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综述:牛肉食用品质:欧洲之旅。

Review: Beef-eating quality: a European journey.

机构信息

Agri-Food and Biosciences Institute,Newforge Lane,Belfast,BT9 5PX,UK.

出版信息

Animal. 2018 Nov;12(11):2424-2433. doi: 10.1017/S1751731118001672. Epub 2018 Jul 13.

Abstract

This paper reviews recent research into predicting the eating qualities of beef. A range of instrumental and grading approaches have been discussed, highlighting implications for the European beef industry. Studies incorporating a number of instrumental and spectroscopic techniques illustrate the potential for online systems to non-destructively measure muscle pH, colour, fat and moisture content of beef with R 2 (coefficient of determination) values >0.90. Direct predictions of eating quality (tenderness, flavour, juiciness) and fatty acid content using these methods are also discussed though success is greatly variable. R 2 values for instrumental measures of tenderness have been quoted as high as 0.85 though R 2 values for sensory tenderness values can be as low as 0.01. Discriminant analysis models can improve prediction of variables such as pH and shear force, correctly classifying beef samples into categorical groups with >90% accuracy. Prediction of beef flavour continues to challenge researchers and the industry alike, with R 2 values rarely quoted above 0.50, regardless of instrumental or statistical analysis used. Beef grading systems such as EUROP and United States Department of Agriculture systems provide carcase classification and some indication of yield. Other systems attempt to classify the whole carcase according to expected eating quality. These are being supplemented by schemes such as Meat Standards Australia (MSA), based on consumer satisfaction for individual cuts. In Australia, MSA has grown steadily since its inception generating a 10% premium for the beef industry in 2015-16 of $187 million. There is evidence that European consumers would respond to an eating quality guarantee provided it is simple and independently controlled. A European beef quality assurance system might encompass environmental and nutritional measures as well as eating quality and would need to be profitable, simple, effective and sufficiently flexible to allow companies to develop their own brands.

摘要

本文综述了牛肉食用品质预测的最新研究进展。讨论了一系列仪器和分级方法,突出了其对欧洲牛肉产业的影响。一些结合了多种仪器和光谱技术的研究表明,在线系统具有非破坏性测量牛肉肌肉 pH 值、颜色、脂肪和水分含量的潜力,其决定系数(R 2)值>0.90。虽然成功的情况各不相同,但使用这些方法直接预测食用品质(嫩度、风味、多汁性)和脂肪酸含量也有所讨论。仪器测量嫩度的 R 2 值高达 0.85,而感官嫩度值的 R 2 值低至 0.01。判别分析模型可以提高对 pH 值和剪切力等变量的预测准确性,能够以>90%的准确率正确地将牛肉样本分类到类别组中。牛肉风味的预测仍然是研究人员和行业面临的挑战,无论使用的是仪器分析还是统计分析,R 2 值很少超过 0.50。欧盟和美国农业部等牛肉分级系统提供胴体分类和一定的产肉率指标。其他系统试图根据预期的食用品质对整个胴体进行分类。这些系统得到了澳大利亚肉类标准协会(MSA)等方案的补充,该方案基于消费者对单个切块的满意度。自成立以来,澳大利亚的 MSA 稳步增长,2015-16 年为牛肉行业带来了 1.87 亿美元的 10%溢价。有证据表明,欧洲消费者会对简单且独立控制的食用品质保证做出回应。一个欧洲牛肉质量保证系统可能包括环境和营养措施以及食用品质,并且需要盈利、简单、有效且足够灵活,以允许公司开发自己的品牌。

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