Poster + Paper
12 March 2024 Understanding COVID-19 for future applications in pathogen detection: groundbreaking technology via the Arduino-driven RT-LAMP method
Mosidi Mokoena, Sphumelele C. Ndlovu, Sudesh Sivarasu, Patience Mthunzi-Kufa
Author Affiliations +
Conference Poster
Abstract
Timely and effective detection of COVID-19 continues to be a critical aspect in managing the pandemic and setting the groundwork for future pathogen detection techniques. Present diagnostic technologies, especially those designed for POC (Point of Care) use in resource-constrained settings, must meet the evolving needs for rapidity, accuracy, and affordability. Within this context, preparing for pandemics necessitates the development of swift POC diagnostics. This research investigates the potential of the Arduino-driven LAMP (Loop-Mediated Isothermal Amplification) method for SARS-CoV-2 detection. An inexpensive, accessible, and portable "LAMP box" is proposed in this study, integrating the LAMP assay with an Arduino to create a potentially effective detection system for COVID-19. The device features a wireless technology network connecting all components. The reaction is performed at 65°C on an isothermal heating pad located beneath a solid aluminum base, providing a stable platform for reaction tubes and assays. Control of the entire system, powered via a 5-volt USB source, is provided through a built-in Bluetooth connection linked to an Arduino, facilitating control through a computer. The study concludes that such simple systems can effectively determine the presence or absence of artificial SARS-CoV-2 genetic material in samples. The presented research underscores the promise of Arduino-based LAMP technology, showcasing its specificity and sensitivity compared to the conventional RT-PCR (Reverse Transcription Polymerase Chain Reaction).
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mosidi Mokoena, Sphumelele C. Ndlovu, Sudesh Sivarasu, and Patience Mthunzi-Kufa "Understanding COVID-19 for future applications in pathogen detection: groundbreaking technology via the Arduino-driven RT-LAMP method", Proc. SPIE 12832, Optics and Biophotonics in Low-Resource Settings X, 128320B (12 March 2024); https://doi.org/10.1117/12.3002338
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KEYWORDS
COVID 19

Lamps

Pathogens

Diagnostics

Cameras

Design

Imaging systems

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