Hiroyuki Furusawa

Prof. Hiroyuki Furusawa

Yamagata University
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 April 2016 in Macromolecules
Verified
Journal Article
Closed access
HFHiroyuki Furusawa
Hiroyuki Furusawa
TSTomomi Sekine
Tomomi Sekine
TOTomomitsu Ozeki
Tomomitsu Ozeki

15 August 2018 in Technologies
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Journal Article
Open access
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HFHiroyuki Furusawa
Hiroyuki Furusawa
YIYusuke Ichimura
Yusuke Ichimura
KNKuniaki Nagamine
Kuniaki Nagamine
RSRei Shiwaku
Rei Shiwaku
HMHiroyuki Matsui
Hiroyuki Matsui
Shizuo  TokitoShizuo Tokito
Shizuo Tokito
Sensor devices that can be fabricated on a flexible plastic film produced at a low cost using inkjet-printing technology are suitable for point-of-care applications. An organic field-effect transistor (OFET)-based biosensor can function as a potentiometric electrochemical sensor. To investigate the usefulness of an OFET-based biosensor, we demonstrated the detection of 1,5-anhydroglucitol (1,5-AG) and glucose, which are monosaccharides used as biomarkers of diabetes. An OFET-based biosensor combined with a Prussian blue (PB) electrode, modified with glucose oxidase (GOx) or pyranose oxidase (POx), was utilized for the detection of the monosaccharides. When the GOx- or POx-PB electrode was immersed in glucose solution at the determined concentration, shifts in the low-voltage direction of transfer characteristic curves of the OFET were observed to be dependent on the glucose concentrations in the range of 0–10 mM. For 1,5-AG, the curve shifts were observed only with the POx-PB electrode. Detection of glucose and 1,5-AG was achieved in a substrate-specific manner of the enzymes on the printed OFET-biosensor. Although further improvements are required in the detection concentration range, the plastic-filmOFET-biosensors will enable the measurement of not only diabetes biomarkers but also various other biomarkers.

2 March 2021 in Langmuir
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Journal Article
Closed access
RKRyosuke Kanto
Ryosuke Kanto
RYRyo Yonenuma
Ryo Yonenuma
MYMizuki Yamamoto
Mizuki Yamamoto
HFHiroyuki Furusawa
Hiroyuki Furusawa
SYShigekazu Yano
Shigekazu Yano
HMHideharu Mori
Hideharu Mori

11 June 2009 in Journal of the American Chemical Society
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Journal Article
Closed access
STShuntaro Takahashi
Shuntaro Takahashi
MIMasaaki Iida
Masaaki Iida
HFHiroyuki Furusawa
Hiroyuki Furusawa
YSYoshihiro Shimizu
Yoshihiro Shimizu
TUTakuya Ueda
Takuya Ueda
YOYoshio Okahata
Yoshio Okahata

1 January 2016 in Analytical Biochemistry
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Journal Article
Closed access
HFHiroyuki Furusawa
Hiroyuki Furusawa
HNHajime Nakayama
Hajime Nakayama
MFMariko Funasaki
Mariko Funasaki
YOYoshio Okahata
Yoshio Okahata

21 February 2018 in ACS Omega
Verified
Journal Article
Open access
KYKenjiro Yazawa
Kenjiro Yazawa
HFHiroyuki Furusawa
Hiroyuki Furusawa
Interactions between biomolecules are generally analyzed by ensemble measurements, assuming that the interactions occur in a single binding manner. However, such interactions may occur via multiple binding modes. We investigated the kinetics of DNA hybridization as a multiple dynamic model of biomolecular interactions. Two kinetic analyses were performed with a single-molecule observation using total internal reflection fluorescence microscopy (TIRFM) and with ensemble measurements using a quartz-crystal microbalance (QCM) biosensor. We observed the DNA hybridization of 8 and 12 bp DNAs with random sequences and dA12–dT12 and calculated the kinetic parameters, including the dissociation rate constant (koff). Hybridization of 8 bp DNA proceeded mainly via a single binding mode. However, hybridization of 12 bp DNA indicated at least two different binding modes and dA12–dT12 hybridization showed multiple binding modes. For the multiple binding interactions, the kinetic parameters obtained from TIRFM and QCM were different because kinetic parameters obtained from QCM indicate average number of molecules, whereas those from TIRFM indicate average association time. The present study revealed the details of multiple interactions, which can be utilized for better understanding of not only DNA hybridization but also biomolecular interaction mechanisms.