Unraveling bacterial identity through Raman scattering
techniques
has been persistently challenging due to homogeneously amplified Raman
signals across a wide variety of bacterial molecules, predominantly
protein- or nucleic acid-mediated. In this study, we present an approach
involving the use of silver nanoparticles to completely and uniformly
“mask” adsorption on the surface of bacterial molecules
through sodium borohydride and sodium chloride. This approach enables
the acquisition of enhanced surface-enhanced Raman scattering (SERS)
signals from all components on the bacterial surface, facilitating
rapid, specific, and label-free bacterial identification. For the
first time, we have characterized the identity of a bacterium, including
its DNA, metabolites, and cell walls, enabling the accurate differentiation
of various bacterial strains, even within the same species. In addition,
we embarked on an exploration of the origin and variability patterns
of the main characteristic peaks of Gram-positive and Gram-negative
bacteria. Significantly, the SERS peak ratio was found to determine
the inflection point of accelerated bacterial death upon treatment
with antimicrobials. We further applied this platform to identify
15 unique clinical antibiotic-resistant bacterial strains, including
five Escherichia coli strains in human
urine, a first for Raman technology. This work has profound implications
for prompt and accurate identification of bacteria, particularly antibiotic-resistant
strains, thereby significantly enhancing clinical diagnostics and
antimicrobial treatment strategies.