Synchrotron Nano-FTIR Reveals Carbohydrate-Dependent Protein Conformational Changes at Bacterium-Nanoparticle Interfaces
Antimicrobial resistance motivates the development of approaches capable of probing nanoparticle-bacterium interactions with nanoscale sensitivity. Here, synchrotron infrared nano-spectroscopy (SINS) is applied to investigate interactions between carbohydrate-coated silica nanoparticles and the Gram-negative model bacterium Escherichia coli at the single-cell level. Silica nanoparticles (SiO2) were coated with mannose, maltose, or trehalose to evaluate how surface carbohydrate chemistry influences their interactions with the bacterial envelope. Correlative electron microscopy revealed pronounced association of carbohydrate-SiO2 with the bacterial envelope, with features consistent with localization within the periplasmic region, whereas bare-SiO2 showed no detectable association. SINS measurements acquired directly on bacterial cells and at bacterium-nanoparticle interfaces revealed distinct, carbohydrate-dependent spectral signatures. Quantitative analysis of the amide I band used the I/I{beta} ; ratio, which describes the relative contributions of -helical and {beta}-sheet protein secondary-structure components, together with interface-dependent band-position analysis to characterize local spectral perturbations. Carbohydrate-SiO2 produced systematic changes in the I/I{beta} ; ratio, including at locations where nanoparticles were not directly observed, indicating that their effects extend beyond the sites of nanoparticle association. Comparison of measurements acquired on bacterial surfaces and at bacterium-nanoparticle interfaces further revealed that carbohydrate chemistry modulates both the magnitude and spatial extent of these spectral perturbations. Trehalose-SiO2 produced the largest interface-dependent amide I band shifts and a spectral component consistent with random-coil structures. Overall, these results demonstrate that carbohydrate surface chemistry modulates nanoscale protein conformational perturbations at the nano-bio interface and highlight SINS as a powerful approach for resolving chemically localized molecular responses at single-cell interfaces.