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鸡精调味料人工感官评价与电子鼻感官分析的相关性研究 被引量:24

Study on correlation between sensory evaluation and electronic nose sensors analysis of chicken seasonings
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摘要 以6种鸡精调味料为研究对象,利用感官评价及电子鼻技术对其风味属性进行评价,采用主成分分析(PCA)和聚类分析(CA)研究电子鼻区分鸡精调味料的能力,并通过偏最小二乘法(PLSR)将感官属性与电子鼻传感器进行相关性分析。结果表明,电子鼻系统具有较好的区分辨别鸡精调味料的能力,传感器LY2/G、LY2/AA、LY2/GH、LY2/gCTl、LY2/gCT与辛辣味、大蒜味、洋葱味相关性较好;传感器LY2/LG、T30/1、P10/1、P10/2、P40/1、T70/2、PA/2、P30/1、P40/2、P30/2、T40/2与鸡肉味、动物膻味、余味持久性、整体风味相关性较好;传感器T40/1、TA/2与酱汁味相关性较好。 Six different kinds of chicken seasonings were used to inves-tigate the aroma attributes using sensory evaluation and electronic nose in the study. The ability of electronic nose to differentiate chicken seasonings was evaluated by principal component analysis (PCA) and cluster analysis (CA). The correlation between sensory attributes and electronic nose sensors was analyzed using partial least square regression (PLSR). The results obtained in the study showed that electronic nose had the ability to differentiate chicken seasonings and there were better correlation between sensors LY2/G, LY2/ AA, LY2/GH, LY2/gCT1, LY2/gCT and spicy aroma, garlic aroma, onion aroma; LY2/LG, T30/1, P10/1, P10/2, P40/1, T70/ 2, PA/2, P30/1, P40/2, P30/2, T40/2 and chicken aroma, gamey aroma, retention aroma, overall aroma, T40/1,TA/2 and soy sauce aroma.
出处 《食品与机械》 CSCD 北大核心 2014年第4期11-13,42,共4页 Food and Machinery
基金 校企合作项目(编号:J2013-39)
关键词 鸡精 调味料 感官评价 电子鼻 相关性 多元统计 分析 chicken essence seasoning sensory evaluation electronicnose correlation multivariate statistical analysis
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参考文献14

  • 1吴浩,刘源,顾赛麒,付娜,陈伟华,王锡昌.电子鼻、电子舌分析和感官评价在鱼糜种类区分中的应用[J].食品工业科技,2013,34(18):80-82. 被引量:26
  • 2贾洪锋,卢一,何江红,朱丽敏.肉类电子鼻识别模型的建立[J].食品与机械,2011,27(3):96-97. 被引量:12
  • 3熊敏,肖岚,谷学权,唐英明.利用电子鼻评价花椒调味料对椒麻鸡风味的影响[J].食品科学,2010,31(22):435-438. 被引量:15
  • 4阎红,辛松林,彭德川.花椒的气味指纹分析技术应用与探索[J].四川烹饪高等专科学校学报,2010(2):21-24. 被引量:15
  • 5庞林江,王允祥,王俊,杨虎清.电子鼻技术在香菇甲醛识别中的应用[J].食品与机械,2009,25(3):101-102. 被引量:17
  • 6Hong Liu,Fankui Zeng,Qinghuang Wang,Shiyi Ou,Lehe Tan,Fenglin Gu.The effect of cryogenic grinding and hammer milling on the flavour quality of ground pepper ( Piper nigrum L.)[J].Food Chemistry.2013(4)
  • 7María de las Nieves López de Lerma,Andrea Bellincontro,Teresa García-Martínez,Fabio Mencarelli,Juan José Moreno.Feasibility of an electronic nose to differentiate commercial Spanish wines elaborated from the same grape variety[J].Food Research International.2013(2)
  • 8Danfeng Wang,Xichang Wang,Taiang Liu,Yuan Liu.Prediction of total viable counts on chilled pork using an electronic nose combined with support vector machine[J].Meat Science.2011(2)
  • 9Quansheng Chen,Jiewen Zhao,Zhe Chen,Hao Lin,De-An Zhao.Discrimination of green tea quality using the electronic nose technique and the human panel test, comparison of linear and nonlinear classification tools[J].Sensors & Actuators: B Chemical.2011(1)
  • 10Bei Wang,Shiying Xu,Da-Wen Sun.Application of the electronic nose to the identification of different milk flavorings[J].Food Research International.2009(1)

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