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Automated liquid handling robot for rapid lateral flow assay development

The lateral flow assay (LFA) is one of the most popular technologies on the point-of-care diagnostics market due to its low cost and ease of use, with applications ranging from pregnancy to environmental toxins to infectious disease. While the use of these tests is relatively straightforward, signif...

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Autores principales: Anderson, Caitlin E., Huynh, Toan, Gasperino, David J., Alonzo, Luis F., Cantera, Jason L., Harston, Stephen P., Hsieh, Helen V., Marzan, Rosemichelle, McGuire, Shawn K., Williford, John R., Oncina, Ciela I., Glukhova, Veronika A., Bishop, Joshua D., Cate, David M., Grant, Benjamin D., Nichols, Kevin P., Weigl, Bernhard H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799445/
https://www.ncbi.nlm.nih.gov/pubmed/35091761
http://dx.doi.org/10.1007/s00216-022-03897-9
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author Anderson, Caitlin E.
Huynh, Toan
Gasperino, David J.
Alonzo, Luis F.
Cantera, Jason L.
Harston, Stephen P.
Hsieh, Helen V.
Marzan, Rosemichelle
McGuire, Shawn K.
Williford, John R.
Oncina, Ciela I.
Glukhova, Veronika A.
Bishop, Joshua D.
Cate, David M.
Grant, Benjamin D.
Nichols, Kevin P.
Weigl, Bernhard H.
author_facet Anderson, Caitlin E.
Huynh, Toan
Gasperino, David J.
Alonzo, Luis F.
Cantera, Jason L.
Harston, Stephen P.
Hsieh, Helen V.
Marzan, Rosemichelle
McGuire, Shawn K.
Williford, John R.
Oncina, Ciela I.
Glukhova, Veronika A.
Bishop, Joshua D.
Cate, David M.
Grant, Benjamin D.
Nichols, Kevin P.
Weigl, Bernhard H.
author_sort Anderson, Caitlin E.
collection PubMed
description The lateral flow assay (LFA) is one of the most popular technologies on the point-of-care diagnostics market due to its low cost and ease of use, with applications ranging from pregnancy to environmental toxins to infectious disease. While the use of these tests is relatively straightforward, significant development time and effort are required to create tests that are both sensitive and specific. Workflows to guide the LFA development process exist but moving from target selection to an LFA that is ready for field testing can be labor intensive, resource heavy, and time consuming. To reduce the cost and the duration of the LFA development process, we introduce a novel development platform centered on the flexibility, speed, and throughput of an automated robotic liquid handling system. The system comprises LFA-specific hardware and software that enable large optimization experiments with discrete and continuous variables such as antibody pair selection or reagent concentration. Initial validation of the platform was demonstrated during development of a malaria LFA but was readily expanded to encompass development of SARS-CoV-2 and Mycobacterium tuberculosis LFAs. The validity of the platform, where optimization experiments are run directly on LFAs rather than in solution, was based on a direct comparison between the robotic system and a more traditional ELISA-like method. By minimizing hands-on time, maximizing experiment size, and enabling improved reproducibility, the robotic system improved the quality and quantity of LFA assay development efforts. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-022-03897-9.
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spelling pubmed-87994452022-01-31 Automated liquid handling robot for rapid lateral flow assay development Anderson, Caitlin E. Huynh, Toan Gasperino, David J. Alonzo, Luis F. Cantera, Jason L. Harston, Stephen P. Hsieh, Helen V. Marzan, Rosemichelle McGuire, Shawn K. Williford, John R. Oncina, Ciela I. Glukhova, Veronika A. Bishop, Joshua D. Cate, David M. Grant, Benjamin D. Nichols, Kevin P. Weigl, Bernhard H. Anal Bioanal Chem Research Paper The lateral flow assay (LFA) is one of the most popular technologies on the point-of-care diagnostics market due to its low cost and ease of use, with applications ranging from pregnancy to environmental toxins to infectious disease. While the use of these tests is relatively straightforward, significant development time and effort are required to create tests that are both sensitive and specific. Workflows to guide the LFA development process exist but moving from target selection to an LFA that is ready for field testing can be labor intensive, resource heavy, and time consuming. To reduce the cost and the duration of the LFA development process, we introduce a novel development platform centered on the flexibility, speed, and throughput of an automated robotic liquid handling system. The system comprises LFA-specific hardware and software that enable large optimization experiments with discrete and continuous variables such as antibody pair selection or reagent concentration. Initial validation of the platform was demonstrated during development of a malaria LFA but was readily expanded to encompass development of SARS-CoV-2 and Mycobacterium tuberculosis LFAs. The validity of the platform, where optimization experiments are run directly on LFAs rather than in solution, was based on a direct comparison between the robotic system and a more traditional ELISA-like method. By minimizing hands-on time, maximizing experiment size, and enabling improved reproducibility, the robotic system improved the quality and quantity of LFA assay development efforts. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-022-03897-9. Springer Berlin Heidelberg 2022-01-29 2022 /pmc/articles/PMC8799445/ /pubmed/35091761 http://dx.doi.org/10.1007/s00216-022-03897-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Paper
Anderson, Caitlin E.
Huynh, Toan
Gasperino, David J.
Alonzo, Luis F.
Cantera, Jason L.
Harston, Stephen P.
Hsieh, Helen V.
Marzan, Rosemichelle
McGuire, Shawn K.
Williford, John R.
Oncina, Ciela I.
Glukhova, Veronika A.
Bishop, Joshua D.
Cate, David M.
Grant, Benjamin D.
Nichols, Kevin P.
Weigl, Bernhard H.
Automated liquid handling robot for rapid lateral flow assay development
title Automated liquid handling robot for rapid lateral flow assay development
title_full Automated liquid handling robot for rapid lateral flow assay development
title_fullStr Automated liquid handling robot for rapid lateral flow assay development
title_full_unstemmed Automated liquid handling robot for rapid lateral flow assay development
title_short Automated liquid handling robot for rapid lateral flow assay development
title_sort automated liquid handling robot for rapid lateral flow assay development
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799445/
https://www.ncbi.nlm.nih.gov/pubmed/35091761
http://dx.doi.org/10.1007/s00216-022-03897-9
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