ORCID Profile
0000-0003-3597-596X
Current Organisation
University of Tokyo
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Publisher: American Chemical Society (ACS)
Date: 20-07-2011
DOI: 10.1021/AC201337E
Abstract: In industry as well as many areas of scientific research, data collected often contain a number of responses of interest for a chosen set of exploratory variables. Optimization of such multivariable multiresponse systems is a challenge well suited to genetic algorithms as global optimization tools. One such ex le is the optimization of coating surfaces with the required absolute and relative sensitivity for detecting analytes using devices such as sensor arrays. High-throughput synthesis and screening methods can be used to accelerate materials discovery and optimization however, an important practical consideration for successful optimization of materials for arrays and other applications is the ability to generate adequate information from a minimum number of experiments. Here we present a case study to evaluate the efficiency of a novel evolutionary model-based multiresponse approach (EMMA) that enables the optimization of a coating while minimizing the number of experiments. EMMA plans the experiments and simultaneously models the material properties. We illustrate this novel procedure for materials optimization by testing the algorithm on a sol-gel synthetic route for production and optimization of a well studied amino-methyl-silane coating. The response variables of the coating have been optimized based on application criteria for micro- and macro-array surfaces. Spotting performance has been monitored using a fluorescent dye molecule for demonstration purposes and measured using a laser scanner. Optimization is achieved by exploring less than 2% of the possible experiments, resulting in identification of the most influential compositional variables. Use of EMMA to optimize control factors of a product or process is illustrated, and the proposed approach is shown to be a promising tool for simultaneously optimizing and modeling multivariable multiresponse systems.
Publisher: Royal Society of Chemistry (RSC)
Date: 2022
DOI: 10.1039/D2CP03627D
Abstract: Single molecule experiments have recently attracted enormous interest. Many of these studies involve the encapsulation of a single molecule into nanoscale containers (such as vesicles, droplets and nanowells). In such cases, the single molecule encapsulation efficiency is a key parameter to consider in order to get a statistically significant quantitative information. It has been shown that such encapsulation typically follows a Poisson distribution and such theory of encapsulation has only been applied to the encapsulation of single molecules into perfectly sized monodispersed containers. However, experimentally nanocontainers are usually characterized by a size distribution, and often just a single binding pair (rather than a single molecule) is required to be encapsulated. Here the use of Poisson distribution is extended to predict the encapsulation efficiency of two different molecules in an association equilibrium. The Poisson distribution is coupled with a log-normal distribution in order to consider the effect of the container size distribution, and the effect of adsorption to the container is also considered. This theory will allow experimentalists to determine what single molecule encapsulation efficiency can be expected as a function of the experimental conditions. Two case studies, based on experimental data, are given to support the theoretical predictions.
Publisher: American Chemical Society (ACS)
Date: 16-02-2021
Publisher: Royal Society of Chemistry (RSC)
Date: 2020
DOI: 10.1039/D0MA00442A
Abstract: This study presents the first application of the solvent injection method to synthesize polydiacetylene vesicles.
Publisher: Wiley
Date: 20-12-2022
Abstract: We propose a theoretical model for the influence of confinement on biomolecular binding at the single-molecule scale at equilibrium, based on the change of the number of microstates (localization and orientation) upon reaction. Three cases are discussed: DNA sequences shorter and longer than the single strain DNA Kuhn length and spherical proteins, confined into a spherical container (liposome, droplet, etc.). The influence of confinement is found to be highly dependent on the molecular structure and significant for large molecules (relative to container size).
Publisher: American Chemical Society (ACS)
Date: 09-12-2020
Publisher: Wiley
Date: 29-01-2023
Abstract: The ongoing COVID‐19 pandemic has been a daunting challenge for healthcare systems worldwide. The World Health Organization has recommended various measures to reduce or limit the spread of the virus, one of which includes the use of face masks. This increase in their demand has provided a unique opportunity to improve the technology by offering, in addition to their inherent protection, therapeutic benefits. One such benefit involves inhaled nitric oxide (iNO) therapy. iNO has proven to be a beneficial therapeutic in patients with acute, hypoxemic respiratory failure and lung injury. Specifically, its potential application stems from its ability to rapidly increase oxygen partial pressure in arterial blood. However, iNO treatments generally require pressurized gas cylinders which are coupled with high costs and lack of portability. A face mask which can deliver therapeutic NO is developed using humidity‐triggered NO‐releasing nanoparticles. This platform can deliver a low dose of 2.1–2.5 ppm NO for 90 min in a sustained manner. Moreover, it can be stored for extended periods of time and can be easily transported due to its light weight. This NO mask has the potential to alleviate the strain that affects financially limited healthcare systems in developing regions.
Publisher: American Chemical Society (ACS)
Date: 22-12-2014
DOI: 10.1021/CM502882A
Publisher: Wiley
Date: 09-02-2021
Publisher: Wiley
Date: 31-05-2012
Abstract: A proof-of-concept for the development of a fast and portable Hendra virus biosensor is presented. Hendra virus, a deadly emerging pathogen in Australia, can be co-localized, concentrated and revealed using simultaneously magnetic and luminescent functional particles. This method should be applicable for the early detection of any other virus by targeting the specific virus with the corresponding antibody.
Publisher: Royal Society of Chemistry (RSC)
Date: 2019
DOI: 10.1039/C9AN01519A
Abstract: A glucose meter-based immunosensing platform that allows the quantification of procalcitonin in whole blood s les at clinically-relevant concentrations.
Publisher: Wiley
Date: 04-07-2016
Publisher: Elsevier BV
Date: 07-2017
Publisher: American Chemical Society (ACS)
Date: 24-04-2020
Publisher: Elsevier BV
Date: 2020
DOI: 10.1016/J.BIOS.2019.111835
Abstract: Personal glucose meters (PGMs) have been used for the measurement of blood glucose for decades now such that they have become the most used analytical method in the world. They are also well placed to be repurposed for point-of-care testing of other analytes as they are inexpensive, portable and quantitative. Efforts to repurpose PGMs for the detection of any analyte at the point-of-care have been one focus of biosensor research for several years now with a number of successful efforts in the detection of a wide range of analytes. This article reviews the published methods to repurpose a PGM to detect analytes other than glucose, and analyses the potential and the challenges to be overcome in developing a PGM-based biosensor and bring it to market.
Publisher: Elsevier BV
Date: 03-2022
Publisher: Wiley
Date: 20-07-2011
Publisher: Springer Science and Business Media LLC
Date: 29-04-2022
Publisher: Springer Science and Business Media LLC
Date: 07-06-2011
Publisher: Zenodo
Date: 2020
Publisher: Royal Society of Chemistry (RSC)
Date: 2012
DOI: 10.1039/C2JM32863A
Publisher: American Chemical Society (ACS)
Date: 28-02-2023
Publisher: MDPI AG
Date: 05-02-2021
DOI: 10.3390/CHEMOSENSORS9020033
Abstract: Although its first definition dates back to more than a century ago, pH and its measurement are still studied for improving the performance of current sensors in everyday analysis. The gold standard is the glass electrode, but its intrinsic fragility and need of frequent calibration are pushing the research field towards alternative sensitive devices and materials. In this review, we describe the most recent optical, electrochemical, and transistor-based sensors to provide an overview on the status of the scientific efforts towards pH sensing.
Start Date: 2021
End Date: 2022
Funder: Japan Society for the Promotion of Science
View Funded ActivityStart Date: 2022
End Date: 2023
Funder: Japan Society for the Promotion of Science
View Funded Activity