Comprehensive Analysis of Fresh Tea (Camellia Sinensis Cv. Lingtou Dancong) Leaf Quality Under Different Nitrogen Fertilization Regimes DOI

Zihao Qiu,

Shaoqun Liu,

Jinmei Liao

et al.

Published: Jan. 1, 2023

This study examined fresh leaves from Lingtou tea plants to assess non-volatile and volatile substances, as well gene expression, affected by fertilization with nitrogen at rates of 0, 150, 300, 450 kg/ha. Results showed that applying kg/ha increased total polyphenols (TPs) free amino acids (AAs) while reducing the TP AA ratio (TP/AA). However, it decreased catechins (TC). Chlorophyll, caffeine (CAF) theanine accumulated a greater degree application kg/ha, respectively. Moreover, TP, CAF, TC, WE, EGC, significantly influenced taste (VIP＞1). Eight key compounds (VIP＞1, OAV≥1) crucial for overall aroma were identified, linalool cis-linalool oxide (furanoid) being most significant. 300 upregulated dihydroflavonol reductase (DFR)gene, which may explain decrease in catechin content observed treatment group.

Language: Английский

Comprehensive analysis of fresh tea (Camellia sinensis cv. Lingtou Dancong) leaf quality under different nitrogen fertilization regimes DOI Creative Commons

Zihao Qiu,

Jinmei Liao,

Jiahao Chen

et al.

Food Chemistry, Journal Year: 2023, Volume and Issue: 439, P. 138127 - 138127

Published: Dec. 6, 2023

Our study investigated the impact of nitrogen fertilization at 0, 150, 300, and 450 kg/ha on non-volatile volatile substances, as well gene expression in fresh leaves from Lingtou tea plants. We found that applying notably increased total polyphenols (TPs) free amino acids (AAs) while decreasing TP to AA ratio (TP/AA) catechins (TC) contents. Chlorophyll, caffeine (CAF) theanine accumulated a greater extent with application rates kg/ha, respectively, six substances - TP, CAF, TC, theanine, epigallocatechin (EGC), key contributors taste quality LTDC. Additionally, five variable importance projections (VIP) ≥ 1 odor activation values (OAV) 1, linalool cis-linalool oxide (furanoid), significantly contributed tea's overall aroma. Furthermore, 300 upregulated dihydroflavonol reductase (DFR)gene, likely causing catechin decrease.

Language: Английский

Citations

17
Comprehensive Analysis of the Yield and Leaf Quality of Fresh Tea (Camellia sinensis cv. Jin Xuan) under Different Nitrogen Fertilization Levels DOI Creative Commons

Jiajun Cai,

Zihao Qiu,

Jinmei Liao

et al.

Foods, Journal Year: 2024, Volume and Issue: 13(13), P. 2091 - 2091

Published: July 1, 2024

Reasonable application of nitrogen fertilizer can improve the yield and quality tea. This study used Jin Xuan as tested variety applied at rates 0 kg/ha (N0), 150 (N150), 300 (N300), 450 (N450) in summer autumn seasons to analyze effects on components gene expression tea leaves. The results showed that N150 treatment significantly increased total polyphenols (TP), catechins (TC), caffeine contents, with most significant increase observed content six monomers (EGCG, ECG, EGC, GCG, GC, EC) summer. N300 TP AA contents while decreasing TC content. Additionally, theanine autumn. Notably, both yields. Multivariate statistical analysis TPs, AAs, TCs, were key factors affecting Xuan. Furthermore, upregulated phenylalanine ammonia-lyase (

Language: Английский

Citations

6
Magnesium Regulation Increases the Content of Characteristic Volatile Compounds and Enhances the Intensity of Odor Characteristics in Tea Tree Leaves DOI Creative Commons
Jianghua Ye, Qingbei Weng, Yulin Wang

et al.

Foods, Journal Year: 2025, Volume and Issue: 14(6), P. 1043 - 1043

Published: March 19, 2025

Magnesium plays an important role in regulating the growth and quality of tea trees. However, effect magnesium regulation on changes aroma tree leaves remains unknown. In this study, volatile compounds under different concentrations were determined to obtain characteristic that changed significantly their odor characteristics explore leaves. The results showed enhanced content 15 leaves, especially heptyl formate t-geraniol. mainly five kinds characteristics, such as fruity, green, floral, pungent, woody, burnt; critically increased green characteristics. This study lays foundation for application exogenous ions regulate quality.

Language: Английский

Citations

0
Underlying characteristic aroma of white tea from diverse geographical origins and its prediction DOI Open Access

Jialin Zhang,

Zhi‐Hui Wang, Lingzhi Zhang

et al.

Journal of the Science of Food and Agriculture, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Abstract BACKGROUND White tea, an agriculturally distinctive product, exhibits significant aroma variations across different regions. Nevertheless, the mechanisms driving these differences, and distinguishing methods suitable for specific origins, have been scarcely reported. In this study, we analyzed characteristics volatile components of 100 white tea samples from ten regions, utilizing sensory evaluation, headspace solid‐phase microextraction–gas chromatography–mass spectrometry chemometrics, then established a discrimination model. RESULTS A total 66 compounds were identified, with alcohols esters being most important. Linalool geranyl alcohol common relatively abundant all significantly contributing to tea. The relative content differed notably where 33 key compounds, including ( E )‐2‐phenylbut‐2‐enal methyl 2,5‐octadecadiynoate, crucial regional prediction. Employing machine learning algorithms, such as random forest support vector prediction, yielded accuracies 93.33% 90.00%, respectively. CONCLUSION This study unveils new insights into variation in proposing innovative way origin determination. © 2025 Society Chemical Industry.

Language: Английский

Citations

0
Optimal training strategy for high-performance detection model of multi-cultivar tea shoots based on deep learning methods DOI
Zhi Zhang, Yongzong Lu,

Mengying Yang

et al.

Scientia Horticulturae, Journal Year: 2024, Volume and Issue: 328, P. 112949 - 112949

Published: Feb. 7, 2024

Language: Английский

Citations

3
Impact of Mild Field Drought on the Aroma Profile and Metabolic Pathways of Fresh Tea (Camellia sinensis) Leaves Using HS-GC-IMS and HS-SPME-GC-MS DOI Creative Commons
Xiaohui Liu,

Fabao Dong,

Yucai Li

et al.

Foods, Journal Year: 2024, Volume and Issue: 13(21), P. 3412 - 3412

Published: Oct. 26, 2024

Aroma plays a pivotal role in defining tea quality and distinctiveness, producers have often observed that specific drought conditions are closely associated with the formation accumulation of characteristic aroma compounds leaves. However, there is still limited understanding differential strategies employed by various cultivars response to stress for key volatile fresh leaves, as well metabolic pathways involved formation. In this study, two widely cultivated China, Fuding Dabai (FD) Wuniuzao (WNZ), were examined assess impact mild field on composition leaves using headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) solid phase micro-extraction chromatography-mass (HS-SPME-GC-MS) technologies. Results revealed led substantial increase diversity (VOCs) FD, while WNZ exhibited notable rise low-threshold VOC concentrations, amplifying sweet, floral, fruity, earthy profiles post-drought Through partial least squares discriminant analysis (PLS-DA) HS-GC-IMS HS-SPME-GC-MS data, integrating variable importance projection (VIP) scores odor activity values (OAVs) above 1, 9, 13, odor-active identified potential markers distinguishing responses cultivars. These serve crucial indicators aromatic profile shifts induced drought, providing insights into Additionally, KEGG enrichment 12 pathways, such terpenoid biosynthesis, fatty acid synthesis, cutin, suberine, wax phenylalanine metabolism, which may play roles VOCs under stress. findings provide comprehensive framework cultivar-specific mechanisms conditions.

Language: Английский

Citations

3
Comparative analysis of habitat suitability for a crop and its primary insect herbivore: providing insights for crop planting and pest management strategies DOI Creative Commons
Jinyu Li,

Bang Zhang,

Yi Mao

et al.

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 11

Published: Jan. 4, 2024

Habitat suitability analysis using species distribution models (SDMs) presents a valuable approach for determining appropriate land utilization strategies and crop planting decisions, which are vital to achieve optimal agricultural productivity ensure environmental sustainability in the context of rapid global change. Aside abiotic conditions, pests emerge as most important biological factor affecting growth. It can be an effective avenue comprehensively assess use by building integrating SDMs both crops their pests. Using MaxEnt model bivariate map, we predicted integrated habitat tea ( Camellia sinensis ) its primary insect herbivore Empoasca onukii China. Our study explicitly revealed spatial heterogeneity between two species, despite finding that they shared common predictors (i.e., temperature, elevation, soil pH). Results support South China Southwest favorable areas cultivation, while highlighting adverse climatic challenges on growth middle lower reaches Yangtze River northern regions River. Meanwhile, analyses emphasize necessity sustainable leafhopper management along southeast coast. These findings demonstrate significance comparative herbivores, providing insights production planning pest management. Furthermore, methods employed this hold potential application diverse context, ranging from control invasive conservation endangered biodiversity.

Language: Английский

Citations

2
Soil pH and organic matter: Key edaphic factors in sustaining optimum yield and quality of pomelo fruit DOI

Liangquan Wu,

Mengting Qin,

Muhammad Atif Muneer

et al.

Scientia Horticulturae, Journal Year: 2024, Volume and Issue: 337, P. 113524 - 113524

Published: July 27, 2024

Language: Английский

Citations

1
Oolong tea DOI
Po‐An Chen, Shu-Yen Lin

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 77 - 88

Published: Oct. 1, 2024

Citations

1
Comparison of Untargeted and Markers Analysis of Volatile Organic Compounds with SIFT-MS and SPME-GC-MS to Assess Tea Traceability DOI Creative Commons
Marine Reyrolle, Valérie Desauziers, Thierry Pigot

et al.

Foods, Journal Year: 2024, Volume and Issue: 13(24), P. 3996 - 3996

Published: Dec. 11, 2024

Tea is one of the most consumed beverages in world and presents a great aromatic diversity depending on origin production transformation process. Volatile organic compounds (VOCs) greatly contribute to sensory perception tea are excellent markers for traceability quality. In this work, we analyzed volatile emitted by twenty-six perfectly traced samples with two analytical techniques data treatment strategies. First, performed headspace solid-phase microextraction gas chromatography–mass spectrometry (HS-SPME-GC-MS) as widely used reference method sanitary quality controls food. Next, selected-ion flow-tube mass (SIFT-MS), an emerging direct analysis food products aroma. We compared performances both trace processes. selected forty-eight relevant HS-SPME-GC-MS evaluated their concentrations flame ionization detector (FID) same instrument. This set permitted separation origins but did not allow be differentiated based color. The was measured SIFT-MS instrument without success either or color differentiation. Finally, post-processing raw signals untargeted approach applied GC-MS dataset. strategy allowed good discrimination instruments. Advantages drawbacks profiles instruments were discussed assessment

Language: Английский

Citations

1