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基于碳点的比率荧光传感平台用于食品安全。

Carbon dots based ratiometric fluorescent sensing platform for food safety.

机构信息

College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, PR China.

Laboratory of Quality & Safety Risk Assessment for Agro-products (Yangling), Ministry of Agriculture, Yangling, Shaanxi, PR China.

出版信息

Crit Rev Food Sci Nutr. 2022;62(1):244-260. doi: 10.1080/10408398.2020.1814197. Epub 2020 Sep 2.

Abstract

Food safety has become a major global concern and the rapid detection of food nutritional ingredients and contaminants has aroused much more attention. Nanomaterials-based fluorescent sensing holds great potential in designing highly sensitive and selective detection strategies for food safety analysis. Carbon dots (CDs) possess tremendous prospects in fluorescent sensing food ingredients and contaminants due to their superior properties of chemical and photostability, highly fluorescence with tunability, and no/low-toxicity. Numerous endeavors are demanded to contribute to overcoming the challenge of lower sensitivity and selectivity of the sensors interfered by various components in intricate food matrices to ensure food safety and human health. Nanohybrid CDs based ratiometric fluorescent sensing with self-calibration is regarded as an efficient strategy for the CDs based sensors for the specific recognition of target analyte in the food matrices. This work is devoted to reviewing the development of nanohybrid CDs based ratiometric fluorescent sensing platform and the perspectives of the platform for food safety. The applications of nanohybrid CDs in sensing are summarized and the sensing mechanisms are briefly discussed.

摘要

食品安全已成为一个全球性的主要关注点,快速检测食品营养成分和污染物引起了更多的关注。基于纳米材料的荧光传感在设计用于食品安全分析的高灵敏度和选择性检测策略方面具有巨大的潜力。由于其化学和光稳定性优异、荧光可调谐且无/低毒性等特点,碳点 (CDs) 在荧光传感食品成分和污染物方面具有广阔的前景。为了克服传感器因复杂食品基质中各种成分的干扰而导致的灵敏度和选择性较低的挑战,需要进行大量的努力,以确保食品安全和人类健康。基于纳米杂化 CD 的比率荧光传感具有自校准功能,被认为是用于食品基质中目标分析物特异性识别的 CD 基传感器的有效策略。这项工作致力于综述基于纳米杂化 CD 的比率荧光传感平台的发展以及该平台在食品安全方面的应用前景。总结了纳米杂化 CD 在传感中的应用,并简要讨论了传感机制。

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