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Cited by 406

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Edible Coatings for Fresh-Cut Fruits

Olivas, G. I., Barbosa-Cánovas, G. V.·2005·Critical Reviews in Food Science and Nutrition

Abstract

The production of fresh-cut fruits is increasingly becoming an important task as consumers are more aware of the importance of healthy eating habits, and have less time for food preparation. A fresh-cut fruit is a fruit that has been physically altered from its original state (trimmed, peeled, washed and/or cut), but remains in a fresh state. Unfortunately since fruits have living tissue, they undergo enzymatic browning, texture decay, microbial contamination, and undesirable volatile production, highly reducing their shelf life if they are in any way wounded. Edible coatings can be used to help in the preservation of minimally processed fruits, providing a partial barrier to moisture, oxygen and carbon dioxide, improving mechanical handling properties, carrying additives, avoiding volatiles loss, and even contributing to the production of aroma volatiles.

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Crossref · 10.1080/10408690490911837

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Metadata

Authors
Olivas, G. I., & Barbosa-Cánovas, G. V.
Venue
Critical Reviews in Food Science and Nutrition
Published
2005-10
Volume
45
Issue
7-8
Pages
657-670
ISSN
  • 1040-8398 (ISSN-L)
  • 1549-7852
OpenAlex
W2111823027
Cited by
406
References
42
FWCI
8.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Edible Coatings for Fresh-Cut Fruits. https://app.cochat.ai/papers/10.1080/10408690490911837
The paper
Olivas, G. I., & Barbosa-Cánovas, G. V. (2005). Edible Coatings for Fresh-Cut Fruits. Critical Reviews in Food Science and Nutrition. https://doi.org/10.1080/10408690490911837

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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.