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

IF 8.2 1区化学 Q1 CHEMISTRY, ANALYTICAL

ACS Sensors Pub Date : 2024-05-30 DOI:10.1021/acssensors.4c00665

Jingbo He, Yunhai Chen, Huilin Liu* and Baoguo Sun,

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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.

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基于生物质碳点嵌入式荧光共价有机框架的可视检测和去除 α-二羰基化合物的比率分子印迹传感器。

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生密切相关。然而，α-DCs 的快速检测方法仍然存在很大的空白。因此，我们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）的比率分子印迹聚合物（RCDs@GCOFs@MIPs），用于检测和去除食品加工过程中的α-DCs。该比率荧光传感器的检测效果令人满意，在牛奶样品中的加标回收率也很高。通过模拟牛奶巴氏杀菌过程，验证了比率荧光传感器对吡咯啉（PRL）的良好抑制作用。此外，通过智能手机识别比率荧光传感器的 RGB 值，实现了对α-DCs 的现场快速检测。比率荧光传感器为检测和清除食品加工过程中的有害物质提供了一种新策略。

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来源期刊

ACS Sensors Chemical Engineering-Bioengineering

CiteScore

14.50

自引率

3.40%

发文量

372

期刊介绍： ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.

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