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Emerging Approach for Fish Freshness Evaluation: Principle, Application and Challenges

期刊

FOODS
卷 11, 期 13, 页码 -

出版社

MDPI
DOI: 10.3390/foods11131897

关键词

visual indicators; active sensors; spectroscopic techniques; nondestructive; fish freshness

资金

  1. National Key Research and Development Program [2019YFD0901705]

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Fish are highly perishable and efficient evaluation of fish freshness has received increasing attention. Conventional freshness assessment techniques have shortcomings, and recently emerging approaches such as sensors and spectroscopic techniques have shown great potential. Non-destructive techniques respond to characteristic substances produced by fish during spoilage and are suitable for online or large-scale operations.
Affected by micro-organisms and endogenous enzymes, fish are highly perishable during storage, processing and transportation. Efficient evaluation of fish freshness to ensure consumer safety and reduce raw material losses has received an increasing amount of attention. Several of the conventional freshness assessment techniques have plenty of shortcomings, such as being destructive, time-consuming and laborious. Recently, various sensors and spectroscopic techniques have shown great potential due to rapid analysis, low sample preparation and cost-effectiveness, and some methods are especially non-destructive and suitable for online or large-scale operations. Non-destructive techniques typically respond to characteristic substances produced by fish during spoilage without destroying the sample. In this review, we summarize, in detail, the principles and applications of emerging approaches for assessing fish freshness including visual indicators derived from intelligent packaging, active sensors, nuclear magnetic resonance (NMR) and optical spectroscopic techniques. Recent developments in emerging technologies have demonstrated their advantages in detecting fish freshness, but some challenges remain in popularization, optimizing sensor selectivity and sensitivity, and the development of algorithms and chemometrics in spectroscopic techniques.

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