Analysis of the Volatile Chemicals of Longjing Tea from Different Production Locations Using Electronic Nose

被引:1
|
作者
DeSong Tang [1 ,2 ]
Cun Ao [2 ]
ShuYing Gong [1 ,2 ]
YingBin Zhang [1 ]
ZhiLei Gu [1 ]
机构
[1] Tea Research Institute,Zhejiang University
[2] Key Laboratory of Horticultural Plants Growth,Development and Biotechnology,Agricultural Ministry of
关键词
Electronic noses(E-nose); longjing tea; volatile chemicals; chemometrics;
D O I
暂无
中图分类号
TS272.5 [各种茶];
学科分类号
摘要
Electronic nose has been applied in analysis of food products by monitoring their flavours.But it gives an overall response to a mixture of volatile components.In this work,multianalysis and chemometrics technique were employed to analyse the E-nose and GC-MS data of Longjing tea produced in different locations in Zhejiang province,China.A good discrimination of Longjing tea samples was obtained by E-nose according to the producing area,and a total of 38 compounds were commonly identified from the GC-MS data.Each individual volatile component was related to E-nose response using PLSR and the significance of each component was evaluated by the coefficient R2.Results indicated that isoamyl isovalerate,cis-3-hexenyl hexanoate,cadinene,phenylethylalcohol and linalool played an important role in response on E-nose sensors.It was possible to give a complementary information concerning the individual chemicals interacts with the sensors of E-nose instead of the total volatile components.
引用
收藏
页码:381 / 387
页数:7
相关论文
共 28 条
  • [1] Analysis of volatile compounds of Mesona Blumes gum/rice extrudates via GC–MS and electronic nose[J] . Tao Feng,Haining Zhuang,Ran Ye,Zhengyu Jin,Xueming Xu,Zhengjun Xie.Sensors & Actuators: B. Chemical . 2011 (1)
  • [2] Use of electronic nose, validated by GC–MS, to establish the optimum off-vine dehydration time of wine grapes[J] . Nieves Lopez de Lerma,Andrea Bellincontro,Fabio Mencarelli,Juan Moreno,Rafael A. Peinado.Food Chemistry . 2011 (2)
  • [3] Classification of Pecorino cheeses using electronic nose combined with artificial neural network and comparison with GC–MS analysis of volatile compounds[J] . C. Cevoli,L. Cerretani,A. Gori,M.F. Caboni,T. Gallina Toschi,A. Fabbri.Food Chemistry . 2011 (3)
  • [4] Correlating chemical parameters of controlled oxidation tallow to gas chromatography–mass spectrometry profiles and e-nose responses using partial least squares regression analysis[J] . Shiqing Song,Xiaoming Zhang,Khizar Hayat,Chengsheng Jia,Shuqin Xia,Fang Zhong,Zuobing Xiao,Huaixiang Tian,Yunwen Niu.Sensors & Actuators: B. Chemical . 2010 (2)
  • [5] Electronic nose to study postharvest dehydration of wine grapes
    Santonico, Marco
    Bellincontro, Andrea
    De Santis, Diana
    Di Natale, Corrado
    Mencarelli, Fabio
    [J]. FOOD CHEMISTRY, 2010, 121 (03) : 789 - 796
  • [6] A Comparison of Partial Least Squares (PLS) and Ordinary Least Squares (OLS) regressions in predicting of couples mental health based on their communicational patterns[J] . Hojjat A. Farahani,Abbas Rahiminezhad,Laleh Same,Kobra immannezhad.Procedia - Social and Behavioral Sciences . 2010
  • [7] Application of the electronic nose to the identification of different milk flavorings[J] . Bei Wang,Shiying Xu,Da-Wen Sun.Food Research International . 2009 (1)
  • [8] Coupling MOS sensors and gas chromatography to interpret the sensor responses to complex food aroma: Application to virgin olive oil[J] . Diego L. García-González,Ramón Aparicio.Food Chemistry . 2009 (2)
  • [9] Influence of region of production on relative clonal plain tea quality parameters in Kenya[J] . P. Okinda Owuor,Francis N. Wachira,Wilson K. Ng’etich.Food Chemistry . 2009 (3)
  • [10] Bread baking aromas detection by low-cost electronic nose[J] . A. Ponzoni,A. Depari,M. Falasconi,E. Comini,A. Flammini,D. Marioli,A. Taroni,G. Sberveglieri.Sensors & Actuators: B. Chemical . 2007 (1)