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.
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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.
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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.
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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.
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 |
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|---|---|---|---|---|
| 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
Transparency document associated with this article can be found in the online version at http://dx.doi.org/10.1016/j.dib.2017.08.007.
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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Supplementary Materials
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