Enhancing Phenolic Profiles in ‘Cabernet Franc’ Grapes Through Chitooligosaccharide Treatments: Impacts on Phenolic Compounds Accumulation Across Developmental Stages DOI Creative Commons

Wenle Qiang,

Hongjuan Wang,

Tongwei Ma

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(11), P. 2039 - 2039

Published: Nov. 12, 2024

High-quality grape raw materials are fundamental for producing premium wine. Ensuring the quality of materials, particularly enhancing their phenolic profiles, significantly improves wine flavor. Therefore, this study focused on ‘Cabernet Franc’ grapes, where a 0.1% chitooligosaccharide (COS) solution was foliar sprayed during green pea stage, onset veraison and mid-ripening stage to investigate impact exogenous COS treatment accumulation compounds in berries. The results revealed that stages increased levels total phenolic, flavonoid, anthocyanin with distinct effects flavanols, acids, flavonols, stilbenes, respectively. Eight key most influenced by were identified through orthogonal partial least squares discriminant analysis (OPLS-DA) machine learning screening. Specifically, had significant soluble solids, proanthocyanidin B1, catechin, vanillic acid, while notably affected petunidin-3-O-(6″-O-p-coumaryl)-glucoside, cyanidin-3-O-(6″-O-p-coumaryl)-glucoside, cyanidin-3-O-glucoside isorhamnetin. This could provide valuable data references theoretical support applying grapes regulating high-quality materials.

Language: Английский

New Revolution for Quality Control of TCM in Industry 4.0: Focus on Artificial Intelligence and Bioinformatics DOI Creative Commons
Yaolei Li, Jing Fan, Xian‐Long Cheng

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 118023 - 118023

Published: Oct. 1, 2024

Language: Английский

Citations

5
Small-Sample Authenticity Identification and Variety Classification of Anoectochilus Roxburghii (Wall.) Lindl. Using Hyperspectral Imaging and Machine Learning DOI Creative Commons
Yiqing Xu,

Haoyuan Ding,

Tingsong Zhang

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(8), P. 1177 - 1177

Published: April 10, 2025

This study aims to utilize hyperspectral imaging technology combined with machine learning methods for the authenticity identification and classification of Anoectochilus roxburghii its counterfeit species. Hyperspectral data were collected from front back leaves nine species Goldthread two (Bloodleaf Spotted-leaf), followed by using a variety models, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Random Forest (RF), Linear Discriminant Analysis (LDA), Convolutional Neural Networks (CNN). The experimental results demonstrated that SVM model achieved 100% accuracy distinguishing species, effectively capturing spectral differences between leaves. In contrast, traditional models showed varied performance, proving superior due ability handle high-dimensional feature spaces. introduction multi-view fusion CNN model, which integrates both leaves, further enhanced accuracy, achieving perfect rate 100%. approach highlights potential in plant provides new perspective detection

Language: Английский

Citations

0
Engineering Nicotiana benthamiana for chrysoeriol production using synthetic biology approaches DOI Creative Commons

Saet Buyl Lee,

Sung‐Eun Lee, Hyo Lee

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 17, 2024

Flavonoids are prevalent plant secondary metabolites with a broad range of biological activities. Their antioxidant, anti-inflammatory, and anti-cancer activities make flavonoids widely useful in variety industries, including the pharmaceutical health food industries. However, many occur at only low concentrations plants, they difficult to synthesize chemically due their structural complexity. To address these difficulties, new technologies have been employed enhance production

Language: Английский

Citations

1
Rapid Identification of Medicinal Polygonatum Species and Predictive of Polysaccharides Using ATR‐FTIR Spectroscopy Combined With Multivariate Analysis DOI
Yue Wang, Zhimin Li, Wanyi Li

et al.

Phytochemical Analysis, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 18, 2024

Medicinal Polygonatum species is a widely used traditional Chinese medicine with high nutritional value, known for its anti-fatigue properties, enhancement of immunity, delays aging, improves sleep, and other health benefits. However, the efficacy different varies, making quality control medicinal increasingly important. Polysaccharides are important in because their potential functional such as antioxidation, hypoglycemia, protection intestinal health, minimal toxicological effects on human well polysaccharide levels.

Language: Английский

Citations

1
Feasibility study on discrimination of Polygonatum kingianum origins by NIR and MIR spectra data DOI
Yue Wang, Yuanzhong Wang

Journal of Food Science, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Abstract Most existing studies have focused on identifying the origin of species with protected geographical indications while neglecting to determine proximate different species. In this study, we investigated feasibility using near‐ and mid‐infrared spectroscopy identify 156 Polygonatum kingianum samples from six regions in Yunnan, China. work, spectral images modes reveal more information about P. . Comparing performance traditional machine learning models according single spectrum data fusion, middle‐level fusion‐principal component model has best performance, its sensitivity, specificity, accuracy are all 1, least number variables. The residual convolutional neural network (ResNet) constructed 1050–850 cm −1 band confirms that fewer variables beneficial improving model. conclusion, study verifies proposed strategy establishes a practical source

Language: Английский

Citations

0
Enhancing Phenolic Profiles in ‘Cabernet Franc’ Grapes Through Chitooligosaccharide Treatments: Impacts on Phenolic Compounds Accumulation Across Developmental Stages DOI Creative Commons

Wenle Qiang,

Hongjuan Wang,

Tongwei Ma

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(11), P. 2039 - 2039

Published: Nov. 12, 2024

High-quality grape raw materials are fundamental for producing premium wine. Ensuring the quality of materials, particularly enhancing their phenolic profiles, significantly improves wine flavor. Therefore, this study focused on ‘Cabernet Franc’ grapes, where a 0.1% chitooligosaccharide (COS) solution was foliar sprayed during green pea stage, onset veraison and mid-ripening stage to investigate impact exogenous COS treatment accumulation compounds in berries. The results revealed that stages increased levels total phenolic, flavonoid, anthocyanin with distinct effects flavanols, acids, flavonols, stilbenes, respectively. Eight key most influenced by were identified through orthogonal partial least squares discriminant analysis (OPLS-DA) machine learning screening. Specifically, had significant soluble solids, proanthocyanidin B1, catechin, vanillic acid, while notably affected petunidin-3-O-(6″-O-p-coumaryl)-glucoside, cyanidin-3-O-(6″-O-p-coumaryl)-glucoside, cyanidin-3-O-glucoside isorhamnetin. This could provide valuable data references theoretical support applying grapes regulating high-quality materials.

Language: Английский

Citations

0