Please wait a minute...
浙江大学学报（农业与生命科学版）
浙江大学学报(农业与生命科学版)  2013, Vol. 39 Issue (1): 84-    DOI: 10.3785/j.issn.1008-9209.2012.06.111
食品科学     
GC-MS结合化学计量学对茶叶品质的判别研究
陈美丽， 唐德松， 张颖彬， 康受姈， 施梦南， 龚淑英*
（浙江大学 茶叶研究所，杭州 310058）
Study on the tea quality evaluation using GCMS coupling chemometrics
CHEN Meili, TANG Desong, ZHANG Yingbin, KANG Shouling, SHI Mengnan, GONG Shuying*
(Tea Research Institute, Zhejiang University, Hangzhou 310058, China
)
 全文: PDF(1375 KB)   HTML ( ) 
摘要： 采用化学计量学（chemometrics）方法分析茶叶香气气相色谱-质谱（gas chromatography-mass spectrum, GC-MS）信号，结合感官审评对茶叶品质进行预测判断研究。结果表明：主成分分析（principal component analysis, PCA）对大佛龙井、西湖龙井、茉莉花茶、滇红和祁红的判别效果良好，建立的判别函数经10倍交叉验证正确率达100%，回判率达100%。以茶叶等级（价格）为目标函数，利用偏最小二乘回归（partial least squares regression, PLSR）对GC-MS出峰信号进行回归分析，对大佛龙井、茉莉花茶、滇红和祁红的等级（价格）进行预测，预测值与实际值的相关性依次为0.98、0.94、0.99、0.98，表明利用PLSR分析结合GC-MS对茶叶等级（价格）判别有较好的预测效果。  
Abstract: Assessment of tea quality is mainly achieved by sensory evaluation currently, which is easily affected by people’s subjective factors and environmental factors. So an objective assessment method for evaluation of tea quality is necessary. Aroma of tea is one of the most important factors determining its quality. In recent years, there were many reports on the analysis of tea aroma related to the quality of tea using gas chromatographmass spectrometer  (GCMS) technology, but most of the GCMS techniques were limited in the identification of aroma components. Another kind of study of the tea quality was using chemometrics analysis on the data of nearinfrared spectra, electronic nose, electronic tongue and so on. In fact, the data of nearinfrared spectra, electronic nose, electronic tongue was the total indication of the tea aroma or taste and no relationship between the tea quality and its components were obtained. It is well known that the chemical components of tea is in good relation with its quality, but until now there are few reports on the quality analysis of tea products using chemometrics based on the chemical components information. In this work, GCMS and chemometric analysis was combined to study the possibility to classify different kinds of tea samples and evaluate their qualities. The experiment was carried out as follows. Tea aroma components were collected by headspace solidphase microextraction (extraction temperature is 50  ℃, extraction time is 50 min, tea amount is 3.0 g and water volume is 30 mL) and then subjected to GCMS analysis. Aroma components were  identified through mass spectra library and published references. The GCMS data of the aroma components was analyzed by principal component analysis (PCA) and partial least squares regression (PLSR) analysis. The quality of tea were judged predictively combined with sensory evaluation. Results showed  that Dafolongjing, Xihulongjing, jasmine tea, Dianhong and Qihong can be discriminated by PCA, the recognition accuracy for 10fold crossvalidation and back substitution were  both 100%; The grade of Dafolongjing, jasmine tea, Dianhong and Qihong were  predicted well by PLSR on the GCMS data, the correlation of predicted value and actual value were  0.98, 0.94, 0.99, 0.98 respectively, indicating that there is a nice prediction for grade (price) of Dafolongjing, jasmine tea, Dianhong and Qihong. It was concluded from the study that good classification of different kinds of tea, and predication of tea samples according to the quality could be obtained from chemometrics analysis based on GCMS data, indicating that chemometrics analysis based on the chemical components was possible. This method could be furthered in the fingerprint analysis of tea products.
出版日期: 2013-01-20
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章　　
陈美丽
唐德松
张颖彬
康受姈
施梦南
龚淑英*

引用本文:

陈美丽， 唐德松， 张颖彬， 康受姈， 施梦南， 龚淑英*. GC-MS结合化学计量学对茶叶品质的判别研究[J]. 浙江大学学报(农业与生命科学版), 2013, 39(1): 84-.

CHEN Meili, TANG Desong, ZHANG Yingbin, KANG Shouling, SHI Mengnan, GONG Shuying*. Study on the tea quality evaluation using GCMS coupling chemometrics. Journal of Zhejiang University (Agriculture and Life Sciences), 2013, 39(1): 84-.

链接本文:

http://www.zjujournals.com/agr/CN/10.3785/j.issn.1008-9209.2012.06.111    或    http://www.zjujournals.com/agr/CN/Y2013/V39/I1/84

No related articles found!