Novel applications of infrared technologies in dairy industry

Marchi de Massimo, A. Costa, A. Goi, M. Penasa, L Carmen Manuelian
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引用次数: 2

Abstract

Dairy industry is economically relevant in many countries, and milk and its derived products are important sources of nutrients both in developed and developing countries. Thus, the dairy industry is interested in the application of rapid and cost-effective technologies for raw product evaluation, processing control and labeling. One of the most widespread technologies for milk and dairy product analysis is the infrared spectroscopy, mainly in the mid-infrared (MIRS) and near-infrared (NIRS) spectra regions. Other than standard composition, the assessment of milk technological traits is of particular interest in Europe and, traditionally, milk coagulation traits and acidity, milk protein and mineral composition have been determined using time-consuming laboratory methods. Recently, the development of specific MIRS prediction models for such milk traits has allowed the collection of coagulation information at herd and population level for milk quality payment and genetic selection purposes, respectively. Therefore, MIRS technology offers the possibility to conduct largescale phenotypic, genetic and genomic studies, even through a posteriori prediction using historical milk spectra stored in the laboratories. Cheese provides essential nutrients such as fatty acids, minerals and vitamins, and its consumption in Europe has grown in the last decade. Nevertheless, due to the negative consequences of the Western diet on the cardiovascular system mainly related to the excessive intake of saturated fatty acids and sodium, the declaration of salt and saturated fatty acids contents in the product’s label has become mandatory. In the last years, the dairy industry has successfully developed and implemented NIRS prediction models for at-line and inexpensive quantification of minerals and fatty acids of commercial cheeses in order to quickly incorporate this information on the label of dairy products. The development of MIRS and NIRS prediction models for milk and cheese traits has opened new opportunities in the field of dairy products, spanning from genetic selection to technological efficiency.
红外技术在乳品工业中的新应用
乳业在许多国家具有经济意义,牛奶及其衍生产品在发达国家和发展中国家都是重要的营养来源。因此,乳制品行业对应用快速和具有成本效益的技术进行原料产品评估、加工控制和标签很感兴趣。红外光谱是牛奶和乳制品分析中应用最广泛的技术之一,主要集中在中红外(MIRS)和近红外(NIRS)光谱区域。除了标准成分外,欧洲对牛奶技术特性的评估特别感兴趣,传统上,牛奶的凝固特性和酸度、牛奶蛋白质和矿物质成分都是使用耗时的实验室方法确定的。最近,针对这些牛奶性状的特异性MIRS预测模型的发展,使得在群体和群体水平上收集凝血信息分别用于牛奶质量支付和遗传选择目的。因此,MIRS技术提供了进行大规模表型、遗传和基因组研究的可能性,甚至可以通过使用存储在实验室中的历史牛奶光谱进行后验预测。奶酪提供必需的营养物质,如脂肪酸、矿物质和维生素,在欧洲,奶酪的消费量在过去十年中有所增长。然而,由于西方饮食对心血管系统的负面影响主要与饱和脂肪酸和钠的过量摄入有关,因此在产品标签上声明盐和饱和脂肪酸的含量已成为强制性的。在过去的几年里,乳制品行业已经成功地开发和实施了近红外光谱预测模型,用于在线和廉价的商业奶酪矿物质和脂肪酸定量,以便快速将这些信息纳入乳制品的标签上。牛奶和奶酪性状的MIRS和NIRS预测模型的发展为乳制品领域从遗传选择到技术效率的发展开辟了新的机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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