Journal of Tea Science

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Research Advances of Fluoride Accumulation Mechanisms in Tea Plants (Camellia sinensis)

Research Progress of Tea Quality Evaluation Technology

Identification and Transcriptional Regulation of CLH Gene Family and Expression Analysis in Albino Tea Plants (Camellia sinensis)

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15 June 2022, Volume 42 Issue 3

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Review

Research Advances of Fluoride Accumulation Mechanisms in Tea Plants (Camellia sinensis)

XING Anqi, WU Zichen, XU Xiaohan, SUN Yi, WANG Gen...

2022, 42(3): 301-315. doi:10.13305/j.cnki.jts.20220416.003

Abstract ( 73 )   PDF (876KB) ( 88 )

Camellia sinensis (L.) O. Kuntze is a hyper fluoride (F) accumulation plant, whose F content in tea leaves is much higher than other plants, without any toxic symptoms. However, F is not an essential element for tea plant growth, and under high F stress, F affects the normal growth of plants by destroying the cell structure and inhibiting enzyme activities. In order to provide a theoretical basis for the future study of F accumulation in tea plants, the research progresses in the absorption, enrichment and accumulation/detoxification mechanisms of F in tea plants were reviewed.

Research Progress of Tea Quality Evaluation Technology

LIU Qi, OUYANG Jian, LIU Changwei, CHEN Hongyu, LI...

2022, 42(3): 316-330. doi:10.13305/j.cnki.jts.20220416.001

Abstract ( 75 )   PDF (812KB) ( 130 )

The quality of tea is the embodiment of the shape and inner quality of tea, and evaluating the quality of tea quickly and accurately is essential for tea trade and processing. Sensory evaluation, composition analysis and detection, and emerging technologies are the main tea quality evaluation techniques at present. This article summarized the research progress of three major evaluation technologies in recent years, and focused on the development trend of emerging technologies. Sensory evaluation is greatly influenced by subjective factors, but combined with quantitative description and analysis can reduce the influence of subjectivity. Component analysis detection has high threshold, difficult operation, time-consuming and labor-consuming, and the results obtained are relatively accurate. Emerging technologies are simple, fast, and non-destructive, but at present they cannot achieve satisfactory accuracy. In the tea product diversification today, only multi-dimensional comprehensive utilization of multiple methods can quickly and efficiently detect the quality of tea, and provide assistance for the healthy and efficient development of the tea industry.

Research Paper

Identification and Transcriptional Regulation of CLH Gene Family and Expression Analysis in Albino Tea Plants (Camellia sinensis)

WANG Tao, WANG Yiqing, QI Siyu, ZHOU Zhe, CHEN Zhi...

2022, 42(3): 331-346. doi:10.13305/j.cnki.jts.2022.03.003

Abstract ( 45 )   PDF (1540KB) ( 19 )

Chlorophyllase (CLH) is the key enzyme in the degradation of chlorophyll, stripping its phytol to form dephytolithochlorophyll a. The full-length cDNA sequences of three CsCLHs genes were obtained from the second leaves of albino tea cultivar ‘Baijiguan', and bioinformatics analysis was performed. The results show that the three CsCLH genes could be divided into two subfamilies. The full length of CsCLHs was 894-975 bp, encoding 297-324 amino acids. The protein molecular weights were 31.99-34.91 kDa. The isoelectric points were 4.89-7.61, and the instability coefficients were 38.94-48.24. CsCLH1.1 and CsCLH1.2 were unstable proteins, while CsCLH2 was a stable protein. The subcellular localization prediction results of Cell Ploc show that three CsCLH proteins were located in chloroplast, while the results of Wolf Psort show that CsCLH1.1 and CsCLH1.2 were located in cytoplasm and CsCLH2 was located in chloroplast. The qRT-PCR results on the ‘Baijiguan' leaves indicated that expressions of CsCLHs were inhibited by shading treatment and light induced CsCLHs' expressions. Expression pattern analysis of CsCLHs shows that CsCLH1s were highly expressed in the albino cultivars. In addition, it was identified that CsCDF5 could bind to the CsCLH1.1 and CsCLH2 promoters according to the yeast one hybrid system. In conclusion, CsCLHs in albino tea leaves might be involved in chlorophyll degradation and play an important role in the process of albino leaf, which provided a reference for further investigation in the function of the CLH gene family and the albinism of leaves in tea plants.

Functional Identification of CsbHLH024 and CsbHLH133 Transcription Factors in Tea Plants

LIU Renjian, WANG Yuyuan, LIU Shaoqun, SHU Canwei,...

2022, 42(3): 347-357. doi:10.13305/j.cnki.jts.2022.03.001

Abstract ( 41 )   PDF (1629KB) ( 12 )

Tea plant leaf trichomes contain various secondary metabolites and play an important role in the tea appearance quality as well as the response of tea plants to biotic and abiotic stresses. In this study, the function of leaf trichome-related genes CsbHLH024 and CsbHLH133 were analyzed using Bimolecular Fluorescent Complimentary (BiFC), GUS staining and overexpression experiments. The results show that CsbHLH024/CsbHLH133 and CsTTG1 could interact in plants, and their promoters could drive downstream gene expression in leaf tissues. They were further transformed into wild Arabidopsis thaliana (Col) and corresponding homozygous mutants, respectively to get overexpression lines. Both genes could affect the leaf trichome formation in Arabidopsis thaliana, restore the phenotype of the mutants, and induce the expression levels of trichome-related genes. This study provided a theoretical basis for further research on the molecular regulation mechanism of trichome formation in tea leaves.

The Control Efficiency of Afidopyropen to Tea Green Leafhoppers and Evaluation of Residue in Tea

GUO Mingming, LI Zhaoqun, LIU Yan, RAO Fuqiang, YU...

2022, 42(3): 358-366. doi:10.13305/j.cnki.jts.20220506.002

Abstract ( 42 )   PDF (505KB) ( 19 )

Afidopyropen is a novel biogenic insecticide derived from the natural fermentation product. This study aimed to evaluate the feasibility of afidopyropen for tea green leafhoppers (Empoasca onukii Matsuda) control and tea safety after the application of afidopyropen in tea garden. The dosage field trials and demonstration trials were conducted to evaluate the control efficiency of afidopyropen to tea green leafhoppers and the terminal residues in tea. The results of the dosage field trials in 2 locations show that 50 g·L^-1 afidopyropen dispersible concentrate was more effective against the green leafhoppers than chlorfenapyr which was commonly used pesticide for the green leafhoppers control. At the dosages of 15.00 g·hm^-2 and 22.50 g·hm^-2, control efficiencies were 88.6%-93.4% on the 1st day after treatment and 75.5%-85.5% on the 14th day, demonstrating a quick control effect and good persistence. At the dosage of 18.75 g·hm^-2 in 7 locations, the control efficiencies were 88.9%-100.0% on the 3rd day after treatment, and 60.2%-100.0% on the 14th day, which were better than the local commonly used pesticides. The terminal residues of afidopyropen in green tea ranged from 0.17-0.64 mg·kg^-1 on the 7th day after the application, the leaching rate of afidopyropen from dry tea to tea brew ranged from 17.1%-19.1% during the brewing process, and the risk quotient values were far less than 1, indicating a very low health risk caused by the afidopyropen intake through drinking tea. In conclusion, afidopyropen is suitable for resistance management and comprehensive management of tea green leafhoppers with the advantages of low dosage, high-efficiency and low-healthy risk for tea consumer.

The Antifungal Effect and Mechanism of Berberine on Different Colletotrichum Species Causing Tea Brown Blight Disease

ZHANG Zhipeng, CHENG Qinghua, XIE Jingkang, WAN Yu...

2022, 42(3): 367-375. doi:10.13305/j.cnki.jts.2022.03.006

Abstract ( 39 )   PDF (2110KB) ( 20 )

To explore the application prospects of berberine on the prevention and control of tea diseases, the antifungal activity of berberine against five different Colletotrichum species (C. fioriniae, C. karstii, C. chongqinggense, C. camelliae and C. gloeosporioides) were studied and the differences in antifungal activities were compared. The results show that berberine has the best inhibitory effect on both C. camelliae and C. chongqinggense, reaching 100% at the concentration of 12 mg·mL^-1, followed by C. gloeosporioides, C. karstii and C. fioriniae. The EC₅₀ (Concentration for 50% of maximal effect) of the five Colletotrichum species were 2.828, 3.288, 4.164, 4.778 mg·mL^-1 and 5.104 mg·mL^-1, respectively. The conidial and hyphal morphology of five Colletotrichum species under the treatment of berberine were examined, showing that berberine had a significant impact on the mycelial and conidial growth of five Colletotrichum species. With the increase of berberine concentration, part of hyphae expanded irregularly and the conidia grew abnormally. Results of the biological activity of Colletotrichum species show that the cell structure was damaged, the permeability of cell membrane was increased and the cell oxidative stress response was enhanced. Results of this study firstly confirm the antifungal activity and application prospects of berberine against Colletotrichum species, which provided a new approach and theoretical basis for the prevention and control of tea disease caused by Colletotrichum.

Research and Application of Intelligent Identification of Empoasca onukii Based on Machine Vision

BIAN Lei, HE Xudong, JI Huihua, CAI Xiaoming, LUO ...

2022, 42(3): 376-386. doi:10.13305/j.cnki.jts.20220506.001

Abstract ( 36 )   PDF (1047KB) ( 26 )

Deep learning has been widely used in intelligent identification in the progress of real-time monitoring of crop pests. Based on the identification model of tea leafhopper, Empoasca onukii, the application of deep learning in field leafhopper recognition was introduced to improve the precision of field population investigation of E. onukii. In this paper, a method of identification and count of E. onukii in tea garden was designed. Firstly, yellow sticky card was used to attract tea leafhoppers, and images of cards were collected by camera and uploaded to the web server. Then, target detection algorithm deployed by the server was used to identify and count the leafhoppers in the images. Through algorithm screening, YOLOv3 was determined as the recognition algorithm, and the improved soft-NMS was used to replace the original NMS. K-means clustering method was used to calculate the size of the new prior frame, so as to improve the speed and precision of YOLOv3. The results show that the average precision of the optimized algorithm could reach more than 95.35% comparing with the real number of leafhoppers on the sticky card. Therefore, the combination of the sticky card trapping, target recognition algorithm and internet of things technology could realize the real-time monitoring of population for E. onukii, which could provide a reference for other insects with color preference and integrated pest management in tea gardens.

Research on the Classification Method of Tea Buds Combining Improved Capsule Network and Knowledge Distillation

CHEN Xingran, HUANG Haisong, HAN Zhenggong, FAN Qi...

2022, 42(3): 387-396. doi:10.13305/j.cnki.jts.2022.03.002

Abstract ( 32 )   PDF (750KB) ( 10 )

The accurate classification of different grades of tea buds is very important for the development of the famous tea industry. The use of traditional sensory evaluation methods for sorting makes the results subjective. In this research, a data set was established after tea leaf images were collected, and a new network model, GA-CapsNet, was proposed by combining the ghost attention bottleneck and capsule network. The model was trained by the method of growing knowledge distillation based on the linear decay scaling coefficient, while migrating the parameter matrix of teacher model, the student model was adaptively reduced with iteration. The experimental result shows that, compared with other similar algorithms, the proposed method had excellent classification performance on small-scale data sets. The accuracy, recall and F1-score were 94.97%, 95.51% and 95.24%, respectively. Here, a GA-CapsNet model based on machine vision and deep learning technology was established, which provided a new idea for solving the tea leaf classification problem.

Characterization of the Key Aroma in Corn-scented Congou Black Tea Manufactured from Camellia nanchuanica by Sensory Omics Techniques

OUYANG Ke, ZHANG Cheng, LIAO Xueli, KUN Jirui, TON...

2022, 42(3): 397-408. doi:10.13305/j.cnki.jts.20220506.003

Abstract ( 44 )   PDF (1290KB) ( 18 )

Camellia nanchuanica is endemic to Nanchuan district, Chongqing and has a high development value. In this study, the characteristic aroma of corn-scented Congou black tea from Camellia nanchuanica was analyzed by headspace-solid phase microextraction, gas chromatography-mass spectrometry (HS-SPME-GC/MS), gas chromatography-olfactometry (GC-O), odor activity value (OAV) and aroma character impact value (ACI). The results show that 22 key aroma compounds with OAVs≥1 were identified in the corn-scented black tea. Dimethyl sulfide had the highest OAV (1 187.32), and its ACI was 51.56%. A total of 26 odor-active compounds were perceived by GC-O. Dimethyl sulfide had a higher olfactory intensity, which had a “corn-like” odor. The results obtained by the OAV approaches and by GC-O method for key aroma identification were in good agreement. The importance of dimethyl sulfide in corn-scented black tea was verified by aroma recombination and omission test. Focusing on the analysis of the active aromas of corn-scented black tea would provide a theoretical basis for the quality control of this prized tea.

Development of Amplitude Adjustable Imitation Manual Rocking Green Device for Oolong Tea and Research of Process Parameters

BIAN Xianbing, WU Min, JIA Jiangming, DONG Chunwan...

2022, 42(3): 409-422. doi:10.13305/j.cnki.jts.2022.03.005

Abstract ( 37 )   PDF (1967KB) ( 30 )

To better promote the large-scale standardized processing of oolong tea, improve the rocking green quality and machinery efficiency, and extend the application scope of equipment, an amplitude adjustable imitation manual rocking green device and a single input multi output power transmission mechanism were designed. The kinematics analysis model of the amplitude adjustable rocking green mechanism was established, and the spatial motion trajectory of the spherical screen was simulated by MATLAB. On this basis, a rocking green prototype was developed to carry out the multi index orthogonal test of 2 factors and 4 levels of the rocking green. Then, the multi index was transformed into a single index by comprehensive scoring method, and the best process parameters were btained by the orthogonal test analysis. Under the optimal process parameters, the moderate rate of oolong tea rocking green was 84.10%, the water loss rate was 33.63%, and the comprehensive score was 97.75% of the traditional manual rocking green. The experimental results show that the developed amplitude adjustable imitation manual rocking green mechanism is effective. On the basis of matching the relevant process parameters, it can be applied to the large-scale mechanical rocking green of fresh leaves in different tenderness and seasons. Meanwhile, it also provided a new reference method for the research of relevant process parameters in the field of tea processing.

Econometric Analyses of EGCG Research Literature

ZHANG Yini, JI Zheng

2022, 42(3): 423-434. doi:10.13305/j.cnki.jts.20220416.002

Abstract ( 44 )   PDF (1309KB) ( 39 )

The epigallocatechin gallate (EGCG) has shown the highest biological activity in tea components in most studies, which has shown beneficial effects on anti-cancer, bacterial and viral infections. A review of the advances and hot spots of EGCG studies were summarized through citation analysis. In order to ensure that the review is objective and scientific, literature analysis was performed from the core collection of the data base of ISI Web of Science of the period of 2000-2021 with the key words “EGCG” and “Epigallocatechin gallate”. A total of 6 799 relevant papers were obtained. Then, the CiteSpace visualization software was used for citation analysis and the research hotspots and frontier trends were studied through network analysis including cooperation, co-occurrence and co-citation. Statistical analysis of volume of the publications shows that China, United States and Japan ranked the top three in this field. Analysis of betweenness central indicators shows that United States, Germany and China were the top three in terms of importance. Further citation analysis shows that “nanoparticle”, and “stability” were the hotspots in the recent years. With the deepening of the research on EGCG, it was speculated that the future research would focus on improving the bioavailability of EGCG and exploring the optimal dose level and administration frequency.

Study on the Preference of Large Yellow Tea Based on Consumers with Different Ages

AN Qi, QIU Tong, ZHANG Ying, XIAO Mingji, CHEN Ain...

2022, 42(3): 435-446. doi:10.13305/j.cnki.jts.2022.03.004

Abstract ( 41 )   PDF (3196KB) ( 21 )

In this paper, 9-point hedonic scale and 5-point just about right were used to test the preference of large yellow tea and evaluate the acceptance of sensory attributes among consumers with different ages. The results show that young and middle-aged consumers prefer low-roasted and high-tenderness large yellow tea with sweet and mellow flavors while older consumers prefer high-roasted and low-tenderness large yellow tea with the burnt, bitter and paste flavors. Combined the JAR data with the preference data through penalty analysis, the most influential attributes, the direction of attribute optimization and the order of improvement priority were qualitatively obtained from the three age groups, which was of certain reference to design and process large yellow tea products.

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Camellia Ptilophylla and Specific Chemical Components, Theirs Health Beneficial Effects

WU Wenliang, TONG Tong, HU Yao, ZHOU Hao, YIN Xia, ZHANG Shuguang

Journal of Tea Science. 2021 Vol. 41 (5): 593-607
doi: 10.13305/j.cnki.jts.20210917.002

Abstract( 444 )

PDF (1145KB) (313)

Thinking on the Taxonomy of Camellia sect. Thea

YANG Shixiong

Journal of Tea Science. 2021 Vol. 41 (4): 439-453
doi: 10.13305/j.cnki.jts.2021.04.001

Abstract( 331 )

PDF (863KB) (212)

Analysis on the Achievements of Tea Science and Technology Awards at Provincial and Ministerial Level and above in China from 2008 to 2019

XIONG Xingping, ZHANG Xinzhong, LI Hongbin, SUN Liang, YAO Mingzhe

Journal of Tea Science. 2021 Vol. 41 (5): 608-618
doi: 10.13305/j.cnki.jts.20210917.001

Abstract( 308 )

PDF (1013KB) (209)

Analysis of the Metabolism of Amino Acids during the Withering of White Tea

CHEN Jiajia, ZHU Chensong, ZHU Wenwei, SHANG Hu, LIN Lin, LUO Yuqin, SUN Weijiang

Journal of Tea Science. 2021 Vol. 41 (4): 471-481
doi: 10.13305/j.cnki.jts.2021.04.003

Abstract( 303 )

PDF (1554KB) (156)

Sensory Characteristics of Yellow Large Leaf Tea by Quantitative Descriptive Analysis and Construction of Flavor Wheel

DAI Qianying, YE Yingjun, AN Qi, ZHENG Fangling, XIAO Mingji, XIAO Mengxuan, WANG Huiqiang, ZHANG Haiwei

Journal of Tea Science. 2021 Vol. 41 (4): 535-544
doi: 10.13305/j.cnki.jts.2021.04.007

Abstract( 247 )

PDF (1993KB) (152)

Study on Primitive Morpheme in Sensory Terminology and Flavor Wheel Construction of Chinese Tea

ZHANG Yingbin, LIU Xu, LU Chengyin

Journal of Tea Science. 2019 Vol. 39 (4): 474-483 doi: 10.13305/j.cnki.jts.20190530.001

Abstract （1620）

PDF （891KB）（878）

Research Progress on Chemical Composition and Biological Activity of Liupao Tea

MA Wanjun, MA Shicheng, LIU Chunmei, LONG Zhirong, TANG Baojun, LIN Zhi, LYU Haipeng

Journal of Tea Science. 2020 Vol. 40 (3): 289-304 doi: 10.13305/j.cnki.jts.2020.03.001

Abstract （939）

PDF （1369KB）（791）

Analysis on Development Scale ofChineseTea Industry in 2020

JIANG Yong-wen, CHEN Xiao-xiong, ZHU Jian-miao, YANG Shuang-xu

Journal of Tea Science. 2011 Vol. 31 (3): 273-282 doi: 10.13305/j.cnki.jts.2011.03.013

Abstract （372）

PDF （374KB）（790）

Leaching Pattern of Internal Substances and Xenobiotic Pollutants during Tea Brewing

CHEN Hongping, LIU Xin, LU Chengyin, QIU Jing

Journal of Tea Science. 2020 Vol. 40 (1): 63-76 doi: 10.13305/j.cnki.jts.20200117.008

Abstract （740）

PDF （497KB）（708）

Research Progress of Cellulase and Pectinase in the Extraction of Tea Leaves

GONG Yu-lei, WEI Chun, WANG Zhi-biao, SHEN Xue-liang

Journal of Tea Science. 2013 Vol. 33 (4): 311-321 doi: 10.13305/j.cnki.jts.2013.04.004

Abstract （384）

PDF （1179KB）（655）

Organic Carbon and Total Nitrogen Distribution in Aggregates from Yellow-red Soils Under Tea Plantations with Different Fertilizer Managements

WANG Limin, HUANG Dongfeng, LI Qinghua, HE Chunmei, ZHANG Hui, LIU Cailing, LI Fangliang, HUANG Yibin

Journal of Tea Science. 2018 Vol. 38 (4): 342-352 doi: 10.13305/j.cnki.jts.2018.04.002

Abstract （318）

PDF （819KB）（603）

Analysis of the Tea Projects Supported by National Natural Science Foundation of China from 1999 to 2019

XIONG Xingping, ZHANG Xinzhong, YANG Zhenwei

Journal of Tea Science. 2020 Vol. 40 (3): 305-318 doi: 10.13305/j.cnki.jts.2020.03.002

Abstract （829）

PDF （380KB）（531）

Sensory Characteristics of Tea Polyphenols and It’s Effects on Astringency of Tea

TONG Hua-rong, JIN Xiao-fang, GONG Xue-lian

Journal of Tea Science. 2006 Vol. 26 (2): 79-86 doi: 10.13305/j.cnki.jts.2006.02.001

Abstract （347）

PDF （483KB）（512）

Journal of Tea Science. 2002 Vol. 22 (01): 7-13+29 doi: 10.13305/j.cnki.jts.2002.01.002

Abstract （195）

PDF （66KB）（502）

Identification and Expression Analysis of Terpene Synthesis Related Genes during the Withering of White Tea

CHEN Xuejin, WANG Pengjie, LIN Xinying, GU Mengya, ZHENG Yucheng, ZHENG Zhilin, YE Naixing

Journal of Tea Science. 2020 Vol. 40 (3): 363-374 doi: 10.13305/j.cnki.jts.2020.03.007

Abstract （474）

PDF （1459KB）（473）

Transcriptome Analysis of the Tea Leaves (Camellia sinensis var. assamica) Infected by Tea Blister Blight

SUN Yunnan, XU Yan, RAN Longxun, JIANG Huibing, SONG Weixi, XIA Lifei, CHEN Linbo, LIANG Mingzhi

Journal of Tea Science. 2020 Vol. 40 (1): 113-124 doi: 10.13305/j.cnki.jts.2020.01.001

Abstract （395）

PDF （798KB）（465）

Research Progress of Tea Aroma Based on CiteSpace Visual Analysis

YIN Xia, HUANG Jian'an, HUANG Jing, BAO Xiaocun, ZHOU Lingyun, LI Wei, LIU Hongyan, ZHANG Shuguang, LIU Zhonghua

Journal of Tea Science. 2020 Vol. 40 (2): 143-156 doi: 10.13305/j.cnki.jts.2020.02.001

Abstract （694）

PDF （1249KB）（462）

Effects of Polyphenols of Old Fu Brick Tea on the Elderly Intestinal Flora

WU Genliang, HOU Aixiang, LI Ke, LI Zongjun

Journal of Tea Science. 2018 Vol. 38 (3): 319-330 doi: 10.13305/j.cnki.jts.2018.03.013

Abstract （329）

PDF （1529KB）（450）

Integrated Nutrient Management in Tea Plantation to Reduce Chemical Fertilizer and Increase Nutrient Use Efficiency

RUAN Jianyun, MA Lifeng, YI Xiaoyun, SHI Yuanzhi, NI Kang, LIU Meiya, ZHANG Qunfeng

Journal of Tea Science. 2020 Vol. 40 (1): 85-95 doi: 10.13305/j.cnki.jts.20200117.003

Abstract （846）

PDF （1210KB）（447）

Research on Main Physical Properties of Tea Leaves in High-quality Green Tea Processing

LI Chen, AI Zeyi, YU Zhi, CHEN Yuqiong, NI Dejiang

Journal of Tea Science. 2019 Vol. 39 (6): 705-714 doi: 10.13305/j.cnki.jts.2019.06.009

Abstract （505）

PDF （580KB）（441）

Study on Chemistry and Bioactivities of Tea Polysaccharides

XU Zhong-xi, WANG Kun-bo

Journal of Tea Science. 2004 Vol. 24 (2): 75-81 doi: 10.13305/j.cnki.jts.2004.02.001

Abstract （213）

PDF （280KB）（441）

A Review on the Regulation Technique of Withering Process and the Change in Physical and Chemical Properties of Leaves

HUA Jin-jie, YUAN Hai-bo, JIANG Yong-wen, LIU Ping, WANG Wei-wei

Journal of Tea Science. 2013 Vol. 33 (5): 465-472 doi: 10.13305/j.cnki.jts.2013.05.005

Abstract （338）

PDF （569KB）（440）

Research Progress of Near-infrared Spectroscopy in Tea Quality Control and Equipment Development

REN Guangxin, JIN Shanshan, LI Luqing, NING Jingming, ZHANG Zhengzhu

Journal of Tea Science. 2020 Vol. 40 (6): 707-714 doi: 10.13305/j.cnki.jts.2020.06.001

Abstract （658）

PDF （1236KB）（431）

Study on the Changes of Physical and Chemical Components during the Frying Process of Green Tea by Computer Vision

WU Xun, LIU Fei, CHEN Zhiwei, WANG Yuwan, CHEN Lin, TU Zheng, ZHOU Xiaofen, YANG Yunfei, YE Yang, TONG Huarong

Journal of Tea Science. 2020 Vol. 40 (2): 194-204 doi: 10.13305/j.cnki.jts.2020.02.006

Abstract （410）

PDF （965KB）（428）

Dynamics of Scent Type and Aroma Components of Wuyi Dahongpao during the Preliminary Processing

WANG Fang, ZHANG Jianming, LI Bo, CHEN Baiwen, LIU Baoshun, ZHAN Shiquan, LIU Shizhang

Journal of Tea Science. 2019 Vol. 39 (4): 455-463 doi: 10.13305/j.cnki.jts.2019.04.011

Abstract （516）

PDF （458KB）（420）

»	Evaluation of Genetic Diversity in Oolong Tea Germplasms by AFLP Fingerprinting
	HUANG Fu-ping, LIANG Yue-rong, LU Jian-liang, CHEN Rong-bing, Mamati G. E., SUN Qing-lei
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	Journal of Tea Science. 2007 Vol. 27 (3): 201-210
	Cited by: Baidu(71)

»	Construction of AFLP Molecular Markers Linkage Map in Tea Plant
	HUANG Jian-an, LI Jia-xian, HUANG Yi-huan, LUO Jun-wu,GONG Zhi-hua, LIU Zhong-hua
	Journal of Tea Science. 2005 Vol. 25 (1): 7-15
	Cited by: Baidu(68)

»	Research Progress on Resistance Breeding of Tea Plant
	WANG Xin-chao，YANG Ya-jun
	Journal of Tea Science. 2003 Vol. 23 (2): 94-98
	Cited by: Baidu(62)

Basic Information

Journal title: Journal of Tea science
Inscription of journal title: ZHU De
Responsible Institution: China Association for Science and Technology
Sponsored by：China Tea Science Society and Tea Research Institute, Chinese Academy of Agricultural Science
Editing and Publishing: Editorial Office, Journal of Tea science
Start time: 1964
Publication frequency： Bi-monthly

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Research Advances of Fluoride Accumulation Mechanisms in Tea Plants (Camellia sinensis)

Research Progress of Tea Quality Evaluation Technology

Identification and Transcriptional Regulation of CLH Gene Family and Expression Analysis in Albino Tea Plants (Camellia sinensis)

15 June 2022, Volume 42 Issue 3

Previous Issue

Review

Research Advances of Fluoride Accumulation Mechanisms in Tea Plants (Camellia sinensis)

XING Anqi, WU Zichen, XU Xiaohan, SUN Yi, WANG Gen...

2022, 42(3): 301-315. doi:10.13305/j.cnki.jts.20220416.003

Abstract ( 73 )   PDF (876KB) ( 88 )

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XING Anqi, WU Zichen, XU Xiaohan, SUN Yi, WANG Genmei, WANG Yuhua. Research Advances of Fluoride Accumulation Mechanisms in Tea Plants (Camellia sinensis)[J]. Journal of Tea Science, 2022, 42(3): 301-315.
   doi:10.13305/j.cnki.jts.20220416.003

Camellia sinensis (L.) O. Kuntze is a hyper fluoride (F) accumulation plant, whose F content in tea leaves is much higher than other plants, without any toxic symptoms. However, F is not an essential element for tea plant growth, and under high F stress, F affects the normal growth of plants by destroying the cell structure and inhibiting enzyme activities. In order to provide a theoretical basis for the future study of F accumulation in tea plants, the research progresses in the absorption, enrichment and accumulation/detoxification mechanisms of F in tea plants were reviewed.

Research Progress of Tea Quality Evaluation Technology

LIU Qi, OUYANG Jian, LIU Changwei, CHEN Hongyu, LI...

2022, 42(3): 316-330. doi:10.13305/j.cnki.jts.20220416.001

Abstract ( 75 )   PDF (812KB) ( 130 )

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LIU Qi, OUYANG Jian, LIU Changwei, CHEN Hongyu, LI Juan, XIONG Ligui, LIU Zhonghua, HUANG Jian'an. Research Progress of Tea Quality Evaluation Technology[J]. Journal of Tea Science, 2022, 42(3): 316-330.
   doi:10.13305/j.cnki.jts.20220416.001

The quality of tea is the embodiment of the shape and inner quality of tea, and evaluating the quality of tea quickly and accurately is essential for tea trade and processing. Sensory evaluation, composition analysis and detection, and emerging technologies are the main tea quality evaluation techniques at present. This article summarized the research progress of three major evaluation technologies in recent years, and focused on the development trend of emerging technologies. Sensory evaluation is greatly influenced by subjective factors, but combined with quantitative description and analysis can reduce the influence of subjectivity. Component analysis detection has high threshold, difficult operation, time-consuming and labor-consuming, and the results obtained are relatively accurate. Emerging technologies are simple, fast, and non-destructive, but at present they cannot achieve satisfactory accuracy. In the tea product diversification today, only multi-dimensional comprehensive utilization of multiple methods can quickly and efficiently detect the quality of tea, and provide assistance for the healthy and efficient development of the tea industry.

Research Paper

Identification and Transcriptional Regulation of CLH Gene Family and Expression Analysis in Albino Tea Plants (Camellia sinensis)

WANG Tao, WANG Yiqing, QI Siyu, ZHOU Zhe, CHEN Zhi...

2022, 42(3): 331-346. doi:10.13305/j.cnki.jts.2022.03.003

Abstract ( 45 )   PDF (1540KB) ( 19 )

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WANG Tao, WANG Yiqing, QI Siyu, ZHOU Zhe, CHEN Zhidan, SUN Weijiang. Identification and Transcriptional Regulation of CLH Gene Family and Expression Analysis in Albino Tea Plants (Camellia sinensis)[J]. Journal of Tea Science, 2022, 42(3): 331-346.
   doi:10.13305/j.cnki.jts.2022.03.003

Chlorophyllase (CLH) is the key enzyme in the degradation of chlorophyll, stripping its phytol to form dephytolithochlorophyll a. The full-length cDNA sequences of three CsCLHs genes were obtained from the second leaves of albino tea cultivar ‘Baijiguan', and bioinformatics analysis was performed. The results show that the three CsCLH genes could be divided into two subfamilies. The full length of CsCLHs was 894-975 bp, encoding 297-324 amino acids. The protein molecular weights were 31.99-34.91 kDa. The isoelectric points were 4.89-7.61, and the instability coefficients were 38.94-48.24. CsCLH1.1 and CsCLH1.2 were unstable proteins, while CsCLH2 was a stable protein. The subcellular localization prediction results of Cell Ploc show that three CsCLH proteins were located in chloroplast, while the results of Wolf Psort show that CsCLH1.1 and CsCLH1.2 were located in cytoplasm and CsCLH2 was located in chloroplast. The qRT-PCR results on the ‘Baijiguan' leaves indicated that expressions of CsCLHs were inhibited by shading treatment and light induced CsCLHs' expressions. Expression pattern analysis of CsCLHs shows that CsCLH1s were highly expressed in the albino cultivars. In addition, it was identified that CsCDF5 could bind to the CsCLH1.1 and CsCLH2 promoters according to the yeast one hybrid system. In conclusion, CsCLHs in albino tea leaves might be involved in chlorophyll degradation and play an important role in the process of albino leaf, which provided a reference for further investigation in the function of the CLH gene family and the albinism of leaves in tea plants.

Functional Identification of CsbHLH024 and CsbHLH133 Transcription Factors in Tea Plants

LIU Renjian, WANG Yuyuan, LIU Shaoqun, SHU Canwei,...

2022, 42(3): 347-357. doi:10.13305/j.cnki.jts.2022.03.001

Abstract ( 41 )   PDF (1629KB) ( 12 )

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LIU Renjian, WANG Yuyuan, LIU Shaoqun, SHU Canwei, SUN Binmei, ZHENG Peng. Functional Identification of CsbHLH024 and CsbHLH133 Transcription Factors in Tea Plants[J]. Journal of Tea Science, 2022, 42(3): 347-357.
   doi:10.13305/j.cnki.jts.2022.03.001

Tea plant leaf trichomes contain various secondary metabolites and play an important role in the tea appearance quality as well as the response of tea plants to biotic and abiotic stresses. In this study, the function of leaf trichome-related genes CsbHLH024 and CsbHLH133 were analyzed using Bimolecular Fluorescent Complimentary (BiFC), GUS staining and overexpression experiments. The results show that CsbHLH024/CsbHLH133 and CsTTG1 could interact in plants, and their promoters could drive downstream gene expression in leaf tissues. They were further transformed into wild Arabidopsis thaliana (Col) and corresponding homozygous mutants, respectively to get overexpression lines. Both genes could affect the leaf trichome formation in Arabidopsis thaliana, restore the phenotype of the mutants, and induce the expression levels of trichome-related genes. This study provided a theoretical basis for further research on the molecular regulation mechanism of trichome formation in tea leaves.

The Control Efficiency of Afidopyropen to Tea Green Leafhoppers and Evaluation of Residue in Tea

GUO Mingming, LI Zhaoqun, LIU Yan, RAO Fuqiang, YU...

2022, 42(3): 358-366. doi:10.13305/j.cnki.jts.20220506.002

Abstract ( 42 )   PDF (505KB) ( 19 )

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GUO Mingming, LI Zhaoqun, LIU Yan, RAO Fuqiang, YU Jiawei, WU Luchao, ZHOU Li, CHEN Zongmao. The Control Efficiency of Afidopyropen to Tea Green Leafhoppers and Evaluation of Residue in Tea[J]. Journal of Tea Science, 2022, 42(3): 358-366.
   doi:10.13305/j.cnki.jts.20220506.002

Afidopyropen is a novel biogenic insecticide derived from the natural fermentation product. This study aimed to evaluate the feasibility of afidopyropen for tea green leafhoppers (Empoasca onukii Matsuda) control and tea safety after the application of afidopyropen in tea garden. The dosage field trials and demonstration trials were conducted to evaluate the control efficiency of afidopyropen to tea green leafhoppers and the terminal residues in tea. The results of the dosage field trials in 2 locations show that 50 g·L^-1 afidopyropen dispersible concentrate was more effective against the green leafhoppers than chlorfenapyr which was commonly used pesticide for the green leafhoppers control. At the dosages of 15.00 g·hm^-2 and 22.50 g·hm^-2, control efficiencies were 88.6%-93.4% on the 1st day after treatment and 75.5%-85.5% on the 14th day, demonstrating a quick control effect and good persistence. At the dosage of 18.75 g·hm^-2 in 7 locations, the control efficiencies were 88.9%-100.0% on the 3rd day after treatment, and 60.2%-100.0% on the 14th day, which were better than the local commonly used pesticides. The terminal residues of afidopyropen in green tea ranged from 0.17-0.64 mg·kg^-1 on the 7th day after the application, the leaching rate of afidopyropen from dry tea to tea brew ranged from 17.1%-19.1% during the brewing process, and the risk quotient values were far less than 1, indicating a very low health risk caused by the afidopyropen intake through drinking tea. In conclusion, afidopyropen is suitable for resistance management and comprehensive management of tea green leafhoppers with the advantages of low dosage, high-efficiency and low-healthy risk for tea consumer.

The Antifungal Effect and Mechanism of Berberine on Different Colletotrichum Species Causing Tea Brown Blight Disease

ZHANG Zhipeng, CHENG Qinghua, XIE Jingkang, WAN Yu...

2022, 42(3): 367-375. doi:10.13305/j.cnki.jts.2022.03.006

Abstract ( 39 )   PDF (2110KB) ( 20 )

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ZHANG Zhipeng, CHENG Qinghua, XIE Jingkang, WAN Yuhe, TONG Huarong, CHEN Yingjuan. The Antifungal Effect and Mechanism of Berberine on Different Colletotrichum Species Causing Tea Brown Blight Disease[J]. Journal of Tea Science, 2022, 42(3): 367-375.
   doi:10.13305/j.cnki.jts.2022.03.006

To explore the application prospects of berberine on the prevention and control of tea diseases, the antifungal activity of berberine against five different Colletotrichum species (C. fioriniae, C. karstii, C. chongqinggense, C. camelliae and C. gloeosporioides) were studied and the differences in antifungal activities were compared. The results show that berberine has the best inhibitory effect on both C. camelliae and C. chongqinggense, reaching 100% at the concentration of 12 mg·mL^-1, followed by C. gloeosporioides, C. karstii and C. fioriniae. The EC₅₀ (Concentration for 50% of maximal effect) of the five Colletotrichum species were 2.828, 3.288, 4.164, 4.778 mg·mL^-1 and 5.104 mg·mL^-1, respectively. The conidial and hyphal morphology of five Colletotrichum species under the treatment of berberine were examined, showing that berberine had a significant impact on the mycelial and conidial growth of five Colletotrichum species. With the increase of berberine concentration, part of hyphae expanded irregularly and the conidia grew abnormally. Results of the biological activity of Colletotrichum species show that the cell structure was damaged, the permeability of cell membrane was increased and the cell oxidative stress response was enhanced. Results of this study firstly confirm the antifungal activity and application prospects of berberine against Colletotrichum species, which provided a new approach and theoretical basis for the prevention and control of tea disease caused by Colletotrichum.

Research and Application of Intelligent Identification of Empoasca onukii Based on Machine Vision

BIAN Lei, HE Xudong, JI Huihua, CAI Xiaoming, LUO ...

2022, 42(3): 376-386. doi:10.13305/j.cnki.jts.20220506.001

Abstract ( 36 )   PDF (1047KB) ( 26 )

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BIAN Lei, HE Xudong, JI Huihua, CAI Xiaoming, LUO Zongxiu, CHEN Huacai, CHEN Zongmao. Research and Application of Intelligent Identification of Empoasca onukii Based on Machine Vision[J]. Journal of Tea Science, 2022, 42(3): 376-386.
   doi:10.13305/j.cnki.jts.20220506.001

Deep learning has been widely used in intelligent identification in the progress of real-time monitoring of crop pests. Based on the identification model of tea leafhopper, Empoasca onukii, the application of deep learning in field leafhopper recognition was introduced to improve the precision of field population investigation of E. onukii. In this paper, a method of identification and count of E. onukii in tea garden was designed. Firstly, yellow sticky card was used to attract tea leafhoppers, and images of cards were collected by camera and uploaded to the web server. Then, target detection algorithm deployed by the server was used to identify and count the leafhoppers in the images. Through algorithm screening, YOLOv3 was determined as the recognition algorithm, and the improved soft-NMS was used to replace the original NMS. K-means clustering method was used to calculate the size of the new prior frame, so as to improve the speed and precision of YOLOv3. The results show that the average precision of the optimized algorithm could reach more than 95.35% comparing with the real number of leafhoppers on the sticky card. Therefore, the combination of the sticky card trapping, target recognition algorithm and internet of things technology could realize the real-time monitoring of population for E. onukii, which could provide a reference for other insects with color preference and integrated pest management in tea gardens.

Research on the Classification Method of Tea Buds Combining Improved Capsule Network and Knowledge Distillation

CHEN Xingran, HUANG Haisong, HAN Zhenggong, FAN Qi...

2022, 42(3): 387-396. doi:10.13305/j.cnki.jts.2022.03.002

Abstract ( 32 )   PDF (750KB) ( 10 )

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CHEN Xingran, HUANG Haisong, HAN Zhenggong, FAN Qingsong, ZHU Yunwei, HU Pengfei. Research on the Classification Method of Tea Buds Combining Improved Capsule Network and Knowledge Distillation[J]. Journal of Tea Science, 2022, 42(3): 387-396.
   doi:10.13305/j.cnki.jts.2022.03.002

The accurate classification of different grades of tea buds is very important for the development of the famous tea industry. The use of traditional sensory evaluation methods for sorting makes the results subjective. In this research, a data set was established after tea leaf images were collected, and a new network model, GA-CapsNet, was proposed by combining the ghost attention bottleneck and capsule network. The model was trained by the method of growing knowledge distillation based on the linear decay scaling coefficient, while migrating the parameter matrix of teacher model, the student model was adaptively reduced with iteration. The experimental result shows that, compared with other similar algorithms, the proposed method had excellent classification performance on small-scale data sets. The accuracy, recall and F1-score were 94.97%, 95.51% and 95.24%, respectively. Here, a GA-CapsNet model based on machine vision and deep learning technology was established, which provided a new idea for solving the tea leaf classification problem.

Characterization of the Key Aroma in Corn-scented Congou Black Tea Manufactured from Camellia nanchuanica by Sensory Omics Techniques

OUYANG Ke, ZHANG Cheng, LIAO Xueli, KUN Jirui, TON...

2022, 42(3): 397-408. doi:10.13305/j.cnki.jts.20220506.003

Abstract ( 44 )   PDF (1290KB) ( 18 )

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OUYANG Ke, ZHANG Cheng, LIAO Xueli, KUN Jirui, TONG Huarong. Characterization of the Key Aroma in Corn-scented Congou Black Tea Manufactured from Camellia nanchuanica by Sensory Omics Techniques[J]. Journal of Tea Science, 2022, 42(3): 397-408.
   doi:10.13305/j.cnki.jts.20220506.003

Camellia nanchuanica is endemic to Nanchuan district, Chongqing and has a high development value. In this study, the characteristic aroma of corn-scented Congou black tea from Camellia nanchuanica was analyzed by headspace-solid phase microextraction, gas chromatography-mass spectrometry (HS-SPME-GC/MS), gas chromatography-olfactometry (GC-O), odor activity value (OAV) and aroma character impact value (ACI). The results show that 22 key aroma compounds with OAVs≥1 were identified in the corn-scented black tea. Dimethyl sulfide had the highest OAV (1 187.32), and its ACI was 51.56%. A total of 26 odor-active compounds were perceived by GC-O. Dimethyl sulfide had a higher olfactory intensity, which had a “corn-like” odor. The results obtained by the OAV approaches and by GC-O method for key aroma identification were in good agreement. The importance of dimethyl sulfide in corn-scented black tea was verified by aroma recombination and omission test. Focusing on the analysis of the active aromas of corn-scented black tea would provide a theoretical basis for the quality control of this prized tea.

Development of Amplitude Adjustable Imitation Manual Rocking Green Device for Oolong Tea and Research of Process Parameters

BIAN Xianbing, WU Min, JIA Jiangming, DONG Chunwan...

2022, 42(3): 409-422. doi:10.13305/j.cnki.jts.2022.03.005

Abstract ( 37 )   PDF (1967KB) ( 30 )

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BIAN Xianbing, WU Min, JIA Jiangming, DONG Chunwang, ZHANG Chen'an, ZHAO Runmao, CHEN Jianneng, WANG Jinshuang. Development of Amplitude Adjustable Imitation Manual Rocking Green Device for Oolong Tea and Research of Process Parameters[J]. Journal of Tea Science, 2022, 42(3): 409-422.
   doi:10.13305/j.cnki.jts.2022.03.005

To better promote the large-scale standardized processing of oolong tea, improve the rocking green quality and machinery efficiency, and extend the application scope of equipment, an amplitude adjustable imitation manual rocking green device and a single input multi output power transmission mechanism were designed. The kinematics analysis model of the amplitude adjustable rocking green mechanism was established, and the spatial motion trajectory of the spherical screen was simulated by MATLAB. On this basis, a rocking green prototype was developed to carry out the multi index orthogonal test of 2 factors and 4 levels of the rocking green. Then, the multi index was transformed into a single index by comprehensive scoring method, and the best process parameters were btained by the orthogonal test analysis. Under the optimal process parameters, the moderate rate of oolong tea rocking green was 84.10%, the water loss rate was 33.63%, and the comprehensive score was 97.75% of the traditional manual rocking green. The experimental results show that the developed amplitude adjustable imitation manual rocking green mechanism is effective. On the basis of matching the relevant process parameters, it can be applied to the large-scale mechanical rocking green of fresh leaves in different tenderness and seasons. Meanwhile, it also provided a new reference method for the research of relevant process parameters in the field of tea processing.

Econometric Analyses of EGCG Research Literature

ZHANG Yini, JI Zheng

2022, 42(3): 423-434. doi:10.13305/j.cnki.jts.20220416.002

Abstract ( 44 )   PDF (1309KB) ( 39 )

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ZHANG Yini, JI Zheng. Econometric Analyses of EGCG Research Literature[J]. Journal of Tea Science, 2022, 42(3): 423-434.
   doi:10.13305/j.cnki.jts.20220416.002

The epigallocatechin gallate (EGCG) has shown the highest biological activity in tea components in most studies, which has shown beneficial effects on anti-cancer, bacterial and viral infections. A review of the advances and hot spots of EGCG studies were summarized through citation analysis. In order to ensure that the review is objective and scientific, literature analysis was performed from the core collection of the data base of ISI Web of Science of the period of 2000-2021 with the key words “EGCG” and “Epigallocatechin gallate”. A total of 6 799 relevant papers were obtained. Then, the CiteSpace visualization software was used for citation analysis and the research hotspots and frontier trends were studied through network analysis including cooperation, co-occurrence and co-citation. Statistical analysis of volume of the publications shows that China, United States and Japan ranked the top three in this field. Analysis of betweenness central indicators shows that United States, Germany and China were the top three in terms of importance. Further citation analysis shows that “nanoparticle”, and “stability” were the hotspots in the recent years. With the deepening of the research on EGCG, it was speculated that the future research would focus on improving the bioavailability of EGCG and exploring the optimal dose level and administration frequency.

Study on the Preference of Large Yellow Tea Based on Consumers with Different Ages

AN Qi, QIU Tong, ZHANG Ying, XIAO Mingji, CHEN Ain...

2022, 42(3): 435-446. doi:10.13305/j.cnki.jts.2022.03.004

Abstract ( 41 )   PDF (3196KB) ( 21 )

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AN Qi, QIU Tong, ZHANG Ying, XIAO Mingji, CHEN Aini, SHENG Caiyan, DAI Qianying. Study on the Preference of Large Yellow Tea Based on Consumers with Different Ages[J]. Journal of Tea Science, 2022, 42(3): 435-446.
   doi:10.13305/j.cnki.jts.2022.03.004

In this paper, 9-point hedonic scale and 5-point just about right were used to test the preference of large yellow tea and evaluate the acceptance of sensory attributes among consumers with different ages. The results show that young and middle-aged consumers prefer low-roasted and high-tenderness large yellow tea with sweet and mellow flavors while older consumers prefer high-roasted and low-tenderness large yellow tea with the burnt, bitter and paste flavors. Combined the JAR data with the preference data through penalty analysis, the most influential attributes, the direction of attribute optimization and the order of improvement priority were qualitatively obtained from the three age groups, which was of certain reference to design and process large yellow tea products.

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Camellia Ptilophylla and Specific Chemical Components, Theirs Health Beneficial Effects

WU Wenliang, TONG Tong, HU Yao, ZHOU Hao, YIN Xia, ZHANG Shuguang

Journal of Tea Science. 2021 Vol. 41 (5): 593-607
doi: 10.13305/j.cnki.jts.20210917.002

Abstract( 444 )

PDF (1145KB) (313)

Thinking on the Taxonomy of Camellia sect. Thea

YANG Shixiong

Journal of Tea Science. 2021 Vol. 41 (4): 439-453
doi: 10.13305/j.cnki.jts.2021.04.001

Abstract( 331 )

PDF (863KB) (212)

Analysis on the Achievements of Tea Science and Technology Awards at Provincial and Ministerial Level and above in China from 2008 to 2019

XIONG Xingping, ZHANG Xinzhong, LI Hongbin, SUN Liang, YAO Mingzhe

Journal of Tea Science. 2021 Vol. 41 (5): 608-618
doi: 10.13305/j.cnki.jts.20210917.001

Abstract( 308 )

PDF (1013KB) (209)

Analysis of the Metabolism of Amino Acids during the Withering of White Tea

CHEN Jiajia, ZHU Chensong, ZHU Wenwei, SHANG Hu, LIN Lin, LUO Yuqin, SUN Weijiang

Journal of Tea Science. 2021 Vol. 41 (4): 471-481
doi: 10.13305/j.cnki.jts.2021.04.003

Abstract( 303 )

PDF (1554KB) (156)

Sensory Characteristics of Yellow Large Leaf Tea by Quantitative Descriptive Analysis and Construction of Flavor Wheel

DAI Qianying, YE Yingjun, AN Qi, ZHENG Fangling, XIAO Mingji, XIAO Mengxuan, WANG Huiqiang, ZHANG Haiwei

Journal of Tea Science. 2021 Vol. 41 (4): 535-544
doi: 10.13305/j.cnki.jts.2021.04.007

Abstract( 247 )

PDF (1993KB) (152)

Study on Primitive Morpheme in Sensory Terminology and Flavor Wheel Construction of Chinese Tea

ZHANG Yingbin, LIU Xu, LU Chengyin

Journal of Tea Science. 2019 Vol. 39 (4): 474-483 doi: 10.13305/j.cnki.jts.20190530.001

Abstract （1620）

PDF （891KB）（878）

Research Progress on Chemical Composition and Biological Activity of Liupao Tea

MA Wanjun, MA Shicheng, LIU Chunmei, LONG Zhirong, TANG Baojun, LIN Zhi, LYU Haipeng

Journal of Tea Science. 2020 Vol. 40 (3): 289-304 doi: 10.13305/j.cnki.jts.2020.03.001

Abstract （939）

PDF （1369KB）（791）

Analysis on Development Scale ofChineseTea Industry in 2020

JIANG Yong-wen, CHEN Xiao-xiong, ZHU Jian-miao, YANG Shuang-xu

Journal of Tea Science. 2011 Vol. 31 (3): 273-282 doi: 10.13305/j.cnki.jts.2011.03.013

Abstract （372）

PDF （374KB）（790）

Leaching Pattern of Internal Substances and Xenobiotic Pollutants during Tea Brewing

CHEN Hongping, LIU Xin, LU Chengyin, QIU Jing

Journal of Tea Science. 2020 Vol. 40 (1): 63-76 doi: 10.13305/j.cnki.jts.20200117.008

Abstract （740）

PDF （497KB）（708）

Research Progress of Cellulase and Pectinase in the Extraction of Tea Leaves

GONG Yu-lei, WEI Chun, WANG Zhi-biao, SHEN Xue-liang

Journal of Tea Science. 2013 Vol. 33 (4): 311-321 doi: 10.13305/j.cnki.jts.2013.04.004

Abstract （384）

PDF （1179KB）（655）

Organic Carbon and Total Nitrogen Distribution in Aggregates from Yellow-red Soils Under Tea Plantations with Different Fertilizer Managements

WANG Limin, HUANG Dongfeng, LI Qinghua, HE Chunmei, ZHANG Hui, LIU Cailing, LI Fangliang, HUANG Yibin

Journal of Tea Science. 2018 Vol. 38 (4): 342-352 doi: 10.13305/j.cnki.jts.2018.04.002

Abstract （318）

PDF （819KB）（603）

Analysis of the Tea Projects Supported by National Natural Science Foundation of China from 1999 to 2019

XIONG Xingping, ZHANG Xinzhong, YANG Zhenwei

Journal of Tea Science. 2020 Vol. 40 (3): 305-318 doi: 10.13305/j.cnki.jts.2020.03.002

Abstract （829）

PDF （380KB）（531）

Sensory Characteristics of Tea Polyphenols and It’s Effects on Astringency of Tea

TONG Hua-rong, JIN Xiao-fang, GONG Xue-lian

Journal of Tea Science. 2006 Vol. 26 (2): 79-86 doi: 10.13305/j.cnki.jts.2006.02.001

Abstract （347）

PDF （483KB）（512）

Journal of Tea Science. 2002 Vol. 22 (01): 7-13+29 doi: 10.13305/j.cnki.jts.2002.01.002

Abstract （195）

PDF （66KB）（502）

Identification and Expression Analysis of Terpene Synthesis Related Genes during the Withering of White Tea

CHEN Xuejin, WANG Pengjie, LIN Xinying, GU Mengya, ZHENG Yucheng, ZHENG Zhilin, YE Naixing

Journal of Tea Science. 2020 Vol. 40 (3): 363-374 doi: 10.13305/j.cnki.jts.2020.03.007

Abstract （474）

PDF （1459KB）（473）

Transcriptome Analysis of the Tea Leaves (Camellia sinensis var. assamica) Infected by Tea Blister Blight

SUN Yunnan, XU Yan, RAN Longxun, JIANG Huibing, SONG Weixi, XIA Lifei, CHEN Linbo, LIANG Mingzhi

Journal of Tea Science. 2020 Vol. 40 (1): 113-124 doi: 10.13305/j.cnki.jts.2020.01.001

Abstract （395）

PDF （798KB）（465）

Research Progress of Tea Aroma Based on CiteSpace Visual Analysis

YIN Xia, HUANG Jian'an, HUANG Jing, BAO Xiaocun, ZHOU Lingyun, LI Wei, LIU Hongyan, ZHANG Shuguang, LIU Zhonghua

Journal of Tea Science. 2020 Vol. 40 (2): 143-156 doi: 10.13305/j.cnki.jts.2020.02.001

Abstract （694）

PDF （1249KB）（462）

Effects of Polyphenols of Old Fu Brick Tea on the Elderly Intestinal Flora

WU Genliang, HOU Aixiang, LI Ke, LI Zongjun

Journal of Tea Science. 2018 Vol. 38 (3): 319-330 doi: 10.13305/j.cnki.jts.2018.03.013

Abstract （329）

PDF （1529KB）（450）

Integrated Nutrient Management in Tea Plantation to Reduce Chemical Fertilizer and Increase Nutrient Use Efficiency

RUAN Jianyun, MA Lifeng, YI Xiaoyun, SHI Yuanzhi, NI Kang, LIU Meiya, ZHANG Qunfeng

Journal of Tea Science. 2020 Vol. 40 (1): 85-95 doi: 10.13305/j.cnki.jts.20200117.003

Abstract （846）

PDF （1210KB）（447）

Research on Main Physical Properties of Tea Leaves in High-quality Green Tea Processing

LI Chen, AI Zeyi, YU Zhi, CHEN Yuqiong, NI Dejiang

Journal of Tea Science. 2019 Vol. 39 (6): 705-714 doi: 10.13305/j.cnki.jts.2019.06.009

Abstract （505）

PDF （580KB）（441）

Study on Chemistry and Bioactivities of Tea Polysaccharides

XU Zhong-xi, WANG Kun-bo

Journal of Tea Science. 2004 Vol. 24 (2): 75-81 doi: 10.13305/j.cnki.jts.2004.02.001

Abstract （213）

PDF （280KB）（441）

A Review on the Regulation Technique of Withering Process and the Change in Physical and Chemical Properties of Leaves

HUA Jin-jie, YUAN Hai-bo, JIANG Yong-wen, LIU Ping, WANG Wei-wei

Journal of Tea Science. 2013 Vol. 33 (5): 465-472 doi: 10.13305/j.cnki.jts.2013.05.005

Abstract （338）

PDF （569KB）（440）

Research Progress of Near-infrared Spectroscopy in Tea Quality Control and Equipment Development

REN Guangxin, JIN Shanshan, LI Luqing, NING Jingming, ZHANG Zhengzhu

Journal of Tea Science. 2020 Vol. 40 (6): 707-714 doi: 10.13305/j.cnki.jts.2020.06.001

Abstract （658）

PDF （1236KB）（431）

Study on the Changes of Physical and Chemical Components during the Frying Process of Green Tea by Computer Vision

WU Xun, LIU Fei, CHEN Zhiwei, WANG Yuwan, CHEN Lin, TU Zheng, ZHOU Xiaofen, YANG Yunfei, YE Yang, TONG Huarong

Journal of Tea Science. 2020 Vol. 40 (2): 194-204 doi: 10.13305/j.cnki.jts.2020.02.006

Abstract （410）

PDF （965KB）（428）

Dynamics of Scent Type and Aroma Components of Wuyi Dahongpao during the Preliminary Processing

WANG Fang, ZHANG Jianming, LI Bo, CHEN Baiwen, LIU Baoshun, ZHAN Shiquan, LIU Shizhang

Journal of Tea Science. 2019 Vol. 39 (4): 455-463 doi: 10.13305/j.cnki.jts.2019.04.011

Abstract （516）

PDF （458KB）（420）

»	Evaluation of Genetic Diversity in Oolong Tea Germplasms by AFLP Fingerprinting
	HUANG Fu-ping, LIANG Yue-rong, LU Jian-liang, CHEN Rong-bing, Mamati G. E., SUN Qing-lei
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