Open AccessJournal Article
[Identification of Xihu longjing tea by PLS model using near-infrared spectroscopy].
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TL;DR: It is proved that the quantitative model by PLS was reliable and accurate to identify real Xihu longjing tea.
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Abstract: Protection of geographical indication for Xihu longjing tea was necessary and an accurate method of identification of Xihu longjing tea ought to be developed to prevent Xihu longjing tea from being faked and protect the trade mark of Xihu longjing tea. Identification of Xihu longjing tea with near-infrared spectrum was researched and a new method for identification of Xihu longjing tea by a quantitative model was developed. A new variance was first defined for Xihu longjing tea and other flat-shaped tea. And then the near-infrared spectrum without preprocess of tea was analyzed and partial least squares (PLS)was most suitably used to build the model (The number of PLS factors in this model is 9) for quantitative prediction. Compared with the critical numeral value, the result predicted by the PLS model was used to identify true Xihu longjing tea. The model was used to predict for 70 known samples which were used to build the quantitative model and 24 unknown samples. The recognition rate of 100% was achieved. So it is proved that the quantitative model by PLS was reliable and accurate to identify real Xihu longjing tea.
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Citations
A Minireview of Analytical Methods for the Geographical Origin Analysis of Teas (Camellia sinensis)
TL;DR: An investigation of analytical methods that are being used for the determination of the geographical origin of tea, subdivided into spectroscopic techniques, chromatographic techniques, and other techniques is concerned.
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Chapter 5 - Vibrational Spectroscopy
TL;DR: In this article, the molecular information provided by the vibrational spectra obtained by both absorption in the near-infrared and middle infrared range and Raman dispersion has been critically evaluated to obtain specific information for the authentication of protected designation of origin foods and other food geographical indications.
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An Identification of the Growing Area of Longjing Tea Based on the Fisher's Discriminant Analysis with the Combination of Principal Components Analysis
TL;DR: The Fisher's discriminant analysis was used to reduce the data dimension combined with the principal component analysis to find characteristic spectra through analyzing the near infrared spectroscopy of Xihu Longjing Tea and Zhejianglongjing Tea.
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Estimation of tea quality grade using statistical identification of key variables
Menghu Li,Tianhong Pan,Qi Chen +2 more
TL;DR: Wang et al. as mentioned in this paper proposed a stepwise regression method (SRM) to estimate batch tea quality grades, and the results of the SRM are then compared with those of elastic net and the partial least squares discriminant analysis (PLS-DA) to demonstrate the effectiveness of the proposed scheme.