Development of automatic combinatorial system for synthesis of nanoparticles using microreactors

Kosuke Watanabe, Yuuichi Orimoto, Kenichi Yamashita, Masato Uehara, Hiroyuki Nakamura, Takeshi Furuya, Hideaki Maeda

    Research output: Contribution to journalConference articlepeer-review

    2 Citations (Scopus)

    Abstract

    In this study, automatic system for combinatorial synthesis of nanoparticles (NPs) was developed and optimization of reaction parameter for NPs synthesis was performed. Microreactor was employed for kinetic control constantly. Programmable equipments were employed for additional speed up and used a microreactor. Six reaction condition parameters were systematically combined to produce CdSe synthesis condition sets. Reaction conditions of 3404 experimental sets were synthesized and characterized in 1 month. As a result of some multivariate analyses using the numerous and complicated data, we found as follows: 1) neural network is an effective method to analyze data from combinatorial synthesis, 2) weighting evaluation method was effective to find the condition for balanced NP properties.

    Original languageEnglish
    Article number082010
    JournalIOP Conference Series: Materials Science and Engineering
    Volume18
    Issue numberSYMPOSIUM 5
    DOIs
    Publication statusPublished - 2011
    Event3rd International Congress on Ceramics, ICC 2011 - Osaka, Japan
    Duration: Nov 14 2010Nov 18 2010

    All Science Journal Classification (ASJC) codes

    • Materials Science(all)
    • Engineering(all)

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