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. 2017 Aug 10;14:607–611. doi: 10.1016/j.dib.2017.08.007

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

Hyang-Gi Ji a, Yeong-Ran Lee b, Min-Seuk Lee c, Kyeng Hwan Hwang b, Eun-Hee Kim d, Jun Seong Park b,, Young-Shick Hong a,
PMCID: PMC5577396  PMID: 28879218

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.


Specifications Table

Subject area Chemistry
More specific subject area Food Chemistry
Type of data Table, figure
How data was acquired NMR (700 MHz NMR for proton frequency, Bruker Biospin), HPLC (Waters HPLC system equipped with a Waters 2996 Photodiode Array Detector)
Data format Raw and Analyzed
Experimental factors Tea leaves were extract in 70% Methanol and in 100% water for NMR and HPLC analysis, respectively.
Experimental features Very brief experimental description
Data source location Division of Food and Nutrition, Chonnam National University, Gwangju 500–575, Republic of Korea
Data accessibility Data are presented with this article

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.

1. 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.

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
1 2 Mean 1 2 Mean 1 2 Mean 1 2 Mean
Gallocatechin 3.55 3.63 3.59 1.75 1.81 1.78 1.95 2.02 1.99 1.76 1.55 1.66
Epigallocatechin 57.29 57.90 57.59 33.38 33.73 33.56 50.87 50.88 50.88 51.41 50.81 51.11
Catechin 1.17 1.28 1.22 1.77 1.72 1.75 1.84 1.85 1.84 2.04 2.14 2.09
Epicatechin 6.75 6.96 6.86 7.73 7.77 7.75 12.25 12.19 12.22 8.77 8.93 8.85
Epigallocatechin gallate 55.43 56.46 55.94 48.74 48.07 48.41 75.30 74.76 75.03 50.99 51.70 51.35
Gallocatechin gallate 0.55 0.58 0.57 0.62 0.61 0.61 0.81 0.82 0.81 0.62 0.62 0.62
Epicatechin gallate 7.75 7.95 7.85 11.95 11.72 11.83 21.11 20.94 21.03 8.44 8.57 8.51
Catechin gallate N.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. 7.76 7.68 7.72 0.88 0.88 0.88
Total catechins 132.49 134.76 133.62 105.95 105.43 105.69 164.13 163.46 171.39 124.04 124.32 124.98
Caffeine 15.48 15.56 15.52 18.90 18.62 18.76 26.46 26.20 26.33 20.15 20.13 20.14

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
Histidine 6.5968 40.3152 24.44 17.596
Asparagine 12.2512 78.8092 51.4052 70.3836
Serine 359.5288 620 502.4848 475.0896
Glutamine 1.5708 1991.5588 45.7028 114.1688
Arginine 150.314 1378.3888 1508.8392 2854.8336
Glycine 35.026 63.5028 63.4624 34.578
Aspartic acid 338.1676 837.128 824.3584 1052.4808
Glutamic acid 778.534 1740.9808 1813.0348 1674.7828
Threonine 71.3612 157.5832 187.4948 162.762
Alanine 130.89 282.8372 205.662 287.468
γ-Aminobutyric acid 210.9424 214.1856 162.6476 327.1612
Theanine 2115.864 19,678.599 9459.1852 11,744.2456
Proline 28.6912 78.494 37.3932 45.6264
Cystine 18.22 21.6112 63.218 28.8492
Lysine N.D. 18.494 N.D. N.D.
Tyrosine 209.7384 213.45 112.5052 166.6496
Methionine N.D. N.D. N.D. N.D.
Valine 12.8272 40.2452 N.D. 49.4116
Leucine 0.89 11.734 3.9104 11.2532
Isoleucine 19.11 36.182 88.554 21.5856
Phenylalanine 37.1204 75.0264 39.8372 64.348
Tryptophan 99.2148 66.5848 92.0572 157.4424
Total amino acid contents 4636.8588 27,645.71 15,286.192 19,360.716

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.

2. Experimental design, materials and methods

2.1. 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].

2.2. 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.

Footnotes

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Contributor Information

Jun Seong Park, Email: superbody@amorepacific.com.

Young-Shick Hong, Email: chtiger@jnu.ac.kr.

Transparency document. Supplementary material

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References

  • 1.Ji H.G., Lee Y.R., Lee M.S., Hwang K.H., Kim E.H., Park J.S., Hong Y.S. Metabolic phenotyping of various tea (Camellia sinensis L.) cultivars and understanding of their intrinsic metabolism. Food Chem. 2017;233:321–330. doi: 10.1016/j.foodchem.2017.04.079. [DOI] [PubMed] [Google Scholar]
  • 2.Waters Millipore Corporation, Waters AccQ.Tag Chemistry Package, Instruction Manual, USA, 1993.

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