a Université d'Artois, Institut Régional en Agroalimentaire et Biotechnologie Charles Violette, Equipe Qualité et Sécurité des Aliments (QSA), Unité Ingénierie de Formulation des Aliments et Altération (IFAA), Faculté des Sciences Jean-Perrin , Lens , France.
Crit Rev Food Sci Nutr. 2017 Jun 13;57(9):1976-1998. doi: 10.1080/10408398.2015.1047926.
Although being one of the most vulnerable and perishable products, fish and other seafoods provide a wide range of health-promoting compounds. Recently, the growing interest of consumers in food quality and safety issues has contributed to the increasing demand for sensitive and rapid analytical technologies. Several traditional physicochemical, textural, sensory, and electrical methods have been used to evaluate freshness and authentication of fish and other seafood products. Despite the importance of these standard methods, they are expensive and time-consuming, and often susceptible to large sources of variation. Recently, spectroscopic methods and other emerging techniques have shown great potential due to speed of analysis, minimal sample preparation, high repeatability, low cost, and, most of all, the fact that these techniques are noninvasive and nondestructive and, therefore, could be applied to any online monitoring system. This review describes firstly and briefly the basic principles of multivariate data analysis, followed by the most commonly traditional methods used for the determination of the freshness and authenticity of fish and other seafood products. A special focus is put on the use of rapid and nondestructive techniques (spectroscopic techniques and instrumental sensors) to address several issues related to the quality of these products. Moreover, the advantages and limitations of each technique are reviewed and some perspectives are also given.
尽管鱼类和其他海产品是最脆弱和易腐的产品之一,但它们提供了广泛的促进健康的化合物。最近,消费者对食品质量和安全问题的兴趣日益浓厚,导致对敏感和快速分析技术的需求不断增加。已经使用了几种传统的物理化学、质地、感官和电气方法来评估鱼类和其他海产品的新鲜度和真实性。尽管这些标准方法很重要,但它们昂贵且耗时,并且经常容易受到大量变化的影响。最近,由于分析速度快、样品制备简单、重复性高、成本低,最重要的是,这些技术是非侵入性和非破坏性的,因此可以应用于任何在线监测系统,光谱方法和其他新兴技术显示出巨大的潜力。本综述首先简要描述了多元数据分析的基本原理,然后介绍了最常用于确定鱼类和其他海产品新鲜度和真实性的传统方法。特别关注快速和非破坏性技术(光谱技术和仪器传感器)在解决与这些产品质量相关的几个问题方面的应用。此外,还回顾了每种技术的优点和局限性,并给出了一些展望。