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Cited by 247

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

High Pressure Treatment Effect on Physicochemical and Nutritional Properties of Fluid Foods During Storage: A Review

Barba, Francisco J., Esteve, María J., Frígola, Ana·2012·Comprehensive Reviews in Food Science and Food Safety

Abstract

Abstract: Consumers demand foods that are easy to consume and that are of high nutritional and sensory quality. Therefore, they appreciate the similarity of minimally processed products to fresh products. In recent years, the food industry has shown increased interest in nonthermal preservation technologies, because they provide products of proven quality and can be an alternative to traditional thermal methods, thus increasing added value. This review examines the effects of high pressure processing (HPP) on the nutritional and physicochemical parameters of fluid foods. While some general trends can be observed, the effects of HPP differ not only according to treatment intensity, but also according to the food matrix, suggesting that each matrix should be studied separately.

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Crossref · 10.1111/j.1541-4337.2012.00185.x

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Metadata

Authors
Barba, F. J., Esteve, M. J., & Frígola, A.
Venue
Comprehensive Reviews in Food Science and Food Safety
Publisher
Wiley
Published
2012-04-09
Volume
11
Issue
3
Pages
307-322
ISSN
1541-4337 (ISSN-L)
OpenAlex
W2146675914
Cited by
247
References
1
FWCI
12.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: High Pressure Treatment Effect on Physicochemical and Nutritional Properties of Fluid Foods During Storage: A Review. https://app.cochat.ai/papers/10.1111/j.1541-4337.2012.00185.x
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Barba, F. J., Esteve, M. J., & Frígola, A. (2012). High Pressure Treatment Effect on Physicochemical and Nutritional Properties of Fluid Foods During Storage: A Review. Comprehensive Reviews in Food Science and Food Safety. https://doi.org/10.1111/j.1541-4337.2012.00185.x

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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.