Gold Nanocluster-Based Fluorescent Sensor Array for Antibiotic Sensing and Identification

Antibiotic contamination has become a serious global problem due to abuse and misuse. Therefore, it is important to develop an efficient detection method to monitor the rational use of antibiotics. In this study, fluorescent gold nanoclusters with 11-mercaptoundecanoic acid as ligands (MUA-AuNCs) were synthesized by a one-step method firstly. Rare earth ions (Re3+) can enhance the fluorescence of MUA-AuNCs through inducing the aggregation of MUA-AuNCs, but antibiotics decrease the fluorescence of the Re3+-MUA-AuNCs to different degrees through coordination with Re3+ and competitive absorption with AuNCs. Therefore, a sensor array was obtained on the basis of the above mechanism, which can detect and discriminate six different antibiotics with a detection range from 40 to 300 & mu;M. A 100% correct classification was achieved. The fluorescent sensor array showed high selectivity for tetracycline antibiotics and good anti-interference performance was demonstrated. Combined with pattern recognition methods, the proposed sensor array can be used for the discrimination of different antibiotics and binary antibiotic mixtures. Furthermore, the excellent performance of this sensor array in quantitation and blind sample recognition further validates its potential for practical applications.

Automated summary

Antibiotic contamination is a global problem due to abuse and misuse, and an efficient detection method is needed. This study synthesized fluorescent gold nanoclusters with ligands and used rare earth ions to enhance their fluorescence. The sensor array developed based on this mechanism successfully detected and discriminated six different antibiotics, showing high selectivity and anti-interference performance. The sensor array also demonstrated potential applications in quantitation and blind sample recognition.