Summary of - gold nanoparticle based biosensors for rapid pathogen detection: a review
Document Type
Article
Abstract
Study Background
The environment around us holds various pathogens, some of which can cause life-threatening infections. Rapid and early detection of these pathogens is important for reducing health risks. While traditional detection methods like culture techniques, polymerase chain reaction (PCR), and enzyme-linked immunosorbent assays (ELISA) remain in use, there is growing interest in the incorporation of nanomaterials into biosensing systems for on-site, point-of-care pathogen diagnosis.
Methodology
This review examines various approaches to incorporating gold nanoparticles into existing biosensor types to enhance pathogen detection. Further, it focuses on different biosensing platforms, including nucleic acid-based biosensors, immunosensors, enzyme biosensors, fluorescence biosensors, and bacteriophage biosensors. These platforms have been evaluated for their improved bio diagnostic capabilities when integrated with gold nanoparticles.
Hypothesis
The hypothesis underlying this review is that the inclusion of gold nanoparticles in biosensing platforms can significantly improve the efficiency and effectiveness of pathogen detection, particularly for on-site, point-of-care diagnostics.
Study Outcome
The review highlights that gold nanoparticles enhance the performance of various biosensor types, leading to improved pathogen detection capabilities. However, the successful application of these nano biosensors in real-world requires addressing the existing challenges that hamper their widespread utilization.
Publication Date
2022
Recommended Citation
Hegde, M., Pai, P., Shetty, M. G., & Babitha, K. S. (2022). Gold nanoparticle based biosensors for rapid pathogen detection: A review. Environmental Nanotechnology, Monitoring & Management, 18, 100756.
Publication Date
2022
Recommended Citation
Hegde, Madhu; Pai, Padmini; Gangadhar Shetty, Manasa; and Sundara Babitha, Kampa, "Summary of - gold nanoparticle based biosensors for rapid pathogen detection: a review" (2022). Open Access archive. 9492.
https://impressions.manipal.edu/open-access-archive/9492