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Ultrasensitive and amplification-free detection of SARS-CoV-2 RNA using an electrochemical biosensor powered by CRISPR/Cas13a.
Kashefi-Kheyrabadi, Leila; Nguyen, Huynh Vu; Go, Anna; Lee, Min-Ho.
  • Kashefi-Kheyrabadi L; School of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea; Integrated Graphene Ltd, Euro House, Stirling FK8 2DJ, UK.
  • Nguyen HV; School of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea.
  • Go A; School of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea.
  • Lee MH; School of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea. Electronic address: mhlee7@cau.ac.kr.
Bioelectrochemistry ; 150: 108364, 2023 Apr.
Article in English | MEDLINE | ID: covidwho-2165107
ABSTRACT
This study proposed a CRISPR/Cas13a-powered electrochemical multiplexed biosensor for detecting SARS-CoV-2 RNA strands. Current SARS-CoV-2 diagnostic methods, such as reverse transcription PCR (RT-PCR), are primarily based on nucleic acid amplification (NAA) and reverse transcription (RT) processes, which have been linked to significant issues such as cross-contamination and long turnaround times. Using a CRISPR/Cas13a system integrated onto an electrochemical biosensor, we present a multiplexed and NAA-free strategy for detecting SARS-CoV-2 RNA fragments. SARS-CoV-2 S and Orf1ab genes were detected in both synthetic and clinical samples. The CRISPR/Cas13a-powered biosensor achieved low detection limits of 2.5 and 4.5 ag/µL for the S and Orf1ab genes, respectively, successfully meeting the sensitivity requirement. Furthermore, the biosensor's specificity, simplicity, and universality may position it as a potential rival to RT-PCR.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA, Viral / COVID-19 Type of study: Diagnostic study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: Bioelectrochemistry Journal subject: Biochemistry Year: 2023 Document Type: Article Affiliation country: J.bioelechem.2023.108364

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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA, Viral / COVID-19 Type of study: Diagnostic study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: Bioelectrochemistry Journal subject: Biochemistry Year: 2023 Document Type: Article Affiliation country: J.bioelechem.2023.108364