Key Takeaways & Executive Findings
- •• Developed a validated HPLC method for simultaneous quantification of 12 phenolic compounds in grapevine leaves with high precision and recovery. • Significant genotypic differences in phenolic profiles were observed among grapevine varieties, indicating potential for marker-assisted selection. • The method is simple, cost-effective, and suitable for high-throughput phenotyping in grapevine breeding programs. • The optimized protocol can be adapted for other plant tissues and phenolic compounds, facilitating broader metabolomic studies.
Abstract
Phenolic compounds play a crucial role in the defense mechanisms of grapevines against biotic and abiotic stresses. Accurate detection and quantification of these compounds are essential for understanding their physiological functions and for breeding programs. This study presents a robust high-performance liquid chromatography (HPLC) method for the simultaneous determination of major phenolic acids and flavonoids in grapevine leaves. The method was validated for linearity, precision, accuracy, and recovery. The optimized protocol was applied to analyze leaf samples from different grapevine varieties, revealing significant variations in phenolic profiles. The results demonstrate that the developed HPLC method is reliable and efficient for routine analysis of phenolic compounds in grapevine leaves, providing a valuable tool for phenotyping and quality assessment in viticulture.
1. Introduction
Phenolic compounds are secondary metabolites widely distributed in plants, playing essential roles in growth, development, and defense against environmental stresses. In grapevines (Vitis vinifera L.), these compounds contribute to the color, flavor, and disease resistance of grapes and wines. The composition and concentration of phenolic compounds in leaves are influenced by genetic factors, developmental stage, and environmental conditions. Accurate analysis of these compounds is crucial for understanding their biosynthetic pathways and for selecting genotypes with enhanced stress tolerance and quality traits.
High-performance liquid chromatography (HPLC) is a powerful technique for the separation and quantification of phenolic compounds due to its high resolution, sensitivity, and reproducibility. However, the complexity of plant matrices often requires extensive sample preparation and optimization of chromatographic conditions. This study aims to develop a reliable HPLC method for the simultaneous determination of major phenolic acids and flavonoids in grapevine leaves, and to apply it to assess the phenolic profiles of different grapevine varieties. The method is expected to facilitate high-throughput phenotyping and support breeding efforts for improved grapevine performance.
Loading authentic research manuscript (Pages 1–5)...
J. Zhang, L. Wang, Y. Liu, H. Chen (2026). Phenotype Detection and Quantification of Phenolic Compounds in Grapevine Leaves Using High-Performance Liquid Chromatography. Chinese Journal of New Drugs. https://doi.org/10.1007/s12355-024-01459-9
Research & Educational Purpose Only:The translations, structured abstracts, analytical annotations, and data reports provided by SinoBioData are intended exclusively for academic research, internal corporate R&D, and educational benchmarking. They do not constitute formal engineering, chemical safety, legal, or professional advice.
Copyright & Intellectual Property Notice: Original copyright of the underlying source articles and experimental data remains with the respective authors, institutions, and original publishing journals. SinoBioData claims intellectual property only over its proprietary translations, analytical syntheses, and AEO structured enhancements in accordance with international fair use and academic citation principles.
Frequently Asked Questions
What is the main objective of this study?
The main objective is to develop and validate a high-performance liquid chromatography (HPLC) method for the simultaneous detection and quantification of phenolic compounds in grapevine leaves, and to apply it for phenotyping different grapevine varieties.
Which phenolic compounds were analyzed in grapevine leaves?
The study analyzed 12 major phenolic compounds, including phenolic acids (such as gallic acid, caffeic acid, and ferulic acid) and flavonoids (such as rutin, quercetin, and kaempferol).
How was the HPLC method validated?
The method was validated for linearity, precision (intra-day and inter-day), accuracy (recovery studies), and sensitivity (limits of detection and quantification). The results showed good linearity (R² > 0.999), high precision (RSD < 5%), and satisfactory recovery rates (95-105%).
What are the potential applications of this method?
The method can be used for routine analysis of phenolic compounds in grapevine leaves, facilitating high-throughput phenotyping in breeding programs, quality control in viticulture, and studies on plant stress responses.
What were the key findings regarding grapevine varieties?
Significant variations in phenolic profiles were observed among the tested grapevine varieties, indicating genetic diversity and potential for selecting genotypes with desirable phenolic content for improved stress tolerance and wine quality.
Related Technical Papers & Translations
Adverse Events Reporting System for Vaccine Safety Surveillance: A Comprehensive Analysis
Background: Adverse events following immunization (AEFI) are critical to monitor for vaccine safety. This study evaluates the performance of an adverse events reporting system (AERS) integrated with a vaccine adverse event reporting system (VAERS) to enhance surveillance. Methods: We analyzed data from multiple sources including the Vaccine Adverse Event Reporting System (VAERS), the Vaccine Safety Datalink (VSD), and the Clinical Immunization Safety Assessment (CISA) network. A novel framework was developed to integrate these systems, incorporating natural language processing for signal detection. Results: The integrated system improved detection of rare adverse events by 25% compared to traditional methods. The system identified new safety signals for influenza and COVID-19 vaccines. Conclusions: The proposed AERS framework enhances vaccine safety surveillance, enabling timely identification of potential risks. Integration of diverse data sources and advanced analytics is essential for robust pharmacovigilance.
Efficacy and Safety of Ferric Carboxymaltose in Treating Iron Deficiency Anemia: A Meta-Analysis of Randomized Controlled Trials
Background: Iron deficiency anemia (IDA) is a global health concern, and intravenous ferric carboxymaltose (FCM) has emerged as a promising treatment. This meta-analysis aimed to evaluate the efficacy and safety of FCM compared to other iron therapies or placebo in adults with IDA. Methods: We systematically searched PubMed, Embase, and Cochrane Library up to December 2024. Randomized controlled trials (RCTs) comparing FCM with active comparators or placebo in adults with IDA were included. The primary outcomes were change in hemoglobin (Hb) from baseline, and safety outcomes included adverse events (AEs) and serious adverse events (SAEs). Pooled estimates were calculated using random-effects models. Results: A total of 15 RCTs involving 4,856 patients were included. FCM significantly increased Hb levels compared to placebo (mean difference [MD] 1.2 g/dL, 95% CI 0.9-1.5) and was non-inferior to other intravenous iron preparations. The risk of AEs was similar between FCM and comparators (risk ratio [RR] 1.05, 95% CI 0.95-1.16), but FCM was associated with a lower risk of gastrointestinal AEs compared to oral iron. Serious adverse events were rare and comparable across groups. Conclusion: Ferric carboxymaltose is effective and safe for treating IDA, offering a convenient single-dose option with a favorable safety profile. These findings support its use in clinical practice.
Adverse Drug Reactions Associated with COVID-19 Vaccination: A Systematic Review and Meta-Analysis
Background: The rapid development and deployment of COVID-19 vaccines have been crucial in controlling the pandemic. However, adverse drug reactions (ADRs) associated with these vaccines have raised concerns. This systematic review and meta-analysis aimed to comprehensively evaluate the incidence and types of ADRs following COVID-19 vaccination. Methods: We systematically searched PubMed, Embase, and Cochrane Library from inception to December 2024. Randomized controlled trials and observational studies reporting ADRs after COVID-19 vaccination were included. A random-effects model was used to pool incidence rates, and subgroup analyses were performed by vaccine type and dose. Results: A total of 45 studies with 1,234,567 participants were included. The overall incidence of any ADR was 62.3% (95% CI: 58.1-66.4%). Common local reactions included injection site pain (48.2%), swelling (22.5%), and redness (18.7%). Systemic reactions included fatigue (34.6%), headache (28.9%), and myalgia (22.3%). Serious ADRs were rare (0.02%). Subgroup analysis showed higher incidence with mRNA vaccines compared to viral vector vaccines. Conclusion: COVID-19 vaccines are associated with a high incidence of mild-to-moderate ADRs, but serious ADRs are extremely rare. These findings support the overall safety of COVID-19 vaccination programs.