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Article

Comparative Analysis of Volatile Compounds in Tieguanyin with Different Types Based on HS–SPME–GC–MS

1
College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2
Key Laboratory of Biology, Genetics and Breeding of Special Economic Animals and Plants, National Engineering Research Center for Tea Processing, Tea Research Institute Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, 9 South Meiling Road, Hangzhou 310008, China
3
Anxi Taoyuan Organic Tea Farm Co., Ltd., Quanzhou 362400, China
*
Authors to whom correspondence should be addressed.
Foods 2022, 11(11), 1530; https://doi.org/10.3390/foods11111530
Submission received: 26 April 2022 / Revised: 14 May 2022 / Accepted: 16 May 2022 / Published: 24 May 2022
(This article belongs to the Special Issue Advances on Tea Chemistry and Function)

Abstract

:
Tieguanyin (TGY) is one kind of oolong tea that is widely appreciated for its aroma and taste. To study the difference of volatile compounds among different types of TGY and other oolong teas, solid-phase microextraction–gas chromatography–mass spectrometry and chemometrics analysis were conducted in this experiment. Based on variable importance in projection > 1 and aroma character impact > 1, the contents of heptanal (1.60–2.79 μg/L), (E,E)-2,4-heptadienal (34.15–70.68 μg/L), (E)-2-octenal (1.57–2.94 μg/L), indole (48.44–122.21 μg/L), and (E)-nerolidol (32.64–96.63 μg/L) in TGY were higher than in other varieties. With the increase in tea fermentation, the total content of volatile compounds decreased slightly, mainly losing floral compounds. Heavily fermented tea contained a higher content of monoterpenoids, whereas low-fermentation tea contained higher contents of sesquiterpenes and indole, which could well distinguish the degree of TGY fermentation. Besides, the volatiles analysis of different grades of TGY showed that the special-grade tea contained more aroma compounds, mainly alcohols (28%). (E,E)-2,4-Heptadienal, (E)-2-octenal, benzeneacetaldehyde, and (E)-nerolidol were the key volatile compounds to distinguish different grades of TGY. The results obtained in this study could help enrich the theoretical basis of aroma substances in TGY.

1. Introduction

Oolong tea is a unique type of tea in China. Its unique floral and fruity aroma is deeply loved by consumers. Furthermore, oolong tea can improve human health because it contains rich biological functional substances, such as polyphenols, flavonoids, and amino acids. Several studies have indicated that oolong tea has the functions of anticancer, antiallergic, and improving vascular disease [1,2]. Tea variety, origin, and processing methods lead to the differences in volatile compounds among different types of oolong tea [3]. As a special tea in China, there are four famous oolong teas: Wuyi rock tea, Anxi Tieguanyin tea, Fenghuang Dancong tea, and Dongding oolong tea [4]. Wuyi rock tea is well known for its rich flavor and long-lasting fragrance, which is called “rock charm and floral fragrance” [5]. Fenghuang Dancong tea is well known for its unique floral and fruity aroma, which is traditionally divided into Youhua Xiang, Qilan Xiang, Yelai Xiang, etc. [6]. Anxi Tieguanyin tea and Dongding oolong tea have a light and elegant floral aroma. The unique biochemical composition of each cultivar greatly affects the aroma profile of oolong tea [7]. Compared with Tieguanyin (TGY), nitrogen exists in higher concentrations in Dongding oolong tea [8]. When choosing oolong tea varieties, higher terpenoid and green leaf volatile ratios may be a useful index for selecting cultivars [9]. The processing of oolong tea includes plucking, sun-withering, indoor-withering, shaking, fixing, rolling, and drying [10]. Aroma formation can be divided into enzymatic (before the fixing procedure) and nonenzymatic stages (after the drying procedure) [11]. During the enzymatic stage, oolong tea is formed by the hydrolysis of glycosides and carotenoids, mainly including β-ionone, linalool, and nerolidol [11]. During the nonenzymatic stage, the aroma compounds mainly undergo thermochemical transformation to form large amounts of heterocyclic compounds, such as furan and pyrrole [12].
At present, gas chromatography–mass spectrometry (GC–MS) combined with solid–phase microextraction (SPME) is commonly used for the analysis of tea aroma volatiles. GC–MS has a high separation effect on volatile compounds, strong identification ability, and can provide detailed information on compounds [13]. Simultaneous distillation extraction and SPME are commonly used to extract volatile compounds from tea [14]. However, volatile compounds may be degraded during the thermal processing of simultaneous distillation extraction, whereas SPME has the advantage of being fast, simple, and convenient and has been applied to wine [15], “Marion” and “Black Diamond” blackberries [16], and tea [14]. An enormous amount of data is obtained using GC–MS analysis. Principal component analysis, partial least-squares discriminant analysis (PLS–DA), and orthogonal PLS–DA can extract relevant information and discover patterns in large series of data [17], which are widely used in tea. PLS–DA is a steady discriminant statistical method that is especially suitable for cases with large numbers of explanatory variables [18,19]. Variable importance in projection (VIP) of PLS–DA can quantify the contribution of each variable to classification. The larger the VIP value, the more significant the difference in variables between different areas of oolong tea.
There are many kinds of oolong tea, among which TGY is an important one. Different varieties and fermentation degrees will lead to different flavors and qualities of TGY. In this experiment, different varieties of oolong tea were collected to analyze the difference between TGY and other varieties. The aroma difference of TGY with different grades and fermentation degrees was also analyzed. Based on SPME extraction and GC–MS analysis, nontargeted analysis was conducted on volatile aroma substances in oolong tea samples. Combined with statistical analysis, differences in aroma substances in tea samples of different varieties (TGY vs. other oolong tea), fermentation, and grades of TGY were found. Based on this study, the aroma components of TGY oolong tea with different grades and fermentation levels could be improved, and the theoretical basis of aroma substances in TGY could be enriched.

2. Material and Methods

2.1. Tea Samples

In this study, a total of 25 tea samples were collected (Figure S1), including five special-grade TGY with low fermentation (LF-T), five special-grade TGY with heavy fermentation (HF-T), five first-grade TGY with heavy fermentation (HF-F), five other TGY samples, two Huangdan samples (HD), one Baiyaqilan sample (BYQL), and two Zhangpinshuixian samples (ZPSX). All tea samples were purchased from the local markets in Fujian, China. All tea samples were sealed in containers and stored in a −20 °C freezer for further analysis.

2.2. Chemicals and Instruments

Decanoic acid ethyl ester (analytically pure reagent, purity ≥ 99.5%) was purchased from Shanghai Guo Yao Group Chemical Reagent Co., Ltd. (Shanghai, China). Purified water used in this experiment was purchased from Hangzhou Wahaha Group Co., Ltd. (Hangzhou, China). A standard mixture of n-alkanes C8–C30 was purchased from o2si (North Charleston, SC, USA).

2.3. Tea Aroma Extraction Using SPME

The fiber was preconditioned for 5 min in the injection port of the gas chromatograph at 230 °C to remove any volatiles remaining on the fiber before each extraction. Tea samples (0.1 g) were weighed and placed in one 20 mL headspace vial, then 5 mL of boiling distilled water and 20 μL of decanoic acid ethyl ester (5 μg/L internal standard) were added. The vials were kept in a 60 °C water bath for 5 min. After that, the SPME fiber was used for the extraction of volatiles for 60 min in a 60 °C water bath. Subsequently, the volatiles were desorbed at the injector (230 °C) of the GC–MS for 5 min [20].

2.4. GC–MS Analysis of Volatile Compounds

An Agilent 6890 gas chromatograph interfaced with an Agilent HP 5973 MSD ion trap mass spectrometer (Wilmington, DE, USA) was used for the analysis of volatiles. The separation was performed on a DB-5MS capillary column (30 m × 250 μm × 0.25 μm). The GC inlet temperature was set at 230 °C. High purity helium (99.999%) was used as the carrier gas with a constant flow of 0.544 mL/min. The temperature procedure was as follows: 40 °C for 3 min, raised to 120 °C at 2 °C/min, then held at 120 °C for 2 min, and finally raised to 230 °C at 10 °C/min and held for 2 min. For MS analysis, the electronic energy of the EI mode was 70 eV. The temperature of the ion source was set at 230 °C. The mass scan range was m/z 40–400. Each sample was analyzed in triplicate [21].

2.5. Statistical Analysis

The volatile compounds were identified using retention indices (RIs), authentic standards, or comparison with mass spectra in the National Institute of Standards and Technology library (NIST14.L). The linear RIs were determined via sample injection with a homologous series of alkanes (C5−C30) (Sigma-Aldrich (Shanghai, China)). The PLS-DA was performed using SIMCA-P 13.0 software (Umetric, Umea, Sweden). MultiExperiment Viewer software (version 4.7.4, Boston, MA, USA) was employed for heatmap analysis. ACI value calculation reference [22,23] as a standard.

3. Results and Discussion

3.1. Identification of Volatile Compounds in TGY

Volatile compounds obtained using GC–MS analysis (Figure 1) were identified using NIST14.L, combined with the retention time, indices, reference data, and data processing software. Finally, a total of 118 volatile compounds were identified, namely 18 alcohols, 13 aromatics, 23 aldehydes, 10 ketones, 18 heterocyclic compounds, 5 N-containing compounds, 22 esters, and 9 other compounds. The relative content of the identified compounds was calculated according to internal standards [20]. The analysis results showed that the main volatile compounds of TGY were (E)-nerolidol, indole, (E,E)-2,4-heptadienal, benzeneacetaldehyde, hotrienol, linalool, n-butyl acetate, hexanal, and phenylethyl alcohol. Among them, (E)-nerolidol (11.86–21.14%), indole (12.15–34.05%), and (E,E)-2,4-heptadienal (6.13–18.12%) were the three most abundant volatile compounds with the highest content in TGY samples, which was consistent with the results of previous studies [24,25]. Retention time, odor description, and type of volatile compounds are listed in Table 1.

3.2. Differences of Volatile Compounds in TGY from Other Varieties of Oolong Tea

The data obtained using GC–MS analysis were analyzed with PLS–DA after data preprocessing. Figure 2A shows that there is clear discrimination between TGY and other varieties of oolong tea; HD, ZPSX, and BYQL could also be clearly separated. The PLS–DA model was confirmed by 200 permutation tests (Figure 2B). The results indicated that the model was not overfitted. Not all identified volatile compounds played an important role in the differentiation analysis of different types of oolong tea samples. To find the key differential volatiles, after PLS-DA analysis, compounds with VIP > 1 were screened out for further analysis (Figure 2C). Compounds with VIP > 1 were generally considered to be the important contributors to tea aroma difference. These compounds were divided into two groups (a and b in Figure 2C). The contents of compounds in group a were lower in TGY, including methyl jasmonate, 1-octanol, linalool, and its oxides. Methyl jasmonate has a powerful floral-herbaceous and sweet aroma, linalool has a floral aroma, and 1-octanol presents a penetrating aromatic aroma. This may be the reason why other varieties were sweeter than TGY. In group b, the content of compounds in TGY was higher, mainly including (E)-nerolidol, indole, and α-farnesene. These aromatic compounds were characteristic of oolong tea aroma [11]. Cluster analysis could distinguish TGY samples from other tea variety samples, and HD, ZPSX, and BYQL were also separated. This indicates that variety selection was very important to the aroma characteristics of oolong tea.
There were still many differential compounds screened by PLS-DA. Aroma character impact (ACI) was introduced to further screen the differential compounds. ACI is a ratio of odor-activity in a mixture and is more useful for comparing the contribution of the individual components to the overall aroma [22,23]. Therefore, ACI values of compounds (VIP > 1) were calculated, and the results are shown in Table 2. The contents of heptanal, (E,E)-2,4-heptadienal, (E)-2-octenal, indole, and (E)-nerolidol in TGY were higher than in other varieties, whereas the content of 1-octen-3-ol and linalool were lower. (E,E)-2,4-Heptadienal as fatty and oil notes, was mostly derived from lipid degradation during manufacture [26] and contained a larger quantity in high-grade green or black tea [27]. (E)-2-Octanal has a fatty, green aroma. Indole is widely distributed and plays an important role in plants and accumulates at the turnover stage of the oolong tea manufacturing process [28]. (E)-Nerolidol is a sesquiterpene presenting as an essential oil in many plants with a floral odor [29] and as a potent signal that elicits plant defenses [30]. The proportion of indole and (E)-nerolidol were higher in TGY, which might be caused by its fragrant and fruit aroma. 1-Octen-3-ol has a sweet earthy odor and is often used as mosquito bait [31]. Linalool is a mate attractant pheromone component in the bee Colletes cunicularius with a floral aroma [32]. Taken together, the data indicate that (E,E)-2,4-heptadienal, (E)-2-octenal, indole, (E)-nerolidol, 1-octen-3-ol, and linalool were key differentiating volatiles of TGY from other varieties.

3.3. Difference Analysis of Volatiles in TGY with Different Fermentation

Oolong tea fermentation mainly occurs in the withering and turnover procedures. In the fermentation process, grassy flavors were diminished, and the flowery and fruity fragrances appeared sequentially [24]. The reason was that the continuous mechanical damage during fermentation facilitated the synthesis of terpenoids, fatty acids, and benzenoid-derived compounds [34], such as trans-β-ocimene, indole, and linalool [35]. Therefore, the degree of fermentation was very important to the quality of oolong tea.
In this study, 118 volatile compounds were identified by analyzing TGY samples of different fermentation levels and classified according to aroma type and compound type (Figure 3A,B), the floral and fruity compounds were dominant in TGY. With the continuation of fermentation, the total content of compounds decreased, mainly the floral aroma compounds. The compounds with the highest proportion in HF-T were alcohols, whereas that in LF-T were N-containing compounds. Aldehydes and alcohols were often characterized by experts with strong sensory descriptions and associated with greenery, freshness, green plants, citrusy, fatty, and sweet notes [26].
Through data analysis, the TGY samples with different fermentation levels were clearly separated in the PLS-DA plot (Figure 4A). To eliminate the interference of irrelevant variables and find the key compounds that affected this classification of tea samples, VIPs were used to screen compounds with significant differences among different fermentations of TGY. As the fermentation level increased (Figure 4C), the contents of (E,E)-2,4-heptadienal, n-butyl butanoate, indole, jasmine lactone, phenylethyl alcohol, benzeneacetaldehyde, (2-nitroethyl)-benzene, (E)-nerolidol, and α-farnesene decreased, whereas the content of hotrienol, benzyl alcohol, geraniol, linalool, and its oxides increased, which was consistent with previous studies [36]. Hotrienol, geraniol, and linalool are monoterpenoids, which were induced and composed by the methylerythritol phosphate pathway. (E)-Nerolidol and α-farnesene are sesquiterpenes and were induced and composed by the mevalonic acid pathway [37]. The synthesis of these terpenes requires the same precursor, geranyl pyrophosphate, and there may be competition between the two pathways. The mevalonic acid pathway may be dominant when the fermentation degree is low. Monoterpenes were synthesized mainly through the methylerythritol phosphate pathway at high fermentation levels. The content of indole was high in lightly fermented oolong tea, but low in heavily fermented Beauty tea or black tea [10,28], which was consistent with our study results that indole content decreased with the deepening of fermentation. In conclusion, HF-T contained a high content of monoterpenoids, whereas LF-T contained a high content of sesquiterpenes and indole. These compounds were useful for the classification of TGY with different fermentation degrees.

3.4. Difference Analysis of Volatiles in Different Grades of TGY

According to the tenderness, aroma, taste, and appearance, different types of tea can be classified into different grades [38]. TGY is usually classified into special grades and grades 1–4 [39]. Exploring the signature compounds of different grades of TGY could help identify the grade of TGY. Then, in this study, the differences in volatiles of TGY with different grades were analyzed. As shown in Figure 5, the total amount of aroma in the special-grade tea was higher than that in first-grade tea, especially in the floral-scented compounds. Therefore, the special-grade tea was richer in floral types under sensory evaluation, which was consistent with previous studies [27,40]. Based on the analysis of compound types, the highest proportion of volatile compounds in the special grade tea was alcohols (28%). In first-grade tea, aldehydes accounted for a higher proportion (25%), which may be caused by the oxidation of more primary alcohols into aldehydes.
The PLS–DA analysis result is shown in Figure 6. Volatile compounds with VIP > 1 were screened out (Figure 6C). Compared with the special grade tea, the relative content of benzaldehyde (volatile oil of almond), jasmine lactone (coconut-fruity odor), and α-farnesene (woody, citrus, sweet) in first-grade tea were higher, but that of acetal (pleasant odor), 2-ethyl-1-hexanol (mild, oily, sweet, slightly floral odor), benzyl alcohol (faint, aromatic, fruity odor), (E)-nerolidol (rose apple), and n-hexyl salicylate is lower. (E)-Nerolidol content was positively correlated with oolong tea grade [41,42]. The special-grade tea and first-grade tea were the highest grades of tea, and their quality evaluation was used to find out whether there was an inferior odor in the tea aroma and whether the aroma type was typical. For example, the fresh-scented TGY typically had a fresh flowers aroma, whereas that of Oriental Beauty was honey and sweet aroma. The aroma of benzaldehyde had a roasted aroma, which was not consistent with the TGY aroma type.
Here, ACI values were also calculated to further screen out key aroma compounds related to TGY grades (Table 3). The content of (E,E)-2,4-heptadienal (1.68–2.19%) and (E)-2-octenal (6.36–9.10%) was higher in first-grade tea, whereas the content of benzeneacetaldehyde (0.83–1.25%) and (E)-nerolidol (0.06–0.1%) was lower. (E,E)-2,4-Heptadienal had a fatty and oil aroma, and its concentration was lower in the special grade tea, which was opposite to the previous results [27]. (E)-2-Octenal had a fatty and green aroma, and gave rise to inferior flavor. (E)-Nerolidol was an important contributor to oolong tea aroma, which could be regarded as one of the key odors of oolong tea quality. In general, its content was positively correlated with oolong tea grade [42]. In conclusion, the higher grade was the grade of TGY, the more volatile compounds that were present. Furthermore, (E,E)-2,4-heptadienal, (E)-2-octenal, benzeneacetaldehyde, and (E)-nerolidol could be used as the key volatile compounds to distinguish different grades of TGY.

4. Conclusions

In this study, a combination of SPME–GC–MS and chemometrics analysis provided a convenient and reproducible method for differential analysis of oolong tea samples. The content of heptanal, (E,E)-2,4-heptadienal, (E)-2-octenal, indole, and (E)-nerolidol in TGY was higher than in other varieties, whereas the content of 1-octen-3-ol and linalool was lower than in other varieties. With the extension of fermentation, HF contains a high content of monoterpenoids, whereas LF contains a high content of sesquiterpenes and indole. (E,E)-2,4-Heptadienal, (E)-2-octenal, benzeneacetaldehyde, and (E)-nerolidol were the key volatile compounds to distinguish different grades of TGY. (E)-nerolidol, (E,E)-2,4-heptadienal, and (E)-2-octanal were important compounds contributing to the aroma quality of TGY. The results enriched the theoretical basis of aroma substances in TGY and could also provide theoretical guidance for consumers to choose tea.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/foods11111530/s1. Figure S1: Information on the tea samples.

Author Contributions

S.J., Y.F. and Y.X. conceived and designed the experiments; L.Z., Y.F., J.W., J.H., J.Y. and Y.X. performed the experiments; L.Z., S.J. and Y.F. analyzed the data; L.Z. and Y.F. wrote the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Natural Science Foundation of Zhejiang (LQ20C160009), the Key Research and Development Program of Zhejiang (2022C02033), and the Innovation Project for the Chinese Academy of Agricultural Sciences.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. GC–MS total ion chromatogram of aroma components in the four tea varieties sampled.
Figure 1. GC–MS total ion chromatogram of aroma components in the four tea varieties sampled.
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Figure 2. GC−MS analysis results of Tieguanyin and other varieties. (A) The score scatter plots of PLS−DA of TGY and four other varieties. (B) Validation of the PLS−DA model. (C) Heatmap of differential substances in different varieties. TGY: Tieguanyin, HD: Huangdan, BYQL: Baiyaqilan, ZPSX: Zhangpinshuixian. Figure 2B: The vector value of R2 (0.0, 0.445) and Q2 (0.0, −0.251) from 200permutations, which indicated that this PLS−DA model was not overfitting. Figure 2C: The contents of compounds in group a were lower in TGY, the content of compounds in group b was higher in TGY.
Figure 2. GC−MS analysis results of Tieguanyin and other varieties. (A) The score scatter plots of PLS−DA of TGY and four other varieties. (B) Validation of the PLS−DA model. (C) Heatmap of differential substances in different varieties. TGY: Tieguanyin, HD: Huangdan, BYQL: Baiyaqilan, ZPSX: Zhangpinshuixian. Figure 2B: The vector value of R2 (0.0, 0.445) and Q2 (0.0, −0.251) from 200permutations, which indicated that this PLS−DA model was not overfitting. Figure 2C: The contents of compounds in group a were lower in TGY, the content of compounds in group b was higher in TGY.
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Figure 3. (A) Composition proportion of aroma of Tieguanyin with different fermentations. (B) Proportion of aroma types of Tieguanyin with different fermentations. HF: heavy fermentation, LF: low fermentation.
Figure 3. (A) Composition proportion of aroma of Tieguanyin with different fermentations. (B) Proportion of aroma types of Tieguanyin with different fermentations. HF: heavy fermentation, LF: low fermentation.
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Figure 4. GC−MS analysis results of differently fermented Tieguanyin. (A) The score scatter plots of PLS−DA of TGY. (B) Validation of the PLS−DA model. (C) Heatmap of differential substances in different fermentation Tieguanyin. HF: heavy fermentation, LF: low fermentation. Figure 4B: The vector value of R2 (0.0, 0.258) and Q2 (0.0, −0.16) from 200permutations, which indicated that this PLS−DA model was not overfitting.
Figure 4. GC−MS analysis results of differently fermented Tieguanyin. (A) The score scatter plots of PLS−DA of TGY. (B) Validation of the PLS−DA model. (C) Heatmap of differential substances in different fermentation Tieguanyin. HF: heavy fermentation, LF: low fermentation. Figure 4B: The vector value of R2 (0.0, 0.258) and Q2 (0.0, −0.16) from 200permutations, which indicated that this PLS−DA model was not overfitting.
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Figure 5. (A) Composition proportion of TGY aromas in different grades. (B) Proportion of aroma types of TGY in different grades. T: special grade, F: first grade.
Figure 5. (A) Composition proportion of TGY aromas in different grades. (B) Proportion of aroma types of TGY in different grades. T: special grade, F: first grade.
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Figure 6. GC–MS analysis results of different grades of Tieguanyin. (A) The score scatterplots of PLS–DA of TG. (B) Validation of the PLS–DA model. (C) Heatmap of differential substances in different grades. T: special grade, F: first grade. Figure 6B: The vector value of R2 (0.0, 0.561) and Q2 (0.0, −0.138) from 200permutations, which indicated that this PLS−DA model was not overfitting.
Figure 6. GC–MS analysis results of different grades of Tieguanyin. (A) The score scatterplots of PLS–DA of TG. (B) Validation of the PLS–DA model. (C) Heatmap of differential substances in different grades. T: special grade, F: first grade. Figure 6B: The vector value of R2 (0.0, 0.561) and Q2 (0.0, −0.138) from 200permutations, which indicated that this PLS−DA model was not overfitting.
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Table 1. Identified volatile compounds in Tieguanyin.
Table 1. Identified volatile compounds in Tieguanyin.
Retention TimeVolatile CompoundsRIID aOdor TypeOdor Description b
2.0713-Methyl-furan594MS, RIRoasted/
2.385Acetic acid613RIChemicalStrong odor of vinegar
2.5163-Methyl-butanal621MS, RIFruityApple-like
2.6242-Methyl-butanal627MS, RIRoasted/
2.8561-Penten-3-ol641MS, RIGreenGrassy-green
2.9121-Penten-3-one645MS, RIChemicalPenetrating
3.060Pentanal654MS, RIChemicalStrong, acrid, pungent odor
3.1242-Ethyl-furan657MS, RIRoastedSmoky burnt
3.7093-Methyl-butanenitrile693MS, RI//
3.714Acetal693MS, RIFloralPleasant odor
4.0082-Methyl-butanenitrile711RI/odorless
4.244(E)-2-Pentenal725MS, RIGreenPungent green
4.514Toluene741MS, RIChemicalBenzene-like
4.709(Z)-2-Penten-1-ol753MS, RIGreenGreen diffusive
5.520Hexanal801MS, RIGreenStrong, green
5.521n-Butyl acetate801RIFruityFruity
6.0153-Ethyl-1H-pyrrole812MS, RIRoasted/
6.4142-Ethyl-2-butenal821RIGreenGrassy green
6.556n-Pentyl formate824RIFruityPlum-like
6.815Furfural830MS, RIRoastedAlmond-like
7.600(E)-2-Hexenal848MS, RIGreenVegetable-like
7.868Ethylbenzene855MS, RIFloralAromatic
8.2371,3-Dimethyl-benzene863MS, RIFloralSweet
8.4641-Hexanol868MS, RIGreenSweet alcohol
9.264Styrene887RIFloralFloral
9.4562-Heptanone891MS, RIFruityFruity
9.849(Z)-4-Heptenal900MS, RIGreenFatty, green
9.951Heptanal902MS, RIGreenPenetrating fruity
10.547Acetylfuran912MS, RIRoastedCoffee-like
11.353Methyl hexoate925RIFruityPineapple
11.353Methyl (Z)-3-hexenoate925MS, RIFruityFruity
13.092(E)-2-Heptenal954MS, RIGreenPungent green
13.147Benzaldehyde955MS, RIRoastedAlmond
13.6715-Methyl-2-furancarboxaldehyde963MS, RIRoastedCaramellic
14.1481-Heptanol971MS, RIGreenFragrant
14.6661-Octen-3-ol980MS, RIChemicalSweet earthy
15.1146-Methyl-5-Hepten-2-one987MS, RIGreenGreen citrus-like
15.297β-Myrcene990MS, RIWoody/
15.678(E,E)-2,4-Heptadienal996MS, RIChemicalFatty, green
15.774n-Butyl butanoate998RIFruityFruity, pineapple-
16.082Octanal1003MS, RIFruityStrong, fruity
17.0251,2,3-Trimethyl-benzene1016MS, RIChemicalAromatic
17.284o-Cymene1020MS, RIFloralAromatic
17.528D-Limonene1024MS, RIFruityCitrus odor
17.7201,3-Dichloro-benzene1027RIFloralAromatic
17.9412-Ethyl-1-hexanol1030MS, RIFloralFloral
18.197Benzyl alcohol1034MS, RIFruityFaint aromatic
18.607Benzeneacetaldehyde1040MS, RIFloralGreen floral and sweet
19.0001-Ethyl-2-formylpyrrole1046MS, RIRoastedburnt smokey
19.087β-Ocimene1047MS, RIFloral/
19.739(E)-2-Octenal1056MS, RIGreenFatty, green aroma
20.105Acetophenone1062RIFruityOranges
20.652cis-Furan linalool oxide1070MS, RI//
20.8471-Octanol1073MSFloralPenetrating Aromatic
21.755(E)-Linalool oxide (furan)1086MS, RIFloral/
21.7902-Methoxy-phenol1087RIRoastedSmoky
22.729Linalool1100MS, RIFloralFloral odor
23.020Hotrienol1105MS, RIFloralMouldy
23.451Phenylethyl Alcohol1111MS, RIFruityHoney-like
23.805(E)-4,8-Dimethylnona-1,3,7-triene1116RI//
25.190Benzyl nitrile1136MS, RIFloralAromatic
25.8825-Ethyl-6-methyl-3(E)-hepten-2-one1146RI//
27.343trans-Linalool 3,7-oxide1167MS, RI//
28.265Octanoic acid1180RIChemicalUnpleasant
28.733α-Terpineol1187MS, RIFloralPleasant, floral
28.7361-Furfurylpyrrole1187MS, RIRoastedVegetable aroma
28.864Methyl salicylate1189MS, RIGreenWintergreen
29.059trans-3,7-Dimethyl-1,5-octadien-3,7-diol1192MS, RI//
29.257β-Safranal1195MS, RIGreenGreen-floral
29.969Decanal1205MS, RIFloralFloral-fatty odor
30.2052,4-Dimethyl-benzaldehyde1208MS, RIRoastedBitter-almond
30.671β-Cyclocitral1215MS, RIWoody/
31.828(3Z)-3-Hexenyl 2-methylbutanoate1233RI//
32.174Isovaleric acid, dodecyl ester1238RIFruityFruity
33.137β-Cyclohomocitral1252MS, RI//
33.370Geraniol1256MS, RIFloralSweet rose odor
33.693(E)-2-Decenal1260MS, RIGreenGreen, fatty
34.313Citral1270MS, RIFruityStrong lemon
35.648Indole1290MS, RIFloralLight jasmine
35.982(2-nitroethyl)-benzene1294MS, RI//
36.2012-Methylnaphthalene1298RI//
40.3312-Undecenal1362MS, RIFruityOrange peel
40.8083-hydroxy-2,2,4-trimethylpentyl isobutyrate1370MS, RI/Characteristic
41.568β-Damascenone1382MS, RIFruityFloral, fruity
41.585cis-3-Hexenyl hexanoate1382MS, RIGreenFruity green
41.917n-Hexyl hexanoate1387MS, RIGreenHerbaceous
42.467Jasmone1396MS, RIFloralOdor of jasmine
42.702Dodecanal1399RIChemicalFatty
44.032Syrfynol 1041425MS, RI//
44.279α-Ionone1430MS, RIFloral/
45.256β-Phenylethyl butyrate1448MS, RIFruity/
45.422Octyl-cyclohexane1452RI//
46.4813-Methyltetradecane1472RI//
47.1681-Dodecanol1485RIFruitySweet
47.220α-Curcumene1486RI//
47.3572,6-Di-tert-butylbenzoquinone1489RI//
47.607Jasmine lactone1494MS, RIRoastedCoconut-fruity
48.166α-Farnesene1509MS, RIFruityCitrus, herbal, lavender-like
48.3552,4-Di-tert-butylphenol1517MS, RI//
48.512β-Sesquiphellandrene1524MS, RI//
49.664(E)-Nerolidol1571MS, RIFloralRose apple
50.324Txib1599MS, RIChemicalMusty
50.342Cedrol1599RIFruityCedar-like
51.264Methyl jasmonate1654MS, RIFloralPowerful floral-herbaceous, sweet aroma
51.704n-Hexyl salicylate1680MS, RI//
53.016Benzyl Benzoate1772MS, RIFloralFaint, pleasant
53.339Ethyl myristate1796MS, RIChemicalWaxy
53.729Isopropyl myristate1828MS, RI/Odorless
53.883Neophytadiene1842MS, RI//
53.970Phytone1849MS, RI//
54.084Caffeine1859MS, RI/Odorless
54.287Diisobutyl phthalate1876MS, RIChemicalSlight ester
54.872Methyl palmitate1926MS, RIChemicalOily, waxy, fatty
54.8987,9-Di-tert-butyl-1-oxaspiro (4,5) deca-6,9-diene-2,8-dione1928MS, RI//
55.329Dibutyl phthalate1965MS, RIFloralSlight, aromatic
55.591Hexadecanoic acid, ethyl ester1987MS, RIFloralSlight, aromatic
56.725Methyl linolenate2083MS, RI//
56.929Phytol2101MS, RIFloralFloral, balsam, powdery, waxy
‘/’, information was not found in the literature. a: Identification methods. MS, identification based on the NIST14.L; RI, retention index. b: Odor description found in the literature with database (Flavornet; https://pubchem.ncbi.nlm.nih.gov/ (accessed on 10 January 2022).
Table 2. The key compounds associated with Tieguanyin and other varieties with significantly high odor-activity values (VIP > 1).
Table 2. The key compounds associated with Tieguanyin and other varieties with significantly high odor-activity values (VIP > 1).
Volatile CompoundsACI (%)OT
(μg/L)
TGY-1TGY-2TGY-3TGY-4TGY-5HD-1HD-2BYQLZPSX-1ZPSX-2
3-Methyl-butanal0.020.030.020.030.030.060.060.520.080.081.1
1-Penten-3-one0.100.100.080.090.090.040.070.020.020.0323
(E)-2-Pentenal0.000.000.000.000.000.000.000.000.000.00980
(E)-2-Hexenal0.010.010.010.010.010.020.030.040.020.0219.2
Ethylbenzene0.000.000.000.000.000.000.000.000.000.00220.5
1-Hexanol0.010.010.010.010.010.020.030.060.040.035.6
2-Heptanone0.000.000.000.000.000.000.000.000.010.00140
(Z)-4-Heptenal0.000.000.000.000.000.000.000.000.000.00900
Heptanal0.540.600.530.660.510.360.540.190.210.192.8
Methyl (Z)-3-hexenoate0.000.000.000.000.000.000.000.000.000.0070
(E)-2-Heptenal0.190.210.170.220.160.130.170.090.080.072.8
1-Heptanol0.000.010.010.010.010.020.020.020.050.015.4
1-Octen-3-ol0.320.340.340.390.340.740.670.670.650.421.5
(E,E)-2,4-Heptadienal2.462.842.603.151.931.161.990.610.260.2415.4
2-Ethyl-1-hexanol0.000.000.000.000.000.000.000.000.000.0025,480
β-Ocimene0.010.010.010.010.010.020.020.040.010.0134
(E)-2-Octenal8.518.868.2710.146.455.186.923.132.992.860.2
cis-Furan linalool oxide0.000.000.000.000.000.000.000.010.000.00320
1-Octanol0.000.000.000.000.000.000.000.000.000.00125.8
(E)-Linalool oxide (furan)0.000.000.000.000.000.000.000.000.000.00320
Linalool17.9521.6017.4222.3620.3522.3526.5625.4929.3839.530.22
β-Safranal0.010.020.020.020.020.040.040.230.100.103
Decanal0.040.030.030.050.030.040.060.040.040.043
(E)-2-Decenal0.150.100.190.180.110.160.112.841.311.350.4
Citral0.000.000.000.000.000.000.000.030.010.01400
Indole1.351.341.791.971.391.600.550.220.710.4440
α-Farnesene0.050.040.040.060.030.030.020.020.010.0187
(E)-Nerolidol0.200.160.180.250.130.170.070.030.070.05250
Methyl jasmonate0.010.010.010.010.010.030.010.010.040.043
n-Hexyl salicylate0.000.000.000.000.000.000.000.000.000.0073
Methyl palmitate0.000.000.000.000.000.000.000.000.000.0019,000
OT: odor thresholds in water were obtained from [33]. TGY: Tieguanyin, HD: Huangdan, BYQL: Baiyaqilan, ZPSX: Zhangpinshuixian. Aroma character impact (ACI): a ratio of odor-activity in a mixture and is more useful for comparing the contribution of the individual components to the overall aroma.
Table 3. The key compounds responsible for the different grades of TGY with significantly high odor-activity values (VIP > 1).
Table 3. The key compounds responsible for the different grades of TGY with significantly high odor-activity values (VIP > 1).
Volatile CompoundsACI (%)OT
(μg/L)
T-1T-2T-3T-4T-5F-1F-2F-3F-4F-5
Acetal0.000.000.000.000.000.000.000.000.000.0080
3-Ethyl-1H-pyrrole0.000.000.000.000.000.000.000.000.000.0010,000
Benzaldehyde0.000.000.000.000.000.000.000.000.000.00750.89
(E,E)-2,4-Heptadienal1.231.642.091.441.262.192.171.682.052.0015.4
o-Cymene0.060.060.060.040.030.060.040.030.030.0311.4
2-Ethyl-1-hexanol0.000.000.000.000.000.000.000.000.000.0025,480
Benzyl alcohol0.000.000.000.000.000.000.000.000.000.00254.6
Benzeneacetaldehyde2.191.393.203.92.251.250.900.831.081.146.3
β-Ocimene0.010.010.010.010.010.010.010.010.000.0034
(E)-2-Octenal5.466.317.215.774.919.107.886.367.586.830.2
cis-Furan linalool oxide0.010.010.010.010.010.010.010.010.010.01320
1-Octanol0.000.000.000.000.000.000.000.000.000.00125.8
Hotrienol0.080.060.160.060.060.060.060.050.060.04110
Phenylethyl alcohol0.010.000.010.010.010.000.000.000.000.00564
trans-Linalool 3,7-oxide0.000.000.000.000.000.000.000.000.000.00190
β-Cyclocitral0.140.190.170.140.130.260.220.170.170.173
β-Phenylethyl butyrate0.000.000.000.000.000.000.000.000.000.00376
α-Farnesene0.010.020.020.030.020.020.010.020.020.0287
(E)-Nerolidol0.100.130.120.170.110.060.070.100.090.09250
n-Hexyl salicylate0.000.000.000.000.000.000.000.000.000.0073
Benzyl Benzoate0.000.000.000.000.000.000.000.000.000.00341
Methyl palmitate0.000.000.000.000.000.000.000.000.000.0019,000
OT: odor thresholds in water were obtained from [33]. Aroma character impact (ACI): a ratio of odor-activity in a mixture and is more useful for comparing the contribution of the individual components to the overall aroma.
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Zeng, L.; Fu, Y.; Huang, J.; Wang, J.; Jin, S.; Yin, J.; Xu, Y. Comparative Analysis of Volatile Compounds in Tieguanyin with Different Types Based on HS–SPME–GC–MS. Foods 2022, 11, 1530. https://doi.org/10.3390/foods11111530

AMA Style

Zeng L, Fu Y, Huang J, Wang J, Jin S, Yin J, Xu Y. Comparative Analysis of Volatile Compounds in Tieguanyin with Different Types Based on HS–SPME–GC–MS. Foods. 2022; 11(11):1530. https://doi.org/10.3390/foods11111530

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Zeng, Lin, Yanqing Fu, Jinshui Huang, Jianren Wang, Shan Jin, Junfeng Yin, and Yongquan Xu. 2022. "Comparative Analysis of Volatile Compounds in Tieguanyin with Different Types Based on HS–SPME–GC–MS" Foods 11, no. 11: 1530. https://doi.org/10.3390/foods11111530

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