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Smartphone-read phage lateral flow assay for point-of-care detection of infection.
Chabi, Maede; Vu, Binh; Brosamer, Kristen; Smith, Maxwell; Chavan, Dimple; Conrad, Jacinta C; Willson, Richard C; Kourentzi, Katerina.
  • Chabi M; Department of Biomedical Engineering, University of Houston, Houston, Texas 77204, USA. willson@uh.edu.
  • Vu B; Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA. jcconrad@uh.edu.
  • Brosamer K; Department of Biomedical Engineering, University of Houston, Houston, Texas 77204, USA. willson@uh.edu.
  • Smith M; Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA. jcconrad@uh.edu.
  • Chavan D; Department of Biology and Biochemistry, University of Houston, Houston, Texas 77204, USA.
  • Conrad JC; Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA. jcconrad@uh.edu.
  • Willson RC; Department of Biomedical Engineering, University of Houston, Houston, Texas 77204, USA. willson@uh.edu.
  • Kourentzi K; Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA. jcconrad@uh.edu.
Analyst ; 148(4): 839-848, 2023 Feb 13.
Article in English | MEDLINE | ID: covidwho-2186134
ABSTRACT
The COVID-19 pandemic has highlighted the urgent need for sensitive, affordable, and widely accessible testing at the point of care. Here we demonstrate a new, universal LFA platform technology using M13 phage conjugated with antibodies and HRP enzymes that offers high analytical sensitivity and excellent performance in a complex clinical matrix. We also report its complete integration into a sensitive chemiluminescence-based smartphone-readable lateral flow assay for the detection of SARS-CoV-2 nucleoprotein. We screened 84 anti-nucleoprotein monoclonal antibody pairs in phage LFA and identified an antibody pair that gave an LoD of 25 pg mL-1 nucleoprotein in nasal swab extract using a FluorChem gel documentation system and 100 pg mL-1 when the test was imaged and analyzed by an in-house-developed smartphone reader. The smartphone-read LFA signals for positive clinical samples tested (N = 15, with known Ct) were statistically different (p < 0.001) from signals for negative clinical samples (N = 11). The phage LFA technology combined with smartphone chemiluminescence imaging can enable the timely development of ultrasensitive, affordable point-of-care testing platforms for SARS-CoV-2 and beyond.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Bacteriophages / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Analyst Year: 2023 Document Type: Article Affiliation country: D2an01499h

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Bacteriophages / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Analyst Year: 2023 Document Type: Article Affiliation country: D2an01499h