Rapid, ultrasensitive, and specific RPA-THz system for pathogenic microorganism detection

Pathogenic microorganisms responsible for infectious diseases pose a significant global threat to human health. Existing detection methods, such as qPCR and ELISA, fail to simultaneously meet the requirements for high sensitivity, high specificity, and rapid detection. This study presents an innovative approach for the rapid, specific, and highly sensitive detection of pathogenic microorganisms, particularly <i>Escherichia coli</i> O157:H7 (<i>E. coli</i> O157:H7) and varicella-zoster virus (VZV), by combining recombinase polymerase amplification (RPA) with terahertz time-domain spectroscopy (THz-TDS). The qualitative and quantitative detection method for pathogenic microorganisms was developed and evaluated. The stable and efficient RPA reaction systems were established to specifically amplify the key conserved genes of these pathogens. Then the RPA products were purified, and enriched with MBs. The absorbance spectra were obtained using THz-TDS technology. The linear range of the RPA-THz for detecting <i>E. coli</i> O157:H7 was 0.55 to 5.5 × 10<sup>4</sup> pg/mL, while for VZV, it was 0.75 to 7.5 × 10<sup>3</sup> pg/mL. The limit of detection (LOD) for bacteria and viruses was 0.226 pg/mL and 0.528 pg/mL, respectively, demonstrating better sensitivity than the qPCR (550 pg/mL and 750 pg/mL, respectively). In addition, the whole amplification and detection process was completed in about 35 minutes. Compared to traditional pathogen detection techniques, the primary advantage of the developed RPA-THz method exhibited high accuracy, good reproducibility, and short detection times, enabling non-ionizing, label-free analysis for rapid detection with high sensitivity and specificity of pathogenic microorganisms. This study provides a theoretical foundation and practical demonstration for the fast and precise detection of pathogenic microorganisms. It establishes a crucial research basis for further development of RPA-THz sensors, advancing technological progress in the field of food safety, medical diagnostics, environmental monitoring, and public health.

Authors

Institutions

Publication Details

Journal
Biomedical Optics Express
Published
2025-02-05
DOI
https://doi.org/10.1364/boe.549870
Citations
3
Primary Topic
Terahertz technology and applications
Type
article
Field-Weighted Citation Impact
2.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rapid, ultrasensitive, and specific RPA-THz system for pathogenic microorganism detection

Lintao Huang, Zeming Zhou, Changhe Wang, Hu Cai et al.
3 citations
Biomedical Optics Express
Terahertz technology and applications
2.19
article

Rapid, ultrasensitive, and specific RPA-THz system for pathogenic microorganism detection

Lintao Huang, Zeming Zhou, Changhe Wang, Hu Cai, Lian Wu, Ye Tian, Fulai Zhang, Huili Jiang, Donghao Cheng, Hang Shi, Ying Chen, Xuehao Wang, Rong Huang, Zhihao Chen, Zhang Yang, Lin Ma, Menglu Pi, Xupeng Fu, Wenhui Yang, Juan Zhang
article en
3 citations

Abstract

Pathogenic microorganisms responsible for infectious diseases pose a significant global threat to human health. Existing detection methods, such as qPCR and ELISA, fail to simultaneously meet the requirements for high sensitivity, high specificity, and rapid detection. This study presents an innovative approach for the rapid, specific, and highly sensitive detection of pathogenic microorganisms, particularly <i>Escherichia coli</i> O157:H7 (<i>E. coli</i> O157:H7) and varicella-zoster virus (VZV), by combining recombinase polymerase amplification (RPA) with terahertz time-domain spectroscopy (THz-TDS). The qualitative and quantitative detection method for pathogenic microorganisms was developed and evaluated. The stable and efficient RPA reaction systems were established to specifically amplify the key conserved genes of these pathogens. Then the RPA products were purified, and enriched with MBs. The absorbance spectra were obtained using THz-TDS technology. The linear range of the RPA-THz for detecting <i>E. coli</i> O157:H7 was 0.55 to 5.5 × 10<sup>4</sup> pg/mL, while for VZV, it was 0.75 to 7.5 × 10<sup>3</sup> pg/mL. The limit of detection (LOD) for bacteria and viruses was 0.226 pg/mL and 0.528 pg/mL, respectively, demonstrating better sensitivity than the qPCR (550 pg/mL and 750 pg/mL, respectively). In addition, the whole amplification and detection process was completed in about 35 minutes. Compared to traditional pathogen detection techniques, the primary advantage of the developed RPA-THz method exhibited high accuracy, good reproducibility, and short detection times, enabling non-ionizing, label-free analysis for rapid detection with high sensitivity and specificity of pathogenic microorganisms. This study provides a theoretical foundation and practical demonstration for the fast and precise detection of pathogenic microorganisms. It establishes a crucial research basis for further development of RPA-THz sensors, advancing technological progress in the field of food safety, medical diagnostics, environmental monitoring, and public health.

Biomedical Optics ExpressVol. 16(3)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (BR), Northwestern Polytechnical University (CN), Xi'an Medical University (CN), Chinese Academy of Civil Aviation Science and Technology (CN), Gansu Great Wall Electrical and Electronics Engineering Research Institute (CN)
Fundamental Research Funds for the Central Universities, Key Research and Development Projects of Shaanxi Province, Natural Science Basic Research Program of Shaanxi Province
Openalex Percentile: Top 14%
Terahertz technology and applications
2.19
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.