Metabolic phenotyping of acquired ampicillin resistance using microbial volatiles from Escherichia coli cultures.

Our findings suggest that VOC profiles may be utilized to differentiate between resistant and susceptible bacteria using just six compounds. Consequently, the development of machine-learning models using VOC signatures shows considerable diagnostic applicability for the rapid and accurate detection of antimicrobial resistance.