2017
DOI: 10.1080/10942912.2017.1354880
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Discrimination of six tea categories coming from different origins depending on polyphenols, caffeine, and theanine combined with different discriminant analysis

Abstract: This study reported a quantitative method to discriminate six tea categories of 664 tea samples. The main components of tea including gallic acid (GA), caffeine, theanine, (−)-epigallocatechin gallate (EGCG), (−)-epigallocatechin (EGC), (−)-epicatechin gallate (ECG), (−)-epicatechin (EC), and (+)-catechin (C) were determined using high-performance liquid chromatography in accordance with the ISO detection standards. Genetic algorithm and stepwise discriminant method were used for factors selection based on nin… Show more

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Cited by 13 publications
(15 citation statements)
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“…Quantification was conducted by the calibration curves of five external standards including four theaflavins and caffeine (Table S2). The concentration of total catechins and theaflavins was calculated using the following equations: Total catechins0.25em()%=()%()+catechin+1.25em()%()epigallocatechin gallate+1.25em()%()epicatechin+1.25em()%()epicatechin gallate Total theaflavins0.25em()%=()%Theaflavin+1.25em()%Theaflavin3gallate+1.25em()%theaflavin3gallate+1.25em()%theaflavin3,3normaldigallate …”
Section: Methodsmentioning
confidence: 99%
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“…Quantification was conducted by the calibration curves of five external standards including four theaflavins and caffeine (Table S2). The concentration of total catechins and theaflavins was calculated using the following equations: Total catechins0.25em()%=()%()+catechin+1.25em()%()epigallocatechin gallate+1.25em()%()epicatechin+1.25em()%()epicatechin gallate Total theaflavins0.25em()%=()%Theaflavin+1.25em()%Theaflavin3gallate+1.25em()%theaflavin3gallate+1.25em()%theaflavin3,3normaldigallate …”
Section: Methodsmentioning
confidence: 99%
“…The determination of theanine content was slightly modified from an early report . Theanine was analyzed by the HPLC system described above, and the separation was performed on a 250 × 4.6 mm, 4 μm Phenomenex Synergi Hydro‐RP C18 column (Phenomenex, Torrance, CA, USA).…”
Section: Methodsmentioning
confidence: 99%
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“…Chemical components have been identified using proton nuclear magnetic resonance and near-infrared spectroscopy (Li, Jin, Sun, Ye, & Liu, 2019;Meng et al, 2017), gas chromatography-mass spectrometry (Luo, Chen, Gao, Liu, & Wu, 2017), electronic tongue (Huo et al, 2014), and electronic nose (Chen, Liu, Zhao, & Ouyang, 2013). High-performance liquid chromatography (HPLC) could classify six tea categories (Ning et al, 2017) and green tea from China and Korea (Jang et al, 2008). Combined with discriminate analysis, HPLC has also been applied for authentic origins discrimination of many agricultural products, such as ginger (Yudthavorasit, Wongravee, & Leepipatpiboon, 2014), wine (Rastija & Srečnik, 2009), honey (Hermosıń, Chicón, & Dolores Cabezudo, 2003), and olive oil (Cunha, Amaral, Fernandes, & Oliveira, 2006).…”
mentioning
confidence: 99%