Damez Jean-Louis, Clerjon Sylvie
INRA, UR370 QuaPA, F-63122 Saint Genès Champanelle, France.
Meat Sci. 2008 Sep;80(1):132-49. doi: 10.1016/j.meatsci.2008.05.039. Epub 2008 Jun 6.
This paper overviews the biophysical methods developed to gain access to meat structure information. The meat industry needs reliable meat quality information throughout the production process in order to guarantee high-quality meat products for consumers. Fast and non-invasive sensors will shortly be deployed, based on the development of biophysical methods for assessing meat structure. Reliable meat quality information (tenderness, flavour, juiciness, colour) can be provided by a number of different meat structure assessment either by means of mechanical (i.e., Warner-Bratzler shear force), optical (colour measurements, fluorescence) electrical probing or using ultrasonic measurements, electromagnetic waves, NMR, NIR, and so on. These measurements are often used to construct meat structure images that are fusioned and then processed via multi-image analysis, which needs appropriate processing methods. Quality traits related to mechanical properties are often better assessed by methods that take into account the natural anisotropy of meat due to its relatively linear myofibrillar structure. Biophysical methods of assessment can either measure meat component properties directly, or calculate them indirectly by using obvious correlations between one or several biophysical measurements and meat component properties. Taking these calculations and modelling the main relevant biophysical properties involved can help to improve our understanding of meat properties and thus of eating quality.
本文概述了为获取肉类结构信息而开发的生物物理方法。肉类行业在整个生产过程中都需要可靠的肉质信息,以确保为消费者提供高质量的肉类产品。基于用于评估肉类结构的生物物理方法的发展,快速且非侵入性的传感器很快将得到应用。许多不同的肉类结构评估方法都可以提供可靠的肉质信息(嫩度、风味、多汁性、颜色),这些方法包括机械方法(如沃纳-布拉茨勒剪切力)、光学方法(颜色测量、荧光)、电探测或使用超声波测量、电磁波、核磁共振、近红外等。这些测量通常用于构建肉类结构图像,这些图像经过融合后再通过多图像分析进行处理,这需要适当的处理方法。由于肉类相对线性的肌原纤维结构,考虑到其天然各向异性的方法通常能更好地评估与机械性能相关的质量特性。生物物理评估方法既可以直接测量肉类成分特性,也可以通过利用一种或几种生物物理测量与肉类成分特性之间的明显相关性来间接计算它们。进行这些计算并对所涉及的主要相关生物物理特性进行建模,有助于提高我们对肉类特性的理解,进而提高对食用品质的理解。