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Design of a Sensitive Extracellular Vesicle Detection Method Utilizing a Surface-Functionalized Power-Free Microchip.
Ishihara, Ryo; Katagiri, Asuka; Nakajima, Tadaaki; Matsui, Ryo; Hosokawa, Kazuo; Maeda, Mizuo; Tomooka, Yasuhiro; Kikuchi, Akihiko.
Afiliação
  • Ishihara R; Faculty of Medicine, Juntendo University, Chiba 270-1695, Japan.
  • Katagiri A; Department of Materials Science and Technology, Tokyo University of Science, Tokyo 125-8585, Japan.
  • Nakajima T; Department of Bioengineering and Technology, Tokyo University of Science, Tokyo 125-8585, Japan.
  • Matsui R; Department of Materials Science and Technology, Tokyo University of Science, Tokyo 125-8585, Japan.
  • Hosokawa K; Bioengineering Laboratory, RIKEN Cluster for Pioneering Research, RIKEN, Saitama 351-0198, Japan.
  • Maeda M; Bioengineering Laboratory, RIKEN Cluster for Pioneering Research, RIKEN, Saitama 351-0198, Japan.
  • Tomooka Y; Department of Bioengineering and Technology, Tokyo University of Science, Tokyo 125-8585, Japan.
  • Kikuchi A; Department of Materials Science and Technology, Tokyo University of Science, Tokyo 125-8585, Japan.
Membranes (Basel) ; 12(7)2022 Jun 30.
Article em En | MEDLINE | ID: mdl-35877881
Extracellular vesicles (EVs), which are small membrane vesicles secreted from cells into bodily fluids, are promising candidates as biomarkers for various diseases. We propose a simple, highly sensitive method for detecting EVs using a microchip. The limit of detection (LOD) for EVs was improved 29-fold by changing the microchannel structure of the microchip and by optimizing the EV detection protocols. The height of the microchannel was changed from 25 to 8 µm only at the detection region, and the time for EV capture was extended from 5 to 10 min. The LOD was 6.3 × 1010 particles/mL, which is lower than the concentration of EVs in the blood. The detection time was 19 min, and the volume of EV solution used was 2.0 µL. These results indicate that an efficient supply of EVs to the detection region is effective in improving the sensitivity of EV detection. The proposed EV detection method is expected to contribute to the establishment of EV-based cancer point-of-care testing.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Membranes (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Membranes (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão País de publicação: Suíça