Masanobu Motooka

Mr. Masanobu Motooka


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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1 February 2017 in Sensors
Verified
Journal Article
Open access
TKTatsumi Kuretake
Tatsumi Kuretake
SKShogo Kawahara
Shogo Kawahara
MMMasanobu Motooka
Masanobu Motooka
SUShigeyasu Uno
Shigeyasu Uno
This paper presents a novel method of fabricating an enzymatic biosensor for breath analysis using chromatography paper as enzyme supporting layer and a liquid phase layer on top of screen printed carbon electrodes. We evaluated the performance with ethanol vapor being one of the breathing ingredients. The experimental results show that our sensor is able to measure the concentration of ethanol vapor within the range of 50 to 500 ppm. These results suggest the ability of detecting breath ethanol, and it can possibly be applied as a generic vapor biosensor to a wide range of diseases.

2 February 2018 in Sensors
Verified
Journal Article
Open access
PDF file
MMMasanobu Motooka
Masanobu Motooka
SUShigeyasu Uno
Shigeyasu Uno
Breath analysis is considered to be an effective method for point-of-care diagnosis due to its noninvasiveness, quickness and simplicity. Gas sensors for breath analysis require detection of low-concentration substances. In this paper, we propose that reduction of the background current improves the limit of detection of enzymatic biogas sensors utilizing chromatography paper. After clarifying the cause of the background current, we reduced the background current by improving the fabrication process of the sensors utilizing paper. Finally, we evaluated the limit of detection of the sensor with the sample vapor of ethanol gas. The experiment showed about a 50% reduction of the limit of detection compared to previously-reported sensor. This result presents the possibility of the sensor being applied in diagnosis, such as for diabetes, by further lowering the limit of detection.

29 November 2017 in Proceedings
Verified
Conference Paper
Open access
PDF file
MMMasanobu Motooka
Masanobu Motooka
SUShigeyasu Uno
Shigeyasu Uno
Breath analysis is an attractive method for chronic diseases because it offers noninvasive, point-of-care diagnostics.