食品科学2012,Vol.33Issue(6):137-142,6.
基于气味指纹预测养殖大黄鱼贮藏过程中的品质变化
Quality Prediction of Cultured Large Yellow Croaker during Chilled Storage Using Odor Fingerprint Technology Based on Electronic Nose
摘要
Abstract
The changes in volatile aroma and related indexes of cultured large yellow croaker during ice storage were examined using an electronic nose.Using samples stored at room temperature as the control,the electronic nose data were analyzed by principal component analysis and partial least squares(PLS) regression and meanwhile,least linear regression was carried out on the results of total volatile basic nitrogen(TVB-N),trimethyl amine(TMA),and total viable count(TVC) in order to create a prediction model for quality changes of large yellow croaker.TVB-N,TMA,and TVC levels in large yellow croaker stored in ice or at room temperature increased with prolonged storage time.Electronic nose could accurately discriminate large yellow croaker samples stored under the different conditions.The correlation coefficients of PLS calibration models for TVB-N,TMA and TVC were 0.9884,0.9889 and 0.9648 for ice-stored samples and 0.9878,0.9915 and 0.9924 for sampled stored at room temperature,respectively.关键词
养殖大黄鱼/电子鼻/三甲胺/挥发性盐基氮/菌落总数Key words
cultured large yellow croaker/electronic nose/trimethyl amine(TMA)/total volatile basic nitrogen(TVB-N)/total viable count(TVC)分类
轻工纺织引用本文复制引用
侯巧娟,王锡昌,董若琰,韦楠,刘源,王丹凤,顾赛麒..基于气味指纹预测养殖大黄鱼贮藏过程中的品质变化[J].食品科学,2012,33(6):137-142,6.基金项目
国家自然科学基金青年科学基金项目 ()
欧盟项目“Sustaining Ethical Aquaculture Trade” ()
上海市科委工程中心建设项目 ()
上海市教委重点学科建设项目 ()