Development of Robust Breath Odor Analysis Based on Ensemble Analysis of Odor Sensing Data

2023 Fiscal Year Final Research Report

• Project/Area Number: 22K19892
• Research Category: Grant-in-Aid for Challenging Research (Exploratory)
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 90:Biomedical engineering and related fields
• Research Institution: Hokkaido University (2023); The University of Tokyo (2022)
• Principal Investigator: Nagashima Kazuki 北海道大学, 電子科学研究所, 教授 (10585988)
• Project Period (FY): 2022-06-30 – 2024-03-31
• Keywords: 呼気診断 / アンサンブル解析 / 匂いセンシング / 人工嗅覚センサ

Outline of Final Research Achievements

In this research, we used machine learning to correlate the large amount of data on thousands of odor molecules obtained from component analysis, and explored the possibility of monitoring biological conditions using exhaled breath sensing. The blood sugar level is determined based on the interlocking concentration change behavior (ensemble property) of a group of marker molecules that are resistant to environmental changes, and the same principle can also be applied to data obtained by integrated molecular recognition sensor devices. In addition to demonstrating this, we also successfully demonstrated the principle of robust exhalation sensing that is resistant to environmental fluctuations.

Free Research Field

ナノ材料化学

Academic Significance and Societal Importance of the Research Achievements

研究成果の学術的意義は、単一マーカー分子の高感度・高識別検出を目指す従来生体ガスセンシング研究の延長では実現困難な変動環境下における堅牢な生体化学情報の収集・モニタリング機能を実証した点にある。また研究成果における社会的意義は、得られた成果により生体ガスから化学情報を収集・利用する道筋が示され、生体ガスセンシングを介して従来血液検査からしか得られなかった生体化学情報を非侵襲で収集する技術へと展開が期待される点にある。