4.6 Article

Clinical Validation of a Colorimetric Loop-Mediated Isothermal Amplification Using a Portable Device for the Rapid Detection of SARS-CoV-2

Journal

DIAGNOSTICS
Volume 13, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/diagnostics13071355

Keywords

RT-LAMP; colorimetric; SARS-CoV-2; Point-of-Care; diagnostics

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Quick and reliable mass testing is necessary for SARS-CoV-2 containment. Point-of-Care (POC) tests using Loop-Mediated Isothermal Amplification (LAMP) have emerged as a useful diagnostic tool during the COVID-19 pandemic. However, colorimetric LAMP tests have limitations in stability and false-positive results. This study presents a portable device, Hilab Molecular, that utilizes IoT and AI to pre-analyze colorimetric data, and manufacturing procedures to increase the stability of colorimetric RT-LAMP tests.
Quick and reliable mass testing of infected people is an effective tool for the contingency of SARS-CoV-2. During the COVID-19 pandemic, Point-of-Care (POC) tests using Loop-Mediated Isothermal Amplification (LAMP) arose as a useful diagnostic tool. LAMP tests are a robust and fast alternative to Polymerase Chain Reaction (PCR), and their isothermal property allows easy incorporation into POC platforms. The main drawback of using colorimetric LAMP is the reported short-term stability of the pre-mixed reagents, as well as the relatively high rate of false-positive results. Also, low-magnitude amplification can produce a subtle color change, making it difficult to discern a positive reaction. This paper presents Hilab Molecular, a portable device that uses the Internet of Things and Artificial Intelligence to pre-analyze colorimetric data. In addition, we established manufacturing procedures to increase the stability of colorimetric RT-LAMP tests. We show that ready-to-use reactions can be stored for up to 120 days at -20 C-?. Furthermore, we validated both the Hilab Molecular device and the Hilab RT-LAMP test for SARS-CoV-2 using 581 patient samples without any purification steps. We achieved a sensitivity of 92.93% and specificity of 99.42% (samples with CT = 30) when compared to RT-qPCR.

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