Urinary
tract infections (UTIs) have greatly affected human health
in recent years. Accurate and rapid diagnosis of UTIs can enable a
more effective treatment. Herein, we developed a multichannel sensor
array for efficient identification of bacteria based on three antimicrobial
agents (vancomycin, lysozyme, and bacitracin) functional gold nanoclusters
(AuNCs). In this sensor, the fluorescence intensity of the three AuNCs
was quenched to varying degrees by the bacterial species, providing
a unique fingerprint for different bacteria. With this sensing platform,
seven pathogenic bacteria, different concentrations of the same bacteria,
and even bacterial mixtures were successfully differentiated. Furthermore,
UTIs can be accurately identified with our sensors in ∼30 min
with 100% classification accuracy. The proposed sensing systems offer
a rapid, high-throughput, and reliable sensing platform for the diagnosis
of UTIs.