Zhu Wenqian, Cao Wenwen, Chen Rui, Zhang Zhen, Pang Chaohai, Yi Zhongsheng, Li Shuhuai, Ma Xionghui, Li Jianping
Guangxi Key laboratory of Electrochemical and Magnetochemical Function Materials, College of Chemistry and Bioengineering, Guilin University of Technology, Guilin 541004, China.
Analysis and Test Center, Chinese Academy of Tropical Agricultural Sciences, Hainan Provincial Key Laboratory of Quality and Safety for Tropical Fruits and Vegetables, Haikou 570311, China.
Food Chem. 2025 Sep 1;485:144487. doi: 10.1016/j.foodchem.2025.144487. Epub 2025 Apr 28.
Acrylamide (AAm), a carcinogenic by-product formed during food processing, presents significant health concerns. Here, we developed an innovative photoelectrochemical (PEC) sensor for ultra-sensitive AAm detection, based on a framework-targeted affinity strategy. Utilizing a metal-coordinated porphyrin-based covalent organic framework (TT-Por(Co)-COF) as the capture layer, the sensor leverages thiophene units to enhance charge transport and selectively adsorb AAm. Independent Gradient Model (IGMH) analysis confirmed two weak interaction regions, predominantly hydrogen bonding and van der Waals forces, between AAm and the TT units. Signal amplification is achieved using CdTe quantum dots functionalized with an AAm-specific aptamer. Upon AAm binding, the aptamer facilitates QD accumulation, significantly enhancing photocurrent for precise quantification. Under optimized conditions, the sensor exhibited excellent analytical performance with a linear range from 1 pM to 1000 nM and a detection limit of 0.19 pM (3σ/S, n = 11). offering a promising solution for real-time food safety monitoring.
丙烯酰胺(AAm)是食品加工过程中形成的一种致癌副产物,对健康构成重大威胁。在此,我们基于框架靶向亲和策略开发了一种用于超灵敏检测AAm的创新型光电化学(PEC)传感器。该传感器利用基于金属配位卟啉的共价有机框架(TT-Por(Co)-COF)作为捕获层,借助噻吩单元增强电荷传输并选择性吸附AAm。独立梯度模型(IGMH)分析证实了AAm与TT单元之间存在两个主要为氢键和范德华力的弱相互作用区域。使用用AAm特异性适配体功能化的碲化镉量子点实现信号放大。当AAm结合时,适配体促进量子点积累,显著增强光电流以进行精确定量。在优化条件下,该传感器表现出优异的分析性能,线性范围为1 pM至1000 nM,检测限为0.19 pM(3σ/S,n = 11),为实时食品安全监测提供了一种有前景的解决方案。