Geographical origin traceability of Keemun black tea based on its non‐volatile composition combined with chemometrics

2019 ◽  
Vol 99 (15) ◽  
pp. 6937-6943 ◽  
Author(s):  
Shimao Fang ◽  
Wen‐Jing Huang ◽  
Yuming Wei ◽  
Meng Tao ◽  
Xin Hu ◽  
...  
Keyword(s):  
Geographical Origin ◽  
Black Tea ◽  
Volatile Composition ◽  
Geographical Origin Traceability

Identification of geographical origin of Keemun black tea based on its volatile composition coupled with multivariate statistical analyses

2019 ◽  
Vol 99 (9) ◽  
pp. 4344-4352 ◽  
Author(s):  
Shimao Fang ◽  
Jingming Ning ◽  
Wen‐Jing Huang ◽  
Gang Zhang ◽  
Wei‐Wei Deng ◽  
...  
Keyword(s):  
Geographical Origin ◽  
Black Tea ◽  
Statistical Analyses ◽  
Multivariate Statistical Analyses ◽  
Volatile Composition ◽  
Multivariate Statistical

Precipitation isotopic information: A tool for building the data base to verify milk geographical origin traceability

Food Control ◽  
2020 ◽  
Vol 107 ◽  
pp. 106780
Author(s):  
Shima Behkami ◽  
Rima Gholami ◽  
Mehrdad Gholami ◽  
Rasool Roohparvar
Keyword(s):  
Data Base ◽  
Geographical Origin ◽  
Geographical Origin Traceability

scholarly journals Agricultural Product Authenticity and Geographical Origin Traceability

2018 ◽  
Vol 52 (2) ◽  
pp. 115-122 ◽  
Author(s):  
Tiejun ZHAO ◽  
Akimasa NAKANO
Keyword(s):  
Geographical Origin ◽  
Agricultural Product ◽  
Product Authenticity ◽  
Geographical Origin Traceability

Effects of fertilizers and pesticides on the mineral elements used for the geographical origin traceability of rice

2019 ◽  
Vol 83 ◽  
pp. 103276 ◽  
Author(s):  
Lili Qian ◽  
Caidong Zhang ◽  
Feng Zuo ◽  
Lina Zheng ◽  
Dan Li ◽  
...  
Keyword(s):  
Geographical Origin ◽  
Mineral Elements ◽  
Geographical Origin Traceability

scholarly journals Evaluation of Macro- and Microelement Levels in Black Tea in View of Its Geographical Origin

2016 ◽  
Vol 176 (2) ◽  
pp. 429-441 ◽  
Author(s):  
Justyna Brzezicha-Cirocka ◽  
Małgorzata Grembecka ◽  
Tomasz Ciesielski ◽  
Trond Peder Flaten ◽  
Piotr Szefer
Keyword(s):  
Geographical Origin ◽  
Black Tea

scholarly journals Data Fusion of Fourier Transform Mid-Infrared (MIR) and Near-Infrared (NIR) Spectroscopies to Identify Geographical Origin of Wild Paris polyphylla var. yunnanensis

Molecules ◽  
2019 ◽  
Vol 24 (14) ◽  
pp. 2559 ◽  
Author(s):  
Pei ◽  
Zuo ◽  
Zhang ◽  
Wang
Keyword(s):  
Fourier Transform ◽  
Data Fusion ◽  
Near Infrared ◽  
Geographical Origin ◽  
Spectroscopic Techniques ◽  
Mid Infrared ◽  
Level Data ◽  
Paris Polyphylla ◽  
High Level ◽  
Geographical Origin Traceability

Origin traceability is important for controlling the effect of Chinese medicinal materials and Chinese patent medicines. Paris polyphylla var. yunnanensis is widely distributed and well-known all over the world. In our study, two spectroscopic techniques (Fourier transform mid-infrared (FT-MIR) and near-infrared (NIR)) were applied for the geographical origin traceability of 196 wild P. yunnanensis samples combined with low-, mid-, and high-level data fusion strategies. Partial least squares discriminant analysis (PLS-DA) and random forest (RF) were used to establish classification models. Feature variables extraction (principal component analysis—PCA) and important variables selection models (recursive feature elimination and Boruta) were applied for geographical origin traceability, while the classification ability of models with the former model is better than with the latter. FT-MIR spectra are considered to contribute more than NIR spectra. Besides, the result of high-level data fusion based on principal components (PCs) feature variables extraction is satisfactory with an accuracy of 100%. Hence, data fusion of FT-MIR and NIR signals can effectively identify the geographical origin of wild P. yunnanensis.

scholarly journals COMBINED MULTIVARIATE DATA ANALYSIS OF GC/MS AND SENSORY EVALUATION FOR AROMA QUALITY PREDICTION MODEL OF ORTHODOX BLACK TEA GRADES

2016 ◽  
Vol 54 (6) ◽  
pp. 708
Author(s):  
Hoang Quoc Tuan ◽  
Nguyen Duy Thinh ◽  
Nguyen Thi Minh Tu
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Consumer Preference ◽  
Preference Test ◽  
Black Tea ◽  
Quality Prediction ◽  
Least Squares Regression ◽  
Volatile Composition

Relationships between sensory aroma and the volatile composition of 04 black tea grades produced from Northern Vietnam were studied. Consumer preference test on the aroma was carried out by 80 consumers to evaluate the aroma quality of these samples. Aroma concentrate was prepared by Brewed Extraction Method (BEM) method and analyzed using GC/MS. Partial Least Squares Regression (PLSR) was used to determine the relationship between preference scores and peak area percentage data of 39 detected volatile compounds. Among these compounds, 20 identified compounds were determined to contribute significantly to the perceived aroma quality of OTD black teas. On the basis of these 20 compounds, the PLSR model was constructed to predict the aroma quality of OTD black teas. The result showed that the volatile composition by GC/MS in the profiling with sensory and multivariate data analysis should be a useful reference for aroma quality prediction of OTD black tea grades.

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