ArticleJournal of agricultural and food chemistry2022
High-Throughput Method for Wide-Coverage and Quantitative Phenolic Fingerprinting in Plant-Origin Foods and Urine Samples.
Article in Journal of agricultural and food chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Polyphenol-Rich Foods as a Healthy and Sustainable Strategy: Mental Health and Metabolomic Profiling.Molecular nutrition & food research · 2026Trial
- Phenolic Compounds: From Traditional Uses to Innovative Applications and Everything in Between.Molecular nutrition & food research · 2026Review
- An Overview of Metabolomic Approaches to Polyphenol Profiling for Nutraceutical Development.Molecules (Basel, Switzerland) · 2026Review
- Absolute Quantitation of Phenolic Compounds in Olive Oil for Health Claim Recognition.Antioxidants (Basel, Switzerland) · 2026Article
- Advances in Chromatographic Analysis of Phenolic Phytochemicals in Foods: Bridging Gaps and Exploring New Horizons.Foods (Basel, Switzerland) · 2024Review
- Protective Effect of Anthocyanins against Neurodegenerative Diseases through the Microbial-Intestinal-Brain Axis: A Critical Review.Nutrients · 2023Review
- An Overview on the Application of Chemometrics Tools in Food Authenticity and Traceability.Foods (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of mass spectrometry is currently widespread in polyphenol research because of its sensitivity and selectivity, but its usual high cost, reduced robustness, and nonavailability in many analytical laboratories considerably hinder its routine implementation. Herein, we describe the optimization and validation of a high-throughput, wide-coverage, and robust metabolomics method based on reversed-phase ultra-high-performance liquid chromatography with diode array detection for the identification and quantification of 69 phenolic compounds and related metabolites covering a broad chemical space of the characteristic secondary metabolome of plant foods. The method was satisfactorily validated following the Food and Drug Administration guidelines in terms of linearity (4-5 orders of magnitude), limits of quantification (0.007-3.6 mg L
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Registered trials
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