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. 2016 Dec 21;10:492–498. doi: 10.1016/j.dib.2016.12.025

Data on green tea flavor determinantes as affected by cultivars and manufacturing processes

Zhuo-Xiao Han a,1, Mohammad M Rana a,b,1, Guo-Feng Liu a, Ming-Jun Gao c, Da-Xiang Li a, Fu-Guang Wu d, Xin-Bao Li d, Xiao-Chun Wan a, Shu Wei a,
PMCID: PMC5196232  PMID: 28054014

Abstract

This paper presents data related to an article entitled “Green tea flavor determinants and their changes over manufacturing processes” (Han et al., 2016) [1]. Green tea samples were prepared with steaming and pan firing treatments from the tender leaves of tea cultivars ‘Bai-Sang Cha’ (‘BAS’) and ‘Fuding-Dabai Cha’ (‘FUD’). Aroma compounds from the tea infusions were detected and quantified using HS-SPME coupled with GC/MS. Sensory evaluation was also made for characteristic tea flavor. The data shows the abundances of the detected aroma compounds, their threshold values and odor characteristics in the two differently processed tea samples as well as two different cultivars.


Specifications Table

Subject area Chemistry
More specific subject area Aroma
Type of data Table
How data was acquired HS-SPME coupled with GC/MS
Data format Analyzed
Experimental factors Green tea samples were prepared from the fresh leaves of two cultivars following two different processing technology. Then the infusions were prepared brewing the sample leaves in the hot water for 5 min.
Experimental features Volatile aroma compounds present in the tea infusions were identified and quantified using HS-SPME coupled with GC–MS.
Data source location Shucheng, Anhui, China (31°31′ 87″ N, 117°02′ 84″ E)
Data accessibility Data is available with this article

Value of the data

  • This adds to the limited public datasets available to compare the aroma compounds between the infusions prepared from differently processed green teas as well as from different cultivars.

  • Threshold values and odor characteristics of detected volatiles will allow researchers to compare their data independently.

  • Standard curves established using authentic compounds can be used by other researchers to quantify the volatiles.

  • The data provides information about the changes specific to processing technology and cultivar differences.

1. Data

The data presented in Table 1, Table 2, Table 3, Table 4, Table 5, Table 6 display standard curves for compound quantification, tea sensory evaluation results, aroma compounds with varied abundances, perception threshold values in the infusions of the steamed processed (St) and pan firing processed (Pa) teas from cultivars ‘BAS’ and ‘FUD’. Dynamic changes in the abundance of different flavor compounds due to the processing treatments and cultivars can be found in the associated article [1].

Table 1.

Standard curves for the major volatiles established using a series of diluted solutions of authentic compounds.

Compounds Formulaa R2 Linear range (µg kg−1)
β-Mycene Y=3E−6X+0.3179 0.9960 2.5–10.0
Limonene Y=8E−6X+0.6167 0.9960 2.5–10.0
β-Ocimene Y=2E−6X−0.2975 0.9959 2.5–10.0
Linalool oxides I Y=2E−6X−0.0786 0.9981 5.0–20.0
Linalool oxides II Y=5E−6X−0.0942 0.9954 5.0–20.0
Linalool Y=4E−6X+2.8332 0.9973 10.0–30.0
Nerol Y=4E−6X−0.4882 0.9999 2.5–10.0
Geraniol Y=3E−6X+5.4386 0.9881 125.0–500.0
Citral Y=4E−6X−1.1757 0.9610 2.5–10.0
Geranyl acetone Y=4E−6X+0.2909 0.9976 2.5–10.0
β-Ionone Y=4E−6X−1.2909 0.9992 5.0–20.0
trans-Nerolidolb Y=3E−6X+2.1929 0.9881 5.0–20.0
β-Farnesene Y=5E−6X+0.0771 0.9976 2.5–10.0
Methyl salicylate Y=4E−6X−2.1275 0.9999 5.0–20.0
cis-3-Hexenyl hexanoate Y=1E−6X+0.8646 0.9865 2.5–10.0
Methyl jasmonate Y=2E−6X−0.6155 0.9999 2.5–10.0
cis-Hexenyl acetate Y=9E−6X+5.1199 0.9728 10.0–30.0
Nonanal Y=9E−6X+6.6491 0.9728 10.0–30.0
cis-3-hexen-1-ol Y=4E−6X+1.8449 0.9534 2.5–10.0
3-Octen-1-ol Y=3E−6X+0.6951 0.9941 2.5–10.0
Naphthalene Y=3E−6X+0.3251 0.9889 2.5–10.0
Indole Y=6E−6X−1.3309 0.9912 5.0–20.0
cis-Jasmone Y=1E−5X−0.3410 0.9988 12.5–50.0
a

Y is the amount (μg kg−1) of volatile compound based on the peak area X generated using GC–MS with the defined program.

b

Mixture of enantiomers of (3S)-trans-nerolidol and (3R)-trans-nerolidol, which were not separately quantified in this study.

Table 2.

Sensory evaluation of the tea samples.

Green tea sample Aroma
Taste
Overall quality
Score Characteristics Score Characteristics
BAS-Pa 92.8±2.5 a slight herb-like, nut-like, roasty 89.8±3.2 a more astringent and brisker 93.5±5.4 a
FUD-Pa 83.6±3.3 b nut-like, green leafy note, roasty 81.7±2.7 b brisk, astringent 81.3±4.4 b

Values with the same letter did not have significant difference between the same columns, using t-test.

Table 3.

Volatiles with no significant differences in abundance (μg kg−1 DW) between ‘BAS’ and ‘FUD’ among the different infusions of processed green teas or fresh leaves (Fr).

No. Volatile compounds BAS-Pa FUD-Pa
14 cis-citral 0.84±0.24 0.57±0.28
18 Geranyl acetone 0.65±0.08 0.61±0.09
23 α-Calacorene Trace ND
27 Copaene 1.32±0.04 1.21±0.36
34 Butyl butanoate Trace ND
35 cis-3-Hexenyl hexanoate 1.48±0.17 1.64±0.36
39 cis-3-Hexenyl acetate 3.01±0.01 3.24±0.10
45 Hexadecane 0.78±0.31 ND
46 Hentriacontane ND Trace
47 Pentacosane ND Trace
49 Hexacosane ND Trace
50 Heptadecane ND Trace
No. Volatile compounds BAS-Fr FUD-Fr
9 Neo-allo-ocimene 3.17±0.28 2.56±0.06
14 cis-citral 1.50±0.22 1.06±0.11
34 Butyl butanoate 1.11±0.22 1. 56±0.67
36 cis-3-Hexenyl-trans-2-hexenoate 8.78±2.39 7.89±1.78
45 Hexadecane 0.94±0.16 2.17±1.61
47 Pentacosane 1.28±0.67 0.94±0.37
48 Heptacosane ND Trace
49 Hexacosane Trace ND
57 unknown 3.28±0.39 ND
58 unkonwn 5.44±0.28 ND
No. Volatile compounds BAS-St BAS-Pa BAS-Fr
3 trans-β-Ocimene ND ND 5.06±0.28
9 Neo-allo-ocimene ND ND 3.17±0.28
28 Farnesene ND ND 3.06±1.44
No. Volatile compounds BAS-St BAS-Pa BAS-Fr
36 cis-3-Hexenyl-trans-2-hexenoate ND ND 8.78±2.39
37 trans-2-Hexenyl butanoate ND ND 27.87±5.61
41 trans-2-Hexenal ND ND 2.67±0.17
45 Hexadecane ND Trace Trace
47 Pentacosane Trace ND Trace
49 Hexacosane ND ND Trace
54 1-methyl-naphthalene ND ND 3.89±1.00
No. Compounds FUD-St FUD-Pa FUD-Fr
1 β-Myrcene ND ND 16.39±2.33
2 Limonene ND ND 10.39±0.83
3 trans-β-Ocimene ND ND 4.11±0.61
9 Neo-allo-ocimene ND ND 2.56±0.06
13 Nerol ND ND 5.39±0.83
16 Citral ND ND 7.83±1.06
36 cis-3-Hexenyl-trans-2-hexenoate ND ND 7.89±1.78
37 trans-2-Hexenyl butanoate ND ND 6.94±0.33
41 trans-2-Hexenal ND ND 9.00±1.94
45 Hexadecane ND ND Trace
46 Hentriacontane Trace Trace ND
47 Pentacosane Trace Trace Trace
48 Heptacosane Trace ND Trace
49 Hexacosane ND Trace ND
50 Heptadecane Trace Trace ND
54 1-Methyl-naphthalene ND ND 2.11±0.22

Note: The volatile compounds were putatively identified using NIST database and quantified based on internal reference compounds. DW-dry weight. ND-not detected.

Table 4.

The most important compounds for observed variance in volatile profiles of pan-fire processed green teas between the two cultivars ‘BAS’ and ‘FUD’.

No. Compounds VIP No. Compounds VIP
1 Linalool oxide I 1.323 9 β-Ocimene 1.231
2 Linaloloxide II 1.314 10 cis-3-Hexenyl isovalerate 1.228
3 Naphthalene 1.291 11 Unknown 1.224
4 Limonene 1.284 12 Geraniol 1.217
5 Citral 1.274 13 unknown 1.196
6 (+)-δ-Cadinene 1.255 14 Butyl butanoate 1.185
7 Methyl salicylate 1.246 15 Hotrienol 1.167
8 Methyl 2-methylvalerate 1.245

Table 5.

Threshold values and odor characteristics of detected volatiles.

No. Compounds Threshold value (ppb) Aroma quality References
1 β-Myrcene 4.9 Herbaceous, woody www.leffingwell.com/odorthre.htm
2 Limonene 10.0 Citrus, terpenic www.leffingwell.com/odorthre.htm
3 trans-β-Ocimene 340.0 Green, terpenic www.leffingwell.com/odorthre.htm
4 β-Ocimene 34.0 Sweet www.leffingwell.com/odorthre.htm
5 Linalool oxide I 6.0 Floral green [2]
6 Linalool oxide II 6.0 Fruity [2]
7 Linalool 0.8 Floral, fruity [3]
8 Hotrienol 110.0 Ginger like [4]
10 Epoxylinalol 6.0 Sweet, woody [2]
11 α-Terpineol 330.0 Floral, sweet [2]
13 Nerol 300.0 Rose, lime [2]
15 Geraniol 3.2 Sweet floral [4]
16 Citral 30.0 Citrus, lemon www.leffingwell.com/odorthre.htm
18 Geranyl acetone 60.0 Fresh, rosy www.leffingwell.com/odorthre.htm
22 β-Ionone 0.007 Dry, floral, fruity [4]
24 trans-Nerolidol 2250.0 Floral, woody www.leffingwell.com/odorthre.htm
32 Methyl salicylate 40.0 Wintergreen like [2]
34 Butyl butanoate 100.0 Rotten apple www.leffingwell.com/odorthre.htm
39 cis-3-Hexenyl acetate 31.0 Green; banana-like www.leffingwell.com/odorthre.htm
40 Benzene-acetaldehyde 4.0 Green www.leffingwell.com/odorthre.htm
41 trans-2-Hexenal 17.0 Green apple-like, bitter almond-like www.leffingwell.com/odorthre.htm
42 Nonanal 1.0 Fatty, citrus, green www.leffingwell.com/odorthre.htm
43 Heptanal 3.0 Fatty green www.leffingwell.com/odorthre.htm
44 Decanal 2.0 citrus www.leffingwell.com/odorthre.htm
51 cis-3-Hexen-1-ol 13.0 Lettuce-like [4]
52 3-Octen-1-ol 1.0 Green, meaty [2]
53 Naphthalene 5.0 naphthalene [5]
55 Indole 1.0 Faecal, animal-like [6]
56 cis-Jasmone 1.9 Floral, jasmine-like This study

Table 6.

Volatiles that were present in the fresh leaf sample infusions but not detected among the processed green tea infusions of ׳BAS׳ and ׳FUD׳.

Volatile compounds BAS-St BAS-Pa BAS-Fr
trans-β-Ocimene ND ND 5.06±0.28
Neo-allo-ocimene ND ND 3.17±0.28
Farnesene ND ND 3.06±1.44
cis-3-Hexenyl-trans-2-hexenoate ND ND 8.78±2.39
trans-2-Hexenyl butanoate ND ND 27.87±5.61
trans-2-Hexenal ND ND 2.67±0.17
1-methyl-Naphthalene ND ND 3.89±1.00
Compounds FUD-St FUD-Pa FUD-Fr
β-Myrcene ND ND 16.39±2.33
Limonene ND ND 10.39±0.83
trans-β-Ocimene ND ND 4.11±0.61
Neo-allo-ocimene ND ND 2.56±0.06
Nerol ND ND 5.39±0.83
Citral ND ND 7.83±1.06
cis-3-Hexenyl-trans-2-hexenoate ND ND 7.89±1.78
trans-2-Hexenyl butanoate ND ND 6.94±0.33
trans-2-Hexenal ND ND 9.00±1.94
1-methyl-Naphthalene ND ND 2.11±0.22

Note: Abundances of volatiles were presented as μg kg−1 DW. ND-not detected.

2. Experimental design, materials and methods

2.1. Chemicals

For volatile profiling, authentic standards of linalool, linalool oxides, geraniol, citral, β-myrcene, limonene, β-ocimene, nerol, trans-nerolidol, farnesene, β-ionone, geranyl acetone, naphthalene, cis-3-hexen-1-ol, nonanal, benzene acetaldehyde, methyl salicylate, cis-hexenyl acetate, methyl jasmonate, cis-3-hexenyl hexanoate, 3-octen-1-ol, indole and ethyl decanoate were purchased from Sigma-Aldrich (Shanghai, China). cis-Jasmone was purchased from Aladdin Industrial Inc. (Shanghai, China).

2.2. Volatile profiling

Tea infusions were prepared using the fresh leaf samples and final product tea samples from two cultivars. Volatile collection, identification and quantification were conducted according to Wang et al. [7] using headspace-solid phase micro-extraction (HS-SPME) coupled with gas chromatography (Agilent 7697A)/mass spectrometry (Agilent 7890A) (GC/MS) with some minor modifications. In our experiments, 5 mL tea infusion was used for headspace volatile collection with the fiber (65 μM PDMS/DVB, Supelco, Bellefonte PA, USA) for 1 h. DB-5 capillary column (30 m×0.25 mm×0.25 µm, Agilent) was used for GC/MS analysis. The assays were carried out in triplicate for each sample. Ethyl decanoate (0.01%, 10 μL) was added to the samples as the internal standard. Chemicals were identified by comparing with either the standard substance or the NIST database [8]. Compounds quantification were calculated based either on the calibration curves established using series diluted solutions prepared with authentic standards or on the peak areas of the internal standard. The concentrations of the volatiles were expressed as μg kg−1 DW.

2.3. Sensory evaluation of tea infusions

Three grams (accurate to 0.01 g) of the processed tea was infused with 150 mL of distilled boiling water for 5 min. By using a sieve, infused leaves were removed and tea infusions were transferred to glasses. The sensory evaluation was carried out by five trained panelists. They were instructed to evaluate the sensory responses regarding taste, aroma, and overall flavor quality by giving a score within 100 and also to note down the flavor characteristics of the samples. Subsequent analyses of the samples were performed in triplicate.The order of the samples was randomized. Between the tastes of the samples, every panelist drank natural mineral water and ate unsalted cracker to vanish the taste. Final sensory scores were statistically analyzed using T-test (P<0.05).

Acknowledgements

This work was financially supported by the National Natural Science Foundation of China [Grant numbers 31070614 and 31370687], and the Research Fund for the Doctoral Program of Higher Education [20123418110002] to S. Wei. We also thank Professors Zaixin Hua, Qianyin Dai, Dr Jingjing Liu and Xinkai Yi at the Anhui Agricultural University for literature reviews.

Footnotes

Transparency document

Transparency data associated with this article can be found in the online version at 10.1016/j.dib.2016.12.025.

Appendix A

Supplementary data associated with this article can be found in the online version at 10.1016/j.dib.2016.12.025.

Transparency document. Supplementary material

Supplementary material

mmc2.docx (12.1KB, docx)

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Appendix A. Supplementary material

Supplementary material

mmc1.zip (49.7KB, zip)

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Associated Data

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Supplementary Materials

Supplementary material

mmc2.docx (12.1KB, docx)

Supplementary material

mmc1.zip (49.7KB, zip)

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