[1]

ITC. 2023. Annual bulletin of statistic 2023. The International Tea Committee, London, UK

[2]

Wong M, Sirisena S, Ng K. 2022. Phytochemical profile of differently processed tea: a review. Journal of Food Sciences 87:1925−42

doi: 10.1111/1750-3841.16137
[3]

Ni T, Xu S, Wei Y, Li T, Jin G, et al. 2021. Understanding the promotion of withering treatment on quality of postharvest tea leaves using UHPLC-orbitrap-MS metabolomics integrated with TMT-Based proteomics. LWT 147:111614

doi: 10.1016/j.lwt.2021.111614
[4]

Wang Y, Zheng PC, Liu PP, Song XW, Guo F, et al. 2019. Novel insight into the role of withering process in characteristic flavor formation of teas using transcriptome analysis and metabolite profiling. Food Chemistry 272:313−22

doi: 10.1016/j.foodchem.2018.08.013
[5]

Deb S, Jolvis Pou KR. 2016. A review of withering in the processing of black tea. Journal of Biosystems Engineering 41:365−72

doi: 10.5307/JBE.2016.41.4.365
[6]

Lv Z, Zhang C, Shao C, Liu B, Liu E, et al. 2021. Research progress on the response of tea catechins to drought stress. Journal of the Science of Food and Agriculture 101:5305−13

doi: 10.1002/jsfa.11330
[7]

Bozzo GG, Unterlander N. 2021. In through the out door: biochemical mechanisms affecting flavonoid glycoside catabolism in plants. Plant Science 308:110904

doi: 10.1016/j.plantsci.2021.110904
[8]

Liu W, Feng Y, Yu S, Fan Z, Li X, et al. 2021. The flavonoid biosynthesis network in plants. International Journal of Molecular Sciences 22:12824

doi: 10.3390/ijms222312824
[9]

Shi J, Yang G, You Q, Sun S, Chen R, et al. 2021. Updates on the chemistry, processing characteristics, and utilization of tea flavonoids in last two decades (2001-2021). Critical Reviews in Food Science and Nutrition 63:4757−84

doi: 10.1080/10408398.2021.2007353
[10]

Alizadeh SR, Ali Ebrahimzadeh M. 2022. O-Glycoside quercetin derivatives: biological activities, mechanisms of action, and structure–activity relationship for drug design, a review. Phytotherapy Research 36:778−807

doi: 10.1002/ptr.7352
[11]

Guo XY, Lv YQ, Ye Y, Liu ZY, Zheng XQ, et al. 2021. Polyphenol oxidase dominates the conversions of flavonol glycosides in tea leaves. Food Chemistry 339:128088

doi: 10.1016/j.foodchem.2020.128088
[12]

do Socorro S Chagas M, Behrens MD, Moragas-Tellis CJ, Penedo GXM, Silva AR, et al. 2022. Flavonols and flavones as potential anti-inflammatory, antioxidant, and antibacterial compounds. Oxidative Medicine and Cellular Longevity 2022:9966750

doi: 10.1155/2022/9966750
[13]

Ji Y, Li B, Qiao M, Li J, Xu H, et al. 2020. Advances on the in vivo and in vitro glycosylations of flavonoids. Applied Microbiology and Biotechnology 104:6587−600

doi: 10.1007/s00253-020-10667-z
[14]

Feng Z, Li M, Li Y, Yin J, Wan X, et al. 2022. Characterization of the key aroma compounds in infusions of four white teas by the sensomics approach. European Food Research and Technology 248:1299−309

doi: 10.1007/s00217-022-03967-3
[15]

Zhou S, Zhang J, Ma S, Ou C, Feng X, et al. 2023. Recent advances on white tea: manufacturing, compositions, aging characteristics and bioactivities. Trends in Food Science & Technology 134:41−55

doi: 10.1016/j.jpgs.2023.02.016
[16]

Yue C, Cao HL, Chen D, Lin HZ, Wang Z, et al. 2018. Comparative transcriptome study of hairy and hairless tea plant (Camellia sinensis) shoots. Journal of Plant Physiology 229:41−52

doi: 10.1016/j.jplph.2018.07.002
[17]

Deng X, Shang H, Chen J, Wu J, Wang T, et al. 2022. Metabolomics combined with proteomics provide a novel interpretation of the changes in flavonoid glycosides during white tea processing. Foods 11:1226

doi: 10.3390/foods11091226
[18]

Wu H, Chen Y, Feng W, Shen S, Wei Y, et al. 2022. Effects of three different withering treatments on the aroma of white tea. Foods 11:2502

doi: 10.3390/foods11162502
[19]

Fang ZT, Song CJ, Xu HR, Ye JH. 2019. Dynamic changes in flavonol glycosides during production of green, yellow, white, oolong and black teas from Camellia sinensis L. (cv. Fudingdabaicha). International Journal of Food Science & Technology 54:490−98

doi: 10.1111/ijfs.13961
[20]

Dai W, Xie D, Lu M, Li P, Lv H, et al. 2017. Characterization of white tea metabolome: comparison against green and black tea by a nontargeted metabolomics approach. Food Research International 96:40−45

doi: 10.1016/j.foodres.2017.03.028
[21]

Tian S, Zhou H, Yao X, Lu L. 2024. Finding the optimal light quality and intensity for the withering process of Fuding Dabai tea and its impact on quality formation. LWT 193:115713

doi: 10.1016/j.lwt.2023.115713
[22]

Zou L, Shen S, Wei Y, Jia H, Li T, et al. 2022. Evaluation of the effects of solar withering on nonvolatile compounds in white tea through metabolomics and transcriptomics. Food Research International 162:112088

doi: 10.1016/j.foodres.2022.112088
[23]

Zhou B, Wang Z, Yin P, Ma B, Ma C, et al. 2022. Impact of prolonged withering on phenolic compounds and antioxidant capability in white tea using LC-MS-based metabolomics and HPLC analysis: comparison with green tea. Food Chemistry 368:130855

doi: 10.1016/j.foodchem.2021.130855
[24]

Zhou C, Zhu C, Li X, Chen L, Xie S, et al. 2022. Transcriptome and phytochemical analyses reveal the roles of characteristic metabolites in the taste formation of white tea during the withering process. Journal of Integrative Agriculture 21:862−77

doi: 10.1016/S2095-3119(21)63785-1
[25]

Aaqil M, Peng C, Kamal A, Nawaz T, Zhang F, et al. 2023. Tea harvesting and processing techniques and its effect on phytochemical profile and final quality of black tea: a review. Foods 12:4467

doi: 10.3390/foods12244467
[26]

Ntezimana B, Li Y, He C, Yu X, Zhou J, et al. 2021. Different withering times affect sensory qualities, chemical components, and nutritional characteristics of black tea. Foods 10:2627

doi: 10.3390/foods10112627
[27]

Zhou Y, Luo F, Gong X, Liu D, Li L, et al. 2022. Targeted metabolomics and DIA proteomics-based analyses of proteinaceous amino acids and driving proteins in black tea during withering. LWT 165:113701

doi: 10.1016/j.lwt.2022.113701
[28]

Ye Y, Dong C, Luo F, Cui J, Liao X, et al. 2020. Effects of withering on the main physical properties of withered tea leaves and the sensory quality of congou black tea. Journal of Texture Studies 51:542−53

doi: 10.1111/jtxs.12498
[29]

Baruah D, Bhuyan LP, Hazarika M. 2012. Impact of moisture loss and temperature on biochemical changes during withering stage of black tea processing on four Tocklai released clones. Two and a Bud 59:134−42

[30]

Tomlins KI, Mashingaidze A. 1997. Influence of withering, including leaf handling, on the manufacturing and quality of black teas — a review. Food Chemistry 60:573−80

doi: 10.1016/S0308-8146(97)00035-6
[31]

Yu X, Li Y, He C, Zhou J, Chen Y, et al. 2020. Nonvolatile metabolism in postharvest tea (Camellia sinensis L.) leaves: effects of different withering treatments on nonvolatile metabolites, gene expression levels, and enzyme activity. Food Chemistry 327:126992

doi: 10.1016/j.foodchem.2020.126992
[32]

Huang W, Lu G, Deng WW, Ning J. 2022. Effects of different withering methods on the taste of Keemun black tea. LWT 166:113791

doi: 10.1016/j.lwt.2022.113791
[33]

Wang H, Wang J, Yuan H, Shen S, Li J, et al. 2022. Novel insights into the effect of withering degree on Dianhong Congou black tea quality. International Journal of Food Science & Technology 57:3713−26

doi: 10.1111/ijfs.15697
[34]

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
[35]

Li Y, He C, Yu X, Zhou J, Ran W, et al. 2021. Effects of red-light withering on the taste of black tea as revealed by non-targeted metabolomics and transcriptomics analysis. LWT 147:111620

doi: 10.1016/j.lwt.2021.111620
[36]

Lin J, Liu F, Zhou X, Tu Z, Chen L, et al. 2022. Effect of red light on the composition of metabolites in tea leaves during the withering process using untargeted metabolomics. Journal of the Science of Food and Agriculture 102:1628−39

doi: 10.1002/jsfa.11500
[37]

Collings ER, Alamar MC, Márquez MB, Kourmpetli S, Kevei Z, et al. 2021. Improving the tea withering process using ethylene or UV-C. Journal of Agricultural and Food Chemistry 69:13596−607

doi: 10.1021/acs.jafc.1c02876
[38]

Ding F, Zhang Y, Lin J, Zhong S, Li P, et al. 2024. Comparative transcriptome and metabolome analyses revealed quality difference between beauty tea processed through indoor withering and outdoor solar withering. Journal of the Science of Food and Agriculture 104:1039−50

doi: 10.1002/jsfa.12990
[39]

Li D, Li CY, Hu CJ, Yang YS, Lin C, et al. 2020. Study on the accumulation mechanism of amino acids during bruising and withering treatment of oolong tea. Journal of Agricultural and Food Chemistry 68:14071−80

doi: 10.1021/acs.jafc.0c05344
[40]

Deng H, Chen S, Zhou Z, Li X, Chen S, et al. 2020. Transcriptome analysis reveals the effect of short-term sunlight on aroma metabolism in postharvest leaves of oolong tea (Camellia sinensis). Food Research International 137:109347

doi: 10.1016/j.foodres.2020.109347
[41]

Hu CJ, Li D, Ma YX, Zhang W, Lin C, et al. 2018. Formation mechanism of the oolong tea characteristic aroma during bruising and withering treatment. Food Chemistry 269:202−11

doi: 10.1016/j.foodchem.2018.07.016
[42]

Chen S, Liu H, Zhao X, Li X, Shan W, et al. 2020. Non-targeted metabolomics analysis reveals dynamic changes of volatile and non-volatile metabolites during oolong tea manufacture. Food Research International 128:108778

doi: 10.1016/j.foodres.2019.108778
[43]

Wang Y, Li C, Lin J, Sun Y, Wei S, et al. 2022. The impact of different withering approaches on the metabolism of flavor compounds in oolong tea leaves. Foods 11:3601

doi: 10.3390/foods11223601
[44]

Zhu C, Zhang S, Fu H, Zhou C, Chen L, et al. 2019. Transcriptome and phytochemical analyses provide new insights into long non-coding RNAs modulating characteristic secondary metabolites of oolong tea (Camellia sinensis) in solar-withering. Frontiers in Plant Science 10:1638

doi: 10.3389/fpls.2019.01638
[45]

Zhu C, Zhang S, Zhou C, Chen L, Zaripov T, et al. 2020. Integrated transcriptome, microRNA, and phytochemical analyses reveal roles of phytohormone signal transduction and ABC transporters in flavor formation of oolong tea (Camellia sinensis) during solar withering. Journal of Agricultural and Food Chemistry 68:12749−67

doi: 10.1021/acs.jafc.0c05750
[46]

Prawira-Atmaja MI, Ula F, Maulana H, Harianto S, Shabri̇ S, et al. 2022. Effect of fixation methods and various clones of Camellia sinensis var. sinensis (L) properties and antioxidant activity of Indonesian green tea. International Journal of Secondary Metabolite 9:278−89

doi: 10.21448/ijsm.1014894
[47]

Chen M, Fang D, Gou H, Wang S, Yue W. 2022. Quantitative measurement reveals dynamic volatile changes and potential biochemical mechanisms during green tea spreading treatment. ACS Omega 7:40009−20

doi: 10.1021/acsomega.2c04654
[48]

Ye Y, Yan J, Cui J, Mao S, Li M, et al. 2018. Dynamic changes in amino acids, catechins, caffeine and Gallic acid in green tea during withering. Journal of Food Composition and Analysis 66:98−108

doi: 10.1016/j.jfca.2017.12.008
[49]

Yu X, He C, Li Y, Zhou J, Chen Y, et al. 2021. Effects of different spreading treatments on the formation of aroma quality in green tea. Beverage Plant Research 1:14

doi: 10.48130/BPR-2021-0014
[50]

Yu X, Hu S, He C, Zhou J, Qu F, et al. 2019. Chlorophyll metabolism in postharvest tea (Camellia sinensis L.) leaves: variations in color values, chlorophyll derivatives, and gene expression levels under different withering treatments. Journal of Agricultural and Food Chemistry 67:10624−36

doi: 10.1021/acs.jafc.9b03477
[51]

Ye JH, Ye Y, Yin JF, Jin J, Liang YR, et al. 2022. Bitterness and astringency of tea leaves and products: Formation mechanism and reducing strategies. Trends in Food Science & Technology 123:130−43

doi: 10.1016/j.jpgs.2022.02.031
[52]

Zheng XQ, Nie Y, Gao Y, Huang B, Ye JH, et al. 2018. Screening the cultivar and processing factors based on the flavonoid profiles of dry teas using principal component analysis. Journal of Food Composition and Analysis 67:29−37

doi: 10.1016/j.jfca.2017.12.016
[53]

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
[54]

Jiang X, Shi Y, Fu Z, Li WW, Lai S, et al. 2020. Functional characterization of three flavonol synthase genes from Camellia sinensis: roles in flavonol accumulation. Plant Science 300:110632

doi: 10.1016/j.plantsci.2020.110632
[55]

Dong F, Hu J, Shi Y, Liu M, Zhang Q, et al. 2019. Effects of nitrogen supply on flavonol glycoside biosynthesis and accumulation in tea leaves (Camellia sinensis). Plant Physiology and Biochemistry 138:48−57

doi: 10.1016/j.plaphy.2019.02.017
[56]

Jiang H, Engelhardt UH, Thräne C, Maiwald B, Stark J. 2015. Determination of flavonol glycosides in green tea, oolong tea and black tea by UHPLC compared to HPLC. Food Chemistry 183:30−35

doi: 10.1016/j.foodchem.2015.03.024
[57]

Shan X, Yu Q, Chen L, Zhang S, Zhu J, et al. 2023. Analyzing the influence of withering degree on the dynamic changes in non-volatile metabolites and sensory quality of Longjing green tea by non-targeted metabolomics. Frontiers in Nutrition 10:1104926

doi: 10.3389/fnut.2023.1104926
[58]

Fang ZT, Yang WT, Li CY, Li D, Dong JJ, et al. 2021. Accumulation pattern of catechins and flavonol glycosides in different varieties and cultivars of tea plant in China. Journal of Food Composition and Analysis 97:103772

doi: 10.1016/j.jfca.2020.103772
[59]

Cui L, Yao S, Dai X, Yin Q, Liu Y, et al. 2016. Identification of UDP-glycosyltransferases involved in the biosynthesis of astringent taste compounds in tea (Camellia sinensis). Journal of Experimental Botany 67:2285−97

doi: 10.1093/jxb/erw053
[60]

Wu C, Xu H, Héritier J, Andlauer W. 2012. Determination of catechins and flavonol glycosides in Chinese tea varieties. Food Chemistry 132:144−49

doi: 10.1016/j.foodchem.2011.10.045
[61]

Song R, Kelman D, Johns KL, Wright AD. 2012. Correlation between leaf age, shade levels, and characteristic beneficial natural constituents of tea (Camellia sinensis) grown in Hawaii. Food Chemistry 133:707−14

doi: 10.1016/j.foodchem.2012.01.078
[62]

Zhu J, Xu Q, Zhao S, Xia X, Yan X, et al. 2020. Comprehensive co-expression analysis provides novel insights into temporal variation of flavonoids in fresh leaves of the tea plant (Camellia sinensis). Plant Science 290:110306

doi: 10.1016/j.plantsci.2019.110306
[63]

Ye Y, Liu RY, Li X, Zheng XQ, Lu JL, et al. 2024. CsMYB67 participates in the flavonoid biosynthesis of summer tea leaves. Horticulture Research 11:uhad231

doi: 10.1093/hr/uhad231
[64]

Lin N, Liu X, Zhu W, Cheng X, Wang X, et al. 2021. Ambient ultraviolet B signal modulates tea flavor characteristics via shifting a metabolic flux in flavonoid biosynthesis. Journal of Agricultural and Food Chemistry 69:3401−14

doi: 10.1021/acs.jafc.0c07009
[65]

Wang Y, Gao L, Shan Y, Liu Y, Tian Y, et al. 2012. Influence of shade on flavonoid biosynthesis in tea (Camellia sinensis (L.) O. Kuntze). Scientia Horticulturae 141:7−16

doi: 10.1016/j.scienta.2012.04.013
[66]

Li X, Zhang L, Ahammed GJ, Li YT, Wei JP, et al. 2019. Salicylic acid acts upstream of nitric oxide in elevated carbon dioxide-induced flavonoid biosynthesis in tea plant (Camellia sinensis L.). Environmental and Experimental Botany 161:367−74

doi: 10.1016/j.envexpbot.2018.11.012
[67]

Li X, Zhang L, Ahammed GJ, Li ZX, Wei JP, et al. 2017. Stimulation in primary and secondary metabolism by elevated carbon dioxide alters green tea quality in Camellia sinensis L. Scientific Reports 7:7937

doi: 10.1038/s41598-017-08465-1
[68]

O'Neill BF, Zangerl AR, Dermody O, Bilgin DD, Casteel CL, et al. 2010. Impact of elevated levels of atmospheric CO2 and herbivory on flavonoids of soybean (Glycine max Linnaeus). Journal of Chemical Ecology 36:35−45

doi: 10.1007/s10886-009-9727-0
[69]

Shao C, Zhang C, Lv Z, Shen C. 2021. Pre- and post-harvest exposure to stress influence quality-related metabolites in fresh tea leaves (Camellia sinensis). Scientia Horticulturae 281:109984

doi: 10.1016/j.scienta.2021.109984
[70]

Li Z, Han Y, Li X, Zhao J, Wang N, et al. 2024. The phosphorylation of a WD40-repeat protein negatively regulates flavonoid biosynthesis in Camellia sinensis under drought stress. Horticulture Research 11:uhae136

doi: 10.1093/hr/uhae136
[71]

Gu H, Wang Y, Xie H, Qiu C, Zhang S, et al. 2020. Drought stress triggers proteomic changes involving lignin, flavonoids and fatty acids in tea plants. Scientific Reports 10:15504

doi: 10.1038/s41598-020-72596-1
[72]

Wang L, Di T, Peng J, Li Y, Li N, et al. 2022. Comparative metabolomic analysis reveals the involvement of catechins in adaptation mechanism to cold stress in tea plant (Camellia sinensis var. sinensis). Environmental and Experimental Botany 201:104978

doi: 10.1016/j.envexpbot.2022.104978
[73]

Zhao M, Jin J, Gao T, Zhang N, Jing T, et al. 2019. Glucosyltransferase CsUGT78A14 regulates flavonols accumulation and reactive oxygen species scavenging in response to cold stress in Camellia sinensis. Frontiers in Plant Science 10:1675

doi: 10.3389/fpls.2019.01675
[74]

Wan S, Zhang Y, Liu L, Xiao Y, He J, et al. 2024. Comparative effects of salt and alkali stress on photosynthesis and antioxidant system in tea plant (Camellia sinensis). Plant Growth Regulation 103:565−79

doi: 10.1007/s10725-023-01115-9
[75]

Sun CH, Yang CY, Tzen JTC. 2018. Molecular identification and characterization of hydroxycinnamoyl transferase in tea plants (Camellia sinensis L.). International Journal of Molecular Sciences 19:3938

doi: 10.3390/ijms19123938
[76]

Wang M, Yang J, Li J, Zhou X, Xiao Y, et al. 2022. Effects of temperature and light on quality-related metabolites in tea [Camellia sinensis (L.) Kuntze] leaves. Food Research International 161:111882

doi: 10.1016/j.foodres.2022.111882
[77]

Sachdev S, Ansari SA, Ansari MI, Fujita M, Hasanuzzaman M. 2021. Abiotic stress and reactive oxygen species: generation, signaling, and defense mechanisms. Antioxidants 10:277

doi: 10.3390/antiox10020277
[78]

Huang H, Ullah F, Zhou DX, Yi M, Zhao Y. 2019. Mechanisms of ROS regulation of plant development and stress responses. Frontiers in Plant Science 10:800

doi: 10.3389/fpls.2019.00800
[79]

Mandal M, Sarkar M, Khan A, Biswas M, Masi A, et al. 2022. Reactive Oxygen Species (ROS) and Reactive Nitrogen Species (RNS) in plants–maintenance of structural individuality and functional blend. Advances in Redox Research 5:100039

doi: 10.1016/j.arres.2022.100039
[80]

Foyer CH. 2018. Reactive oxygen species, oxidative signaling and the regulation of photosynthesis. Environmental and Experimental Botany 154:134−42

doi: 10.1016/j.envexpbot.2018.05.003
[81]

Das K, Roychoudhury A. 2014. Reactive oxygen species (ROS) and response of antioxidants as ROS-scavengers during environmental stress in plants. Frontiers in Environmental Science 2:53

doi: 10.3389/fenvs.2014.00053
[82]

Mansoor S, Ali Wani O, Lone JK, Manhas S, Kour N, et al. 2022. Reactive oxygen species in plants: from source to sink. Antioxidants 11:225

doi: 10.3390/antiox11020225
[83]

Mishra N, Jiang C, Chen L, Paul A, Chatterjee A, et al. 2023. Achieving abiotic stress tolerance in plants through antioxidative defense mechanisms. Frontiers in Plant Science 14:1110622

doi: 10.3389/fpls.2023.1110622
[84]

Zhang Q, Liu M, Ruan J. 2017. Metabolomics analysis reveals the metabolic and functional roles of flavonoids in light-sensitive tea leaves. BMC Plant Biology 17:64

doi: 10.1186/s12870-017-1012-8
[85]

Estévez L, Otero N, Mosquera RA. 2010. A computational study on the acidity dependence of radical-scavenging mechanisms of anthocyanidins. The Journal of Physical Chemistry B 114:9706−12

doi: 10.1021/jp1041266
[86]

Stepanić V, Gall Trošelj K, Lučić B, Marković Z, Amić D. 2013. Bond dissociation free energy as a general parameter for flavonoid radical scavenging activity. Food Chemistry 141:1562−70

doi: 10.1016/j.foodchem.2013.03.072
[87]

Leopoldini M, Russo N, Toscano M. 2011. The molecular basis of working mechanism of natural polyphenolic antioxidants. Food Chemistry 125:288−306

doi: 10.1016/j.foodchem.2010.08.012
[88]

Xu P, Su H, Zhao S, Jin R, Cheng H, et al. 2020. Transcriptome and phytochemical analysis reveals the alteration of plant hormones, characteristic metabolites, and related gene expression in tea (Camellia sinensis L.) leaves during withering. Plants 9:204

doi: 10.3390/plants9020204
[89]

Ye Y, Gong Y, Huang P, Luo F, Gan R, et al. 2024. Dynamic changes in the non-volatile and flavour compounds in withered tea leaves of three different colour cultivars based on multi-omics. Food Chemistry 449:139281

doi: 10.1016/j.foodchem.2024.139281
[90]

Huang T, Zhang Y, Wang X, Zhang H, Chen C, et al. 2025. Comprehensive metabolite profiling reveals the dynamic changes of volatile and non-volatile metabolites in albino tea cultivar 'Ming Guan' (MG) during white tea withering process. Food Research International 202:115784

doi: 10.1016/j.foodres.2025.115784
[91]

Daryanavard H, Postiglione AE, Mühlemann JK, Muday GK. 2023. Flavonols modulate plant development, signaling, and stress responses. Current Opinion in Plant Biology 72:102350

doi: 10.1016/j.pbi.2023.102350
[92]

Tang MG, Zhang S, Xiong LG, Zhou JH, Huang JA, et al. 2023. A comprehensive review of polyphenol oxidase in tea (Camellia sinensis): physiological characteristics, oxidation manufacturing, and biosynthesis of functional constituents. Comprehensive Reviews in Food Science and Food Safety 22:2267−91

doi: 10.1111/1541-4337.13146
[93]

Wang Z, Gao C, Zhao J, Zhang J, Zheng Z, et al. 2024. The metabolic mechanism of flavonoid glycosides and their contribution to the flavor evolution of white tea during prolonged withering. Food Chemistry 439:138133

doi: 10.1016/j.foodchem.2023.138133
[94]

Agati G, Azzarello E, Pollastri S, Tattini M. 2012. Flavonoids as antioxidants in plants: location and functional significance. Plant Science 196:67−76

doi: 10.1016/j.plantsci.2012.07.014
[95]

Pourcel L, Routaboul JM, Cheynier V, Lepiniec L, Debeaujon I. 2007. Flavonoid oxidation in plants: from biochemical properties to physiological functions. Trends in Plant Science 12:29−36

doi: 10.1016/j.tplants.2006.11.006
[96]

Lin J, Lin H, Li C, Liao N, Zheng Y, et al. 2024. Unveiling characteristic metabolic accumulation over enzymatic-catalyzed process of Tieguanyin oolong tea manufacturing by DESI-MSI and multiple-omics. Food Research International 181:114136

doi: 10.1016/j.foodres.2024.114136
[97]

Zhou J, Yu X, He C, Qiu A, Li Y, et al. 2020. Withering degree affects flavor and biological activity of black tea: a non-targeted metabolomics approach. LWT 130:109535

doi: 10.1016/j.lwt.2020.109535
[98]

Wu H, Sheng C, Lu M, Ke H, Li T, et al. 2024. Identification of the causes of aroma differences in white tea under different withering methods by targeted metabolomics. Food Bioscience 59:104020

doi: 10.1016/j.fbio.2024.104020
[99]

Jia X, Zhang Q, Chen M, Wang Y, Lin S, et al. 2023. Analysis of the effect of different withering methods on tea quality based on transcriptomics and metabolomics. Frontiers in Plant Science 14:1235687

doi: 10.3389/fpls.2023.1235687
[100]

Sharma P, Jha AB, Dubey RS, Pessarakli M. 2012. Reactive oxygen species, oxidative damage, and antioxidative defense mechanism in plants under stressful conditions. Journal of Botany 2012:217037

doi: 10.1155/2012/217037