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| 基于二元逻辑回归分析的苹果汁鉴伪模型 | |
| 引用本文： | 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. |
| 作者姓名： | 苏光明 高海燕 汪政富 廖小军 张 燕 张名位 胡小松 吴继红 |
| 作者单位： | 1. 中国农业大学食品科学与营养工程学院，国家果蔬加工工程技术研究中心，果蔬加工教育部工程研究中心，农业部果蔬加工重点开放实验室，北京100083 2. 上海大学生命科学学院,上海,200444 3. 广东省农科院生物技术研究所,广州,510640 |
| 基金项目： | China National Eleventh Five Plan(No.2006 BDA05A13) |
| 摘 要： | 为了研究苹果汁中有机酸与掺假苹果汁的关系,从而通过检测有机酸进行质量控制和食品安全监督.该文共收集了340个中国产苹果样本并制成苹果汁,涉及14个试点种植区域的19个品种.通过高效液相色谱测定样本中有机酸的种类和含量.该试验通过添加水、L-苹果酸和蔗糖模拟制作原果汁含量分别为57％,50％和25％的掺假苹果汁.在测得的... |
| 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 |
| 收稿时间： | 4/2/2010 12:00:00 AM |
| 修稿时间： | 2011/6/13 0:00:00 |
Model for identifying apple juice authenticity based on binary logistic regression |
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| Su Guangming,Gao Haiyan,Wang Zhengfu,Liao Xiaojun,Zhang Yan,Zhang Mingwei,Hu Xiaosong and Wu Jihong.Model for identifying apple juice authenticity based on binary logistic regression[J].Transactions of the Chinese Society of Agricultural Engineering,2011,27(6):349-356. | |
| Authors: | Su Guangming Gao Haiyan Wang Zhengfu Liao Xiaojun Zhang Yan Zhang Mingwei Hu Xiaosong and Wu Jihong |
| Institution: | Su Guangming1,Gao Haiyan2,Wang Zhengfu1,Liao Xiaojun1,Zhang Yan1,Zhang Mingwei3,Hu Xiaosong1,Wu Jihong1 (1.College of Food Science and Nutritional Engineering,China Agricultural University,Chinese National Engineering Research Centre for Fruits and Vegetables Processing,Engineering Research Centre for Fruits and Vegetables Processing,Ministry of Education,Key Laboratory of Fruits and Vegetables Processing,Ministry of Agriculture,Beijing,100083,China,2.Bioinformatics Center,College of Life Science,Shanghai... |
| 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. |
| Keywords: | model quality control organic acids apple juice adulteration binary logistic regression |
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