Determination of Bioactive Components in Chrysanthemum Tea (Gongju) Using Hyperspectral Imaging Technique and Chemometrics DOI Creative Commons
Yunpeng Wei, Huiqiang Hu,

Minghua Yuan

et al.

Foods, Journal Year: 2024, Volume and Issue: 13(24), P. 4145 - 4145

Published: Dec. 21, 2024

The bioactive components of chrysanthemum tea are an essential indicator in evaluating its nutritive and commercial values. Combining hyperspectral imaging (HSI) with key wavelength selection pattern recognition methods, this study developed a novel approach to estimating the content chrysanthemums, including total flavonoids (TFs) chlorogenic acids (TCAs). To determine informative wavelengths images, we introduced variable similarity regularization term into particle swarm optimization (denoted as VSPSO), which can focus on improving combinatorial performance filtering out features higher collinearity simultaneously. Moreover, considering underlying relevance phytochemical exterior morphology characteristics, spatial image were also extracted. Finally, ensemble learning model, LightGBM, was established estimate TF TCA contents using fused features. Experimental results indicated that proposed VSPSO achieved superior accuracy, R2 scores 0.9280 0.8882 for prediction. Furthermore, after involvement information, spectral–spatial optimal model accuracy LightGBM. reached 0.9541 0.9137, increasing by 0.0308–0.1404 0.0181–0.1066 comparison classical wavelength-related methods models. Overall, our research provides method accurately efficiently. These discoveries revealed potential effectiveness constructing feature fusion HSI-based practical applications, such value evaluation heavy metal pollution detection, will facilitate development quality detection food industry.

Language: Английский

Phytochemicals and Biological Properties of Azorean Camellia sinensis Black Tea Samples from Different Zones of Tea Plantation DOI Creative Commons
Lisete Paiva, Ana Paula Dias,

Madalena Motta

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(1), P. 103 - 103

Published: Jan. 2, 2025

Camellia sinensis tea has received considerable attention due to its beneficial effects on health, particularly antioxidant properties that are affected by several factors, which have a high influence the final quality of black tea. The objective this study was investigate biological Azorean C. from five different zones plantation in order select specific areas cultivate rich targeted compounds human health. free radical scavenging activity (FRSA), ferric reducing power (FRAP), ferrous ion chelating (FIC) activities, total phenolic content (TPC), flavonoid (TFC), and tannins were determined colorimetric methods, catechin theaflavin contents analyzed high-pressure liquid chromatography. results indicated samples Zone E (341 m above sea level) presented higher values FRSA (EC50 = 7.22 µg/mL), FRAP 9.06 FIC activities (79.83%) phenolics (264.76 mg GAE/g DE) almost all catechins. For TFC, very similar between zones, for theaflavins content, A showed best levels, followed E. In general, these clearly highlight altitude plays significant role enhancing certain tea, thereby influencing quality.

Language: Английский

Citations

1
Revealing the Molecular Regulatory Mechanism of Flavonoid Accumulation in Tender Leaves of Tea Plants by Transcriptomic and Metabolomic Analyses DOI Creative Commons

Rui-Yang Shan,

Yongheng Zhang,

Xiao-Mei You

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(4), P. 625 - 625

Published: Feb. 19, 2025

Flavonoids are secondary metabolites that beneficial to life activities and mainly concentrated in buds leaves the form of glycosides. Flavonoid glycosides have important effects on properties quality tea plants. Research has shown abundance flavonoid varies greatly among different cultivars, but research regulatory mechanisms cause their differential accumulation plant cultivars with leaf colors is lacking. In this study, an integrated analysis metabolomics transcriptomics was conducted determine networks regulating astringency color-related flavonoids diverse colors. A total five anthocyanidins, four catechins, nine flavonol were found partially contribute differences taste color Furthermore, 15 MYB genes 5 Dof identified as potential regulators controlling expression eight key structural genes, resulting specific compounds, including epicatechin (EC), catechin (C), cyanidin, cyanidin 3-O-glucoside, pelargonidin quercetin These findings provide insights into development utilization resources from plants

Language: Английский

Citations

1
Integrating occurrence and transfer to understand the risks of multi-pesticides in goji berry bud tea DOI
Suzhen Li,

Jizhen Fu,

Rui Song

et al.

Journal of Food Composition and Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 107547 - 107547

Published: March 1, 2025

Language: Английский

Citations

0
L-Theanine Metabolism in Tea Plants: Biological Functions and Stress Tolerance Mechanisms DOI Creative Commons

Qianying Wang,

Jingbo Yu,

Wei-De Lin

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(3), P. 492 - 492

Published: Feb. 6, 2025

L-theanine, a unique non-protein amino acid predominantly found in tea plants (Camellia sinensis), plays pivotal role plant responses to abiotic stress and significantly influences quality. In this review, the metabolism transport mechanisms of L-theanine are comprehensively discussed, highlighting its spatial distribution plants, where it is most abundant young leaves less so roots, stems, older leaves. The biosynthesis occurs through enzymatic conversion glutamate ethylamine, catalyzed by theanine synthase, primarily from transported aerial parts for further catabolism. Environmental factors such as temperature, light, drought, elevated CO2, nutrient unavailability, heavy metals affect hydrolysis, with hormones transcription playing crucial regulatory roles. Furthermore, has been demonstrated that applying exogenously improves other crops’ resistance range stresses, suggesting potential utility improving crop resilience amid climate change. This review aims elucidate physiological biological functions under conditions, providing theoretical foundation enhancing quality cultivation.

Language: Английский

Citations

0
Advanced Photocatalytic Degradation of Organic Pollutants Using Green Tea-Based ZnO Nanomaterials Under Simulated Solar Irradiation in Agri-Food Wastewater DOI Creative Commons
Szabolcs Bognár,

Dušica Jovanović,

Vesna Despotović

et al.

Foods, Journal Year: 2025, Volume and Issue: 14(4), P. 622 - 622

Published: Feb. 13, 2025

The increasing presence of various organics poses significant threats to aquatic ecosystems and living organisms. Conventional water treatment methods are often insufficient, necessitating the development powerful sustainable alternatives. This study addresses this challenge by exploring synthesis ZnO nanoparticles using green tea leaves extract-an eco-friendly approach-for sunlight-activated removal in agri-food wastewater. research examined different conditions for clomazone (CLO), tembotrione (TEM), ciprofloxacin (CIP), zearalenone (ZEA). Nitrate-derived synthesized a medium (N-gZnOw) exhibited highest photocatalytic activity, removing 98.2, 95.8, 96.2, 96.6% CLO, TEM, CIP, ZEA. Characterization techniques (XRD, Raman spectroscopy, SEM, zeta potential measurements, UV-visible spectroscopy) confirmed N-gZnOw, with an average particle size 14.9 nm, isoelectric point 9.9, band gap energy 2.92 eV. Photocatalytic experiments identified 0.5 mg/cm3 as optimal catalyst loading, while higher initial pollutant concentration reduced degradation efficiency. LC-ESI-MS/MS measurements efficient formation intermediates. Hence, demonstrates that extract-synthesized offer promising, solution herbicides, pharmaceuticals, mycotoxins from wastewater, paving way purification technologies.

Language: Английский

Citations

0
Effect of Blue Light Intensity During Spreading on the Aroma of Green Tea DOI Creative Commons

Youyue He,

Yan Tang,

Shangxin Song

et al.

Foods, Journal Year: 2025, Volume and Issue: 14(8), P. 1308 - 1308

Published: April 9, 2025

Spreading is the key process for ensuring green tea quality. However, effect of blue light intensity conditions on formation aroma and evolution volatile compounds has not been assessed to date. Four samples treated with different (blue intensities) were used investigate spreading treatment changes in composition content compounds. Volatile detected using headspace-solid phase microextraction gas chromatography-mass spectrometry under conditions. Orthogonal partial least squares discriminant analysis (OPLS-DA) relative odor activity value (rOAV) analyses then applied clarify best condition forming associated The 116 samples, which alcohols most abundant. findings demonstrated that MBL (middle-intensity light; 150 μmol/(m2∙s)) was effective developing an intense persistent fruity floral scent compared HBL (high-intensity 300 LBL (low-intensity 75 μmol/(m2∙s)). This study underscores how shape aromas offers operational insights. It also provides a theoretical basis controlling

Language: Английский

Citations

0
Determination of Bioactive Components in Chrysanthemum Tea (Gongju) Using Hyperspectral Imaging Technique and Chemometrics DOI Creative Commons
Yunpeng Wei, Huiqiang Hu,

Minghua Yuan

et al.

Foods, Journal Year: 2024, Volume and Issue: 13(24), P. 4145 - 4145

Published: Dec. 21, 2024

The bioactive components of chrysanthemum tea are an essential indicator in evaluating its nutritive and commercial values. Combining hyperspectral imaging (HSI) with key wavelength selection pattern recognition methods, this study developed a novel approach to estimating the content chrysanthemums, including total flavonoids (TFs) chlorogenic acids (TCAs). To determine informative wavelengths images, we introduced variable similarity regularization term into particle swarm optimization (denoted as VSPSO), which can focus on improving combinatorial performance filtering out features higher collinearity simultaneously. Moreover, considering underlying relevance phytochemical exterior morphology characteristics, spatial image were also extracted. Finally, ensemble learning model, LightGBM, was established estimate TF TCA contents using fused features. Experimental results indicated that proposed VSPSO achieved superior accuracy, R2 scores 0.9280 0.8882 for prediction. Furthermore, after involvement information, spectral–spatial optimal model accuracy LightGBM. reached 0.9541 0.9137, increasing by 0.0308–0.1404 0.0181–0.1066 comparison classical wavelength-related methods models. Overall, our research provides method accurately efficiently. These discoveries revealed potential effectiveness constructing feature fusion HSI-based practical applications, such value evaluation heavy metal pollution detection, will facilitate development quality detection food industry.

Language: Английский

Citations

0