論文

査読有り
2018年2月15日

Pure Photosynthates Extraction Sensor Device with Highly Precise Phloem/Xylem Position Identification

IEEE Sensors Journal
  • Akihito Ono
  • ,
  • Akihito Yoneda
  • ,
  • Hiroki Ishizuka
  • ,
  • Kyohei Terao
  • ,
  • Hidekuni Takao
  • ,
  • Naoshi Takahashi
  • ,
  • Tsuyoshi Kobayashi
  • ,
  • Ikuo Kataoka
  • ,
  • Fusao Shimokawa

18
4
開始ページ
1739
終了ページ
1746
記述言語
掲載種別
研究論文(学術雑誌)
DOI
10.1109/JSEN.2017.2787112

© 2017 IEEE. We propose a pure photosynthates extraction sensor device integrated with highly precise phloem/xylem position identification to quantitatively monitor the components of internal higher plants, which is a key indicator for controlling stable crop production. The essential functions of the device are high-precisely identifying phloem/xylem positions based on electrical conductivity and extracting pure phloem sap. We fabricated the proposed device with microelectromechanical systems technology and evaluated its effectiveness. It is confirmed that the performance of our fabricated electrical conductivity sensor is almost equal to that of a commercially available meter. (The error of these characteristic lines is less than 5%.) Experiments with cucumber stems confirmed that the device can precisely measure the electrical conductivity of phloem/xylem sap in the appropriate range of internal plants or soil (0.0-1.0 mS/cm), identifying their positions stably over a long period. Extraction experiments demonstrated that phloem sap from the internal plant flows readily into the extraction flow channel and a reservoir. Therefore, we clearly demonstrated the feasibility of a novel sensor device that can conveniently identify the phloem positions and extract pure photosynthates samples in agricultural situations.

リンク情報
DOI
https://doi.org/10.1109/JSEN.2017.2787112
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039778614&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85039778614&origin=inward
ID情報
  • DOI : 10.1109/JSEN.2017.2787112
  • ISSN : 1530-437X
  • SCOPUS ID : 85039778614

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