AI One-Click Processing-Assisted Nanozyme-Based Fluorescence Capillary Imprinted Sensor Array for Microvolume Rapid Discrimination Antidepressants
Qin Zhou, Xiangni Wang, X. Shirley Liu, Jianmei Wu, Qiuyu Wu, Ruoyan Wang, Yan Liang, Huibin Lei, Zhaoxia Yang, Zhaohui Zhang
Abstract
The increasing global demand for antidepressants (ADs) has led to their widespread presence in wastewater and aquatic environments, posing risks to ecosystems and human health. In this study, a nanozyme fluorescence capillary imprinted sensor array combined with fluorescence mode and artificial intelligence (AI) one-click processing fluorescence image mode was developed for the rapid visual discrimination and quantification of five ADs (imipramine, citalopram, clomipramine, amitriptyline, and sertraline). Benefiting from the differential recognition of molecularly imprinted polymers with the high sensitivity of nanozyme, two imprinted polymers on the surface of nanozymes were prepared as two sensing units by the sol-gel method. The sensor array was constructed by siphoning the imprinted polymers into a capillary, enabling distinct response signals and color changes for recognition of five ADs only consuming 18 μL/time to generate fingerprint images. By coupling fluorescence detection with AI one-click image processing, the proposed sensor array achieves high-performance recognition of five ADs within 7 min with a 100% overall accuracy. With the lower detection limit for identification of five ADs, the nanozyme fluorescence capillary imprinted sensor array was successfully employed for the discrimination of unknown samples in lake water and hospital sewage and freeze-dried with an accuracy of 90.5%. With the advantage of high sensitivity and low reagent consumption, the nanozyme fluorescence capillary imprinted sensor array provides a new strategy for the rapid detection of ADs in trace multipollutant environmental samples.