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Recent advances in rapid and nondestructive determination of fat content and fatty acids composition of muscle foods

机译:肌肉食品脂肪含量和脂肪酸组成的快速和无损测定近期进展

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摘要

Conventional methods for determining fat content and fatty acids (FAs) composition are generally based on the solvent extraction and gas chromatography techniques, respectively, which are time consuming, laborious, destructive to samples and require use of hazard solvents. These disadvantages make them impossible for large-scale detection or being applied to the production line of meat factories. In this context, the great necessity of developing rapid and nondestructive techniques for fat and FAs analyses has been highlighted. Measurement techniques based on near-infrared spectroscopy, Raman spectroscopy, nuclear magnetic resonance and hyperspectral imaging have provided interesting and promising results for fat and FAs prediction in varieties of foods. Thus, the goal of this article is to give an overview of the current research progress in application of the four important techniques for fat and FAs analyses of muscle foods, which consist of pork, beef, lamb, chicken meat, fish and fish oil. The measurement techniques are described in terms of their working principles, features, and application advantages. Research advances for these techniques for specific food are summarized in detail and the factors influencing their modeling results are discussed. Perspectives on the current situation, future trends and challenges associated with the measurement techniques are also discussed.
机译:用于测定脂肪含量和脂肪酸(FAS)组合物的常规方法通常分别基于溶剂萃取和气相色谱技术,这是对样品耗时,艰苦,破坏性的耗时,并且需要使用危险溶剂。这些缺点使得它们不可能大规模检测或应用于肉类工厂的生产线。在这种情况下,突出了对脂肪和FAS分析进行快速和无损技术的巨大必要性。基于近红外光谱,拉曼光谱,核磁共振和高光谱成像的测量技术为脂肪和FAS预测提供了有趣和有希望的食物预测。因此,本文的目标是概述目前在应用猪肉,牛肉,羊肉,鸡肉,鱼油和鱼油的四种重要脂肪和FAS分析的重要技术的研究进展情况。根据其工作原理,特征和应用优势来描述测量技术。详细概述了这些特定食品技术的研究进展,并讨论了影响其建模结果的因素。还讨论了目前情况,与测量技术相关的未来趋势和挑战的观点。

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