Fluorescence discrimination of pathogenic Bacteria #journal

The lack of rapid and precise microbial identification technologies, coupled with the insufficient sensitivity or time-consuming procedures of current microbiological detection methods, may hinder effective pathogen management in both clinical settings and food safety surveillance. This poses significant risks to public health. We fabricated a broad-spectrum fluorescent nanomaterial, fragmented crystalline mannose-conjugated lectin-modified amidoxime-functionalized covalent organic framework (FcMBL@afCOF), for the rapid and efficient discrimination of both clinical and foodborne pathogens. A strategy inspired by the classic black box theory was utilized to amplify the spectral differences; the undifferentiated bacteria were regarded as a black box, external environmental stress was applied as the input, and the fluorescent spectra of FcMBL@afCOF/bacteria exposed to the same stress were output. To systematically validate this methodology, ultrasound was investigated as a typical environmental stress.

the resultant fluorescent spectra were processed simply to discriminate bacteria. The bacterial identification platform based on FcMBL@afCOF and environmental stress-assisted black box strategy circumvents the cumbersome synthesis of multiple biosensor receptors and the requirement of complex manipulation/precision equipment, reduces costs, and features a fast response and simple processing without washing procedures. This work provides a facile tactic for establishing an adaptable COF-based bacterial biosensing platform, making a positive contribution to precise medicine and food security.

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