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Abstract 


The effect of puffing treatment on the volatile components of green tea has been studied. A total of 155 volatile compounds were identified by using HS-SPME and SPE extraction methods, combined with gas chromatography-mass spectrometry (GC-MS). The total concentration of volatile compounds in puffed green tea increased by 2.25 times compared to that in before puffing. 12 key volatile compounds in green tea were identified before and after puffing using a combination of multivariate statistical analysis, GC-O, AEDA dilution analysis, and relative odor activity value (rOAV). The puffing process generates the Maillard reaction, where sugars react with amino acids to produce Maillard reaction products (such as pyrazine, pyrrole, furan, and their derivatives), giving them a unique baking aroma. The proportion of these compounds in the total volatile matter increased. The research results provided guidance and a theoretical basis for improving the aroma processing of green tea.

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Food Chem X. 2024 Oct 30; 23: 101746.
Published online 2024 Aug 16. https://doi.org/10.1016/j.fochx.2024.101746
PMCID: PMC11386056
PMID: 39257491

Effect of puffing treatment on volatile components of green tea explored by gas chromatography–mass spectrometry and gas chromatography-olfactometry

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Abstract

The effect of puffing treatment on the volatile components of green tea has been studied. A total of 155 volatile compounds were identified by using HS-SPME and SPE extraction methods, combined with gas chromatography–mass spectrometry (GC–MS). The total concentration of volatile compounds in puffed green tea increased by 2.25 times compared to that in before puffing. 12 key volatile compounds in green tea were identified before and after puffing using a combination of multivariate statistical analysis, GC-O, AEDA dilution analysis, and relative odor activity value (rOAV). The puffing process generates the Maillard reaction, where sugars react with amino acids to produce Maillard reaction products (such as pyrazine, pyrrole, furan, and their derivatives), giving them a unique baking aroma. The proportion of these compounds in the total volatile matter increased. The research results provided guidance and a theoretical basis for improving the aroma processing of green tea.

Keywords: Green tea, Puffing, Gas chromatography-olfactometry, Relative odor activity value

1. Introduction

Tea is made from the leaves of the tea plant (Camellia sinensis). It has become one of the most widely accepted and consumed beverages worldwide, second only to water, due to its health benefits and unique flavor. Green tea is one of the six major types of tea and is categorized as an unfermented tea (Baba & Kumazawa, 2014). It is one of the most popular tea in the world due to its unique flavor and health benefits (Murugesh et al., 2017). Aroma is one of the important factors affecting the quality of tea (Lin et al., 2023). The unique processing techniques resulted in green tea having a lower aroma concentration among the six major types of tea (Feng et al., 2019). Over 600 volatile compounds have been discovered in tea, with about 260 volatile compounds isolated and identified in green tea specifically. The aroma of tea is mainly formed through four pathways: the hydrolysis of glycosides, the degradation of carotenoids, the degradation of lipids, and the Maillard reaction that occurs during the processing phase (Ho et al., 2015; Yin et al., 2022). Puffing is a food processing technology that rapidly expands raw materials by heating and changing pressure, causing the moisture in food raw materials to quickly evaporate (Jia et al., 2021). Previous studies in our laboratory had investigated the effects of puffing on the non-volatile compounds in tea stems, finding that both the umami and astringency values decreased after puffing. The contents of EGC, EGCG, EC, and catechins were reduced, as well as the levels of amino acids and most flavonoids (Wang et al., 2024). However, the effect of puffing on the volatile components of green tea is unclear.

Common extraction methods for volatile compounds in tea include Simultaneous Distillation Extraction (SDE), Headspace Solid-Phase Microextraction (HS-SPME), Solid Phase Extraction (SPE), Solvent Assisted Flavor Evaporation (SAFE), and Stir Bar Sorptive Extraction (SBSE) (Zhai et al., 2022). As a solvent-free and efficient method, HS-SPME combines extraction and concentration into one step and is consistently applied in the analysis of low molecular weight, highly volatile tea compounds (Zeng et al., 2022). By preparing concentrated solutions through SPE and using split and splitless injections, better sensitivity was achieved for compounds with lower volatility (Feng et al., 2019). Gas Chromatography-Mass Spectrometry (GC–MS) is an extremely effective method for the identification of volatile compounds (Yang et al., 2013). Furthermore, Gas Chromatography-Olfactometry-Mass Spectrometry (GC-O-MS) can rapidly identify aroma compounds and is widely applied in green tea, fruit wines, and other foods (Shi et al., 2022; Yang et al., 2021). The FD factor is defined as the maximum dilution degree at which odor-active substances can be detected by olfaction during the Aroma Extract Dilution Analysis (AEDA) process (Xu et al., 2021). The higher the FD factor, the greater its contribution to the aroma characteristics. Generally, volatile compounds with an FD factor ≥ 32 can be considered as potential aroma-active compounds (Zhu et al., 2016).

This experiment investigated the effect of puffing treatment on the volatile components of green tea by gas chromatography–mass spectrometry (GC–MS) and gas chromatography–mass spectrometry (GC-O) techniques. These results were used to explore how the puffing treatment changes the composition of volatile compounds in green tea and the effect of these changes on the aroma characteristics of green tea. By conducting an in-depth analysis of these effects, the findings hope to provide a scientific basis for the optimization of green tea processing techniques and quality control, ultimately improving the aroma quality of green tea.

2. Materials and methods

2.1. Experimental material

Green tea samples were purchased from Hangzhou Saina Tea Co. on Nov. 8, 2022.

Puffing process: Added a certain amount of 40–80 mesh fine sand to the frying machine (running at 15 r/min, Type 5 computerized frying machine, Changzhou, China) for preheating. After reaching the set temperature, green tea was added to the preheated environment, poured out and sieved quickly after 10 s. The tea samples were packed into aluminum foil bags when they cooled to room temperature. The original (CK) and puffed tea (PT) samples were sealed and stored in a refrigerator at −20 °C, after which the aroma evaluation was performed.

2.2. Chemicals

Theanine (Thea), lysine (Lys), leucine (Leu), alanine (Ala), glycine (Gly), glutamine (Gln), aspartic acid (Asp), valine (Val), serine (Ser), histidine (His), threonine (Thr), proline (Pro), glutamic acid (Glu), cysteine (Cys), arginine (Arg), tyrosine (Tyr), and phenylalanine (Phe) (Wako Pure Chemical Industries, Ltd. Kanagawa, Japan). D-arabitol, xylitol, L-rhamnose, L-fucose, d-fructose, D-galactose, glucose, D-sorbitol, myo-inositol, sucrose, lactose, maltose, and trehalose standards (purity >99%) (Shanghai Anpu Experimental Science and Technology Co., Ltd. Shanghai, China). methyl tert-butyl ether (MTBE), ethyl caprate, methanol, isopropanol (chromatographic grade, Merck,). BSTFA (99%, Aladdin, USA), methoxyamine hydrochloride, pyridine (99%, Sigma-Aldrich, USA), n-hexane (chromatographic grade, CNW, Shanghai, China), anhydrous ethanol, and sodium chloride (China National Pharmaceutical Group Chemical Reagents Co., Ltd., Shanghai, China); N-alkanes (C7–C40) were purchased from Sigma-Aldrich (St. Louis, MO, USA).

2.3. Sensory description analysis

An 8-member sensory evaluation panel consisting of 4 males and 4 females, all of whom possess tea sensory evaluation capabilities and have obtained national intermediate tea taster certificates, was selected from the State Key Laboratory of Tea Biology and Utilization at Anhui Agricultural University. According to GB/T 23776–2018, the sensory evaluation of tea mainly included the aroma of tea infusion. The panelists selected six aromas— chestnut, faint scent, sweet, floral, fired beans, and aroma intensity—after obtaining a preliminary understanding of the aromatic profiles of green tea. During the initial assessment, odor attributes were recorded and rated on a scale of 1 to 10. The final score for each sample was calculated by averaging the scores given by each evaluation panel member. The sensory aroma profile was measured using the average scores, and all sensory experiments were conducted more than three times.

2.4. Ethical statements

Ethical permission, to conduct a human sensory study, was granted by our institution. Participants gave informed consent via the statement “I am aware that my responses are confidential, and I agree to participate in this sensory evaluation” where an affirmative reply was required to enter the sensory evaluation. They were able to withdraw from the sensory evaluation at any time without giving a reason. The tea products evaluated were safe for consumption.

2.5. Extraction of volatiles by HS-SPME

Weighed 10 μg of ethyl caprate and diluted with ethanol to 10 mL to prepare a stock solution at 1000 ppm as the primary internal standard. This solution was stored in a freezer at −20 °C. Then, the internal standard was diluted to 5 ppm for use in analysis. Weighed 6 g of tea sample and place it into a 500 mL conical flask. Then, add 300 mL of boiling water to the flask to steep the tea for 5 min. Filter the tea infusion into a 500 mL conical flask using a cloth and then cool the flask in an ice water bath. Use a pipette to transfer 10 mL of the cooled tea infusion into a headspace vial. Add 3 g of NaCl and 2 μL of the internal standard to the vial and shake the mixture to ensure thorough mixing. Place the headspace vial in a water bath set at 30 °C to equilibrate for 15 min. After equilibration, insert the extraction needle into the vial, exposing the SPME fiber to the headspace above the liquid. Allow the fiber to adsorb the volatile compounds for 30 min (Huang et al., 2022).

2.6. Separation and extraction of volatiles by SE-SPE

Weighed 6 g of tea sample and brew with 300 mL boiling water for 5 min. Then filter the tea infusion into a 500 mL conical flask with a filter cloth, and cool it to room temperature in an ice-water bath. Add 1 μL of 1000 ppm internal standard to the cooled tea broth, and SPE extraction was performed according to (Feng et al., 2019).

GC–MS analysis conditions: The GC–MS system was consistent with SPME-GC–MS, and an Agilent 7890B gas chromatograph was connected to an Agilent 5975B mass spectrometer, and an Agilent Masshunter was used to control and operate the GC–MS system. Compounds were separated using a DB-5MS (30 m × 0.25 mm × 0.25 μm) capillary column. The carrier gas was pure helium with a purity of 99.999%. The ion source temperature was 230 °C and the GC inlet temperature was 250 °C. The following temperature program was used: hold at 40 °C for 5 min, increase to 120 °C at a rate of 5 °C / min keep for 3 min, increase to 250 °C at a rate of 8 °C / min keep for 5 min, and increase to 280 °C at a rate of 10 °C / min keep for 3 min.

2.7. Separation and identification of volatile compounds by GC–MS

Volatile compounds in the samples were identified by matching the retention indices (RI) of the mass spectra and spectral components to reference standards in the NIST 20 MS database. AMDIS was used for deconvolution (Huang et al., 2022). When SPME-GC–MS and SPE-GC–MS detected the same volatile compounds, the quantitative results from SPE-GC–MS were used as the primary results. Semi-quantification of the identified volatile compounds was performed using ethyl decanoate as an internal standard.

2.8. Characterization of key aroma of tea by GC–MS/O and AEDA techniques

Aroma-active compounds in the samples were analyzed using an Agilent 7890B gas chromatograph and olfactometry system (Sniffer 9100, Brechbühler, Switzerland). GC-O analysis was performed on a DB-5MS column with instrumental parameter settings consistent with those of SPME-GC–MS and SPE-GC–MS. SPE-extracted samples were diluted using a mixture of pentane and MTBE (1:1) (dilutions of 2, 4, 8.... 0.128) with an injection volume of 4 μL. Each diluted sample was described by sniffing by three sensory evaluators with more than six months of odor training until no odorous compounds were detected in the GC-O experiments. The flavor dilution factor (FD) was determined for each volatile compound, and the final dilution at which an odor could be smelled was the final FD value (Wu et al., 2022).

2.9. Calculation of relative odor activity values

The rOAV of each volatile compound was calculated using the ratio of the concentration of each volatile compound to its corresponding odor threshold in water (Liu et al., 2023). ROAV is referenced in the formula (Li et al., 2024). Volatile compounds with an rOAV >1 are considered to be aroma-active compounds contributing to the overall aroma of the sample (Xiao et al., 2022).

2.10. Determination of free amino acids by high-speed amino acid analyzer

Sample preparation was modified according to (Ren et al., 2021). Accurately weighed 0.100 g of ground tea powder, added 4 mL of 4% sulfosalicylic acid was fully extracted by ultrasonication for 30 min, centrifuged at 12000 r/m for 30 min, and the supernatant was assayed by a high-speed amino acid analyzer (L-8900, Hitachi). The mobile phase was lithium citrate with UV–Vis detection at 570 nm and 440 nm. The flow rate of the mobile phase was 0.35 mL/min, and the flow rate of the derivatization reagent was 0.3 mL/min. The column oven was set at 38 °C, and the post-column development equipment was kept at 130 °C. The injection volume of both standards and samples was 20 μL. The peak areas of the compounds were compared with the peaks of each amino acid standard. The experiment was repeated three times for each sample.

2.11. Determination of soluble sugars

The freeze-dried materials were crushed using a mixer mill (MM 400, Retsch) with a zirconia bead for 1.5 min at 30 Hz. 20 mg of powder was diluted to a 500 μL with methanol: isopropanol: water (3:3:2, v/v/v), vortexed for 3 min and ultrasound for 30 min. The extract was centrifuged at 12,000 rpm under 4 °C for 3 min. 50 μL of the supernatant was mixed with 20 μL internal standard (1000 μg/mL) and evaporated under a nitrogen gas stream. The evaporated sample was transferred to the lyophilizer for freeze-drying. The residue was used for the further derivatization.

The derivatization method was as follows: the sample was mixed with a 100 μL solution of methoxyamine hydrochloride in pyridine (15 mg/mL). The mixture was incubated at 37 °C for 2 h. Then 100 μL of BSTFA was added into the mixture and kept at 37 °C for 30 min after vortex-mixing. The mixture was analyzed by GC–MS after diluting to an appropriate concentration (Gómez-González et al., 2010; Zeng et al., 2022; Zheng et al., 2016).

Agilent 8890 gas chromatograph coupled to a 5977B mass spectrometer with a DB-5MS column (30 m length × 0.25 mm i.d. × 0.25 μm film thickness, J&W Scientific, USA) was employed for GC–MS analysis of sugars. Helium was used as a carrier gas, at a flow rate of 1 mL/min. Injections were made in the split mode with a split ratio 5:1 and the injection volume was 1 μL. The oven temperature was held at 160 °C for 1 min and then raised to 200 °C at 6 °C/min, raised to 270 °C at 10 °C/min, raised to 300 °C at 5 °C/min, raised to 320 °C at 20 °C/min and held at the temperature for 5.5 min. All samples were analyzed in selective ion monitoring mode. The ion source and transfer line temperature were 230 °C and 280 °C, respectively.

2.12. Statistical analysis

Excel was used for statistical calculations. TBtools for cluster analysis and heat map. SPSS 25.0 was used for one-way ANOVA using Duncan's test and independent t-test, and differences were considered significant at P < 0.05. Origin 2017 plotted line graphs, bar graphs, and radar charts. SIMCA 14.1 performed multivariate statistical analysis of the data. Adobe Photoshop CC 2015.5 assembled the graphs. All experiments were repeated three times, and the results were expressed as mean ± standard deviation.

3. Result and discussion

3.1. Descriptive sensory analysis

Sensory scores were assigned to these six aroma characteristics in the samples before and after puffing treatment, with the results shown in Fig. 1. Faint scent, chestnut, and floral are the main aromas of green tea. However, the types of aromas in green tea undergo significant changes after puffing treatment. After puffing, the sweet, fried bean, roasted, and overall aroma intensity of green tea increased, while the inherent chestnut and faint scent aroma of green tea decreased. To further investigate the changes in aroma compounds, GC–MS analysis was conducted on the samples.

Fig. 1

Physical pictures of tea and tea infusion before and after puffing and radar chart for aroma evaluation.

3.2. Analysis of volatile compounds in green tea before and after puffing

By combining SPE and SPME extraction methods to extract volatile compounds, followed by analysis with GC–MS, 155 volatile compounds were identified from the samples using AMDIS deconvolution (Table S1). These volatile compounds were categorized into ten types, including 27 alcohols, 26 aldehydes, 27 ketones, 10 esters, 9 acids, 6 furans, 27 pyrroles and pyrazines, 15 others, 2 sulfides, and 6 phenols (Fig. 2a). Notably, the total concentration of volatile compounds in green tea significantly increased after puffing treatment. The total volatile compounds content in green tea was 426.91 μg/L, while that in puffed tea was 985.16 μg/L. The concentration of total volatile compounds in puffed tea was 2.25 times higher than that before puffing. During this process, the content of ketones and sulfides decreased, while the contents of alcohols, aldehydes, esters, acids, pyrazines, pyrroles, and furans significantly increased. It is worth noting that pyrazine compounds, which were not detected in green tea, constituted 18.65% of the total content in the puffed samples. After puffing treatment, the concentration of most compounds tended to increase, especially alcohols, esters, acids, pyrazines, and pyrroles, indicating that puffing treatment plays a significant role in enhancing the aroma of tea.

Fig. 2

Compound classification contents and multivariate statistical analysis charts before and after puffing.

To better screen for differential compounds, multivariate analysis was performed on the identified volatile compounds. OPLS-DA, as a supervised discriminant analysis method, is widely used in food research (Su et al., 2022). To further distinguish the differences in volatile compounds before and after puffing, the Variable Importance in Projection (VIP) values of volatile compounds were calculated based on the OPLS-DA regression model. A VIP value >1 indicates that the volatile compound has contribution to the tea. VIP ≥ 1 reflects the differences between samples and screens for key volatile compounds with significantly different concentrations in the samples. Based on VIP > 1 and p < 0.05, 92 differential volatile compounds were selected.

To visually present the changes in volatile components of the sample before and after puffing treatment, this study used heatmap analysis, and the results are shown in Fig. 3. The heatmap results revealed significant changes in the content of volatile compounds after puffing treatment. The trends in the concentration changes of volatile compounds can be divided into two categories: the first category includes compounds whose contents increased after puffing, and the second category includes compounds whose contents decreased. The first category primarily consists of degradation products of carotenoids, terpenoid glycoside degradation products, and Maillard reaction products. For example, 2,5-dimethylpyrazine, 2-ethyl-3,5-dimethylpyrazine, 2-ethyl-5-methylpyrazine, 3-ethyl-2,5-dimethylpyrazine, 2,6-dimethylpyrazine, 2-ethylfuran, 2-acetylpyrrole, benzyl alcohol, linalool, phenylacetaldehyde, 3-methylbutanal, 2-methylbutanal. Compounds dominated by fired beans, sweet, and floral aromas increase. Carotenoid degradation primarily occurs through non-enzymatic oxidative degradation pathways, and thermal degradation is the main method by which non-enzymatic oxidative degradation contributes to the aroma of green tea. The increase in compounds such as pyrazines is mainly due to Maillard reaction products obtained after the puffing treatment of the tea leaves (Ho et al., 2015). Linalool, as a terpenoid glycoside present in green tea, increases during the heating process through thermal decomposition (Sasaki et al., 2017). The second category of volatile compounds mainly includes aldehydes and alcohols, such as hexanal, heptanal, octanal, nonanal, (E)-2-heptenal, (Z)-4-heptenal, (E)-2-octenal, (E, E)-2,4-heptadienal, 1-penten-3-ol, etc., which contribute to the green, grassy, and fatty odors of the aldehydes and alcohols composition (Zhu et al., 2015). These compounds significantly decreased during the puffing process, possibly due to the thermal effects involved in puffing. The transformation of these volatile compounds reduced the intensity of the floral and faint scent in the green tea, which is consistent with the results of the sensory evaluation.

Fig. 3

Heatmap of volatile compounds in green tea before and after puffing. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

3.3. GC-O combined with AEDA to analyze key aroma compounds

GC-O (gas chromatography-Olfactometry) is a method that combines instrumental analysis with sensory analysis to detect aroma-active compounds In this technique, gas chromatography is combined with olfaction to effectively identify aroma compounds. AEDA (Aroma Extract Dilution Analysis) is one of the commonly used methods in GC-O technology for preliminary evaluation of the importance of aroma compounds (Egea et al., 2014).

By employing GC-O to olfactively analyze the aroma-active substances in SPE extracts and HS-SPME, important information about aroma characteristics can be obtained. SPE and HS-SPME are common techniques for extracting aroma components, which can effectively enrich and concentrate aroma-active compounds in the sample (Shen et al., 2023). The aroma compounds co-eluted with solvent in SE-SPE are analyzed through HS-SPME-GC-O olfactometry to complement the impact of low molecular weight, highly volatile aroma-active compounds on the aroma of tea.

The FD factor for each aroma active compound was obtained by AEDA analysis. The higher the FD factor value, the stronger the activity of the aroma-active compound at the same level, meaning it is more significant to human olfaction (Kang et al., 2019).

To identify aroma-active compounds, olfactory analysis of SPE extracts and HS-SPME samples was performed using GC-O, and 54 aroma-active compounds were identified (Table S2). The FD factors of these aroma-active substances were obtained through AEDA. The FD factors ranged from 2 to 1024. The FD values of the aroma-active compounds in the two samples were significantly different. These aroma-active compounds are primarily formed due to the hydrolysis of glycosides, degradation of carotenoids, degradation of lipids, and the Maillard reaction that occurs during the processing (Ho et al., 2015).

In the CK sample, the highest FD factors were found for α-ionone (floral aroma) and β-ionone (violet aroma), both with an FD factor of 64. This was followed by hexanal (grass, green), cis-4-heptenal (fishy), heptanal (green), and β-Damascenone (honey, fruity) with an FD factor of 32. These compounds are likely key sources of the floral and green odors in the CK. In the PT (puffed tea) samples, β-ionone (violet aroma) had the highest Flavor Dilution (FD) factor (1024), followed by β-Damascenone (516, honey, fruity), 2,6-dimethyl-Pyrazine (256, earthy, roasted nut), 3-ethyl-2,5-dimethyl-Pyrazine (256, roasted potato, nutty), Linalool (256, floral, citrus-like), 2,3-diethyl-5-methyl-Pyrazine (256, earthy, roasty), Indole (256, floral, animal-like), and α-Ionone (256, floral, violet-like). Compared to the CK samples, the PT samples contain more compounds with sweet, floral, and roasted aromas, and these compounds often have higher FD factors, which is consistent with the results of sensory evaluation. Additionally, two unknown aroma compounds, primarily characterized by spicy and green pepper odors, were detected in the PT samples; however, their structures are unclear. Subsequently, the samples were preliminarily screened for aroma-active compounds with FD ≥ 32, a total of 38 aroma-active compounds were screened (Table 1).

Table 1

Odor-active compounds in CK and PT samples in HS-SPME and SPE.

No.bOdorantsodor qualitycRIaFDd
identification methode
CKPT
HS-1Dimethyl sulfidecorn<600MS/RI/O
HS-23-Methy-butanalmalty<600MS/RI/O
HS-32-Methy-butanalmalty<600MS/RI/O
1hexanalGrassy, green792328MS/RI/O
22-Heptanonefruity, soapy891ND32MS/RI/O
3cis-4-heptenalfish-like,oil-like897328MS/RI/O
42,5-dimethylpyrazineRoasted, nutty912ND128MS/RI/O
5heptanalGreen, oily903328MS/RI/O
62,6-dimethyl-Pyrazineearthy, Roasted934ND256MS/RI/O
71-octen-3-onemushroom-like984432MS/RI/O
82-ethyl-6-methyl-Pyrazineroasted potato998ND128MS/RI/O
92-ethyl-5-methyl-Pyrazinenutty, roasted1002ND128MS/RI/O
10LimoneneCitrus, lemon1029ND256MS/RI/O
11BenzeneacetaldehydeFloral, honey-like10464128MS/RI/O
12(Z)-Linalool oxide (furanoid)floral1075464MS/RI/O
133-ethyl-2,5-dimethyl-PyrazineRoasted ,smoky1076ND256MS/RI/O
142-ethyl-3,5-dimethyl-PyrazinePeanut,roasted1083ND64MS/RI/O
152,5-diethyl-Pyrazinesweet1091ND128MS/RI/O
16LinaloolFloral, citrus-like110016256MS/RI/O
17Hotrienolfloral, fruity1103864MS/RI/O
18unknowncondiment1113ND64MS/RI/O
19Phenylethyl AlcoholFloral, rose-like11188128MS/RI/O
204-Oxoisophoronecostustoot11461664MS/RI/O
212,3-diethyl-5-methyl-Pyrazineearthy, roasty1151ND256MS/RI/O
223,5-diethyl-2-methyl-Pyrazinebell pepper-like1154ND128MS/RI/O
23unknownpepper1160ND128MS/RI/O
24(E)-Linalool oxide (pyranoid)Floral, honey-like1176832MS/RI/O
25safranalWoody, spicy11991632MS/RI/O
26β-cyclocitralclean, rose-like12172128MS/RI/O
27Nerolgreen, lemon-like1248432MS/RI/O
28GeraniolRose-like, honey-like1272ND32MS/RI/O
29IndoleFloral, animal-like129316256MS/RI/O
30β-Damascenonehoney-like, fruity138132512MS/RI/O
31cis-jasmoneflowery,coconut-like1394864MS/RI/O
32α-IononeFloral, violet-like142564256MS/RI/O
33Coumarinsweet1450432MS/RI/O
34β-iononeViolet-like,1481641024MS/RI/O
357-methoxycoumarinsweet1761464MS/RI/O

Note: aRI is calculated based on the retention times of the aroma compounds in a DB-5MS chromatographic column with normal alkanes (C7-C40); bThe numbering of aroma compound is based on their RI on the DB-5MS chromatographic column; cDescriptions of the aroma compounds are provided by the experimenter during the GC-O process; dThe FD (Flavor Dilution) factor is measured on the DB-5MS chromatographic column using AEDA; eMS: Mass Spectrometry, RI: Retention Index, O: Olfactometry Detection.

3.4. Screening of key differential compounds

Generally, rOAV value >1 indicates that the volatile compound makes a significant contribution to the aroma characteristics of the product (Xiao et al., 2022). The rOAV values were calculated for compounds with FD values ≥32. The analysis revealed that there were 16 volatile compounds with an rOAV >1 (Table 2), among which heptanal (rOAV = 140.9), dimethyl sulfide (rOAV = 97.46), cis-4-heptenal (rOAV = 20.62), etc., had higher rOAV values in CK compared to PT. In contrast, β-Ionone (rOAV = 124.76), 2,5-diethylpyrazine (rOAV = 70.39), 2,3-diethyl-5-methylpyrazine (rOAV = 53.06), β-damascenone (rOAV = 36.66), 3,5-diethyl-2-methylpyrazine (rOAV = 18.29), linalool (rOAV = 15.87), 2-ethyl-3,5-dimethylpyrazine (rOAV = 15.57), 3-methylbutanal (rOAV = 14.26), and 2-methylbutanal (rOAV = 14.29) had relatively higher rOAV values in PT, making them key compounds in PT. β-Ionone and β-damascenone are volatile compounds formed from the degradation of carotenoids during tea processing (Ho et al., 2015) and are key odorants of green tea aroma. Linalool, existing in green tea in the form of terpenoid glycosides, increases through thermal decomposition during the heating process (Sasaki et al., 2017). β-Ionone, linalool, and β-damascenone mainly contribute to floral and sweet aromas (Magagna et al., 2017; Wu et al., 2022), which are compounds that significantly contribute to the floral aroma. Heptanal and cis-4-heptenal provide fresh, green aromas, while dimethyl sulfide contributes to the formation of the faint scent of green tea (Flaig et al., 2020). 2,3-Diethyl-5-methylpyrazine, 2-methylbutanal, and 3-ethyl-2,5-dimethylpyrazine make significant contributions to the roasted bean and roasty aromas of green tea (Wang et al., 2022). 3-Methylbutanal and 2-ethyl-3,5-dimethylpyrazine are also key aroma components in Longjing tea (Gong et al., 2017). Heptanal, β-ionone, dimethyl sulfide, 2,5-diethylpyrazine, 2,3-diethyl-5-methylpyrazine, β-damascenone, linalool, (Z)-4-heptenal, 3,5-diethyl-2-methylpyrazine, 2-ethyl-3,5-dimethylpyrazine, 2-methylbutanal, and 3-methylbutanal were key differential aroma compounds in CK and PT samples.

Table 2

Thresholds and rOAV of key aroma compounds in CK and PT tea infusions.

NO.OdorantOdor qualityOT(μg/L in water)rOAV
CKPT
1β-iononefloral, violet-like0.021a70.82124.76
2heptanalGreen, grassy0.033c140.98.82
3Dimethyl sulfidecooked asparagus-like, putrid0.3a97.4661.29
4(Z)-4-heptenalfish-like, train oil-like0.06a20.626.58
5Linaloolcitrus-like, floral0.58a11.2115.87
63-methylButanalmalty0.5a4.8114.26
72-methylButanalmalty1.5a2.8414.29
8β-Damascenonehoney-like, fruity0.006a2.0236.66
92,5-diethyl-Pyrazinesweet0.02bND70.39
102,3-diethyl-5-methyl-Pyrazineearthy, roasty0.031aND53.06
112-ethyl-3,5-dimethyl-PyrazinePeanut, caramel, roasted0.28bND15.57
123,5-diethyl-2-methyl-Pyrazinebell pepper-like0.26bND18.29
13Coumarinwoodruff-like, almond paste-like11a0.751.26
142-ethyl-5-methyl-Pyrazinenutty, roasted16cND1.55
153-ethyl-2,5-dimethyl-PyrazineRoasted potato, cocoa-like25aND2.03
16Geraniolrose-like, citrus-like1.1a0.371.16

Note: a Values are from the Orthonasal Odor Threshold in Water from the Leibniz-LSB@TUM Odorant Database (https://www.leibniz-lsb.de/en/databases). b Referenced from (Yin et al., 2023); c Referenced from (Guo et al., 2021a).

3.5. The role of free amino acids and soluble sugars in the formation of volatile compounds

Amino acids and soluble sugars are important flavoring compounds in tea, and they also participate in the formation of volatile compounds in tea. The heatmap showed the changes of 18 free amino acids and 22 soluble sugars before and after tea puffing(Fig. 4). The figure indicated that both free amino acids and soluble sugars in tea exhibit a downward trend after puffing. The decrease in amino acids and sugars may be attributed to the thermal decomposition and breakdown of amino acids under the high temperatures of puffing, leading to their conversion into volatile substances or other compounds, thereby reducing their content. Amino acids and reducing sugars undergo a series of complex physicochemical changes during non-enzymatic browning reactions under certain conditions, such as the Maillard reaction and Strecker degradation, generating reduced ketones, aldehydes, and heterocyclic substances (Jiang et al., 2020). These reactions likely contribute to the reduced content of amino acids and sugars. l-glutamine, L-glutamic acid, isoleucine, and theanine-glucose are involved in the Maillard reaction, producing volatile substances like pyrazines and pyrroles (Li et al., 2023). The reaction between theanine and d-glucose generates volatile compounds such as methylpyrazine and 2,5-dimethylpyrazine, with L-theanine also participating in the formation of 2,5-dimethylpyrazine (Guo et al., 2018). Furthermore, L-theanine significantly contributes to the formation of 1-ethylpyrrole-2-carbaldehyde, while glucose and fructose are the main contributors to the Maillard reaction among soluble sugars (Yin et al., 2023). A total of 56 compounds were identified in a model system of theanine and glucose, with theanine participating in the formation of pyrazines characteristic of roasting and nutty profiles during the baking process (Li et al., 2022). Glycine, valine, phenylalanine, methionine, and alanine are important aroma precursors. They react with sugars during the Maillard reaction to produce volatile compounds containing pyrazine, pyrrole, or furan structures. Amino acids can also decarboxylate to form indoles and phenols and oxidize to produce alcohols (Guo et al., 2021b).

Fig. 4

Heatmap of changes in free amino acids and mono- and disaccharides before and after puffing.

4. Conclusion

The concentration and diversity of volatile compounds in green tea were significantly enhanced after puffing treatment. The increase in concentration of volatile compounds in tea leaves after puffing treatment increased from 426.91 μg/L in CK to 985.16 μg/L in PT. The total concentration of volatile compounds in green tea after puffing was 2.25 times higher than that before. 12 key aroma-differentiated compounds were identified, including heptanal, β-violetone, dimethyl sulfide, 2,5-diethylpyrazine, 2,3-diethyl-5-methylpyrazine, β-damascenone, linalool, (Z)-4-heptanal, 3,5-diethyl-2-methylpyrazine, 2-ethyl-3,5-dimethylpyrazine, 2-methylbutanal, and 3-methylbutanal. Furthermore, the Maillard reaction that occurs directly between free amino acids and soluble sugars during the puffing process plays an important role in the formation of volatile compounds in tea, especially pyrazines. In summary, the puffing process not only enhanced the aroma concentration of green tea but also provided important theoretical and technical support for improving the sensory quality and flavor profile of green tea.

CRediT authorship contribution statement

Leyin Cui: Writing – original draft, Methodology, Formal analysis, Data curation, Conceptualization. Xin Wang: Methodology, Formal analysis. Changxu He: Formal analysis, Data curation. Zhengquan Liu: Supervision, Investigation. Jin Liang: Writing – review & editing, Validation, Supervision, Resources, Project administration, Funding acquisition.

Declaration of competing interest

The authors declare no competing financial interest or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This study was supported by the National Key Research and Development Program of China (No.2021YFD1601103), the Natural Science Foundation of Anhui Province (No. 2108085MC122), the Natural Science Research Program of Anhui Universities (No. KJ2020A0136), and the Research Program on Teaching Reform of Graduate Education in Anhui Province (No. 2022jyjxggyj190).

Footnotes

Appendix ASupplementary data to this article can be found online at https://doi.org/10.1016/j.fochx.2024.101746.

Appendix A. Supplementary data

Supplementary material

Click here to view.(55K, docx)Image 1

Data availability

No data was used for the research described in the article.

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Anhui Agricultural University