文章摘要
孙宗保;闫晓静;刘源;邹小波;李国权;周轩;王天真;梁黎明;.基于SPME-MS技术识别不同生产工艺和醋龄的镇江香醋[J].中国食品学报,2020,20(8):229-236
基于SPME-MS技术识别不同生产工艺和醋龄的镇江香醋
The Discrimination of Production Process and Age of Zhenjiang Aromatic Vinegar Based on SPME-MS
  
DOI:
中文关键词: 镇江香醋  固相微萃取质谱  生产工艺  醋龄  化学计量学
英文关键词: Zhenjiang aromatic vinegar  SPME-MS  process  vinegar age  chemometric methods
基金项目:国家重点研发计划项目(2016YFD0401104);国家自然科学基金项目(31671844);镇江市企业重点实验室项目;江苏省博士后科研资助计划项目(1501100C);江苏高校优势学科建设工程项目
作者单位
孙宗保;闫晓静;刘源;邹小波;李国权;周轩;王天真;梁黎明; 江苏大学食品与生物工程学院
江苏大学农业工程研究院
镇江市食品药品监督检验中心
江苏恒顺醋业股份有限公司
 
摘要点击次数: 15
全文下载次数: 0
中文摘要:
      镇江香醋是我国最具代表性的名醋之一,因具有"酸而不涩,香而微甜,色浓味鲜,愈存愈鲜"的特点而闻名遐迩。目前,市场上镇江香醋品种多样,品质各不相同。因生产工艺和醋龄标识不规范引起食醋产业竞争秩序混乱的现象时有发生,这给消费者和生产者带来一定的困扰,亟待科学、准确的方法规范和识别。本文采用固相微萃取质谱(SPME-MS)技术获取2种生产工艺和5种醋龄(新醋、半年、2年、3年、4年)镇江香醋的离子丰度信息,结合线性判别分析(LDA)、支持向量机(SVM)和反向传播神经网络(BPANN)3种化学计量学方法建立判别模型。结果表明:对2种生产工艺的镇江香醋或5种醋龄的镇江香醋进行区分时,BPANN模型的训练集和测试集识别率分别为100%和99%;对镇江香醋的工艺和醋龄同时区分时,LDA模型的训练集和测试集识别率均为100%。结论:采用SPME-MS技术结合化学计量学方法能快速识别不同生产工艺和不同醋龄的镇江香醋。
英文摘要:
      Zhenjiang vinegar is one of the most representative types of vinegar in China. It is famous for certain characteristics, such as being sour but not astringent, fragant and a little sweet, having a thick color and delicious taste, and improvement with age. At present, Zhenjiang aromatic vinegar has a great diversity of types and quality on the market, and identification of processes and ages is a lack of standardization, which could cause the disorderly competition of the vinegar industry and bring some trouble to the consumers and producers. So we urgently need scientific ways to correct and discriminate the processes and ages of vinegar. In this paper, we used SPME-MS technology to obtain the ion abundance of Zhenjiang vinegar using different processes with five vinegar ages (fresh, six month-aged, two year-aged, three year-aged, and four year-aged). We used three chemometric methods-linear discriminat analysis(LDA), support vector machine(SVM) and back-propagation neural network(BPANN) to establish the discriminant model. The results showed the recognition rate of train group and test group in the BPANN model reached 100% and 99%, respectively, when it was used to identifying the different processes or five vinegar ages of Zhenjiang aromatic vinegar. To identifying two different processes and five vinegar ages of Zhenjiang aromatic vinegar simultaneously, the performance of the LDA model was 100%. So the SPME-MS technology combined with chemometric methods could quickly identify the different processes and vinegar ages in Zhenjiang aromatic vinegar.
查看全文   查看/发表评论  下载PDF阅读器
关闭

手机扫一扫看
分享按钮