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Cited by 572

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Antioxidants: Characterization, natural sources, extraction and analysis

Open access
Oroian, Mircea, Escriche, Isabel·2015·Food Research International

Abstract

Recently many review papers regarding antioxidants from different sources and different extraction and quantification procedures have been published. However none of them has all the information regarding antioxidants (chemistry, sources, extraction and quantification). This article tries to take a different perspective on antioxidants for the new researcher involved in this field. Antioxidants from fruit, vegetables and beverages play an important role in human health, for example preventing cancer and cardiovascular diseases, and lowering the incidence of different diseases. In this paper the main classes of antioxidants are presented: vitamins, carotenoids and polyphenols. Recently, many analytical methodologies involving diverse instrumental techniques have been developed for the extraction, separation, identification and quantification of these compounds. Antioxidants have been quantified by different researchers using one or more of these methods: in vivo, in vitro, electrochemical, chemiluminescent, electron spin resonance, chromatography, capillary electrophoresis, nuclear magnetic resonance, near infrared spectroscopy and mass spectrometry methods.

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Crossref · 10.1016/j.foodres.2015.04.018

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Metadata

Authors
Oroian, M., & Escriche, I.
Venue
Food Research International
Publisher
Elsevier BV
Published
2015-08
Volume
74
Pages
10-36
ISSN
0963-9969 (ISSN-L)
OpenAlex
W2022806015
Cited by
572
References
14
FWCI
31.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Antioxidants: Characterization, natural sources, extraction and analysis. https://app.cochat.ai/papers/10.1016/j.foodres.2015.04.018
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Oroian, M., & Escriche, I. (2015). Antioxidants: Characterization, natural sources, extraction and analysis. Food Research International. https://doi.org/10.1016/j.foodres.2015.04.018

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.