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Ultrasensitive detection of disease biomarkers using an immuno-wall device with enzymatic amplification

  • Keine Nishiyama
  • , Toshihiro Kasama
  • , Seiya Nakamata
  • , Koya Ishikawa
  • , Daisuke Onoshima
  • , Hiroshi Yukawa
  • , Masatoshi Maeki
  • , Akihiko Ishida
  • , Hirofumi Tani
  • , Yoshinobu Baba
  • , Manabu Tokeshi

Research output: Contribution to journalArticlepeer-review

Abstract

We present an ultrasensitive immunoassay system for disease biomarkers utilizing the immuno-wall device and an enzymatic amplification reaction. The immuno-wall device consisted of 40 microchannels, each of which contained an antibody-modified wall-like structure along the longitudinal axis of the microchannel. The wall was fabricated with a water-soluble photopolymer containing streptavidin by photolithography, and biotinylated capture antibodies were immobilized on the sides through streptavidin-biotin interaction. For an assay, introducing the target biomarker and secondary and labeled antibodies produced a sandwich complex anchored on the sides of the wall. A conventional immuno-wall device uses a fluorescence-labeled antibody as a labeling antibody. To achieve an ultrasensitive detection of a trace biomarker, we used an enzyme label and amplified the signal with the enzymatic reaction with a fluorogenic substrate in the microchannel. The highest signal/background ratio was obtained by using alkaline phosphatase-labeled antibody and 9H-(1,3-dichloro-9,9-dimethylacridin-2-one-7-yl) phosphate. To evaluate the device performance, we detected human C-reactive protein (CRP) as a model biomarker. The detection limit (LOD) of CRP in phosphate-buffered saline was 2.5 pg mL-1 with a sample volume of 0.25 μL. This LOD was approximately 3 orders of magnitude lower than that obtained with fluorescent-dye (DyLight 650)-labeled antibody. In addition, the present device provided a wide detection range of 0.0025-10 ng mL-1 for CRP. We successfully developed an ultrasensitive immunoassay system with simple operation and only a small sample volume.

Original languageEnglish
Pages (from-to)4589-4595
Number of pages7
JournalAnalyst
Volume144
Issue number15
DOIs
Publication statusPublished - 07-08-2019
Externally publishedYes

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

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Biochemistry
  • Environmental Chemistry
  • Spectroscopy
  • Electrochemistry

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