A Precise Sampling Strip with Microstructures

H. Kamiya, T. Ota, Hiroki Yasuga, N. Miki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper presents a precise sampling microstructure formed as a paper strip. We have been developing dialysis system that can be implanted into a human body as an artificial kidney. For the safe use of our artificial kidney, the patients' urine needs to be constantly monitored to detect the abnormal value of ion concentration essential for human life. We are conceiving the monitoring system based on sampling by a paper strip. In this study, we fabricated the strip consisting of slanted and interlocked micropillars for the sampling, known as synthetic microfluidic paper. The paper-like substrate can be fabricated with a well-controlled geometry and subsequently enables precise sampling. Through the conducted experiments, it was shown that synthetic microfluidic paper had better mechanical properties, showed more precision in sampling than paper filter as well as corresponding liquid holding capability to the paper filter. Our proposed paper-based sampling system is expected to lead to the development of minimally invasive ion monitoring system with quantitative sampling strip.

本文言語English
ホスト出版物のタイトル40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3837-3840
ページ数4
ISBN(電子版)9781538636466
DOI
出版ステータスPublished - 2018 10月 26
外部発表はい
イベント40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
継続期間: 2018 7月 182018 7月 21

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2018-July
ISSN(印刷版)1557-170X

Other

Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
国/地域United States
CityHonolulu
Period18/7/1818/7/21

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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