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一种基于生物质碳点嵌入荧光共价有机框架的用于可视化检测和去除α-二羰基化合物的比率型分子印迹传感器。

A Ratiometric Molecularly Imprinted Sensor for Visual Detection and Removal of α-Dicarbonyl Compounds Based on Biomass Carbon Dot-Embedded Fluorescent Covalent Organic Frameworks.

作者信息

He Jingbo, Chen Yunhai, Liu Huilin, Sun Baoguo

机构信息

Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, 11 Fucheng Road, Beijing 100048, China.

出版信息

ACS Sens. 2024 Jun 28;9(6):3338-3345. doi: 10.1021/acssensors.4c00665. Epub 2024 May 30.

Abstract

α-Dicarbonyl compounds (α-DCs) are important intermediate products during the thermal processing of foods and are closely related to the development of chronic diseases in the human body. However, there remains a significant gap in the availability of rapid detection methods for α-DCs. So, the ratiometric molecularly imprinted polymers (RCDs@GCOFs@MIPs) based on red-emitting biomass carbon dots (RCDs) and green-emitting fluorescent covalent organic frameworks (GCOFs) were constructed for the detection and removal of α-DCs in food processing. The ratiometric fluorescent sensors exhibited satisfactory detection and had good spiking recoveries in milk samples. And the excellent inhibition of pyrraline (PRL) by ratiometric fluorescent sensors was verified by simulating the milk pasteurization process. In addition, rapid onsite detection of α-DCs was achieved by recognizing the RGB value of the ratiometric fluorescence sensors via the smartphone. The ratiometric fluorescence sensors presented a new strategy for detecting and removing hazardous substances in food processing.

摘要

α-二羰基化合物(α-DCs)是食品热加工过程中的重要中间产物,与人体慢性疾病的发展密切相关。然而,α-DCs快速检测方法的可用性仍存在显著差距。因此,构建了基于红色发光生物质碳点(RCDs)和绿色发光荧光共价有机框架(GCOFs)的比率型分子印迹聚合物(RCDs@GCOFs@MIPs),用于食品加工中α-DCs的检测和去除。该比率型荧光传感器在牛奶样品中表现出令人满意的检测效果和良好的加标回收率。通过模拟牛奶巴氏杀菌过程,验证了比率型荧光传感器对吡咯赖氨酸(PRL)的优异抑制作用。此外,通过智能手机识别比率型荧光传感器的RGB值,实现了α-DCs的快速现场检测。比率型荧光传感器为食品加工中有害物质的检测和去除提供了一种新策略。

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