ARTICLE   Open Access    

Identification and comparison of nonvolatile profiles of the four Keemun black tea types

More Information
  • Nonvolatile profiles of four Keemun black tea types (12 samples for each tea type), including Congou (CG), Maofeng (MF), Jinzhen (JZ), and Xiangluo (XL), were comprehensively analyzed using liquid chromatography coupled with a mass spectrometry system (UPLC-QTRAP-MS/MS). MF black teas had the highest taste score, followed by CG. Catechins and amino acids were lowly concentrated in JZ teas, while the theabrownine content was high. The TRs/TFs ratio in CG, MF, JZ, and XL were 10.5, 9.6, 11.6, and 11.1, respectively, all within adequate indexes. Eighty-seven nonvolatiles were identified and quantified, of which the total relative concentration was high in MF and CG. Flavonoid glycosides and hydroxycinnamoyl quinic acids decreased significantly in JZ and XL. Still, their conjugates kaempferol-3-O-di-p-coumaroylhexosides increased in JZ teas. Thermal treatments showed that hydroxycinnamoyl quinic acids decreased significantly as drying temperature moved up and high drying temperature enhanced the epimerization and polymerization of catechins. Furthermore, the metabolite profiles of bud, leaf, and stem black teas differed, and the refining procedure of CG teas balanced these taste and aroma compounds. The present study showed that the difference in manufacturing process changed metabolite profiles of Keemun black tea, and provided customers with an alterable flavor and consumption feature.
  • Grapevines are among the most widely grown and economically important fruit crops globally. Grapes are used not only for wine making and juice, but also are consumed fresh and as dried fruit[1]. Additionally, grapes have been increasingly recognized as an important source of resveratrol (trans-3, 5,4'-trihydroxystilbene), a non-flavonoid stilbenoid polyphenol that in grapevine may act as a phytoalexin. In humans, it has been widely reported that dietary resveratrol has beneficial impacts on various aspects of health[2, 3]. Because of the potential value of resveratrol both to grapevine physiology and human medicine, resveratrol biosynthesis and its regulation has become an important avenue of research. Similar to other stilbenoids, resveratrol synthesis utilizes key enzymes of the phenylpropanoid pathway including phenylalanine ammonia lyase (PAL), cinnamate 4-hydroxylase (C4H), and 4-coumarate-CoA ligase (4CL). In the final steps, stilbene synthase (STS), a type II polyketide synthase, produces trans-resveratrol from p-coumaroyl-CoA and malonyl-CoA, while chalcone synthase (CHS) synthesizes flavonoids from the same substrates[4, 5]. Moreover, trans-resveratrol is a precursor for other stilbenoids such as cis-resveratrol, trans-piceid, cis-piceid, ε-viniferin and δ-viniferin[6]. It has been reported that stilbenoid biosynthesis pathways are targets of artificial selection during grapevine domestication[7] and resveratrol accumulates in various structures in response to both biotic and abiotic stresses[812]. This stress-related resveratrol synthesis is mediated, at least partialy, through the regulation of members of the STS gene family. Various transcription factors (TFs) participating in regulating STS genes in grapevine have been reported. For instance, MYB14 and MYB15[13, 14] and WRKY24[15] directly bind to the promoters of specific STS genes to activate transcription. VvWRKY8 physically interacts with VvMYB14 to repress VvSTS15/21 expression[16], whereas VqERF114 from Vitis quinquangularis accession 'Danfeng-2' promotes expression of four STS genes by interacting with VqMYB35 and binding directly to cis-elements in their promoters[17]. Aided by the release of the first V. vinifera reference genome assembly[18], genomic and transcriptional studies have revealed some of the main molecular mechanisms involved in fruit ripening[1924] and stilbenoid accumulation[8, 25] in various grapevine cultivars. Recently, it has been reported that a root restriction treatment greatly promoted the accumulation of trans-resveratrol, phenolic acid, flavonol and anthocyanin in 'Summer Black' (Vitis vinifera × Vitis labrusca) berry development during ripening[12]. However, most of studies mainly focus on a certain grape variety, not to investigate potential distinctions in resveratrol biosynthesis among different Vitis genotypes. In this study, we analyzed the resveratrol content in seven grapevine accessions and three berry structures, at three stages of fruit development. We found that the fruits of two wild, Chinese grapevines, Vitis amurensis 'Tonghua-3' and Vitis davidii 'Tangwei' showed significant difference in resveratrol content during development. These were targeted for transcriptional profiling to gain insight into the molecular aspects underlying this difference. This work provides a theoretical basis for subsequent systematic studies of genes participating in resveratrol biosynthesis and their regulation. Further, the results should be useful in the development of grapevine cultivars exploiting the genetic resources of wild grapevines. For each of the seven cultivars, we analyzed resveratrol content in the skin, pulp, and seed at three stages of development: Green hard (G), véraison (V), and ripe (R) (Table 1). In general, we observed the highest accumulation in skins at the R stage (0.43−2.99 µg g−1 FW). Lesser amounts were found in the pulp (0.03−0.36 µg g−1 FW) and seed (0.05−0.40 µg g−1 FW) at R, and in the skin at the G (0.12−0.34 µg g−1 FW) or V stages (0.17−1.49 µg g−1 FW). In all three fruit structures, trans-resveratrol showed an increasing trend with development, and this was most obvious in the skin. It is worth noting that trans-resveratrol was not detectable in the skin of 'Tangwei' at the G or V stage, but had accumulated to 2.42 µg g−1 FW by the R stage. The highest amount of extractable trans-resveratrol (2.99 µg g−1 FW) was found in 'Tonghua-3' skin at the R stage.
    Table 1.  Resveratrol concentrations in the skin, pulp and seed of berries from different grapevine genotypes at green hard, véraison and ripe stages.
    StructuresSpeciesAccessions or cultivarsContent of trans-resveratrol (μg g−1 FW)
    Green hardVéraisonRipe
    SkinV. davidiiTangweindnd2.415 ± 0.220
    V. amurensisTonghua-30.216 ± 0.0410.656 ± 0.0432.988 ± 0.221
    Shuangyou0.233 ± 0.0620.313 ± 0.0172.882 ± 0.052
    V. amurensis × V. ViniferaBeibinghong0.336 ± 0.0761.486 ± 0.1771.665 ± 0.100
    V. viniferaRed Global0.252 ± 0.0510.458 ± 0.0571.050 ± 0.129
    Thompson seedless0.120 ± 0.0251.770 ± 0.0320.431 ± 0.006
    V. vinifera × V. labruscaJumeigui0.122 ± 0.0160.170 ± 0.0210.708 ± 0.135
    PulpV. davidiiTangwei0.062 ± 0.0060.088 ± 0.009nd
    V. amurensisTonghua-30.151 ± 0.0660.324 ±0.1040.032 ± 0.004
    Shuangyou0.053 ± 0.0080.126 ± 0.0440.041 ± 0.017
    V. amurensis × V. ViniferaBeibinghong0.057 ± 0.0140.495 ± 0.0680.087 ± 0.021
    V. viniferaRed Global0.059 ± 0.0180.159 ± 0.0130.027 ± 0.004
    Thompson seedless0.112 ± 0.0160.059 ± 0.020nd
    V. vinifera × V. labruscaJumeigui0.072 ± 0.0100.063 ± 0.0170.359 ± 0.023
    SeedV. davidiiTangwei0.096 ± 0.0140.169 ± 0.0280.049 ± 0.006
    V. amurensisTonghua-30.044 ± 0.0040.221 ± 0.0240.113 ± 0.027
    Shuangyound0.063 ± 0.0210.116 ± 0.017
    V. amurensis × V. ViniferaBeibinghongnd0.077 ± 0.0030.400 ± 0.098
    V. viniferaRed Global0.035 ± 0.0230.142 ± 0.0360.199 ± 0.009
    Thompson seedless
    V. vinifera × V. labruscaJumeigui0.077 ± 0.0250.017 ± 0.0040.284 ± 0.021
    'nd' indicates not detected in samples, and '−' shows no samples are collected due to abortion.
     | Show Table
    DownLoad: CSV
    To gain insight into gene expression patterns influencing resveratrol biosynthesis in 'Tangwei' and 'Tonghua-3', we profiled the transcriptomes of developing berries at G, V, and R stages, using sequencing libraries representing three biological replicates from each cultivar and stage. A total of 142.49 Gb clean data were obtained with an average of 7.92 Gb per replicate, with average base Q30 > 92.5%. Depending on the sample, between 80.47%−88.86% of reads aligned to the V. vinifera reference genome (Supplemental Table S1), and of these, 78.18%−86.66% mapped to unique positions. After transcript assembly, a total of 23,649 and 23,557 unigenes were identified as expressed in 'Tangwei' and 'Tonghua-3', respectively. Additionally, 1,751 novel transcripts were identified (Supplemental Table S2), and among these, 1,443 could be assigned a potential function by homology. Interestingly, the total number of expressed genes gradually decreased from the G to R stage in 'Tangwei', but increased in 'Tonghua-3'. About 80% of the annotated genes showed fragments per kilobase of transcript per million fragments mapped (FPKM) values > 0.5 in all samples, and of these genes, about 40% showed FPKM values between 10 and 100 (Fig. 1a). Correlation coefficients and principal component analysis of the samples based on FPKM indicated that the biological replicates for each cultivar and stage showed similar properties, indicating that the transcriptome data was reliable for further analyses (Fig. 1b & c).
    Figure 1.  Properties of transcriptome data of 'Tangwei' (TW) and 'Tonghua-3' (TH) berry at green hard (G), véraison (V), and ripe (R) stages. (a) Total numbers of expressed genes with fragments per kilobase of transcript per million fragments mapped (FPKM) values; (b) Heatmap of the sample correlation analysis; (c) Principal component analysis (PCA) showing clustering pattern among TW and TH at G, V and R samples based on global gene expression profiles.
    By comparing the transcriptomes of 'Tangwei' and 'Tonghua-3' at the G, V and R stages, we identified 6,770, 3,353 and 6,699 differentially expressed genes (DEGs), respectively (Fig. 2a). Of these genes, 1,134 were differentially expressed between the two cultivars at all three stages (Fig. 2b). We also compared transcriptional profiles between two adjacent developmental stages (G vs V; V vs R) for each cultivar. Between G and V, we identified 1,761 DEGs that were up-regulated and 2,691 DEGs that were down-regulated in 'Tangwei', and 1,836 and 1,154 DEGs that were up-regulated or down-regulated, respectively, in 'Tonghua-3'. Between V and R, a total of 1,761 DEGs were up-regulated and 1,122 DEGs were down-regulated in 'Tangwei', whereas 2,774 DEGs and 1,287 were up-regulated or down-regulated, respectively, in 'Tonghua-3' (Fig. 2c). Among the 16,822 DEGs between the two cultivars at G, V, and R (Fig. 2a), a total of 4,570, 2,284 and 4,597 had gene ontology (GO) annotations and could be further classified to over 60 functional subcategories. The most significantly represented GO terms between the two cultivars at all three stages were response to metabolic process, catalytic activity, binding, cellular process, single-organism process, cell, cell part and biological regulation (Fig. 2d).
    Figure 2.  Analysis of differentially expressed genes (DEGs) at the green hard (G), véraison (V), and ripe (R) stages in 'Tangwei' (TW) and 'Tonghua-3' (TH). (a) Number of DEGs and (b) numbers of overlapping DEGs between 'Tangwei' and 'Tonghua-3' at G, V and R; (c) Overlap among DEGs between G and V, and V and R, for 'Tangwei' and 'Tonghua-3'; (d) Gene ontology (GO) functional categorization of DEGs.
    We also identified 57 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways that were enriched, of which 32, 28, and 31 were enriched at the G, V, and R stages, respectively. Seven of the KEGG pathways were enriched at all three developmental stages: photosynthesis-antenna proteins (ko00196); glycine, serine and threonine metabolism (ko00260); glycolysis/gluconeogenesis (ko00010); carbon metabolism (ko01200); fatty acid degradation (ko00071); cysteine and methionine metabolism (ko00270); and valine, leucine and isoleucine degradation (ko00280) (Supplemental Tables S3S5). Furthermore, we found that the predominant KEGG pathways were distinct for each developmental stage. For example, phenylpropanoid biosynthesis (ko00940) was enriched only at the R stage. Overall, the GO and KEGG pathway enrichment analysis showed that the DEGs in 'Tangwei' and 'Tonghua-3' were enriched for multiple biological processes during the three stages of fruit development. We then analyzed the expression of genes with potential functions in resveratrol and flavonoid biosynthesis between the two cultivars and three developmental stages (Fig. 3 and Supplemental Table S6). We identified 30 STSs, 13 PALs, two C4Hs and nine 4CLs that were differentially expressed during at least one of the stages of fruit development between 'Tangwei' and 'Tonghua-3'. Interestingly, all of the STS genes showed increasing expression with development in both 'Tangwei' and 'Tonghua-3'. In addition, the expression levels of STS, C4H and 4CL genes at V and R were significantly higher in 'Tonghua-3' than in 'Tangwei'. Moreover, 25 RESVERATROL GLUCOSYLTRANSFERASE (RSGT), 27 LACCASE (LAC) and 21 O-METHYLTRANSFERASE (OMT) DEGs were identified, and most of these showed relatively high expression at the G and V stages in 'Tangwei' or R in 'Tonghua-3'. It is worth noting that the expression of the DEGs related to flavonoid biosynthesis, including CHS, FLAVONOL SYNTHASE (FLS), FLAVONOID 3′-HYDROXYLASE (F3'H), DIHYDROFLAVONOL 4-REDUCTASE (DFR), ANTHOCYANIDIN REDUCTASE (ANR) and LEUCOANTHOCYANIDIN REDUCTASE (LAR) were generally higher in 'Tangwei' than in 'Tonghua-3'at G stage.
    Figure 3.  Expression of differentially expressed genes (DEGs) associated with phenylalanine metabolism. TW, 'Tangwei'; TH, 'Tonghua-3'. PAL, PHENYLALANINE AMMONIA LYASE; C4H, CINNAMATE 4-HYDROXYLASE; 4CL, 4-COUMARATE-COA LIGASE; STS, STILBENE SYNTHASE; RSGT, RESVERATROL GLUCOSYLTRANSFERASE; OMT, O-METHYLTRANSFERASE; LAC, LACCASE; CHS, CHALCONE SYNTHASE; CHI, CHALCONE ISOMERASE; F3H, FLAVANONE 3-HYDROXYLASE; FLS, FLAVONOL SYNTHASE; F3'H, FLAVONOID 3′-HYDROXYLASE; DFR, DIHYDROFLAVONOL 4-REDUCTASE; LAR, LEUCOANTHOCYANIDIN REDUCTASE; ANR, ANTHOCYANIDIN REDUCTASE; LDOX, LEUCOANTHOCYANIDIN DIOXYGENASE; UFGT, UDP-GLUCOSE: FLAVONOID 3-O-GLUCOSYLTRANSFERASE.
    Among all DEGs identified in this study, 757 encoded potential TFs, and these represented 57 TF families. The most highly represented of these were the AP2/ERF, bHLH, NAC, WRKY, bZIP, HB-HD-ZIP and MYB families with a total of 76 DEGs (Fig. 4a). We found that the number of downregulated TF genes was greater than upregulated TF genes at G and V, and 48 were differentially expressed between the two cultivars at all three stages (Fig. 4b). Several members of the ERF, MYB, WRKY and bHLH families showed a strong increase in expression at the R stage (Fig. 4c). In addition, most of the TF genes showed > 2-fold higher expression in 'Tonghua-3' than in 'Tangwei' at the R stage. In particular, a few members, such as ERF11 (VIT_07s0141g00690), MYB105 (VIT_01s0026g02600), and WRKY70 (VIT_13s0067g03140), showed > 100-fold higher expression in 'Tonghua-3' (Fig. 4d).
    Figure 4.  Differentially expressed transcription factor (TF) genes. (a) The number of differentially expressed genes (DEGs) in different TF families; (b) Number of differentially expressed TF genes, numbers of overlapping differentially expressed TF genes, and (c) categorization of expression fold change (FC) for members of eight TF families between 'Tangwei' and 'Tonghua-3' at green hard (G), véraison (V), and ripe (R) stages; (d) Heatmap expression profiles of the three most strongly differentially expressed TF genes from each of eight TF families.
    We constructed a gene co-expression network using the weighted gene co-expression network analysis (WGCNA) package, which uses a systems biology approach focused on understanding networks rather than individual genes. In the network, 17 distinct modules (hereafter referred to by color as portrayed in Fig. 5a), with module sizes ranging from 91 (antiquewhite4) to 1,917 (magenta) were identified (Supplemental Table S7). Of these, three modules (ivory, orange and blue) were significantly correlated with resveratrol content, cultivar ('Tonghua-3'), and developmental stage (R). The blue module showed the strongest correlation with resveratrol content (cor = 0.6, p-value = 0.008) (Fig. 5b). KEGG enrichment analysis was carried out to further analyze the genes in these three modules. Genes in the ivory module were significantly enriched for phenylalanine metabolism (ko00360), stilbenoid, diarylheptanoid and gingerol biosynthesis (ko00945), and flavonoid biosynthesis (ko00941), whereas the most highly enriched terms of the blue and orange modules were plant-pathogen interaction (ko04626), plant hormone signal transduction (ko04075) and circadian rhythm-plant (ko04712) (Supplemental Fig. S1). Additionally, a total of 36 genes encoding TFs including in 15 ERFs, 10 WRKYs, six bHLHs, two MYBs, one MADs-box, one HSF and one TRY were identified as co-expressed with one or more STSs in these three modules (Fig. 5c and Supplemental Table S8), suggesting that these TFs may participate in the STS regulatory network.
    Figure 5.  Results of weighted gene co-expression network analysis (WGCNA). (a) Hierarchical clustering tree indicating co-expression modules; (b) Module-trait relationship. Each row represents a module eigengene, and each column represents a trait. The corresponding correlation and p-value are indicated within each module. Res, resveratrol; TW, 'Tangwei'; TH, 'Tonghua-3'; (c) Transcription factors and stilbene synthase gene co-expression networks in the orange, blue and ivory modules.
    To assess the reliability of the RNA-seq data, 12 genes determined to be differentially expressed by RNA-seq were randomly selected for analysis of expression via real-time quantitative PCR (RT-qPCR). This set comprised two PALs, two 4CLs, two STSs, two WRKYs, two LACs, one OMT, and MYB14. In general, these RT-qPCR results strongly confirmed the RNA-seq-derived expression patterns during fruit development in the two cultivars. The correlation coefficients between RT-qPCR and RNA-seq were > 0.6, except for LAC (VIT_02s0154g00080) (Fig. 6).
    Figure 6.  Comparison of the expression patterns of 12 randomly selected differentially expressed genes by RT-qPCR (real-time quantitative PCR) and RNA-seq. R-values are correlation coefficients between RT-qPCR and RNA-seq. FPKM, fragments per kilobase of transcript per million fragments mapped; TW, 'Tangwei'; TH, 'Tonghua-3'; G, green hard; V, véraison; R, ripe.
    Grapevines are among the most important horticultural crops worldwide[26], and recently have been the focus of studies on the biosynthesis of resveratrol. Resveratrol content has previously been found to vary depending on cultivar as well as environmental stresses[27]. In a study of 120 grape germplasm cultivars during two consecutive years, the extractable amounts of resveratrol in berry skin were significantly higher in seeded cultivars than in seedless ones, and were higher in both berry skin and seeds in wine grapes relative to table grapes[28]. Moreover, it was reported that total resveratrol content constantly increased from véraison to complete maturity, and ultraviolet-C (UV-C) irradiation significantly stimulated the accumulation of resveratrol of berry during six different development stages in 'Beihong' (V. vinifera × V. amurensis)[9]. Intriguingly, a recent study reported that bud sport could lead to earlier accumulation of trans-resveratrol in the grape berries of 'Summer Black' and its bud sport 'Nantaihutezao' from the véraison to ripe stages[29]. In the present study, resveratrol concentrations in seven accessions were determined by high performance liquid chromatography (HPLC) in the seed, pulp and skin at three developmental stages (G, V and R). Resveratrol content was higher in berry skins than in pulp or seeds, and were higher in the wild Chinese accessions compared with the domesticated cultivars. The highest resveratrol content (2.99 µg g−1 FW) was found in berry skins of 'Tonghua-3' at the R stage (Table 1). This is consistent with a recent study of 50 wild Chinese accessions and 45 cultivars, which reported that resveratrol was significantly higher in berry skins than in leaves[30]. However, we did not detect trans-resveratrol in the skins of 'Tangwei' during the G or V stages (Table 1). To explore the reason for the difference in resveratrol content between 'Tangwei' and 'Tonghua-3', as well as the regulation mechanism of resveratrol synthesis and accumulation during berry development, we used transcriptional profiling to compare gene expression between these two accessions at the G, V, and R stages. After sequence read alignment and transcript assembly, 23,649 and 23,557 unigenes were documented in 'Tangwei' and 'Tonghua-3', respectively. As anticipated, due to the small number of structures sampled, this was less than that (26,346) annotated in the V. vinifera reference genome[18]. Depending on the sample, 80.47%−88.86% of sequence reads aligned to a single genomic location (Supplemental Table S1); this is similar to the alignment rate of 85% observed in a previous study of berry development in Vitis vinifera[19]. Additionally, 1751 novel transcripts were excavated (Supplemental Table S2) after being compared with the V. vinifera reference genome annotation information[18, 31]. A similar result was also reported in a previous study when transcriptome analysis was performed to explore the underlying mechanism of cold stress between Chinese wild Vitis amurensis and Vitis vinifera[32]. We speculate that these novel transcripts are potentially attributable to unfinished V. vinifera reference genome sequence (For example: quality and depth of sequencing) or species-specific difference between Vitis vinifera and other Vitis. In our study, the distribution of genes based on expression level revealed an inverse trend from G, V to R between 'Tangwei' and 'Tonghua-3' (Fig. 1). Furthermore, analysis of DEGs suggested that various cellular processes including metabolic process and catalytic activity were altered between the two cultivars at all three stages (Fig. 2 and Supplemental Table S3S5). These results are consistent with a previous report that a large number of DEGs and 100 functional subcategories were identified in 'Tonghua-3' grape berries after exposure to UV-C radiation[8]. Resveratrol biosynthesis in grapevine is dependent on the function of STSs, which compete with the flavonoid branch in the phenylalanine metabolic pathway. Among the DEGs detected in this investigation, genes directly involved in the resveratrol synthesis pathway, STSs, C4Hs and 4CLs, were expressed to significantly higher levels in 'Tonghua-3' than in 'Tangwei' during V and R. On the other hand, DEGs representing the flavonoid biosynthesis pathway were upregulated in 'Tangwei', but downregulated in 'Tonghua-3' (Fig. 3 and Supplemental Table S6). These expression differences may contribute to the difference in resveratrol content between the two cultivars at these stages. We note that 'Tangwei' and 'Tonghua-3' are from two highly diverged species with different genetic backgrounds. There might be some unknown genetic differences between the two genomes, resulting in more than 60 functional subcategories being enriched (Fig. 2d) and the expression levels of genes with putative roles in resveratrol biosynthesis being significantly higher in 'Tonghua-3' than in 'Tangwei' during V and R (Fig. 3). A previous proteomic study also reported that the expression profiles of several enzymes in the phenylalanine metabolism pathway showed significant differences between V. quinquangularis accession 'Danfeng-2' and V. vinifera cv. 'Cabernet Sauvignon' at the véraison and ripening stages[33]. In addition, genes such as RSGT, OMT and LAC involved in the production of derivatized products of resveratrol were mostly present at the G and V stages of 'Tangwei', potentially resulting in limited resveratrol accumulation. However, we found that most of these also revealed relatively high expression at R in 'Tonghua-3' (Fig. 3). Despite this situation, which does not seem to be conducive for the accumulation of resveratrol, it still showed the highest content (Table 1). It has been reported that overexpression of two grapevine peroxidase VlPRX21 and VlPRX35 genes from Vitis labruscana in Arabidopsis may be involved in regulating stilbene synthesis[34], and a VqBGH40a belonging to β-glycoside hydrolase family 1 in Chinese wild Vitis quinquangularis can hydrolyze trans-piceid to enhance trans-resveratrol content[35]. However, most studies mainly focus on several TFs that participate in regulation of STS gene expression, including ERFs, MYBs and WRKYs[13, 15, 17]. For example, VvWRKY18 activated the transcription of VvSTS1 and VvSTS2 by directly binding the W-box elements within the specific promoters and resulting in the enhancement of stilbene phytoalexin biosynthesis[36]. VqWRKY53 promotes expression of VqSTS32 and VqSTS41 through participation in a transcriptional regulatory complex with the R2R3-MYB TFs VqMYB14 and VqMYB15[37]. VqMYB154 can activate VqSTS9/32/42 expression by directly binding to the L5-box and AC-box motifs in their promoters to improve the accumulation of stilbenes[38]. In this study, we found a total of 757 TF-encoding genes among the DEGs, including representatives of the MYB, AP2/ERF, bHLH, NAC, WRKY, bZIP and HB-HD-ZIP families. The most populous family was MYB, representing 76 DEGs at G, V and R between 'Tangwei' and 'Tonghua-3' (Fig. 4). A recent report indicated that MYB14, MYB15 and MYB13, a third uncharacterized member of Subgroup 2 (S2), could bind to 30 out of 47 STS family genes. Moreover, all three MYBs could also bind to several PAL, C4H and 4CL genes, in addition to shikimate pathway genes, the WRKY03 stilbenoid co-regulator and resveratrol-modifying gene[39]. VqbZIP1 from Vitis quinquangularis has been shown to promote the expression of VqSTS6, VqSTS16 and VqSTS20 by interacting with VqSnRK2.4 and VqSnRK2.6[40]. In the present study, we found that a gene encoding a bZIP-type TF (VIT_12s0034g00110) was down-regulated in 'Tangwei', but up-regulated in 'Tonghua-3', at G, V and R (Fig. 4). We also identified 36 TFs that were co-expressed with 17 STSs using WGCNA analysis, suggesting that these TFs may regulate STS gene expression (Fig. 5 and Supplemental Table S8). Among these, a STS (VIT_16s0100g00880) was together co-expressed with MYB14 (VIT_07s0005g03340) and WRKY24 (VIT_06s0004g07500) that had been identified as regulators of STS gene expression[13, 15]. A previous report also indicated that a bHLH TF (VIT_11s0016g02070) had a high level of co-expression with STSs and MYB14/15[15]. In the current study, six bHLH TFs were identified as being co-expressed with one or more STSs and MYB14 (Fig. 5 and Supplemental Table S8). However, further work needs to be done to determine the potential role of these TFs that could directly target STS genes or indirectly regulate stilbene biosynthesis by formation protein complexes with MYB or others. Taken together, these results identify a small group of TFs that may play important roles in resveratrol biosynthesis in grapevine. In summary, we documented the trans-resveratrol content of seven grapevine accessions by HPLC and performed transcriptional analysis of the grape berry in two accessions with distinct patterns of resveratrol accumulation during berry development. We found that the expression levels of genes with putative roles in resveratrol biosynthesis were significantly higher in 'Tonghua-3' than in 'Tangwei' during V and R, consistent with the difference in resveratrol accumulation between these accessions. Moreover, several genes encoding TFs including MYBs, WRKYs, ERFs, bHLHs and bZIPs were implicated as regulators of resveratrol biosynthesis. The results from this study provide insights into the mechanism of different resveratrol accumulation in various grapevine accessions. V. davidii 'Tangwei', V. amurensis × V. Vinifera 'Beibinghong'; V. amurensis 'Tonghua-3' and 'Shuangyou'; V. vinifera × V. labrusca 'Jumeigui'; V. vinifera 'Red Globe' and 'Thompson Seedless' were maintained in the grapevine germplasm resource at Northwest A&F University, Yangling, Shaanxi, China (34°20' N, 108°24' E). Fruit was collected at the G, V, and R stages, as judged by skin and seed color and soluble solid content. Each biological replicate comprised three fruit clusters randomly chosen from three plants at each stage. About 40−50 representative berries were separated into skin, pulp, and seed, and immediately frozen in liquid nitrogen and stored at −80 °C. Resveratrol extraction was carried out as previously reported[8]. Quantitative analysis of resveratrol content was done using a Waters 600E-2487 HPLC system (Waters Corporation, Milford, MA, USA) equipped with an Agilent ZORBAX SB-C18 column (5 µm, 4.6 × 250 mm). Resveratrol was identified by co-elution with a resveratrol standard, and quantified using a standard curve. Each sample was performed with three biological replicates. Three biological replicates of each stage (G, V and R) from whole berries of 'Tangwei' and 'Tonghua-3' were used for all RNA-Seq experiments. Total RNA was extracted from 18 samples using the E.Z.N.A. Plant RNA Kit (Omega Bio-tek, Norcross, GA, USA). For each sample, sequencing libraries were constructed from 1 μg RNA using the NEBNext UltraTM RNA Library Prep Kit for Illumina (New England Biolabs, Ipswich, MA, USA). The library preparations were sequenced on an Illumina HiSeq2500 platform (Illumina, San Diego, CA, USA) at Biomarker Technologies Co., Ltd. (Beijing, China). Raw sequence reads were filtered to remove low-quality reads, and then mapped to the V. vinifera 12X reference genome[18, 31] using TopHat v.2.1.0[41]. The mapped reads were assembled into transcript models using Stringtie v2.0.4[42]. Transcript abundance and gene expression levels were estimated as FPKM[43]. The formula is as follows:
    FPKM =cDNA FragmentsMapped Fragments(Millions)× Transcript Length (kb)
    Biological replicates were evaluated using Pearson's Correlation Coefficient[44] and principal component analysis. DEGs were identified using the DEGSeq R package v1.12.0[45]. A false discovery rate (FDR) threshold was used to adjust the raw P values for multiple testing[46]. Genes with a fold change of ≥ 2 and FDR < 0.05 were assigned as DEGs. GO and KEGG enrichment analyses of DEGs were performed using GOseq R packages v1.24.0[47] and KOBAS v2.0.12[48], respectively. Co-expression networks were constructed based on FPKM values ≥ 1 and coefficient of variation ≥ 0.5 using the WGCNA R package v1.47[49]. The adjacency matrix was generated with a soft thresholding power of 16. Then, a topological overlap matrix (TOM) was constructed using the adjacency matrix, and the dissimilarity TOM was used to construct the hierarchy dendrogram. Modules containing at least 30 genes were detected and merged using the Dynamic Tree Cut algorithm with a cutoff value of 0.25[50]. The co-expression networks were visualized using Cytoscape v3.7.2[51]. RT-qPCR was carried out using the SYBR Green Kit (Takara Biotechnology, Beijing, China) and the Step OnePlus Real-Time PCR System (Applied Biosystems, Foster, CA, USA). Gene-specific primers were designed using Primer Premier 5.0 software (PREMIER Biosoft International, Palo Alto, CA, USA). Cycling parameters were 95 °C for 30 s, 42 cycles of 95 °C for 5 s, and 60 °C for 30 s. The grapevine ACTIN1 (GenBank Accession no. AY680701) gene was used as an internal control. Each reaction was performed in triplicate for each of the three biological replicates. Relative expression levels of the selected genes were calculated using the 2−ΔΔCᴛ method[52]. Primer sequences are listed in Supplemental Table S9. This research was supported by the National Key Research and Development Program of China (2019YFD1001401) and the National Natural Science Foundation of China (31872071 and U1903107).
  • The authors declare that they have no conflict of interest.
  • Supplemental Table S1 Identification of 87 nonvolatile compounds in this study.
    Supplemental Fig. S1 The 1011.1811 m/z ion chromatogram extracted from MS data of the four Keemun black tea infusions.
    Supplemental Fig. S2 The ion chromatogram of theadibenzotropolone A (C50H38O21) using its precursor ion (973.1833).
    Supplemental Fig. S3 A blending principle for the third grade of Orthodox Keemun black tea.
  • [1]

    Zhu K, Ouyang J, Huang J, Liu Z. 2021. Research progress of black tea thearubigins: a review. Critical Reviews in Food Science and Nutrition 61(9):1556−66

    doi: 10.1080/10408398.2020.1762161

    CrossRef   Google Scholar

    [2]

    Feng Z, Li Y, Li M, Wang Y, Zhang L, et al. 2019. Tea aroma formation from six model manufacturing processes. Food Chemistry 285:347−54

    doi: 10.1016/j.foodchem.2019.01.174

    CrossRef   Google Scholar

    [3]

    Yang Z, Baldermann S, Watanabe N. 2013. Recent studies of the volatile compounds in tea. Food Research International 53(2):585−99

    doi: 10.1016/j.foodres.2013.02.011

    CrossRef   Google Scholar

    [4]

    Alasalvar C, Topal B, Serpen A, Bahar B, Pelvan E, et al. 2012. Flavor characteristics of seven grades of black tea produced in Turkey. Journal of Agricultural and Food Chemistry 60(25):6323−6332

    doi: 10.1021/jf301498p

    CrossRef   Google Scholar

    [5]

    Xu Y, Liu Y, Yang J, Wang H, Zhou H, et al. 2023. Manufacturing process differences give Keemun black teas their distinctive aromas. Food Chemistry: X 19:100865

    doi: 10.1016/j.fochx.2023.100865

    CrossRef   Google Scholar

    [6]

    Pincemaille J, Schummer C, Heinen E, Moris G. 2014. Determination of polycyclic aromatic hydrocarbons in smoked and non-smoked black teas and tea infusions. Food Chemistry 145:807−13

    doi: 10.1016/j.foodchem.2013.08.121

    CrossRef   Google Scholar

    [7]

    Laddi A, Prakash NR, Sharma S, Mondal HS, Kumar A, et al. 2012. Significant physical attributes affecting quality of Indian black (CTC) tea. Journal of Food Engineering 113(1):69−78

    doi: 10.1016/j.jfoodeng.2012.05.020

    CrossRef   Google Scholar

    [8]

    DeBernardi J, Ma J. 2022. History, creativity, and value: the modern making of Gold Jun Mei tea. Asian Journal of Social Science 50(3):195−205

    doi: 10.1016/j.ajss.2022.06.005

    CrossRef   Google Scholar

    [9]

    Jiang H, Yu F, Qin L, Zhang N, Cao Q, et al. 2019. Dynamic change in amino acids, catechins, alkaloids, and gallic acid in six types of tea processed from the same batch of fresh tea (Camellia sinensis L.) leaves. Journal of Food Composition and Analysis 77:28−38

    doi: 10.1016/j.jfca.2019.01.005

    CrossRef   Google Scholar

    [10]

    Hua J, Xu Q, Yuan H, Wang J, Wu Z, et al. 2021. Effects of novel fermentation method on the biochemical components change and quality formation of Congou black tea. Journal of Food composition and Analysis 96:103751

    doi: 10.1016/j.jfca.2020.103751

    CrossRef   Google Scholar

    [11]

    Jiang Y, Hua J, Wang B, Yuan H, Ma H. 2018. Effects of variety, season, and region on theaflavins content of fermented Chinese congou black tea. Journal of Food Quality 2018:5427302

    doi: 10.1155/2018/5427302

    CrossRef   Google Scholar

    [12]

    Hou ZW, Wang YJ, Xu SS, Wei YM, Bao GH, et al. 2020. Effects of dynamic and static withering technology on volatile and nonvolatile components of Keemun black tea using GC-MS and HPLC combined with chemometrics. LWT 130:109547

    doi: 10.1016/j.lwt.2020.109547

    CrossRef   Google Scholar

    [13]

    Liu F, Wang Y, Corke H, Zhu H. 2022. Dynamic changes in flavonoids content during congou black tea processing. LWT 170:114073

    doi: 10.1016/j.lwt.2022.114073

    CrossRef   Google Scholar

    [14]

    Huang A, Jiang Z, Tao M, Wen M, Xiao Z, et al. 2021. Targeted and nontargeted metabolomics analysis for determining the effect of storage time on the metabolites and taste quality of Keemun black tea. Food Chemistry 359:129950

    doi: 10.1016/j.foodchem.2021.129950

    CrossRef   Google Scholar

    [15]

    Wen M, Han Z, Cui Y, Ho CT, Wan X, et al. 2022. Identification of 4-O-p-coumaroylquinic acid as astringent compound of Keemun black tea by efficient integrated approaches of mass spectrometry, turbidity analysis and sensory evaluation. Food Chemistry 368:130803

    doi: 10.1016/j.foodchem.2021.130803

    CrossRef   Google Scholar

    [16]

    Wen M, Cui Y, Dong CX, Zhang L. 2021. Quantitative changes in monosaccharides of Keemun black tea and qualitative analysis of theaflavins-glucose adducts during processing. Food Research International 148:110588

    doi: 10.1016/j.foodres.2021.110588

    CrossRef   Google Scholar

    [17]

    Yang J, Zhou H, Liu Y, Wang H, Xu Y, et al. 2022. Chemical constituents of green teas processed from albino tea cultivars with white and yellow shoots. Food Chemistry: Molecular Sciences 5:100143

    doi: 10.1016/j.fochms.2022.100143

    CrossRef   Google Scholar

    [18]

    Zhuang J, Dai X, Zhu M, Zhang S, Dai Q, et al. 2020. Evaluation of astringent taste of green tea through mass spectrometry-based targeted metabolic profiling of polyphenols. Food Chemistry 305:125507

    doi: 10.1016/j.foodchem.2019.125507

    CrossRef   Google Scholar

    [19]

    Kong X, Xu W, Zhang K, Chen G, Zeng, X. 2023. Effects of reaction temperature, pH and duration on conversion of tea catechins and formation of theaflavins and theasinensins. Food Bioscience 54:102911

    doi: 10.1016/j.fbio.2023.102911

    CrossRef   Google Scholar

    [20]

    Sinija VR, Mishra HN, Bal S. 2007. Process technology for production of soluble tea powder. Journal of Food Engineering 82(3):276−83

    doi: 10.1016/j.jfoodeng.2007.01.024

    CrossRef   Google Scholar

    [21]

    Guo X, Song C, Ho CT, Wan X. 2018. Contribution of L-theanine to the formation of 2,5-dimethylpyrazine, a key roasted peanutty flavor in oolong tea during manufacturing process. Food Chemistry 263:18−28

    doi: 10.1016/j.foodchem.2018.04.117

    CrossRef   Google Scholar

    [22]

    Zhang Y, Yan K, Peng Q, Feng S, Zhao Z, et al. 2024. Insights into major pigment accumulation and (non)enzymatic degradations and conjugations to characterized flavors during intelligent black tea processing. Food chemistry 437:137860

    doi: 10.1016/j.foodchem.2023.137860

    CrossRef   Google Scholar

    [23]

    Zhang L, Cao QQ, Granato D, Xu YQ, Ho CT. 2020. Association between chemistry and taste of tea: A review. Trends in Food Science and technology 101:139−49

    doi: 10.1016/j.jpgs.2020.05.015

    CrossRef   Google Scholar

    [24]

    Wu Y, Jiang X, Zhang S, Dai X, Liu Y, et al. 2016. Quantification of flavonol glycosides in Camellia sinensis by MRM mode of UPLC-QQQ-MS/MS. Journal of Chromatography B 1017-1018:10−17

    doi: 10.1016/j.jchromb.2016.01.064

    CrossRef   Google Scholar

    [25]

    Fan FY, Shi M, Nie Y, Zhao Y, Ye JH, et al. 2016. Differential behaviors of tea catechins under thermal processing: Formation of non-enzymatic oligomers. Food Chemistry 196:347−54

    doi: 10.1016/j.foodchem.2015.09.056

    CrossRef   Google Scholar

    [26]

    Matsuo Y, Okuda K, Morikawa H, Oowatashi R, Saito Y, et al. 2016. Stereochemistry of the black tea pigments Theacitrins A and C. Journal of Natural Products 79(1):189−95

    doi: 10.1021/acs.jnatprod.5b00832

    CrossRef   Google Scholar

    [27]

    Frank O, Zehentbauer G, Hofmann T. 2006. Bioresponse-guided decomposition of roast coffee beverage and identification of key bitter taste compounds. European Food Research and Technology 222(5):492−508

    doi: 10.1007/s00217-005-0143-6

    CrossRef   Google Scholar

    [28]

    Guo T, Pan F, Cui Z, Yang Z, Chen Q, et al. 2023. FAPD: an astringency threshold and astringency type prediction database for flavonoid compounds based on machine learning. Journal of Agricultural and Food Chemistry 71(9):4172−83

    doi: 10.1021/acs.jafc.2c08822

    CrossRef   Google Scholar

    [29]

    Zhang X, Zheng F, Zhao C, Li Z, Li C, et al. 2022. Novel method for comprehensive annotation of plant glycosides based on untargeted LC-HRMS/MS metabolomics. Analytical Chemistry 94(48):16604−13

    doi: 10.1021/acs.analchem.2c02362

    CrossRef   Google Scholar

    [30]

    Sang S, Tian S, Meng X, Stark RE, Rosen RT, et al. 2002. Theadibenzotropolone A, a new type pigment from enzymatic oxidation of (−)-epicatechin and (−)-epigallocatechin gallate and characterized from black tea using LC/MS/MS. Tetrahedron letters 43(40):7129−33

    doi: 10.1016/S0040-4039(02)01707-0

    CrossRef   Google Scholar

    [31]

    Gutiérrez Ortiz AL, Berti F, Solano Sánchez W, Navarini L, Colomban S, et al. 2019. Distribution of p-coumaroylquinic acids in commercial Coffea spp. of different geographical origin and in other wild coffee species. Food Chemistry 286:459−66

    doi: 10.1016/j.foodchem.2019.02.039

    CrossRef   Google Scholar

    [32]

    Peng H, Shahidi F. 2023. Oxidation and degradation of (epi)gallocatechin gallate (EGCG/GCG) and (epi)catechin gallate (ECG/CG) in alkali solution. Food Chemistry 408:134815

    doi: 10.1016/j.foodchem.2022.134815

    CrossRef   Google Scholar

    [33]

    Zhou H, Yang J, Liu Y, Wang H, Xu Y, et al. 2023. Contribution of stems and leaves to the flavor of Keemun black tea. Food Science 44(24):220−28(In Chinese)

    doi: 10.7506/spkx1002-6630-20230328-267

    CrossRef   Google Scholar

    [34]

    Li W, Wen Y, Lai S, Kong D, Wang H, et al. 2024. Accumulation patterns of flavonoids during multiple development stages of tea seedlings. Beverage Plant Research 4:e013

    doi: 10.48130/bpr-0024-0006

    CrossRef   Google Scholar

    [35]

    Chen R, Lai X, Wen S, Li Q, Cao J, et al. 2024. Analysis of tea quality of large-leaf black tea with different harvesting tenderness based on metabolomics. Food Control 163:110474

    doi: 10.1016/j.foodcont.2024.110474

    CrossRef   Google Scholar

  • Cite this article

    Zhou H, Xu Y, Wu Q, Yang J, Lei P. 2024. Identification and comparison of nonvolatile profiles of the four Keemun black tea types. Beverage Plant Research 4: e036 doi: 10.48130/bpr-0024-0025
    Zhou H, Xu Y, Wu Q, Yang J, Lei P. 2024. Identification and comparison of nonvolatile profiles of the four Keemun black tea types. Beverage Plant Research 4: e036 doi: 10.48130/bpr-0024-0025

Figures(6)

Article Metrics

Article views(1979) PDF downloads(308)

Other Articles By Authors

ARTICLE   Open Access    

Identification and comparison of nonvolatile profiles of the four Keemun black tea types

Beverage Plant Research  4 Article number: e036  (2024)  |  Cite this article

Abstract: Nonvolatile profiles of four Keemun black tea types (12 samples for each tea type), including Congou (CG), Maofeng (MF), Jinzhen (JZ), and Xiangluo (XL), were comprehensively analyzed using liquid chromatography coupled with a mass spectrometry system (UPLC-QTRAP-MS/MS). MF black teas had the highest taste score, followed by CG. Catechins and amino acids were lowly concentrated in JZ teas, while the theabrownine content was high. The TRs/TFs ratio in CG, MF, JZ, and XL were 10.5, 9.6, 11.6, and 11.1, respectively, all within adequate indexes. Eighty-seven nonvolatiles were identified and quantified, of which the total relative concentration was high in MF and CG. Flavonoid glycosides and hydroxycinnamoyl quinic acids decreased significantly in JZ and XL. Still, their conjugates kaempferol-3-O-di-p-coumaroylhexosides increased in JZ teas. Thermal treatments showed that hydroxycinnamoyl quinic acids decreased significantly as drying temperature moved up and high drying temperature enhanced the epimerization and polymerization of catechins. Furthermore, the metabolite profiles of bud, leaf, and stem black teas differed, and the refining procedure of CG teas balanced these taste and aroma compounds. The present study showed that the difference in manufacturing process changed metabolite profiles of Keemun black tea, and provided customers with an alterable flavor and consumption feature.

    • Tea is one of the most consumed nonalcoholic beverages worldwide. It is well known for its charming flavor, leisure characteristics, and potential health benefits, such as antioxidative, antimutagenic, and anticancer effects[1]. Recent international standard (ISO 201715: 2023) shows that tea products can be classified into six types: black, green, oolong, dark, white, and yellow teas. These tea products are made from Camellia sinensis (L.) O. Kuntze tender leaves via different manufacturing processes[2]. As of the end of 2022, green tea production in China occupied 58.8% of the total tea production, while black tea production accounted for about 15.2%.

      Interestingly, black tea consumption accounts for 80% of the total tea commerce in the world[3], especially in India, Sri Lanka, Kenya, Turkey, and Bangladesh, where black tea processing is dominant. According to the new international standard, black tea products contain Orthodox black tea, broken black tea, congou black tea, and souchong black tea. Orthodox black tea is a traditional tea product in the international trade market. It comprises twisted strip/wiry leaf, shotty/curly/semi-curly Pekoe, bud tips, small slices, and powdered tea, such as Turkey black tea[4] and Orthodox Keemun black tea[5]. Congou black tea processing usually contains a rolling stage after withering, while Souchong black tea has a particular stage after fermentation. A pine needle or branch flame gives a smoky taste and smell to souchong tea products, such as Lapsang Souchong[6]. Hence, the appearance of Congou and Souchong black tea can be observed as complete buds or leaves, differing from broken black tea[7].

      Keemun Congou black tea, like Orthodox black tea, has a different volatile profile from Jinzhen, Maofeng, and Xiangluo Keemun black tea, as described in our previous study[5]. In the initial Keemun black tea production period, refining, and blending stages are necessary for balancing tea quality and yield. A complex manual manufacturing process refined primary black teas processed by different regions, seasons, and maturity (Fig. 1). Based on their experience, tea experts make up different black tea grades according to the size, length, and thickness of the original materials. Tea processing using machines gradually replaced that using manual, and curiosity for tea products of superior quality made tea companies pursue new black tea products, such as Gold Jun Mei black tea[8] and Keemun Jinzhen black tea[5], with the development of economy and tea industry.

      Figure 1. 

      Manufacturing processes of Orthodox Keemun black tea (Keemun congou black tea).

      These premium black tea products are usually made from tender buds (one bud or one bud and one leaf) before the Qingming Festival (April 5th) and then undergo a simple refining process (screening, winnowing, picking, and blending), starting to flow into tea commerce. However, Keemun Congou black tea (Orthodox Keemun black tea) often undergoes a long-time refining stage (2‒3 months) before occurring in the tea market. Our previous study showed that Keemun Congou black tea with a special refining stage has a high proportion of flowery, fruity, and sweet odorants[5]. Herein, a targeted metabolomic technique with ultra-performance liquid chromatography connected to an ESI-triple quadrupole linear ion trap mass spectrometry system (UPLC–QTRAP–MS/MS) was applied to obtain nonvolatile profiles of Keemun black tea.

      The nonvolatile compounds (e.g., amino acids, catechins, and flavonoids) are closely related to taste characteristics. Its profile in black tea is quite different from other tea types. For instance, total amino acid content accounts for only 46% of the original in black tea products, while 75% of that can be detected in green tea products[9]. The total catechin concentration also decreased significantly during black tea processing. In contrast, their polymers, such as theaflavins (TFs), thearubigins (TRs), and theabrownine (TB), were highly concentrated[10,11]. These nonvolatile catechins, caffeine, theaflavins, and amino acids are usually detected using liquid chromatography[12]. In contrast, applying a mass spectrometry system often requires identification of flavonoids, flavonoid glycosides, or other low concentration compounds that contribute to tea taste. A total of 203 flavonoids were identified in Congou black tea using the UPLC–QTRAP–MS/MS technique[13]. The UPLC system, coupled with a time-of-flight mass spectrometer (UPLC–Q–TOF–MS), detects 58 critical nonvolatile metabolites in Keemun black tea[14]. The trans-4-O-p-coumaroylquinic acid, kaempferol-glucoside, quercetin-glucoside, and kaempferol 3-O-rutinoside were identified as dominant taste compounds in Keemun black tea infusions using the mass spectrometry technique[15], especially the trans-4-O-p-coumaroylquinic acid, which gives a strong astringent taste to tea infusion. Theaflavin-glucose adducts were also identified using the UPLC–Q–TOF–MS technique[16].

      A previous study showed that Keemun Congou black tea has a different volatile profile from other Keemun black teas[5]. In this study, 48 Keemun black tea samples (12 samples for each black tea type) were comprehensively analyzed by UPLC–QTRAP–MS/MS. The study aimed to (i) profile the nonvolatile metabolites of the four Keemun black tea types and (ii) explore the differential metabolites and effects of the manufacturing process on the nonvolatile profile.

    • Forty-eight black tea samples from the Qimen area (latitude 29°51', longitude 117°43') were kindly gifted by the Qimen Tea Association, including 12 samples for each tea type (Congou, Maofeng, Xiangluo, and Jinzhen Keemun black teas). The manufacturing process of these four black tea types has been elucidated in our previous study[5]. They all were processed by one bud and one leaf or one bud and two leaves from early to mid-April. Tea experts evaluated these tea samples and ensured they had the characteristic Keemun black tea flavor.

    • Six tea experts, including two men and four women, were recruited to conduct the sensory evaluation based on the taste part of the National Standard of the People's Republic of China (GB/T 23776−2018). Tea infusions (3 g of tea samples, 150 mL boiling water, 5 min) were prepared. Taste scoring was followed as 90−99 (with umami, mellow, and umami, or sweet and mellow characters), 80−89 (with mellow character), and 70−79 (with barely mellow character). The umami and sweet taste can be described as having a positive effect on the human tongue (sweet aftertaste); the mellow and thick taste of tea infusions are used to describe the strong, or weak.

    • Catechin standards were purchased from Shanghai Yuanye Bio-Technology Co., Ltd (Shanghai, China) including gallic acid, catechin (C), epicatechin (EC), epigallocatechin (EGC), gallocatechin (GC), gallocatechin gallate (GCG), epigallocatechin gallate (EGCG), epicatechin gallate (ECG), catechin gallate (CG), theaflavin, theaflavin-3-gallate, theaflavin-3'-gallate, and theaflavin-3,3'-di-O-gallate. The mixture of amino acid standards were purchased from Sykam GmbH (Munich, Germany). Flavonoids and other standards were purchased from Shanghai Macklin Biochemical Technology Co., Ltd (Shanghai, China), including rutin, quercetin, vitexin, myricetin, myricetin 3-O-galatoside, kaempferol-3-O-glucoside quercetin-3-O-glucoside, kaempferol-3-O-rutinoside, quercetin-3-O-glucosylrutinoside, proanthocyanidin B1, proanthocyanidin B2, proanthocyanidin B3, proanthocyanidin B4, β-glucogallin, and quinic acid.

    • Catechins were extracted and analyzed according to a previous study[17]. Nine typical samples for each tea type were selected for catechins analysis. A high-performance liquid chromatography system (HITACHI, Tokyo, Japan) coupled with a C18 column (5 μm × 4.6 mm × 250 mm; Phenomenex, CA, USA) was used. The mobile phases, flow rate, detection wavelength, and column temperature were 0.04% (v/v, phosphoric acid/distilled water) phosphoric acid solution (A) and 100% acetonitrile (B), 1.0 mL/min, 280 nm, and 40 °C, respectively. The gradient elution was the same as in a previous study[17]. The identification and quantitation (mg/g, dry weight, DW) of catechins were compared and calculated with their authentic standards and calibration curves. Three technical replicates were conducted.

    • Amino acid extracts were prepared according to a previous study[17]. An automatic amino acid analyzer S-433D (SYKAM, Munich, Germany) coupled to an LCA K07/Li column (SYKAM, Munich, Germany) was applied. The elution and derivation flow rates were maintained at 0.45 and 0.25 mL/min. The mobile phases were purchased from SYKAM, and the gradient elution was the same as in a previous study[17]. The identification of amino acids was conducted by comparing their authentic standards. Quantitation (mg/g, dry weight, DW) was calculated by comparing the sample peak areas and analytical standards. Nine typical samples for each tea type were selected for amino acid analysis and three technical replicates were measured.

    • Tea-pigment separation and extraction were performed according to previous studies[10,11]. In the present study, nine typical samples for each tea type were selected for pigment analysis.

      Tea infusions were prepared (6 g of tea samples, 250 mL of boiling water). After a hot-water bath for 10 min, the aqueous extract was filtered using degreasing cotton. After cooling to room temperature, 25 mL aliquots were put into a separating funnel, and 25 mL ethyl acetate was added. It was gently shaken for 5 min manually and placed still for layering. The lower and upper layers were collected in triangle beakers, respectively.

      The A solution comprised 2 mL of the upper layer and was placed into a 25 mL volumetric flask using 95% ethyl alcohol up to 25 mL. The B solution was composed of 2 mL of the lower layer. It was placed into a 25 mL volumetric flask, adding 2 mL oxalic acid solution and 6 mL of distilled water, and then using 95% ethyl alcohol up to 25 mL. The C solution was composed of 15 mL of the upper layer, put into a separating funnel, and added 15 mL of 2.5% sodium bicarbonate solution. It was quickly shaken for 30 s manually and placed still for layering. In this step, 4 mL of the upper layer formed was collected in a 25 mL volumetric flask using 95% ethyl alcohol up to 25 mL. The D solution comprised 25 mL tea infusions, put into a separating funnel and 25 mL of n-butyl alcohol was added. It was manually shaken for 3 min and placed still for layering. 2 mL of the lower layer formed in this step was put into a 25 mL volumetric flask, added 2 mL oxalic acid solution and 6 mL distilled water, and then using 95% ethyl alcohol up to 25 mL. OD values of the four solutions were measured at 380 nm using an ultraviolet spectrophotometer (TU-1810, Persee, Beijing, China) and recorded as EA, EB, EC, and ED. Theaflavins, thearubigins, and theabrownin in tea samples were calculated according to the following formulas: Total theaflavins (%) = 2.25 × EC; Thearubigins (%) = 7.06 × (2EA + 2EB − EC − 2ED); Theabrownin (%) = 2 × ED × 7.06.

    • Soluble sugar content in tea infusions was analyzed according to anthrone colorimetry. In this step,100 mg of tea powder was put into a 25 mL test tube, added 15 mL of water, and boiled in a water bath for 20 min. After cooling to room temperature, tea infusions were placed into a 100 mL volumetric flask and up to the volume using distilled water. A total of 1 mL aliquots and 5 mL 1 g/L anthrone solution were put into a 25 mL test tube and boiled in a water bath for 10 min. After cooling to room temperature, the solution was measured at 620 nm using an ultraviolet spectrophotometer (TU-1810, Persee, Beijing, China). Soluble sugar concentrations (%) in the tea samples were calculated according to the glucose calibration curves.

    • Aqueous infusions were prepared according to a previous study[18]. Tea powder (0.06 g) was extracted with 1.8 mL of 80% methanol solution. The aqueous infusions were centrifuged at 12,000 rpm for 10 min and the residues were re-extracted with 1.8 mL of 80% methanol solution, as above. Aqueous infusions were filtered through a 0.22 μm membrane before the LC-MS analysis. All 48 black tea samples were analyzed, and a triple extraction was performed for each sample.

      All samples were analyzed using a Q-Exactive Focus Orbitrap LC-MS/MS System (Thermo Fisher Scientific, USA). The LC column was 3 mm × 150 mm × 2.7 μm C18 (Poroshell 120 SB-C18, Agilent, California, USA). The mobile phases were 0.4% acetic acid (V/V, acetic acid: distilled water, A) and 100% acetonitrile (B). The flow rate, column oven temperature, and injection volume were set at 0.5 mL/min, 30 °C, and 10 μL, respectively. The gradient elution was as follows: 0.1% B (0 min), 7% B (0.01−10 min), 7% B (10.01−22 min), 11% B (22.01−25 min), 12% B (25.01−30 min), 14% B (30.01−31 min), 35% B (31.01−43 min), 80% B (43.01−44 min), 80% B (44.01−46 min), and 0.1% B (46.01−47 min).

      The MS operating conditions were 8 L/min drying gas nitrogen flow at 325 °C, 11 L/min sheath gas flow at 350 °C, 45 psi nebulizer pressure, and 3,500 V capillary voltage. A negative ionization mode was performed. The full MS parameters were set as follows: 70,000 resolution, 5e6 AGC target, 200 ms maximum IT, and 80‒1,200 m/z scan range. The dd-MS2 parameters were set as follows: 17,500 resolution, 1e5 AGC target, 60 ms maximum IT, five loop count, and 0.4 m/z isolation. The collision energy was set at 15−40 V. The acquired MS and MS/MS data files were analyzed using Thermo Xcalibur 4.1 and TraceFinder 4.1.

    • The identification of nonvolatile compounds in this study was performed using precursor ions, MS/MS fragments, and retention times. The precursor ion and MS/MS fragment messages of nonvolatile compounds were obtained from previous studies[13,14,18] and standards used in this study. The retention times of 28 compounds described previously wereidentified according to compared with their authentic standards, while other compounds were confirmed in a previous study[18].

      A local database was established according to compound name, chemical formula, precursor m/z, polarity, and retention time in Thermo TraceFinder 4.1 software. Compound integration was performed based on this newly established database. Compound quantification was calculated based on the peak areas of myricetin (10 mg/L).

    • Among 12 MF tea samples, one of them was selected to perform the thermal reaction. A drying oven (Zhejiang Sunyang Machinery Co., Ltd, Quzhou, China) was used to conduct three thermal treatments (90 °C, 2 h; 130 °C, 2 h; 150 °C, 1 h). After thermal treatment, the above black tea samples were analyzed by UPLC-QTRAP-MS/MS.

    • Fresh shoots (one bud and two leaves) of tea variety (Camellia sinensis var. sinensis cv. Fuzao2) were plucked in the middle of April, and then the tea bud, leaf, and stem were separated manually. The three fresh materials were processed into black tea, respectively. The withering stage was performed at 28−30 °C for 6−7 h, and a rolling stage was conducted using a rolling machine for 55 min. The fermentation procedure was performed at 23−25 °C for 2−3 h. Drying was performed at 110 °C for 5−7 min, room temperature for 20−30 min, and 85 °C for 20−30 min.

    • Significant differences (p < 0.05) between tea samples were conducted using one-way analysis of variance (ANOVA) and Duncan's multiple range tests in SPSS 20.0 (SPSS Inc., USA). A principal component analysis (PCA) and variable importance for the projection (VIP) plot were determined using SIMCA 14.1 (Umetrics Corporation, Sweden).

    • Orthodox Keemun black tea (Keemun Congou) had a different appearance from the other three Keemun teas (Fig. 2). Based on sensory evaluation, Keemun Maofeng black teas had a high intensity of sweet-after-taste and reached the most elevated taste score (93.5 ± 1.8), followed by Keemun Congou (92.2 ± 1.5), Jinzhen (91.8 ± 1.5), and Xiangluo ( 91.8 ± 1.6).

      Figure 2. 

      Sensory evaluation and main taste compounds in the four Keemun black teas.

      Tea catechins, as the main nonvolatile compounds in tea plants, are easily oxidized to form polymeric polyphenols during black tea processing, such as TFs, theasinensins, TRs, and TB[19]. Total catechins concentration showed no significant difference among CG, MF, and XL. Still their concentration in JZ was significantly lower than in MF (Fig. 2). Catechins were highly concentrated in Maofeng Keemun teas, while their polymer, tea pigments were less concentrated. The relative content of theaflavins in JZ and XL was lower than in CG and MF black teas, while the TRs content had no significant difference in MF, XL, and JZ, except for CG. The TRs/TFs ratio ranging from 10−12 is a good index for black tea quality[20]. The TRs/TFs ratio in four Keemun black teas (CG, 10.5; MF, 9.6; XL, 11.1; JZ, 11.6) were different, but all within the good index ranges, suggesting that all four Keemun black tea types are good quality. Theaflavins and D-glucose can produce adducts in thermal reactions[16]. To shape the curly or straight appearance, a long thermal response occurs in the manufacturing process of Jinzhen and Xiangluo black teas, decreasing theaflavins concentration. Furthermore, the TB/TRs ratio in Jinzhen (3.2) and Xiangluo (2.7) was higher than in Congou (2.2) and Maofeng (2.3) black teas, suggesting that the polymerization of catechins was also the reason for the decrease of theaflavins concentration.

      Total amino acid concentration showed no significant difference between the four Keemun black tea types except for Jinzhen black teas. Theanine is the most abundant non-protein amino acid in tea and is an important contributor to the umami taste of the tea. It also contributes to a tea-roasted peanutty aroma when it reacts with sugar-producing methylpyrazine and 2,5-dimethylpyazine[21]. Theanine concentrations in JZ teas were significantly lower than in the others (Fig. 2). Given that the shaping stage of Jinzhen black tea processing requires a thermal reaction, amino acids and carbohydrates undergo a Maillard reaction, leading to a decrease in amino acid concentrations[22]. Subsequently, the soluble sugar content in tea infusions was measured. The soluble sugar content in JZ significantly decreased compared to MF teas. The high temperature shaping stage (110−130 °C) has been suggested to result in a Maillard reaction between theanine and glucose in JZ tea processing. This could also explain why MF teas had a high intensity of sweet-after taste in sensory evaluation.

      A previous study showed that catechins, theobromine, and theaflavins concentrations were below their corresponding threshold concentrations in Keemun black tea infusions (W/V, 1:50). Still, caffeine had a high dose over the threshold (DoT) value (2−3)[15]. The DoT value of nonvolatile is greater than one, indicating that this compound may contribute more to the taste of tea infusion. Caffeine concentration showed no significant difference between the four Keemun black tea types, in which caffeine concentration ranged from 39.5 to 41.1 mg/g. Flavonoid glycosides give a mouth-drying and velvety-like astringency to the human tongue[22], especially quercetin-3-O-rhamnoyranosyl-β-D-glucopyranoside (rutin) with a 0.00115 μM threshold value[23]. Hence, UPLC-QTRAP-MS/MS was applied to analyze flavonoids and their glycosides in the current study.

    • In negative ionization mode, nonvolatiles detected in this study produced an intense signal of [M‒H] ion. Compared with the [M‒H] precursor ion, MS/MS fragment, retention time, and 87 metabolites were identified, including 28 metabolites having authentic standards and 59 nonvolatiles identified by previous studies[13,14,18]. They comprised 12 simple catechins, 12 catechins dimers or polymers, 11 organic acids, 37 flavonoids and their glycosides, five proanthocyanidins, and 10 theaflavins. Their concentration was calculated by comparing the myricetin (external standard) peak area. Supplemental Table S1 lists the relative concentration of 87 compounds in tea samples. Their total relative concentration was different in the four Keemun black tea types. Maofeng teas have the highest average content (4,523 mg/kg), followed by Congou (4,393 mg/kg), Xiangluo (3,659 mg/kg), and Jinzhen (3,688 mg/kg).The ANOVA results showed that the total relative concentration in the Congou and Maofeng groups was significantly higher than in the Jinzhen and Xiangluo groups (p < 0.05).

      As shown in Fig. 3, most nonvolatiles showed a decreasing tendency in the Xiangluo and Jinzhen black teas. Only 11 compounds in the relative concentration had no significant differences between groups, namely, EC, ECG, epiafzelechin gallate, galloyl acid, β-glucogallin, quercetin-3-O-rutinose, kaempferol-3-O-galactoside, kaempferol-3-O-galactosylrutinoside, kaempferol-3-O-glucoside, kaempferol-3-O-rutinoside, and kaempferol-3-O-rutinoside isomer. Among them, kaempferol glycosides were dominant, suggesting that the manufacturing process weakly influenced kaempferol glycosides. Kaempferol-3-O-glucoside and kaempferol-3-O-galactoside are both highly concentrated in young leaves[24], and the former has a high DoT value (3.16‒7.73) in Keemun black tea infusions[15].

      Figure 3. 

      Nonvolatile profiles of the four Keemun black teas detected by LC-MS/MS.

      The remaining 76 compounds had a significant difference between groups. Simple catechin results by UPLC-QTRAP-MS/MS were consistent with HPLC data (Fig. 2). They were highly concentrated in Keemun Maofeng, except for the non-epi catechins CG and GCG. During the thermal reaction, epi- and non-epi catechins could convert to each other[25]. The epimerization conversion rates of gallated and non-gallated are quite different. For example, the conversion rate of EC to C is about 56.1% at 90 °C, while EGCG to GCG is about 27.4%[25]. As described in our previous study[5], Maofeng black tea has a simple manufacturing process compared with other Keemun black teas, that benefit from the residue of simple or dimeric catechins. Catechin dimers EGC-EGC or EC-EGCG also have a decreased tendency in JZ and XL, suggesting that a long-time thermal procedure harms catechin dimer concentration and enhances the polymerization reaction of catechins, such as the increasing accumulation of theabrownin (Fig. 2). Theacitrins A is a characteristic yellow pigment oxidated from catechins[26], and its isomer concentration also decreased in Keemun Jinzhen and Xiangluo teas.

      Organic acids have an important impact on tea taste quality. A previous study mentioned turbidity analysis as a powerful tool for identifying astringent compounds and n-butanol extracts compared to petroleum ether or dichloromethane extracts with the highest turbidity value. With the application of UPLC-Q-TOF-MS, n-butanol extracts consisted of hydroxycinnamoyl quinic acids and flavonoid glycosides, such as 3-O-p-coumaroylquinic acid, 4-O-p-coumaroylquinic acid, and 5-O-p-coumaroylquinic acid[15]. Many p-hydroxycinnamoyl quinic acids in roasted coffee have been identified as strong astringent compounds[27]. Maofeng and Congou black teas contained more hydroxycinnamoyl quinic acids than Jinzhen and Xiangluo black teas (Fig. 3). According to sensory evaluation, the astringent intensity of MF and CG black tea infusions was not stronger than that of JZ and XL. Still, the thickness of the tea infusions was stronger in MF and CG than in JZ and XL. With an astringent character, these compounds might give a complex sense to the human tongue.

      Flavonoids (e.g., flavanol, flavonol, flavanone, and flavanonol) and their glycosides are important classes of taste compounds in food[28]. The mono-, di-, tri-, and tetra-glycoside forms of flavonoids have been comprehensively identified in plant tissues, and flavonoid glycosides are mono- or di-glycoside types[29]. The astringent taste is often classified into two types, namely, puckering/rough astringency and velvety/silky astringency. The former provides a negative sensation to tea assessors, while the latter positively impacts on human sensation[28]. Simple catechins and procyanidins are the puckering astringent type, whereas flavonol glycosides are the velvety astringent type, such as kaempferol 3-O-glucoside, quercetin 3-O-galactoside, and myricetin 3-O-glucoside[28]. Among the flavonoids and their glycosides, 31 compounds showed a significant difference between the four Keemun teas. Most flavonoids and their glycosides had a high concentration in Keemun Maofeng and Congou, except for kaempferol-3-O-di-p-coumaroylhexosides and kaempferol (Supplemental Table S1). The kaempferol was highly concentrated in JZ teas, attributed to the decomposition of the glycoside.

      Theaflavins were highly concentrated in Keemun Maofeng and Congou, consistent with the tea pigment results. Theaflavins and glucose in thermal conditions could yield theaflavin-3,3′-digallate-glucose and theaflavin-gallate-di-glucose[16]. Based on mass data from previous studies, the [M‒H] precursor ion was restricted with 1,039.2344 (theaflavin-gallate + 2glucose-2H2O), 1,029.1926 (theaflavin-3,3'-digallate-glucose), and 1,011.1811 (theaflavin-3,3'-digallate-glucose-2H2O). The results showed that 1,039.2344 and 1,029.1926 m/z hardly extracted any peaks from MS data, whereas the extraction of 1,011.1811 m/z reached an exceptionally low response value (Supplemental Fig. S1). The response of 1,011.1811 m/z in JZ teas was not stronger than in MF, CG, and XL, whereas the soluble sugar content in JZ teas was lower than in other teas. Our data suggested that theaflavins-glucose conjugates could be detected in Keemun black teas with a trace content, and the decrease of theaflavins and sugars concentration in JZ and XL teas might be attributed to polymerization of theaflavins and the Maillard reaction. For example, theadibenzotropolone A (C50H38O21), a pigment is oxidated from (−)-epicatechin, (−)-epigallocatechin gallate, and theaflavin 3-gallate[30]. We also searched this compound using its [M‒H] precursor ion (973.1833 m/z). The results showed that the 973.1833 m/z has an extremely low response in MS data (about 7e4), below the set detection value (Supplemental Fig. S2). The composition of theabrownin still needs to be elucidated.

    • Partial least squares discriminant (PLS-DA) and hierarchical clustering analysis (HCA) results showed that four Keemun black tea types were classified into two groups, the Maofeng-Congou group and the Jinzhen-Xiangluo group (Fig. 4a & b). Orthogonal partial least squares discriminant analysis (OPLS-DA) was used to identify the differential metabolites between the two groups. Sixteen differential metabolites (VIP value ≥ 1) and 12 compounds with a p-value of Student's t-test ≤ 0.05 were identified between MF and JZ teas (Fig. 4c & d).

      Figure 4. 

      Identification of differential nonvolatiles between four Keemun black tea types. (a) Principal component analysis (PCA); (b) hierarchical clustering analysis; (c) and (d) orthogonal partial least squares discriminant analysis (OPLS-DA) and differential metabolites between MF and JZ teas; (e) and (f) OPLS-DA analysis and differential metabolites between MF and CG teas.

      Among these, p-coumaroylquinic acids were dominant. Coffee roasting experiments showed that 11% of p-coumaroylquinic acids were lost after 210 °C treatment for 20 min, especially 5-p-coumaroylquinic acid[31]. Slight differences in taste flavor between MF-CG and XL-JZ groups are attributed to the shaping stage, which gives a thermal reaction and causes the loss of soluble sugars, p-coumaroylquinic acids, catechins, and theaflavins. Three thermal treatments on Maofeng were performed to elucidate the change mechanism of nonvolatiles.

      PCA results showed that the thermal reaction at different temperatures has an important influence on the nonvolatile profile (Fig. 5a). Twenty-six differential metabolites with a VIP value ≥ 1 were identified (Fig. 5b). The p-coumaroylquinic acids increased at 90 °C treatment but decreased significantly at 130−150 °C treatments. Especially 3-p-coumaroylquinic acid, its abundance reduced by 84% at 130 °C for 2 h and was hardly detected after 150 °C treatment. In addition, the epimerization and polymerization of catechins were observed after thermal treatments. The pigment, theadibenzotropolone A, increased as the temperature moved up. A previous study showed that oxidation of EGCG/GCG and ECG/CG yielded gallic acid, de-galloyl flavanols, and corresponding o-quinone derivatives[32].

      Figure 5. 

      Thermal treatments of MF black tea samples. (a) PCA; (b) differential nonvolatiles (VIP ≥ 1).

      Thirteen differential metabolites (VIP value ≥ 1) and seven compounds with a p-value of Student's t-test ≤ 0.05 were identified between Maofeng and Congou teas (Fig. 4e & f). Most differential compound concentrations were higher in MF teas, except for quinic acid. Quinic acid was significantly negatively correlated with sweet taste[14]. This might explain why the sweetness intensity of Congou was slightly lower than that of Maofeng black tea infusions. As described in a previous study[5], Maofeng teas could be recognized as the primary materials for Congou teas. Maofeng black teas contain complete tender shoots: one bud and one leaf or one bud and two leaves. After the refining and blending stage, Keemun Congou teas contain twisted strip/wiry leaves, shotty/curly/semi-curly Pekoe, bud tips, small slices, and powdered tea. Our previous study separated tea tender shoots into buds, leaves, and stems, and processed them into black teas[33]. Their nonvolatile profiles were analyzed using UPLC-QTRAP-MS/MS in this study.

    • The metabolite profile in bud, leaf, and stem black teas differed considerably, combined with our previous study[33]. A total of 57% amino acids were concentrated in stem black tea. In contrast, only 14% of catechins were detected (Fig. 6a). Tea pigments, such as TF, TRs, and TB, were also lowly concentrated in stem black tea because of the low concentration of catechins. The total volatile concentration was higher in bud black tea than in stem black tea. Still, benzaldehyde and benzeneacetaldehyde odorants (with a strong honey-like aroma) are highly concentrated in stem black tea[33].

      Figure 6. 

      Metabolite profiles of bud (BT), leaf (LT), and stem (ST) black tea. (a) Concentration proportion of nonvolatile and volatile compounds in BT, LT and ST; (b) nonvolatiles with a high concentration in BT; (c) nonvolatiles with a high concentration in BT and LT; (d) nonvolatiles with a high concentration in LT an ST.

      The LC-MS/MS results showed that the majority of nonvolatiles were lowly concentrated in stem black tea (Fig. 6b & c). Catechin dimers, proanthocyanidins, β-glucogallin, and galloyl glucoses were highly concentrated in bud black tea (Fig. 6b). Myricetin, myricetin glycosides, kaempferol, kaempferol glycosides, and galloyl theaflavins were more abundant in bud and leaf black teas (Fig. 6c). In contrast, quercetin, quercetin glycosides, theaflavin, quinic acid, and p-coumaroylquinic acids were more abundant in leaf and stem black teas (Fig. 6d). The accumulation pattern of flavonoids and its glycosides varies significantly with organs of tea plant[34]. Flavonol mono-, di-, and tri-glycoside mostly accumulated in young tea shoots[24]; young leaf had higher concentrations of kaempferol glycosides, while young stem had higher concentrations of quercetin glycosides. A recent study also showed that the nonvolatile profiles of black tea samples made by different tenderness of tea fresh leaves differed, contributing to their distinguished flavor[35].

      Supplemental Figure S3 shows a blending principle for traditional Keemun black tea, and this recipe is only prepared for the third grade of Keemun Congou black tea. S1‒S4 refers to the four screening stages; each stage has six sifters of different sizes. M is the last batch of Keemun black tea samples. Hence, according to the scientific recipe, the percentage of twisted strip/wiry leaf, shotty/curly/semi-curly Pekoe, bud tips, small slices and powdered tea is scientifically assigned during the Keemun Congou black tea blending stage. Our previous study showed that Congou black teas contained a highly volatile concentration compared to the other three Keemun black tea types[5]. In the current study, even though Maofeng black tea had a high taste score and abundant nonvolatiles, its aroma was inferior to Keemun Congou black tea. We suggest that the experienced recipe for Keemun Congou gives multiple and coordinated flavors to human sensation.

    • In the current study, four Keemun black tea types were analyzed comprehensively, including taste characteristics, nonvolatile profiles, and differential metabolites. Maofeng black teas without a shaping process reduced the thermal reaction and maintained more catechins, theaflavins, soluble sugars, flavonoids, and glycosides. Jinzhen and Xiangluo, black teas with a shaping stage, contained more polymerized nonvolatile compounds, such as theabrownine and kaempferol-3-O-di-p-coumaroylhexosides. In contrast, soluble sugars, theanine, and amino acids were lowly concentrated in them. The nonvolatile and volatile profiles are differentiated in bud, leaf, and stem black teas. Keemun Congou black teas have complicated refining and blending processes, and the scientific proportion of tea buds, stems, and leaf pieces give a coordinated quality to it. This study indicates that manufacturing processes change the metabolite profile and give customers an alterable flavor and consumption feature.

    • The authors confirm contributions to the paper as follows: study conception and design: Zhou H, Lei P; material preparation and data collection: Xu Y, Wu Q, Yang J; data analysis: Zhou H, Xu Y; draft manuscript preparation and revision: Zhou H, Lei P; partial funds and consultation: Zhou H, Lei P. All authors read and approved the final manuscript.

    • The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

      • This work was supported by the Second Level Youth Development Fund (QNYC-202119) from Anhui Academy of Agricultural Sciences, Anhui Science and Technology Major Program (202003a06020019), and the National Natural Science Foundation of China (Grant Number 32002096). We are grateful to Anhui Keemun Black Tea Development Co., Ltd for providing the flow picture of traditional Keemun black tea processing in Fig. 1.

      • The authors declare that they have no conflict of interest.

      • Supplemental Table S1 Identification of 87 nonvolatile compounds in this study.
      • Supplemental Fig. S1 The 1011.1811 m/z ion chromatogram extracted from MS data of the four Keemun black tea infusions.
      • Supplemental Fig. S2 The ion chromatogram of theadibenzotropolone A (C50H38O21) using its precursor ion (973.1833).
      • Supplemental Fig. S3 A blending principle for the third grade of Orthodox Keemun black tea.
      • Copyright: © 2024 by the author(s). Published by Maximum Academic Press, Fayetteville, GA. This article is an open access article distributed under Creative Commons Attribution License (CC BY 4.0), visit https://creativecommons.org/licenses/by/4.0/.
    Figure (6)  References (35)
  • About this article
    Cite this article
    Zhou H, Xu Y, Wu Q, Yang J, Lei P. 2024. Identification and comparison of nonvolatile profiles of the four Keemun black tea types. Beverage Plant Research 4: e036 doi: 10.48130/bpr-0024-0025
    Zhou H, Xu Y, Wu Q, Yang J, Lei P. 2024. Identification and comparison of nonvolatile profiles of the four Keemun black tea types. Beverage Plant Research 4: e036 doi: 10.48130/bpr-0024-0025

Catalog

  • About this article

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return