先进光学技术在食品质量和废物管理中的应用

J. Chauvin, Ray B. Duran, Stanley Ng, Thomas Burke, Kenneth Barton, N. Mackinnon, K. Tavakolian, A. Akhbardeh, F. Vasefi
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引用次数: 0

摘要

食物浪费是一个全球性问题,很大程度上是由于食物过早变质造成的。海鲜特别容易被浪费,因为它很容易变质。在2009年至2013年期间,每年运往美国市场的47亿磅海鲜中,有40%至47%最终成为废物。这一问题在很大程度上是由于缺乏可用的技术来实现从船上或农场到餐桌的食品快速、准确和可靠的定价。幸运的是,最近光谱传感技术和光谱分析的进步显示出解决这个问题的希望。这些进步不仅可以帮助解决全球贫困地区的饥饿问题,而且还可以通过基于预计保质期的食品智能定价使普通消费者受益。加强信任和合规性的其他技术(例如,区块链)可以通过在食品供应链的所有点维护腐败状况和其他质量验证的记录,进一步防止食品欺诈,并在合同履行和责任归属方面提供更高的透明度。在本章中,我们讨论了使手持式光谱设备的发展成为可能的技术,用于检测食品腐败。我们还讨论了一些基于光谱测量来分类和量化腐败的分析方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced Optical Technologies in Food Quality and Waste Management
Food waste is a global problem caused in large part by premature food spoilage. Seafood is especially prone to food waste because it spoils easily. Of the annual 4.7 billion pounds of seafood destined for U.S. markets between 2009 and 2013, 40 to 47 percent ended up as waste. This problem is due in large part to a lack of available technologies to enable rapid, accurate, and reliable valorization of food products from boat or farm to table. Fortunately, recent advancements in spectral sensing technologies and spectroscopic analyses show promise for addressing this problem. Not only could these advancements help to solve hunger issues in impoverished regions of the globe, but they could also benefit the average consumer by enabling intelligent pricing of food products based on projected shelf life. Additional technologies that enforce trust and compliance (e.g., blockchain) could further serve to prevent food fraud by maintaining records of spoilage conditions and other quality validation at all points along the food supply chain and provide improved transparency as regards contract performance and attribution of liability. In this chapter we discuss technologies that have enabled the development of hand-held spectroscopic devices for detecting food spoilage. We also discuss some of the analytical methods used to classify and quantify spoilage based on spectral measurements.
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