Investigating the origins of bacterial SERS responses to antibiotics observed in the extracellular matrix liquid.

Surface-enhanced Raman spectroscopy (SERS) has been applied to analyze bacterial cells and their responses to antibiotic exposure. However, significant knowledge gaps remain regarding the origins of specific antibiotic response patterns and the necessary experimental steps required to see them clearly in the SERS spectra, particularly involving SERS responses observed in the extracellular matrix liquid of bacterial samples. In this study, a variety of experimental parameters were tested to assess the antibiotic response patterns seen in liquid samples from E.

Development of a portable SERS method for testing the antibiotic sensitivity of foodborne bacteria.

A method for testing the antibiotic susceptibility of foodborne bacterial samples using a portable Raman spectrometer has been developed. Surface-enhanced Raman spectroscopy (SERS) was used to obtain the spectra from bacterial samples collected on a filter membrane after incubation with antibiotics. The SERS spectra revealed characteristic antibiotic response patterns, which can be used to assess the antibiotic sensitivity of the samples.

Assessment of three SERS approaches for studying E. Coli O157:H7 susceptibility to ampicillin.

Antibiotic resistant bacteria pose an increasing threat to global public health, and it is essential that effective detection methods for identifying these organisms. This study assesses the ability of three different analytical approaches that were developed using surface-enhanced Raman spectroscopy (SERS) to differentiate between antibiotic sensitive and resistant bacteria based on their responses to ampicillin exposure, using Escherichia coli O157:H7 as a model bacterium. The approaches tested in this study included a conventional SERS approach of mixing a droplet of bacterial culture with gold nanoparticles, extracellular matrix analysis, and in situ mapping of bacterial cells on a filter membrane.

Cysteamine-Modified Gold Nanoparticles as a Colorimetric Sensor for the Rapid Detection of Gentamicin.

Unlabelled: A simple, rapid, and specific colorimetric method for gentamicin detection using cysteamine-modified gold nanoparticles (cys-AuNPs) has been developed. The maximum residue limits of gentamicin allowed in foods are typically below 100 nM, so an effective detection method for low concentrations of the drug is required. The aggregation of gold nanoparticles (AuNPs) was used as the basis for this method, and adding cysteamine to the AuNPs helped to enhance their aggregative abilities.