LAMP-Based 4-Channel Microfluidic Chip for POCT Detection of Influenza A H1N1, H3N2, and Influenza B Victoria Viruses

<b>Background</b>: Influenza viruses are major pathogens responsible for respiratory infections and pose significant risks to densely populated urban areas. RT-qPCR has made substantial contributions in controlling virus transmission during previous COVID-19 epidemics, but it faces challenges in terms of detection time for large sample sizes and susceptibility to nucleic acid contamination. <b>Methods</b>: Our study designed loop-mediated isothermal amplification primers for three common influenza viruses: A/H3N2, A/H1N1, and B/Victoria, and utilized a 4-channel microfluidic chip to achieve simultaneous detection. The chip initiates amplification by centrifugation and allows testing of up to eight samples at a time. <b>Results</b>: By creating a closed amplification system in the microfluidic chip, aerosol-induced nucleic acid contamination can be prevented through physically isolating the reaction from the operating environment. The chip can specifically detect A/H1N1, A/H3N2, and B/Victoria and has no signal for other common respiratory viruses. The testing process can be completed within 1 h and can be sensitive to viral RNA at concentrations as low as 10<sup>-3</sup> ng/μL for A/H1N1 and A/H3N2 and 10<sup>-1</sup> ng/μL for B/Victori. A total of 296 virus swab samples were further analyzed using the microfluidic chip method and compared with the classical qPCR method, which resulted in high consistency. <b>Conclusions</b>: Our chip enables faster detection of influenza virus and avoids nucleic acid contamination, which is beneficial for POCT establishment and has lower requirements for the operating environment.

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Publication Details

Journal
Biosensors
Published
2025-08-04
DOI
https://doi.org/10.3390/bios15080506
Citations
2
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
2.71

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article

LAMP-Based 4-Channel Microfluidic Chip for POCT Detection of Influenza A H1N1, H3N2, and Influenza B Victoria Viruses

Xue Zhao, Jilie Kong, Jiale Gao, Min Chen et al.
2 citations
Biosensors
Respiratory viral infections research
2.71
article

LAMP-Based 4-Channel Microfluidic Chip for POCT Detection of Influenza A H1N1, H3N2, and Influenza B Victoria Viruses

Xue Zhao, Jilie Kong, Jiale Gao, Min Chen, Huanyu Wu, Xin Chen, Xi Zhang, Zheng Teng, Yijing Gu
article en
2 citations

Abstract

<b>Background</b>: Influenza viruses are major pathogens responsible for respiratory infections and pose significant risks to densely populated urban areas. RT-qPCR has made substantial contributions in controlling virus transmission during previous COVID-19 epidemics, but it faces challenges in terms of detection time for large sample sizes and susceptibility to nucleic acid contamination. <b>Methods</b>: Our study designed loop-mediated isothermal amplification primers for three common influenza viruses: A/H3N2, A/H1N1, and B/Victoria, and utilized a 4-channel microfluidic chip to achieve simultaneous detection. The chip initiates amplification by centrifugation and allows testing of up to eight samples at a time. <b>Results</b>: By creating a closed amplification system in the microfluidic chip, aerosol-induced nucleic acid contamination can be prevented through physically isolating the reaction from the operating environment. The chip can specifically detect A/H1N1, A/H3N2, and B/Victoria and has no signal for other common respiratory viruses. The testing process can be completed within 1 h and can be sensitive to viral RNA at concentrations as low as 10<sup>-3</sup> ng/μL for A/H1N1 and A/H3N2 and 10<sup>-1</sup> ng/μL for B/Victori. A total of 296 virus swab samples were further analyzed using the microfluidic chip method and compared with the classical qPCR method, which resulted in high consistency. <b>Conclusions</b>: Our chip enables faster detection of influenza virus and avoids nucleic acid contamination, which is beneficial for POCT establishment and has lower requirements for the operating environment.

BiosensorsVol. 15(8)
Tongji University (CN), Fudan University (CN), Shanghai Municipal Center For Disease Control Prevention (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Respiratory viral infections research
2.71
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