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Sensing Technology for Fish Freshness and Safety: A Review

Standard analytical methods for fish freshness assessment are based on the measurement of chemical and physical attributes related to fish appearance, color, meat elasticity or texture, odor, and taste. These methods have plenty of disadvantages, such as being destructive, expensive, and time consum...

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Detalles Bibliográficos
Autores principales: Franceschelli, Leonardo, Berardinelli, Annachiara, Dabbou, Sihem, Ragni, Luigi, Tartagni, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919655/
https://www.ncbi.nlm.nih.gov/pubmed/33669188
http://dx.doi.org/10.3390/s21041373
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author Franceschelli, Leonardo
Berardinelli, Annachiara
Dabbou, Sihem
Ragni, Luigi
Tartagni, Marco
author_facet Franceschelli, Leonardo
Berardinelli, Annachiara
Dabbou, Sihem
Ragni, Luigi
Tartagni, Marco
author_sort Franceschelli, Leonardo
collection PubMed
description Standard analytical methods for fish freshness assessment are based on the measurement of chemical and physical attributes related to fish appearance, color, meat elasticity or texture, odor, and taste. These methods have plenty of disadvantages, such as being destructive, expensive, and time consuming. All these techniques require highly skilled operators. In the last decade, rapid advances in the development of novel techniques for evaluating food quality attributes have led to the development of non-invasive and non-destructive instrumental techniques, such as biosensors, e-sensors, and spectroscopic methods. The available scientific reports demonstrate that all these new techniques provide a great deal of information with only one test, making them suitable for on-line and/or at-line process control. Moreover, these techniques often require little or no sample preparation and allow sample destruction to be avoided.
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spelling pubmed-79196552021-03-02 Sensing Technology for Fish Freshness and Safety: A Review Franceschelli, Leonardo Berardinelli, Annachiara Dabbou, Sihem Ragni, Luigi Tartagni, Marco Sensors (Basel) Review Standard analytical methods for fish freshness assessment are based on the measurement of chemical and physical attributes related to fish appearance, color, meat elasticity or texture, odor, and taste. These methods have plenty of disadvantages, such as being destructive, expensive, and time consuming. All these techniques require highly skilled operators. In the last decade, rapid advances in the development of novel techniques for evaluating food quality attributes have led to the development of non-invasive and non-destructive instrumental techniques, such as biosensors, e-sensors, and spectroscopic methods. The available scientific reports demonstrate that all these new techniques provide a great deal of information with only one test, making them suitable for on-line and/or at-line process control. Moreover, these techniques often require little or no sample preparation and allow sample destruction to be avoided. MDPI 2021-02-16 /pmc/articles/PMC7919655/ /pubmed/33669188 http://dx.doi.org/10.3390/s21041373 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Franceschelli, Leonardo
Berardinelli, Annachiara
Dabbou, Sihem
Ragni, Luigi
Tartagni, Marco
Sensing Technology for Fish Freshness and Safety: A Review
title Sensing Technology for Fish Freshness and Safety: A Review
title_full Sensing Technology for Fish Freshness and Safety: A Review
title_fullStr Sensing Technology for Fish Freshness and Safety: A Review
title_full_unstemmed Sensing Technology for Fish Freshness and Safety: A Review
title_short Sensing Technology for Fish Freshness and Safety: A Review
title_sort sensing technology for fish freshness and safety: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919655/
https://www.ncbi.nlm.nih.gov/pubmed/33669188
http://dx.doi.org/10.3390/s21041373
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