Plant Lipid Biotechnology Lab (PLBL), Department of Biotechnology Engineering, Faculty of Engineering Sciences, Ben Gurion University of the Negev, Beer Sheva 84105, Israel.
Biosensors (Basel). 2022 Apr 9;12(4):230. doi: 10.3390/bios12040230.
Food safety monitoring is highly important due to the generation of unhealthy components within many food products during harvesting, processing, storage, transportation and cooking. Current technologies for food safety analysis often require sample extraction and the modification of the complex chemical and morphological structures of foods, and are either time consuming, have insufficient component resolution or require costly and complex instrumentation. In addition to the detection of unhealthy chemical toxins and microbes, food safety needs further developments in (a) monitoring the optimal nutritional compositions in many different food categories and (b) minimizing the potential chemical changes of food components into unhealthy products at different stages from food production until digestion. Here, we review an efficient methodology for overcoming the present analytical limitations of monitoring a food's composition, with an emphasis on oxidized food components, such as polyunsaturated fatty acids, in complex structures, including food emulsions, using compact instruments for simple real-time analysis. An intelligent low-field proton NMR as a time domain (TD) NMR relaxation sensor technology for the monitoring of T (spin-spin) and T (spin-lattice) energy relaxation times is reviewed to support decision-making by producers, retailers and consumers in regard to food safety and nutritional value during production, shipping, storage and consumption.
食品安全监测非常重要，因为在收获、加工、储存、运输和烹饪过程中，许多食品会产生不健康的成分。目前用于食品安全分析的技术通常需要对食品进行样本提取，并对其复杂的化学和形态结构进行修改，这些技术要么耗时，要么组分分辨率不足，要么需要昂贵且复杂的仪器。除了检测不健康的化学毒素和微生物外，食品安全还需要进一步发展（a）监测许多不同食品类别中的最佳营养成分，（b）在从食品生产到消化的不同阶段，最大限度地减少食品成分潜在的化学变化转化为不健康产品的可能性。在这里，我们回顾了一种克服目前监测食品成分的分析限制的有效方法，重点是使用紧凑的仪器进行简单的实时分析，来监测复杂结构（包括食品乳液）中氧化食品成分（如多不饱和脂肪酸）。本文回顾了智能低场质子 NMR 作为时域 (TD) NMR 弛豫传感器技术，用于监测 T（自旋-自旋）和 T（自旋-晶格）能量弛豫时间，以支持生产者、零售商和消费者在生产、运输、储存和消费过程中对食品安全和营养价值做出决策。
