Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/12727
Title: | Electromechanical Rt-Lamp Device for Portable Sars-Cov Detection | Authors: | Tarım, Ergün Alperay Öksüz, Cemre Karakuzu, Betül Appak, Özgür Sayıner, Ayça Arzu Tekin, Hüseyin Cumhur |
Keywords: | Colorimetric detection SARS CoV-2 Electromechanical systems |
Publisher: | Elsevier | Abstract: | Rapid point-of-care tests for infectious diseases are essential, especially in pandemic conditions. We have developed a point-of-care electromechanical device to detect SARS-CoV-2 viral RNA using the reverse-transcription loop-mediated isothermal amplification (RT-LAMP) principle. The developed device can detect SARS-CoV-2 viral RNA down to 103 copies/mL and from a low amount of sample volumes (2 μL) in less than an hour of standalone operation without the need for professional labor and equipment. Integrated Peltier elements in the device keep the sample at a constant temperature, and an integrated camera allows automated monitoring of LAMP reaction in a stirring sample by using colorimetric analysis of unfocused sample images in the hue/saturation/value color space. This palm-fitting, portable and low-cost device does not require a fully focused sample image for analysis, and the operation could be stopped automatically through image analysis when the positive test results are obtained. Hence, viral infections can be detected with the portable device produced without the need for long, expensive, and labor-intensive tests and equipment, which can make the viral tests disseminated at the point-of-care. | URI: | https://doi.org/10.1016/j.talanta.2022.124190 https://hdl.handle.net/11147/12727 |
ISSN: | 0039-9140 |
Appears in Collections: | Bioengineering / Biyomühendislik PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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1-s2.0-S0039914022009869-main.pdf | Article File | 3.77 MB | Adobe PDF | View/Open |
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