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Cited by 985

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Assay Techniques and Test Development for COVID-19 Diagnosis

Open access
Carter, Linda J., Garner, Linda V., Smoot, Jeffrey W., Li, Yingzhu, Zhou, Qiongqiong, Saveson, Catherine J., Sasso, Janet M., Gregg, Anne C., Soares, Divya J., Beskid, Tiffany R., Jervey, Susan R., Liu, Cynthia·2020·ACS Central Science

Abstract

An ongoing theme of the COVID-19 pandemic is the need for widespread availability of accurate and efficient diagnostic testing for detection of SARS-CoV-2 and antiviral antibodies in infected individuals. This report describes various assay techniques and tests for COVID-19 diagnosis. Most tests for early detection of SARS-CoV-2 RNA rely on the reverse transcription-polymerase chain reaction, but isothermal nucleic acid amplification assays, including transcription-mediated amplification and CRISPR-based methodologies, are promising alternatives. Identification of individuals who have developed antibodies to the SARS-CoV-2 virus requires serological tests, including enzyme-linked immunosorbent assay (ELISA) and lateral flow immunoassay. This report also provides an overview of current development in COVID-19 diagnostic techniques and products to facilitate future improvement and innovation.

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Metadata

Authors
Carter, L. J., Garner, L. V., Smoot, J. W., Li, Y., Zhou, Q., Saveson, C. J., Sasso, J. M., Gregg, A. C., Soares, D. J., Beskid, T. R., Jervey, S. R., & Liu, C.
Venue
ACS Central Science
Published
2020-04-30
Volume
6
Issue
5
Pages
591-605
ISSN
  • 2374-7943 (ISSN-L)
  • 2374-7951
OpenAlex
W3021161367
Cited by
985
References
25
Type
other
Language
en
Open access
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CoChat. (2026). Citation check: Assay Techniques and Test Development for COVID-19 Diagnosis. https://app.cochat.ai/papers/10.1021/acscentsci.0c00501
The paper
Carter, L. J., Garner, L. V., Smoot, J. W., Li, Y., Zhou, Q., Saveson, C. J., Sasso, J. M., Gregg, A. C., Soares, D. J., Beskid, T. R., Jervey, S. R., & Liu, C. (2020). Assay Techniques and Test Development for COVID-19 Diagnosis. ACS Central Science. https://doi.org/10.1021/acscentsci.0c00501

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.