Yapeng Li,Qinghong Pan,Huiting Shi,Youyou Du,Ailing Yang,Da-Peng Yang
The quantitative determination of cholesterol in foods, drugs, and biological fluids holds significant importance due to its potential health risks. Herein, a self-powered photoelectrochemical (PEC) sensor was developed for cholesterol detection. The photoelectrochemical system was constructed by modifying fluorine-doped tin oxide (FTO) electrodes with ZnO/C (serving as the photoanode) and iron-modified CuBi 2 O 4 (denoted as CBFO, functioning as the photocathode) through a controlled deposition process. To enhance detection selectivity, molecularly imprinted polymers (MIPs) were electrodeposited on the photocathode surface. The optimized sensor exhibited a linear detection range of 1–1000 nmol L −1 and a detection limit of 0.26 nmol L −1 (S/N = 3). Practical application of the sensor for cholesterol detection in milk samples demonstrated satisfactory recovery rates (98.6 %–107 %) with relative standard deviations (RSD) ranging from 2.38 % to 4.25 %. These results underscore the potential of this self-powered PEC sensor as a robust platform for rapid and accurate cholesterol determination in food products, pharmaceuticals, and environmental samples.
ABSTRACT Quantitative determination of tetracycline (TC) in environment and foods is of great importance, as excessive residues might have negative effects on human health and environmental risks. Herein, a self-powered molecularly imprinted photoelectrochemical (PEC) sensor based on the ZnO/C photoanode and the Fe-doped CuBi 2 O 4 (CBFO) photocathode is developed for the sensitive detection of TC. The photocathodic current can be amplified by the efficient electron transfer caused by the Fermi energy level gap between the photoanode and photocathode. Furthermore, molecularly imprinted polymers (MIPs) at photocathode can selectivity identify the TC templates and thus improve the specificity. Under the optimal conditions, the sensor has a linear range of 10 ‒2 -1.0 × 10 5 nmol/L, and a limit of detection (LOD) of 0.007 nmol/L (S/N = 3). More crucially, the milk sample detection is carried out using the as-prepared sensor, and the outcome is satisfactory. The research gives us a novel sensing platform for quick and accurate antibiotic (like TC) in environment and food monitoring.
危险品化学品经营许可证（带存储）