Prediction of retention data of phenolic compounds by quantitative structure retention relationship models under reverse-phase liquid chromatography-Reference-Cited by-同舟云学术

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Prediction of retention data of phenolic compounds by quantitative structure retention relationship models under reverse-phase liquid chromatography

Published:2024-08 Issue: Volume:1730 Page:465146
ISSN:0021-9673
Container-title:Journal of Chromatography A
language:en
Short-container-title:Journal of Chromatography A

Author:

Laganà Vinci Roberto^ORCID,Arena Katia^ORCID,Rigano Francesca^ORCID,Cacciola Francesco^ORCID,Dugo Paola,Mondello Luigi

Publisher

Elsevier BV

Reference25 articles.

1. Biosynthesis, chemistry, and pharmacology of polyphenols from chinese salvia species: a review;Wang;Molecules,2019

2. Research progress on classification, sources and functions of dietary polyphenols for prevention and treatment of chronic diseases;Li;J. Future Foods,2023

3. Plant polyphenols as dietary antioxidants in human health and disease;Pandey;Oxid. Med. Cell. Longev.,2009

4. Comprehensive two-dimensional liquid chromatography for polyphenol analysis in foodstuffs;Cacciola;J. Sep. Sci.,2017

5. Reversed phase versus hydrophilic interaction liquid chromatography as first dimension of comprehensive two-dimensional liquid chromatography systems for the elucidation of the polyphenolic content of food and natural products;Cacciola;J. Chromatogr. A,2021

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