺织引用本文复制引用
苏光明,高海燕,汪政富,廖小军,张燕,张名位,胡小松,吴继红..基于二元逻辑回归分析的苹果汁鉴伪模型[J].农业工程学报,2011,27(6):349-356,8.基金项目
China National Eleventh Five Plan(No.2006 BDA05A13) （No.2006 BDA05A13）
