Evaluation of biofouling for implantable micro dialysis system

T. Ota, N. To, Y. Kanno, Norihisa Miki

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Implantable artificial kidney can drastically improve the quality of life of the renal disease patients. In previous study, our group has developed a multi-layered micro dialysis device which is composed of micro stainless steel channels and nano-porous polyethersulfone (PES) membranes. The device conducts hemofiltration without dialysis fluids, which is advantageous in miniaturization. We investigated the water-permeability of the PES membrane through in vivo experiments using rat model of renal disease for 5 hours and verified the effectiveness of the device. We investigated the permeability of PES membrane via in vitro experiments for 24 days. Biofouling on the PES membrane was found and caused deterioration of dialysis performance of the membrane. In this research, we investigated the biofouling such as thrombus, coagulation and protein adhesion on the sidewall of the micro fluidic channels. We investigated the micro fluidic channel geometry and surface condition associated with the processing methods. Conducting in vitro experiment for 7 days, biofouling was found to be mainly caused by the surface conditions. The mirror surface formed by electrolytic etching could substantially prevent biofouling.

本文言語English
ホスト出版物のタイトル2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1942-1945
ページ数4
2016-October
ISBN(電子版)9781457702204
DOI
出版ステータスPublished - 2016 10 13
イベント38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
継続期間: 2016 8 162016 8 20

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
国/地域United States
CityOrlando
Period16/8/1616/8/20

ASJC Scopus subject areas

  • 信号処理
  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学

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