School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L8, Canada.
Department of Medicine, McMaster University, 1280 Main Street West, Hamilton, ON L8N 3Z5, Canada.
Adv Mater. 2024 Jan;36(1):e2300875. doi: 10.1002/adma.202300875. Epub 2023 Nov 1.
Despite extensive commercial and regulatory interventions, food spoilage and contamination continue to impose massive ramifications on human health and the global economy. Recognizing that such issues will be significantly eliminated by the accurate and timely monitoring of food quality markers, smart food sensors have garnered significant interest as platforms for both real-time, in-package food monitoring and on-site commercial testing. In both cases, the sensitivity, stability, and efficiency of the developed sensors are largely informed by underlying material design, driving focus toward the creation of advanced materials optimized for such applications. Herein, a comprehensive review of emerging intelligent materials and sensors developed in this space is provided, through the lens of three key food quality markers - biogenic amines, pH, and pathogenic microbes. Each sensing platform is presented with targeted consideration toward the contributions of the underlying metallic or polymeric substrate to the sensing mechanism and detection performance. Further, the real-world applicability of presented works is considered with respect to their capabilities, regulatory adherence, and commercial potential. Finally, a situational assessment of the current state of intelligent food monitoring technologies is provided, discussing material-centric strategies to address their existing limitations, regulatory concerns, and commercial considerations.
尽管进行了广泛的商业和监管干预,但食品变质和污染仍然对人类健康和全球经济造成了巨大影响。认识到通过准确和及时监测食品质量标志物可以显著消除这些问题,智能食品传感器作为实时、包装内食品监测和现场商业测试的平台引起了极大的关注。在这两种情况下,开发的传感器的灵敏度、稳定性和效率在很大程度上取决于基础材料设计,这促使人们关注为这些应用优化的先进材料的创造。本文通过三个关键的食品质量标志物——生物胺、pH 值和致病微生物,提供了对该领域新兴智能材料和传感器的全面综述。每个传感平台都针对基础金属或聚合物基底对传感机制和检测性能的贡献进行了有针对性的考虑。此外,还考虑了所提出的工作的实际应用,包括它们的能力、法规遵从性和商业潜力。最后,对智能食品监测技术的现状进行了情境评估,讨论了以材料为中心的策略来解决它们现有的局限性、监管问题和商业考虑。