Reduced graphene oxide-based absorbance biosensors for detecting Escherichia coli DNA
Escherichia coli represents a significant concern for food safety, water quality, medical applications, and environmental health, necessitating effective detection methods. This study presents a reduced graphene oxide-based biosensor for the sensitive and specific detection of E. coli DNA. The functionalized reduced graphene oxide was successfully synthesized using a modified Hummers' method, followed by a hydrothermal reduction step. Structural, morphological, and chemical properties of the reduced graphene oxide were confirmed through Fourier-transform infrared spectroscopy, scanning electron microscopy, and X-ray diffraction. The biosensor incorporates functionalized reduced graphene oxide linked to amino-modified probe DNA sequences specific to E. coli markers, providing stability and selective hybridization. Detection of E. coli DNA in the range of 0-476.19 fM is achieved by measuring absorbance changes at 273 nm, where an increase in absorbance indicates the presence of complementary E. coli single-stranded DNA. Performance testing with various DNA concentrations revealed a linear relationship, achieving a limit of detection of 80.28 fM and demonstrating high selectivity against non-target bacteria such as Bacillus subtilis, Enterococcus, Vibrio proteolyticus, and Staphylococcus. Optimization efforts identified the amino-E.coli BL21 probe as the only probe capable of detecting E. coli DNA. The reduced graphene oxide-based biosensor holds promise for rapid detection in pathogen monitoring, clinical diagnostics, and environmental analysis, paving the way for enhanced DNA biosensing technologies.
Authors
- Mai Thi Tran (ORCID: https://orcid.org/0000-0002-7993-5735)
- Son Hai Nguyen (ORCID: https://orcid.org/0000-0003-3012-9166)
- Chau Nguyen Minh Hoang
Institutions
- VinUniversity (VN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1038/s41598-025-14189-4
- Citations
- 2
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- Trường Đại học Bách Khoa Hà Nội