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

Currently, empirical therapy regimens are often used in the treatment of infectious diseases that are not based on data on pathogen resistance. One of the main reasons for the unjustified prescription of antibacterial drugs is the lack of rapid and at the same time universal methods of determining the antibiotic resistance of the pathogen. The most widely used culture techniques, such as the microdilution method, require a long time to generate the necessary number of bacterial cells. Less time-consuming methods of resistance assessment (genomic or proteomic) are based on the determination of specific markers (resistance genes, overexpression of certain proteins, etc.); in this case, the specific protocol is most often applicable to a narrow number of both microorganism strains and antibiotics. Previously, we demonstrated the possibility of using Raman spectroscopy (RS) technology for quantitative determination of the product of bacterial cell activity in the MTT assay, formazan, directly in the cell suspension. The absence of the formazan isolation step simplifies the assay and increases its accuracy. The analysis time did not exceed 2 h while maintaining the versatility of the MTT assay itself. Limitations of the developed protocol for RS detection of the MTT assay results include a high sensitivity threshold of 107 CFU/mL for the bacterial cell concentration, so a preliminary stage of cultivation is necessary for samples with a low bacterial content. Here, we propose a method to increase the sensitivity of formazan determination by utilizing the effect of surface-enhanced Raman scattering (SERS) on gold nanoparticles. As a result of this study, the optimal conditions for SERS analysis of formazan in both solution and suspension of Escherichia coli cells are selected. Formazan signal amplification due to the use of SERS on gold nanoparticles instead of RS allowed us to reduce the sensitivity threshold for the number of bacterial cells in the sample by at least 30 times, up to 3 × 105 CFU/mL. This sensitivity is not the limit of the SERS technology capabilities because the introduction of other types of nanoparticles (more optimal in shape, size, concentration, etc.) into the experiment will allow one to achieve even higher signal amplification.

Authors

Institutions

Publication Details

Journal
Molecular Biology
Published
2024-12-01
DOI
https://doi.org/10.1134/s0026893324700626
Citations
1
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Elena Zavyalova, В. И. Кукушкин, Vladimir Mushenkov, Dmitry Lukyanov et al.
1 citations
Molecular Biology
Biosensors and Analytical Detection
0.18
article

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

Elena Zavyalova, В. И. Кукушкин, Vladimir Mushenkov, Dmitry Lukyanov, Nadezda Meshcheryakova
article en
1 citations

Abstract

Currently, empirical therapy regimens are often used in the treatment of infectious diseases that are not based on data on pathogen resistance. One of the main reasons for the unjustified prescription of antibacterial drugs is the lack of rapid and at the same time universal methods of determining the antibiotic resistance of the pathogen. The most widely used culture techniques, such as the microdilution method, require a long time to generate the necessary number of bacterial cells. Less time-consuming methods of resistance assessment (genomic or proteomic) are based on the determination of specific markers (resistance genes, overexpression of certain proteins, etc.); in this case, the specific protocol is most often applicable to a narrow number of both microorganism strains and antibiotics. Previously, we demonstrated the possibility of using Raman spectroscopy (RS) technology for quantitative determination of the product of bacterial cell activity in the MTT assay, formazan, directly in the cell suspension. The absence of the formazan isolation step simplifies the assay and increases its accuracy. The analysis time did not exceed 2 h while maintaining the versatility of the MTT assay itself. Limitations of the developed protocol for RS detection of the MTT assay results include a high sensitivity threshold of 107 CFU/mL for the bacterial cell concentration, so a preliminary stage of cultivation is necessary for samples with a low bacterial content. Here, we propose a method to increase the sensitivity of formazan determination by utilizing the effect of surface-enhanced Raman scattering (SERS) on gold nanoparticles. As a result of this study, the optimal conditions for SERS analysis of formazan in both solution and suspension of Escherichia coli cells are selected. Formazan signal amplification due to the use of SERS on gold nanoparticles instead of RS allowed us to reduce the sensitivity threshold for the number of bacterial cells in the sample by at least 30 times, up to 3 × 105 CFU/mL. This sensitivity is not the limit of the SERS technology capabilities because the introduction of other types of nanoparticles (more optimal in shape, size, concentration, etc.) into the experiment will allow one to achieve even higher signal amplification.

Molecular BiologyVol. 58(6)
Skolkovo Institute of Science and Technology (RU), Lomonosov Moscow State University (RU), Osipyan Institute of Solid State Physics RAS (RU)
Affordable and clean energy
Openalex Percentile: Top 50%
Biosensors and Analytical Detection
0.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.