Proanthocyanidin content in foods is largely underestimated in the literature data: An approach to quantification of the missing proanthocyanidins

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 2009 English Publisher:Elsevier BVJournal:Food Research International, volume 42, pages 1,381-1,388 (issn: 0963-9969,

Copyright policy )

Authors: Pérez-Jiménez, Jara; Arranz, Sara; Saura Calixto, Fulgencio D.;

doi: 10.1016/j.foodres.2009.07.002

handle: 10261/83180

Proanthocyanidin content in foods is largely underestimated in the literature data: An approach to quantification of the missing proanthocyanidins

- Summary
- Subjects
- Metrics

Abstract

The content of proanthocyanidins (PA) in foods is usually determined by HPLC analysis of aqueous-organic extracts. However, the appreciable amounts of PA that remain in the residues of extraction usually are not considered for analysis. Attempts to determine these non-extractable proanthocyanidins (NEPA) by enzymatic-chemical methods have obtained partial results. The general aim of this work was the estimation of the total content of PA, including both extractable PA (EPA) and NEPA in some foods included in the USDA database. A specific procedure based on depolymerization by HCl/BuOH treatment was used to quantify NEPA. The content of NEPA in analyzed samples ranged from 11 mg/100 g for pear to 6.7 g/100 g dry weight for red grape pomace. The results showed that literature data underestimate the actual content of PA in foods. NEPA may have a significant contribution to the healthy effects associated to PA-rich foods and diets. © 2009 Elsevier Ltd. All rights reserved.

This work is supported by the Spanish Ministry of Innovation and Science (project AGL2008-02541-ALI).

8 páginas, 2 figuras, 7 tablas.

Peer reviewed

Related Organizations

Spanish National Research Council
Spain

Keywords

Food polyphenols, Condensed tannins, Non-extractable proanthocyanidins, Extractable proanthocyanidins

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	127
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%