Thermally driven death-melting curve analysis for rapid and straightforward identification of bacteria

• For the first time, SYBR Green was used to trace the death dynamic of bacteria. • Two biological processes (dead and melting) were found to be ubiquitous in bacteria. • A death-melting curve analysis method was put forward for bacterial identification. • The as-developed method was successfully used for the rapid mapping of soil bacteria. Bacterial identification remains pivotal for biological research, food safety control, clinical diagnosis and effective treatment. Generally, 16S rRNA-based sequencing and antibody-based immunoassay are used to identify bacteria; however, both of them are time-consuming and expensive. Herein, we put forward a thermally driven death-melting curve analysis (DMCA) method to identify bacteria rapidly. In the method, SYBR Green I and a fluorescent reader with heating models were used to trace both the biomembrane integrity (viability) and dsDNA of the bacteria. During the heating-up of the bacteria from 37 to 98 °C, the fluorescent microplate reader was able to record the death curves of the bacteria and melting curves of the dsDNA in the bacteria. Different bacteria showed noticeable differences in thermostability and dsDNA component, allowing possible identification of these bacteria through Pearson Correlation analysis or dimension reduction analysis of the death-melting curves. By using nine bacterial strains as a proof-of-concept model, clear identification between the bacteria was accomplished without use of antibodies. The DMCA was successfully employed for the mapping of soil single-cell derived bacteria, the result of which was partly in agreement with that of the 16s RNA-based sequencing. Thus, our study provides a rapid, high-throughput, and low-cost approach for bacteria identification, and we believe it would have many potential applications in bacteriological research.

Authors

Institutions

Publication Details

Journal
Sensors and Actuators Reports
Published
2025-11-16
DOI
https://doi.org/10.1016/j.snr.2025.100405
Primary Topic
Vibrio bacteria research studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermally driven death-melting curve analysis for rapid and straightforward identification of bacteria

Zihan Gao, Shuhan Jiang, Shengbin He, Xueping Ning et al.
Sensors and Actuators Reports
Vibrio bacteria research studies
article

Thermally driven death-melting curve analysis for rapid and straightforward identification of bacteria

Zihan Gao, Shuhan Jiang, Shengbin He, Xueping Ning, Lei Liu, Yanlin Chen, Wenxu Wang
article en

Abstract

• For the first time, SYBR Green was used to trace the death dynamic of bacteria. • Two biological processes (dead and melting) were found to be ubiquitous in bacteria. • A death-melting curve analysis method was put forward for bacterial identification. • The as-developed method was successfully used for the rapid mapping of soil bacteria. Bacterial identification remains pivotal for biological research, food safety control, clinical diagnosis and effective treatment. Generally, 16S rRNA-based sequencing and antibody-based immunoassay are used to identify bacteria; however, both of them are time-consuming and expensive. Herein, we put forward a thermally driven death-melting curve analysis (DMCA) method to identify bacteria rapidly. In the method, SYBR Green I and a fluorescent reader with heating models were used to trace both the biomembrane integrity (viability) and dsDNA of the bacteria. During the heating-up of the bacteria from 37 to 98 °C, the fluorescent microplate reader was able to record the death curves of the bacteria and melting curves of the dsDNA in the bacteria. Different bacteria showed noticeable differences in thermostability and dsDNA component, allowing possible identification of these bacteria through Pearson Correlation analysis or dimension reduction analysis of the death-melting curves. By using nine bacterial strains as a proof-of-concept model, clear identification between the bacteria was accomplished without use of antibodies. The DMCA was successfully employed for the mapping of soil single-cell derived bacteria, the result of which was partly in agreement with that of the 16s RNA-based sequencing. Thus, our study provides a rapid, high-throughput, and low-cost approach for bacteria identification, and we believe it would have many potential applications in bacteriological research.

Sensors and Actuators ReportsVol. 10
Guangxi University (CN), Guangxi Medical University (CN), Guangxi University of Chinese Medicine (CN)
Openalex Percentile: Top 69%
Vibrio bacteria research studies
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.