Journal
SMALL SCIENCE
Volume 2, Issue 2, Pages -Publisher
WILEY
DOI: 10.1002/smsc.202100111
Keywords
biosensors; carbon nanotubes; machine learning; SARS-CoV-2; solution shearing
Funding
- National Research Foundation of Korea (NRF) - Korea government (MSIT) [2019R1C1C1006928]
- Bio & Medical Technology Development Program [NRF2017M3A9E4047243]
- Korea Institute of Energy Technology Evaluation and Planning (KETEP) - Korea Government (MOTIE) [20183010014470]
- National Research Foundation of Korea [2019R1C1C1006928] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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The recent global spread of COVID-19 emphasizes the need for rapid and accessible diagnostic testing. Nanomaterial thin-film-based immunosensors show promise due to their mass manufacturability, on-site detection, and high sensitivity. However, understanding the relationship between thin-film properties and sensor performance is lacking. This study systematically analyzes the correlations between various thin-film properties and sensitivity, achieving optimal performance for diagnosing COVID-19 in early stages.
The recent global spread of COVID-19 stresses the importance of developing diagnostic testing that is rapid and does not require specialized laboratories. In this regard, nanomaterial thin-film-based immunosensors fabricated via solution processing are promising, potentially due to their mass manufacturability, on-site detection, and high sensitivity that enable direct detection of virus without the need for molecular amplification. However, thus far, thin-film-based biosensors have been fabricated without properly analyzing how the thin-film properties are correlated with the biosensor performance, limiting the understanding of property-performance relationships and the optimization process. Herein, the correlations between various thin-film properties and the sensitivity of carbon nanotube thin-film-based immunosensors are systematically analyzed, through which optimal sensitivity is attained. Sensitivities toward SARS-CoV-2 nucleocapsid protein in buffer solution and in the lysed virus are 0.024 [fg/mL](-1) and 0.048 [copies/mL](-1), respectively, which are sufficient for diagnosing patients in the early stages of COVID-19. The technique, therefore, can potentially elucidate complex relationships between properties and performance of biosensors, thereby enabling systematic optimization to further advance the applicability of biosensors for accurate and rapid point-of-care (POC) diagnosis.
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