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Rapid and High‐Throughput SARS‐CoV‐2 RNA Detection without RNA Extraction and Amplification by Using a Microfluidic Biochip
Author(s) -
Chu Yujin,
Qiu Jiaoyan,
Wang Yihe,
Wang Min,
Zhang Yu,
Han Lin
Publication year - 2022
Publication title -
chemistry – a european journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.687
H-Index - 242
eISSN - 1521-3765
pISSN - 0947-6539
DOI - 10.1002/chem.202104054
Subject(s) - biochip , rna , rna extraction , microfluidics , covid-19 , recombinase polymerase amplification , detection limit , reverse transcription polymerase chain reaction , polymerase chain reaction , virology , computational biology , messenger rna , biology , chemistry , chromatography , nanotechnology , gene , medicine , bioinformatics , infectious disease (medical specialty) , materials science , disease , biochemistry , pathology
The ongoing outbreak of the severe acute respiratory syndrome‐coronavirus 2 (SARS‐CoV‐2) has spread globally and poses a threat to public health and National economic development. Rapid and high‐throughput SARS‐CoV‐2 RNA detection without the need of RNA extraction and amplification remain a key challenge. In this study, a new SARS‐CoV‐2 RNA detection strategy using a microfluidic biochip for the rapid and ultrasensitive detection of SARS‐CoV‐2 without RNA extraction and amplification was developed. This new strategy takes advantage of the specific SARS‐CoV‐2 RNA and probe DNA reaction in the microfluidic channel, fluorescence signal regulation by nanomaterials, and accurate sample control by the microfluidic chip. It presents an ultralow limit of detection of 600 copies mL −1 in a large linear detection regime from 1 aM to 100 fM. Fifteen samples were simultaneously detected in 40 min without the need for RNA purification and amplification. The detection accuracy of the strategy was validated through quantitative reverse transcription polymerase chain reaction (qRT‐PCR), with a recovery of 99–113 %. Therefore, the SARS‐CoV‐2 RNA detection strategy proposed in this study can potentially be used for the quantitative diagnosis of viral infectious diseases.