Literature DB >> 28879218

Identification of epigallocatechin-3-O-(3-O-methyl)-gallate (EGCG3''Me) and amino acid profiles in various tea (Camellia sinensis L.) cultivars.

Hyang-Gi Ji1, Yeong-Ran Lee2, Min-Seuk Lee3, Kyeng Hwan Hwang2, Eun-Hee Kim4, Jun Seong Park2, Young-Shick Hong1.   

Abstract

This article includes experimental data on the identification of epigallocatechin-3-O-(3-O-methyl)-gallate (EGCG3''Me) by 2-dimensional (2D) proton (1H) NMR analysis and on the information of amino acid and catechin compound profiles by HPLC analysis in leaf extracts of various tea cultivars. These data are related to the research article "Metabolic phenotyping of various tea (Camellia sinensis L.) cultivars and understanding of their intrinsic metabolism" (Ji et al., 2017) [1]. The assignment for EGCG3x''Me by 1H NMR analysis was also confirmed with spiking experiment of its pure chemical.

Entities:  

Year:  2017        PMID: 28879218      PMCID: PMC5577396          DOI: 10.1016/j.dib.2017.08.007

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data 1H NMR data provide identifies, structural elucidation and relative quantification of diverse metabolites in leaves of various tea cultivars. Epigallocatechin-3-O-(3-O-methyl)-gallate (EGCG3′′Me) in tea leaves was clearly identified by 2D NMR experiment and was quantified in 1D 1H NMR spectrum. 2D NMR experiments provide clear structural elucidation of epigallocatechin-3-O-(3-O-methyl)-gallate (EGCG3′′Me) in tea leaves and thus EGCG3′′Me was quantified by 1D 1H NMR analysis. HPLC data give information on the catechin-related compounds and amino acids of various tea cultivars and comparable results with 1H NMR data.

Data

The data include the structural elucidation of epigallocatechin-3-O-(3-O-methyl)-gallate (EGCG3′′Me) in EGCG3′′Me-rich tea cultivar by two-dimensional (2D) total correlation spectroscopy (TOCSY) NMR experiment and by the spiking experiment of its pure chemical in 1H NMR spectrum (Fig. 1) and the profiles of amino acid and catechin-related compound in various tea cultivars by HPLC analysis (Table 1, Table 2).
Fig. 1

The structural elucidation of epigallocatechin-3-O-(3-O-methyl)-gallate (EGCG3′′Me) (A) through spiking experiments with the pure chemical (B) and 2D TOCSY NMR analysis of EGCG3′′Me compound in the extracts of EGCG3′′Me-rich tea cultivar (C).

Table 1

The concentrations of catechin compounds and caffeine in the leaves of various tea cultivars used for the present study and harvested in 2015.

Catechin compounds (mg/g dry weight)Tea cultivars
EGCG-rich (Jangwon No.1)
Rich-taste (Jangwon No.2)
EGCG3˝Me-rich (Jangwon No.3)
Wild type
12Mean12Mean12Mean12Mean
Gallocatechin3.553.633.591.751.811.781.952.021.991.761.551.66
Epigallocatechin57.2957.9057.5933.3833.7333.5650.8750.8850.8851.4150.8151.11
Catechin1.171.281.221.771.721.751.841.851.842.042.142.09
Epicatechin6.756.966.867.737.777.7512.2512.1912.228.778.938.85
Epigallocatechin gallate55.4356.4655.9448.7448.0748.4175.3074.7675.0350.9951.7051.35
Gallocatechin gallate0.550.580.570.620.610.610.810.820.810.620.620.62
Epicatechin gallate7.757.957.8511.9511.7211.8321.1120.9421.038.448.578.51
Catechin gallateN.D.N.D.N.D.N.D.N.D.N.D.N.D.N.D.N.D.N.D.N.D.N.D.
EGCG3˝Me⁎⁎N.D.N.D.N.D.N.D.N.D.N.D.7.767.687.720.880.880.88
Total catechins132.49134.76133.62105.95105.43105.69164.13163.46171.39124.04124.32124.98
Caffeine15.4815.5615.5218.9018.6218.7626.4626.2026.3320.1520.1320.14

N.D. indicates 'no detection'

Mean values from duplicates of tea leaves mixed from 10 different locations in the tea garden, determined by HPLC analysis.

The concentrations of EGCG3˝Me in EGCG3˝Me-rich tea cultivar (Jangwon No.3) harvested in 2016 were measured to 10.0 mg/dry weight.

Table 2

The concentrations of amino acids in the leaves of various tea cultivars used for the present study and harvested in 2015.

Amino acids (μg/g dry weight)Tea cultivars
EGCG-rich (Jangwon No.1)Rich-Taste (Jangwon No.2)EGCG3˝Me-rich (Jangwon No.3)Wild type
Histidine6.596840.315224.4417.596
Asparagine12.251278.809251.405270.3836
Serine359.5288620502.4848475.0896
Glutamine1.57081991.558845.7028114.1688
Arginine150.3141378.38881508.83922854.8336
Glycine35.02663.502863.462434.578
Aspartic acid338.1676837.128824.35841052.4808
Glutamic acid778.5341740.98081813.03481674.7828
Threonine71.3612157.5832187.4948162.762
Alanine130.89282.8372205.662287.468
γ-Aminobutyric acid210.9424214.1856162.6476327.1612
Theanine2115.86419,678.5999459.185211,744.2456
Proline28.691278.49437.393245.6264
Cystine18.2221.611263.21828.8492
LysineN.D.18.494N.D.N.D.
Tyrosine209.7384213.45112.5052166.6496
MethionineN.D.N.D.N.D.N.D.
Valine12.827240.2452N.D.49.4116
Leucine0.8911.7343.910411.2532
Isoleucine19.1136.18288.55421.5856
Phenylalanine37.120475.026439.837264.348
Tryptophan99.214866.584892.0572157.4424
Total amino acid contents4636.858827,645.7115,286.19219,360.716

N.D. indicates 'no detection'.

Mean values from duplicates of tea leaves mixed from 10 different locations in the tea garden, determined by HPLC analysis.

The structural elucidation of epigallocatechin-3-O-(3-O-methyl)-gallate (EGCG3′′Me) (A) through spiking experiments with the pure chemical (B) and 2D TOCSY NMR analysis of EGCG3′′Me compound in the extracts of EGCG3′′Me-rich tea cultivar (C). The concentrations of catechin compounds and caffeine in the leaves of various tea cultivars used for the present study and harvested in 2015. N.D. indicates 'no detection' Mean values from duplicates of tea leaves mixed from 10 different locations in the tea garden, determined by HPLC analysis. The concentrations of EGCG3˝Me in EGCG3˝Me-rich tea cultivar (Jangwon No.3) harvested in 2016 were measured to 10.0 mg/dry weight. The concentrations of amino acids in the leaves of various tea cultivars used for the present study and harvested in 2015. N.D. indicates 'no detection'. Mean values from duplicates of tea leaves mixed from 10 different locations in the tea garden, determined by HPLC analysis.

Experimental design, materials and methods

NMR spectroscopy analysis of tea leaves

The detailed descriptions of extraction procedure and NMR spectroscopic analysis for proton (1H) and carbon (13C) are presented in the research article [1].

Liquid chromatography analysis

The derivatization method using AccQ-Tag Derivatization Kit from Waters (Mildford, MA, USA) was applied to the analysis of amino acids [2]. For each cultivar, 1 g of tea leaf powder for each cultivars was extracted with 100 mL of distilled water in a 100 mL-flask by incubating in a water bath at 75 °C for 30 min, and then cooling to room temperature. The filtered extract was mixed with Acc-Tag buffer (140 µL, Waters) and AccQ-Tag derivatization reagent (20 µL, Waters), and left to react at 55 °C for 10 min. After cooling to room temperature, 1 µL of the mixture was injected and separated through the AccQ-Tag ultra column (1.7 µm, 2.1×100 mm, Waters) coupled with PDA detector (UV 260 nm). The separation was performed at 60 °C and for 12 min with the gradient elution, and the flow rate was 0.7 mL/min. The gradient elution (AccQ-Tag ultra eluent A concentrate, solvent A; AccQ-Tag ultra eluent B, solvent B) used was conducted with the filtering and diluting procedure. The gradient conditions were as follows: 0–0.54 min, 99.9% A-0.1% B; 4.75 min, 93.5% A-6.5% B; 7.74–8.5 min,82.5% A-17.5%; 8.7 min, 40.4% A-59.6% B; 8.9–10 min, 99.9% A-0.1% B. With the tea leaf extract, chromatographic analysis for standard chemical such as catechins and amino acids was carried out. The concentration of the chemical in the tea leaf extract was calculated from the calibration curve of the standard chemical integral area.
Subject areaChemistry
More specific subject areaFood Chemistry
Type of dataTable, figure
How data was acquiredNMR (700 MHz NMR for proton frequency, Bruker Biospin), HPLC (Waters HPLC system equipped with a Waters 2996 Photodiode Array Detector)
Data formatRaw and Analyzed
Experimental factorsTea leaves were extract in 70% Methanol and in 100% water for NMR and HPLC analysis, respectively.
Experimental featuresVery brief experimental description
Data source locationDivision of Food and Nutrition, Chonnam National University, Gwangju 500–575, Republic of Korea
Data accessibilityData are presented with this article
  1 in total

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