Department of Electrical, Electronic and Information Engineering, Guglielmo Marconi-University of Bologna, Via Dell'Università, 50, 47521 Cesena, Italy.
Department of Industrial Engineering, University of Trento, Via Sommarive, 9, Povo, 38123 Trento, Italy.
Sensors (Basel). 2021 Feb 16;21(4):1373. doi: 10.3390/s21041373.
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.
用于鱼类新鲜度评估的标准分析方法基于测量与鱼类外观、颜色、肉质弹性或质地、气味和味道相关的化学和物理属性。这些方法有很多缺点,例如具有破坏性、昂贵且耗时。所有这些技术都需要高度熟练的操作人员。在过去的十年中,用于评估食品质量属性的新型技术的快速发展导致了非侵入性和非破坏性仪器技术的发展,例如生物传感器、电子传感器和光谱方法。现有的科学报告表明,所有这些新技术仅通过一次测试就提供了大量信息,使它们适合在线和/或在线过程控制。此外,这些技术通常只需要很少或不需要样品制备,并允许避免样品破坏。