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Hu Y, Wang J, Tang J, Huang R, Luo W, Tuo Y, Liao N, Zhuang D, Lin J, Zhang Y, Pan L, Wu L. Study on dynamic changes in characteristic volatile compounds uncovers aroma development of Hainan Dayezhong (Camellia sinensis var. assamica) black tea. Food Chem 2025; 477:143578. [PMID: 40023945 DOI: 10.1016/j.foodchem.2025.143578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2024] [Revised: 02/17/2025] [Accepted: 02/22/2025] [Indexed: 03/04/2025]
Abstract
To elucidate the characteristic aroma of Hainan Dayezhong black tea, GC-MS, GC-olfactometry, and electronic nose analyses were used to examine the changes in volatile compounds. A total of 527 volatiles were identified and quantified, of which 80 compounds with relative odor activity values exceeding 1 in dried tea samples were selected as biomarkers. Floral and sweet-associated volatiles, including damascenone, benzaldehyde, and linalool, were proposed to be responsible for the characteristic aroma. Our results indicated that multiple stresses occurring during withering, rolling, and fermentation contributed to the distinctive floral aroma, while the thermal effects of drying enhanced sweet odors by volatilizing certain fragrant compounds, thereby improving the final quality of the dried tea. These findings provide a foundation for quality control in practical manufacturing and will contribute to the development of standard operating procedures for producing Hainan Dayezhong black tea with desirable aromas.
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Affiliation(s)
- Yunfei Hu
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Horticulture, Fujian Agriculture and Forestry University, 15 Shangxiadian Road, Fuzhou 350002, China; Anxi College of Tea Science (College of Digital Economy), Fujian Agriculture and Forestry University, 788 East Second Ring Road, Anxi 362300, China
| | - Jialin Wang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Horticulture, Fujian Agriculture and Forestry University, 15 Shangxiadian Road, Fuzhou 350002, China
| | - Jun Tang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Horticulture, Fujian Agriculture and Forestry University, 15 Shangxiadian Road, Fuzhou 350002, China
| | - Ronghua Huang
- Anxi College of Tea Science (College of Digital Economy), Fujian Agriculture and Forestry University, 788 East Second Ring Road, Anxi 362300, China
| | - Wenyuan Luo
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Horticulture, Fujian Agriculture and Forestry University, 15 Shangxiadian Road, Fuzhou 350002, China
| | - Yanming Tuo
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Horticulture, Fujian Agriculture and Forestry University, 15 Shangxiadian Road, Fuzhou 350002, China
| | - Ningkai Liao
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Horticulture, Fujian Agriculture and Forestry University, 15 Shangxiadian Road, Fuzhou 350002, China
| | - Dawen Zhuang
- Hainan Zhenwuxiang Tea Industry Co., Ltd., 1 Shuimanxiang Road, Wuzhishan, 572200, China
| | - Jinke Lin
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Horticulture, Fujian Agriculture and Forestry University, 15 Shangxiadian Road, Fuzhou 350002, China
| | - Yue Zhang
- Anxi College of Tea Science (College of Digital Economy), Fujian Agriculture and Forestry University, 788 East Second Ring Road, Anxi 362300, China
| | - Lei Pan
- Center for Biosafety, Chinese Academy of Inspection and Quarantine, 12/F, Building T1, Science and Technology lnnovation Plaza, Sanya 572025, China
| | - Liangyu Wu
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Horticulture, Fujian Agriculture and Forestry University, 15 Shangxiadian Road, Fuzhou 350002, China.
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Zou H, Lan T, Jiang Y, Yu XL, Yuan H. Research on Rapid Detection Methods of Tea Pigments Content During Rolling of Black Tea Based on Machine Vision Technology. Foods 2024; 13:3718. [PMID: 39682790 DOI: 10.3390/foods13233718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Revised: 11/16/2024] [Accepted: 11/20/2024] [Indexed: 12/18/2024] Open
Abstract
As a crucial stage in the processing of black tea, rolling plays a significant role in both the color transformation and the quality development of the tea. In this process, the production of theaflavins, thearubigins, and theabrownins is a primary factor contributing to the alteration in color of rolled leaves. Herein, tea pigments are selected as the key quality indicators during rolling of black tea, aiming to establish rapid detection methods for them. A machine vision system is employed to extract nine color feature variables from the images of samples subjected to varying rolling times. Then, the tea pigment content in the corresponding samples is determined using a UV-visible spectrophotometer. In the meantime, the correlation between color variables and tea pigments is discussed. Additionally, Z-score and PCA are used to eliminate the magnitude difference and redundant information in original data. Finally, the quantitative prediction models of tea pigments based on the images' color features are established by using PLSR, SVR, and ELM. The data show that the Z-score-PCA-ELM model has the best prediction effect for tea pigments. The Rp values for the model prediction sets are all over 0.96, and the RPD values are all greater than 3.50. In this study, rapid determination methods for tea pigments during rolling of black tea are established. These methods offer significant technical support for the digital production of black tea.
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Affiliation(s)
- Hanting Zou
- Tea Research Institute, The Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
| | - Tianmeng Lan
- Tea Research Institute, The Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
| | - Yongwen Jiang
- Tea Research Institute, The Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
| | - Xiao-Lan Yu
- Tea Research Institute, The Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
| | - Haibo Yuan
- Tea Research Institute, The Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
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Zhou ZW, Wu QY, Wu Y, Deng TT, Li YQ, Tang LQ, He JH, Sun Y. Dynamic Change of Volatile Fatty Acid Derivatives (VFADs) and Their Related Genes Analysis during Innovative Black Tea Processing. Foods 2024; 13:3108. [PMID: 39410143 PMCID: PMC11475071 DOI: 10.3390/foods13193108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Revised: 09/24/2024] [Accepted: 09/27/2024] [Indexed: 10/20/2024] Open
Abstract
Volatile fatty acid derivatives (VFADs) play a significant role in contributing to flowery-fruity flavor black tea. Innovative black tea is typically crafted from aroma-intensive tea cultivars, such as Jinmudan, using defined production methodologies. In this study, the during-processing tea leaves of innovative black tea were applied as materials, and we selected a total of 45 VFADs, comprising 11 derived aldehydes, nine derived alcohols, and 25 derived esters. Furthermore, the dynamic variations of these VFADs were uncovered. Transcriptome analysis was performed to identify genes involved in the LOX (lipoxygenase) pathway, resulting in the identification of 17 CsLOX genes, one hydrogen peroxide lyase (CsHPL) gene, 11 alcohol dehydrogenases (CsADH) genes, 11 genes as acyl CoA oxidase (CsACOX) genes, and three allene oxide synthase (CsAOS) genes. Additionally, the expression levels of these genes were measured, indicating that the processing treatments of innovative black tea, particularly turn-over and fermentation, had a stimulation effect on most genes. Finally, qRT-PCR verification and correlation analysis were conducted to explain the relationship between VFADs and candidate genes. This study aims to provide a reference for illuminating the formation mechanisms of aroma compounds in innovative black tea, thereby inspiring the optimization of innovative processing techniques and enhancing the overall quality of black tea.
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Affiliation(s)
- Zi-Wei Zhou
- College of Bioscience and Engineering, Ningde Normal University, Ningde 352000, China; (Z.-W.Z.); (Y.-Q.L.); (L.-Q.T.)
| | - Qing-Yang Wu
- Key Laboratory of Tea Science in Fujian Province, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.-Y.W.); (Y.W.); (T.-T.D.); (J.-H.H.)
| | - Yang Wu
- Key Laboratory of Tea Science in Fujian Province, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.-Y.W.); (Y.W.); (T.-T.D.); (J.-H.H.)
| | - Ting-Ting Deng
- Key Laboratory of Tea Science in Fujian Province, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.-Y.W.); (Y.W.); (T.-T.D.); (J.-H.H.)
| | - Yu-Qing Li
- College of Bioscience and Engineering, Ningde Normal University, Ningde 352000, China; (Z.-W.Z.); (Y.-Q.L.); (L.-Q.T.)
| | - Li-Qun Tang
- College of Bioscience and Engineering, Ningde Normal University, Ningde 352000, China; (Z.-W.Z.); (Y.-Q.L.); (L.-Q.T.)
| | - Ji-Hang He
- Key Laboratory of Tea Science in Fujian Province, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.-Y.W.); (Y.W.); (T.-T.D.); (J.-H.H.)
| | - Yun Sun
- Key Laboratory of Tea Science in Fujian Province, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Q.-Y.W.); (Y.W.); (T.-T.D.); (J.-H.H.)
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Yang S, Pathak S, Tang H, Zhang D, Chen Y, Ntezimana B, Ni D, Yu Z. Non-Targeted Metabolomics Reveals the Effects of Different Rolling Methods on Black Tea Quality. Foods 2024; 13:325. [PMID: 38275692 PMCID: PMC10815122 DOI: 10.3390/foods13020325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/10/2024] [Accepted: 01/16/2024] [Indexed: 01/27/2024] Open
Abstract
A non-targeted metabolomics approach and sensory evaluation, coupled with multivariate statistical analysis, systematically uncover the impact of the rolling time on the quality parameters of black tea. GC-MS analysis reveals that a moderate extension of rolling time favorably contributes to the accumulation of characteristic aroma components in black tea. The volatile components reach their highest concentration in black tea samples processed during an 80-min rolling period. UHPLC-Q-TOF/MS analysis demonstrates a substantial decrease in the contents of catechins and flavonoids with an increase in rolling time. Simultaneously, the production of theaflavins, coupled with the degradation of green bitterness volatiles (GBVs), significantly contributes to the formation of endogenous aroma components in black tea. These findings underscore the close relationship between rolling time control and black tea quality, emphasizing that a moderate extension of the rolling time fosters the development of improved black tea flavor quality. The comprehensive quality evaluation indicates that the optimal duration is 80 min. However, the initial 0 to 20 min of rolling is a crucial phase for the genesis and transformation of black tea quality. This study offers valuable insights into the influence of rolling time on black tea quality, potentially enhancing future studies of rolling technology. It provides theoretical guidelines for optimizing the processing of Gongfu black tea.
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Affiliation(s)
- Shuya Yang
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China; (S.Y.); (S.P.); (D.Z.); (Y.C.); (B.N.); (D.N.)
| | - Sujan Pathak
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China; (S.Y.); (S.P.); (D.Z.); (Y.C.); (B.N.); (D.N.)
| | - Haiyan Tang
- School of Horticulture and Landscape Architecture, Hubei Vocational College of Bio-Technology, Wuhan 430070, China
| | - De Zhang
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China; (S.Y.); (S.P.); (D.Z.); (Y.C.); (B.N.); (D.N.)
| | - Yuqiong Chen
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China; (S.Y.); (S.P.); (D.Z.); (Y.C.); (B.N.); (D.N.)
| | - Bernard Ntezimana
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China; (S.Y.); (S.P.); (D.Z.); (Y.C.); (B.N.); (D.N.)
| | - Dejiang Ni
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China; (S.Y.); (S.P.); (D.Z.); (Y.C.); (B.N.); (D.N.)
| | - Zhi Yu
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China; (S.Y.); (S.P.); (D.Z.); (Y.C.); (B.N.); (D.N.)
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