Related Experiment Video

Updated: Jul 11, 2026

Fabricating a UV-Vis and Raman Spectroscopy Immunoassay Platform
09:02

Fabricating a UV-Vis and Raman Spectroscopy Immunoassay Platform

Published on: November 10, 2016

10.3K

[Surface-Enhanced Raman Scattering to Improve the Sensitivity of the MTT Assay]

V A Mushenkov1,2, D A Lukyanov1,3, N F Meshcheryakova1

  • 1Moscow State University, Moscow, 119991 Russia.

Molekuliarnaia Biologiia
|February 19, 2025
PubMed
Summary

This study enhances bacterial antibiotic resistance testing by using surface-enhanced Raman scattering (SERS) with gold nanoparticles. This SERS method significantly improves sensitivity, allowing faster and more accurate pathogen identification for better infectious disease treatment.

Keywords:
Escherichia coliMTT assayRaman scatteringantibiotic resistancebacteriaformazansurface-enhanced Raman scattering

More Related Videos

Surface-enhanced Resonance Raman Scattering Nanoprobe Ratiometry for Detecting Microscopic Ovarian Cancer via Folate Receptor Targeting07:54

Surface-enhanced Resonance Raman Scattering Nanoprobe Ratiometry for Detecting Microscopic Ovarian Cancer via Folate Receptor Targeting

Published on: March 25, 2019

8.1K
Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging09:46

Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging

Published on: April 28, 2022

3.8K

Related Concept Videos

Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...