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Multiplexed Ultrasensitive Sample-to-Answer RT-LAMP Chip for the Identification of SARS-CoV-2 and Influenza Viruses.
Song, Minsun; Hong, SoonGweon; Lee, Luke P.
  • Song M; Harvard Medical School, Harvard University, Boston, MA, 02115, USA.
  • Hong S; Division of Engineering in Medicine and Renal Division, Department of Medicine, Brigham Women's Hospital, Boston, MA, 02115, USA.
  • Lee LP; Harvard Medical School, Harvard University, Boston, MA, 02115, USA.
Adv Mater ; : e2207138, 2022 Nov 17.
Article in English | MEDLINE | ID: covidwho-2235816
ABSTRACT
Prompt on-site diagnosis of SARS-CoV-2 with other respiratory infections would have minimized the global impact of the COVID-19 pandemic through rapid, effective management. However, no such multiplex point-of-care (POC) chip has satisfied a suitable sensitivity of gold-standard nucleic acid amplification tests (NAATs). Here, we present a rapid multiplexed ultrasensitive sample-to-answer LAMP (MUSAL) chip operated by simple LED-driven photothermal amplification to detect six targets from single-swab sampling. First, our MUSAL chip allows ultrafast on-chip sample preparation with ∼500-fold preconcentration at a rate of 1.2 mL min-1 . Second, our chip enables contamination-free amplification using autonomous target elution into on-chip reagents by photothermal activation. Finally, our chip accomplishes multiplexed on-chip diagnostics of SARS-CoV-2 and influenza viruses with a limit of detection (LoD) of 0.5 copies µL-1 . Our rapid, ultra-sensitive, cost-effective sample-to-answer chip with a multiplex capability will allow timely management of various pandemics situations we may face shortly. This article is protected by copyright. All rights reserved.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Journal: Adv Mater Journal subject: Biophysics / Chemistry Year: 2022 Document Type: Article Affiliation country: Adma.202207138

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Journal: Adv Mater Journal subject: Biophysics / Chemistry Year: 2022 Document Type: Article Affiliation country: Adma.202207138