AIを用いたポリジアセチレンによる分子指紋判定技術

• Project/Area Number: 24KJ0819
• Research Category: Grant-in-Aid for JSPS Fellows
• Allocation Type: Multi-year Fund
• Section: 国内
• Review Section: Basic Section 13040:Biophysics, chemical physics and soft matter physics-related
• Research Institution: The University of Tokyo
• Principal Investigator: CHEN JIALI 東京大学, 大学院工学系研究科(工学部), 特別研究員(DC1)
• Project Period (FY): 2024-04-23 – 2027-03-31
• Project Status: Granted (Fiscal Year 2024)
• Budget Amount: ¥2,300,000 (Direct Cost: ¥2,300,000); Fiscal Year 2026: ¥400,000 (Direct Cost: ¥400,000); Fiscal Year 2025: ¥800,000 (Direct Cost: ¥800,000); Fiscal Year 2024: ¥1,100,000 (Direct Cost: ¥1,100,000)

Outline of Research at the Start

Polydiacetylene (PDA) is a sensing polymer that exhibits responses to various stimuli, including biomolecules. Through hyperspectral microscopy, it show the ability to identify the fingerprints of molecules. We will develop a biomolecular functional assay using AI for diagnostics and drug screening.