【Grant-in-Aid for Scientific Research (S)】Broad Section C
Title of Project： Dynamical flow control of nanoparticles by machinelearning and its application to single molecule
identification technologies
Satoyuki Kawano(Osaka University, Graduate School of Engineering Science,Professor)
Research Project Number：18H05242 Researcher Number：00250837
Keywords：Molecular fluid dynamics, Nanoparticles, Single molecule measurement, Machine learning
involves manipulation of individual molecules【Purpose and Background of the Research】
using laser irradiation. The application of opticalIn this project, we aim to comprehensively
pressure to drive nanoparticles towards nanogap
investigate the flow dynamics of ions, molecules
electrodes will be investigated for the purpose ofand charged particles in the presence ofachieving a higher yield. The thermophoretic
electromagnetic fields, and to pioneer newforce, which can act in a positive or negative
research areas. As shown in Figure 1, ourdirection, and is still not fully understood, willapproach integrates thermal fluctuations, large
also be utilized. In the second half of the researchdeviation principles, thermophoresis, optical
period, all of the results obtained will bepressure, electrophoresis, quantum electronics
combined in order to develop a micro/nano-fluidic
and machine learning into the field of moleculardevice with embedded nanogap electrodes.
fluid dynamics. Our practical challenge will be thedevelopment of a novel fluidic device with sensing【Expected Research Achievements andnanogap electrodes for identifying nanoparticles.
Scientific Significance】【Research Methods】
By integrating quantum electronics, life sciences,
This project will consist of three different researchstatistical mechanics and information technology
topics. The first involves the identification of
into micro/nano fluid engineering, we expect tosingle molecules using a statistical approach toestablish a new academic field called
thermal fluctuations. We will define additional“Molectro-Fluid Science and Informatics,” anddynamics parameters that extend the scope of thedevelop new techniques for measuring single
fluctuation-dissipation theorem. Novel methods
molecules utilizing fluidic devices. Such devices
for evaluating and controlling rare events will be
can be used for high-speed identification ofdeveloped based on large deviation principles. Themicro/nano-particles such as pollen allergens,second research topic addresses high-speed
viruses, and DNA molecules.
measurement of the tunneling current between
nanogap electrodes, which is a quantum 【Publications Relevant to the Project】
mechanical effect, by sensing nanoparticle flow in・ C. Kawaguchi, T. Noda, M. Tsutsui, M.
aliquidphase
basedonmultiscale
Taniguchi, S. Kawano, T. Kawai, Electricalelectrohydrodynamics (EHD). We intend toDetection of Single Pollen Allergen Particles
establish in situ feedback control of an EHD flow
Using Electrode-Embedded Microchannels, J.
and to design optimized fluidic channels using
Phys.: Condens. Matter, 24, 164202, 2012.
machine learning. The final research topic
・ I. Hanasaki, N. Yukimoto, S. Uehara, H.
Shintaku, S. Kawano, Linearisation of λDNA
Molecules by Instantaneous Variation of theTrapping
Electrode
Voltage
Insidea
Micro-Channel, J. Phys. D, 48, 135402, 2015.
【Term of Project】FY2018-2022【Budget Allocation】119,000 Thousand Yen【Homepage Address and Other Contact
Information】
http://bnf.me.es.osaka-u.ac.jp/Figure 1 Overview of fluidic device for identifying
pollen allergens, viruses, and DNA molecules- 82 -