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High pressure processing on microbial inactivation, quality parameters and nutritional quality indices of mackerel fillets

Published on May 1, 2019in Innovative Food Science and Emerging Technologies4.08
· DOI :10.1016/j.ifset.2019.05.010
María de Alba7
Estimated H-index: 7
(Teagasc),
María de Alba + 3 AuthorsBrijesh K. Tiwari46
Estimated H-index: 46
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Abstract
Abstract The objective of this study was to investigate the effect of high pressure processing (HPP) (100, 300 or 500 MPa for 2 or 5 min) on microbial inactivation, quality parameters and nutritional quality indices of mackerel fillets. A significant reduction in TVC and H 2 S-producing bacteria was detected at 300 MPa for 5 min and 500 MPa for 2 or 5 min. Lightness ( L *) increased and redness ( a *) decreased at the highest treatment intensities. Hardness, chewiness and springiness increased with the most intense treatments but neither cohesiveness nor TBARS values were affected by pressurization. HPP significantly decreased levels of EPA, PUFAs, HUFAs, DHA, CLAs and increased MUFAs and SFAs. TI significantly increased at the highest pressurization intensities and AI was affected when HPP was held for 5 min. However, the ratio PUFA/SFA above 0.45 in pressurized mackerel fillets indicated that HPP did not compromise the nutritional value of this pelagic fish. Industrial relevance The potential of HPP to inhibit spoilage and increase the shelf-life of mackerel fillets, while maintaining its quality and healthy attributes, could help the fish processing industry to ensure better quality raw material for further processing, thereby enabling the development of new, value-added products with extended shelf- life. The reduction in the processing time with the subsequent saving of energy compared to conventional thermal methods makes HPP a relatively energy efficient and suitable preservation treatment for the fish industry.
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References54
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#1Laura Otero (CSIC: Spanish National Research Council)H-Index: 23
#2Miriam Pérez-Mateos (CSIC: Spanish National Research Council)H-Index: 27
Last.M.E. López-Caballero (CSIC: Spanish National Research Council)H-Index: 27
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#1Fabiano Alves de Oliveira (CEFET-MG: Centro Federal de Educação Tecnológica de Minas Gerais)H-Index: 2
#2Otavio Cabral NetoH-Index: 2
Last.Amauri Rosenthal (Empresa Brasileira de Pesquisa Agropecuária)H-Index: 17
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#1Francisco J. Barba (University of Valencia)H-Index: 37
#2Mohamed Koubaa (University of Paris)H-Index: 22
Last.A. de S. Sant'Ana (State University of Campinas)H-Index: 30
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