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Polydimethylsiloxane-Paper Hybrid Lateral Flow Assay for Highly Sensitive Point-of-Care Nucleic Acid Testing

  • Jane Ru Choi
  • , Zhi Liu
  • , Jie Hu
  • , Ruihua Tang
  • , Yan Gong
  • , Shangsheng Feng
  • , Hui Ren
  • , Ting Wen
  • , Hui Yang
  • , Zhiguo Qu
  • , Belinda Pingguan-Murphy
  • , Feng Xu
  • Xi'an JiaoTong University
  • University of Malaya
  • Xi'an Jiaotong University
  • Northwestern Polytechnical University Xian
  • The First Affiliated Hospital of Xi’an Jiaotong University
  • Xi'an Diandi Biotech Company

Research output: Contribution to journalArticlepeer-review

122 Scopus citations

Abstract

In nucleic acid testing (NAT), gold nanoparticle (AuNP)-based lateral flow assays (LFAs) have received significant attention due to their cost-effectiveness, rapidity, and the ability to produce a simple colorimetric readout. However, the poor sensitivity of AuNP-based LFAs limits its widespread applications. Even though various efforts have been made to improve the assay sensitivity, most methods are inappropriate for integration into LFA for sample-to-answer NAT at the point-of-care (POC), usually due to the complicated fabrication processes or incompatible chemicals used. To address this, we propose a novel strategy of integrating a simple fluidic control strategy into LFA. The strategy involves incorporating a piece of paper-based shunt and a polydimethylsiloxane (PDMS) barrier to the strip to achieve optimum fluidic delays for LFA signal enhancement, resulting in 10-fold signal enhancement over unmodified LFA. The phenomena of fluidic delay were also evaluated by mathematical simulation, through which we found the movement of fluid throughout the shunt and the tortuosity effects in the presence of PDMS barrier, which significantly affect the detection sensitivity. To demonstrate the potential of integrating this strategy into a LFA with sample-in-answer-out capability, we further applied this strategy into our prototype sample-to-answer LFA to sensitively detect the Hepatitis B virus (HBV) in clinical blood samples. The proposed strategy offers great potential for highly sensitive detection of various targets for wide application in the near future.

Original languageEnglish
Pages (from-to)6254-6264
Number of pages11
JournalAnalytical Chemistry
Volume88
Issue number12
DOIs
StatePublished - 21 Jun 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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