松根 英樹 (マツネ ヒデキ)

MATSUNE Hideki

写真a

所属

工学教育研究部 工学科応用物質化学プログラム担当

職名

准教授

外部リンク

学位 【 表示 / 非表示

  • 博士(工学) ( 2002年3月   九州大学 )

研究分野 【 表示 / 非表示

  • ものづくり技術(機械・電気電子・化学工学) / 反応工学、プロセスシステム工学

 

論文 【 表示 / 非表示

  • Removal and mechanism of heavy metals and precious metals from aqueous solution by adsorption with livestock biomass with chemical treatment 査読あり

    Enkhzaya S., Matsune H., Shiomori K., Oyuntstseg B.

    AIP Conference Proceedings   2360   2021年9月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:AIP Conference Proceedings  

    This study examined the adsorption of heavy metals and precious metals from aqueous solution by livestock biomass as biosorbents and their treatment effect with reducing chemicals. The adsorption of copper, lead and cadmium was carried out using sheep wool, sheep manure and sheep fat. The copper adsorption was highest among three biosorbents. Sheep wool was treated with an aqueous solution of Na2S, NaOH, NaHSO3, and NaBH4 to enhance the adsorption ability. The Na2S treatment of sheep wool dramatically enhanced the adsorption amount of Au(III) and Cr(III) and was several effective for Cu(II) and Cr(IV). All adsorption results were confirmed with the Langmuir isotherm model in the equilibrium and Pseudo-second order model in the kinetics. From the adsorption properties and ESCA analysis of sheep wool adsorbed each metal, it was confirmed that Au(III) interacted with thiol and amino groups, Cu(II) and Cr(III) with a carboxyl group, and Cr(VI) with the amino group of sheep wool.

    DOI: 10.1063/5.0059664

    Scopus

  • Preparation of polystyrene microcapsules containing saline water droplets via solvent evaporation method and their structural distribution analysis by machine learning 査読あり

    Batchuluun S., Matsune H., Shiomori K., Bayanjargal O., Baasankhuu T.

    Journal of Chemical Engineering of Japan   54 ( 9 )   517 - 524   2021年9月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Journal of Chemical Engineering of Japan  

    Most microcapsule preparation methods produce a population of microcapsules in a bulk solution. To control the microcapsule preparation or obtain an optimal preparation condition, the mechanism of the microcapsule preparation should be investigated. The mechanism is estimated via structure reformation during the preparation process because diameter and wall thickness are drastically altered in the solution. Considering microcapsule applications, some important properties, such as the mechanical properties of microcapsules and release rate of the encapsulated product, depend on the microcapsule structure. In this study, polystyrene microcapsules containing saline water droplets were prepared via the solvent evaporation method from a solid-in-oil-in-water (S/O/W) emulsion system. The microcapsules exhibited a specific structural distribution, which comprised monocore, multicore, and solidcore structures. The structural distribution was altered by the preparation condition. The monocore structure was absolutely dominant owing to the increase in the amount of calcium chloride added in the organic phase. The salt concentration is not the sole controlling factor of the microcapsule structure, as the surfactant and dispersion exerted a significant impact on the microcapsule structure. The structural distribution was automatically analyzed by a machine learning algorithm (MLA). The decision-making time for the microcapsules preparation was shortened by the accelerated structure determination, and the accuracy was improved by increasing the number of counting particles.

    DOI: 10.1252/jcej.21we052

    Scopus

  • Analysis of the microcapsule structure based on machine learning algorithm 査読あり

    Batchuluun S., Matsune H., Shiomori K., Bayanjargal O., Baasankhuu T.

    Journal of Physics: Conference Series   1763 ( 1 )   2021年2月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Journal of Physics: Conference Series  

    For the microcapsules preparation process, the mechanism is estimated by structure reformation during the preparation process since diameter and wall thickness drastically changed. Microstructures are recently studied by machine learning techniques. The Hough transformation algorithm is used by other researchers for the preparation of the microcapsules but it is difficult to determine the mechanism by using only a diameter change of the microcapsules. Therefore, one additional way to establish the mechanism is the analysis of the formation of the microcapsule structure. In this study, The Hough transformation algorithm was used for the image segmentation, the simple feature extractions were checked and the support vector machine and the k-nearest neighbors algorithm were used as classifiers in order to analyze the structure of the microcapsules which were prepared by solvent evaporation method from a solid in oil in water, S/O/W, emulsion system. The structural distribution was analyzed by the developed detection method. The microcapsules had a specific structural distribution which are monocore, multicore, and other aggregated structures. The structural distribution was changed by the preparation condition. The monocore structure was dominant by increasing in the amount of water soluble solid particles added in the organic phase.

    DOI: 10.1088/1742-6596/1763/1/012030

    Scopus

  • Chromium adsorption on sodium sulfide treated sheep wool 査読あり

    Enkhzaya S., Matsune H., Shiomori K., Oyuntsetseg B.

    Journal of Physics: Conference Series   1763 ( 1 )   2021年2月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Journal of Physics: Conference Series  

    Chromium adsorption from the aqueous phase was evaluated using Mongolian sheep wool as a biosorbent. The wool was chemically treated with sodium sulfide to enhance the adsorption capacity. The surface of the wool was analyzed by SEM. EDX and FTIR were also used for the analysis of differences in the wool after chromium adsorption. Chromium was detected in the wool after adsorption by EDX analysis. FTIR data indicated the intensity change in amide A and amide I, which shows chromium may be adsorbed to the amino and carboxyl groups of the wool. The sodium sulfide treated wool showed better adsorption capacity of chromium(III) than the untreated wool. In the case of chromium(III), the adsorption amount increased with the pH increased, while for chromium(VI), the adsorption value increased with the pH decreased. Kinetic analysis of the adsorption indicated that the removal of chromium followed pseudo-second order kinetic model for the whole contact time range. Langmuir isotherm model was used for the analysis of adsorption equilibrium and the adsorption followed well Langmuir isotherm. This study demonstrates the sodium sulfide treated wool is an effective and low-cost biosorbent for heavy metal adsorption.

    DOI: 10.1088/1742-6596/1763/1/012009

    Scopus

  • Recent developments of microcapsules and polymer particles for separation medium 査読あり

    Shiomori K., Matsune H., Kiyoyama S., Takei T., Yoshida M., Umakoshi H.

    Journal of Physics: Conference Series   1763 ( 1 )   2021年2月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Journal of Physics: Conference Series  

    Microcapsules and porous polymer particles containing extractants, which are functional molecules to extract target ions or molecules by specific interaction using in solvent extraction process, are expected to be an effective separation medium of various substances from aqueous solution in hydrometallurgical process of harmful or valuable metals and in environmental protection processes from various pollutants. The preparation method, encapsulating materials and application area of these materials has been developed and extended in recent years. Recent topics of this field was been presented. The research on the polymeric particles for separation medium investigated by authors was introduced and showed the structural effect of the polymeric particles containing extractant on the separation performance of metal ion and chiral separation of amino acids by porous particles impregnated with phospholipids.

    DOI: 10.1088/1742-6596/1763/1/012011

    Scopus

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  • 逆ライデンフロスト効果を活用したsponge-likeクライオゲル粒子の開発

    高瀬 隼・ 塩盛 弘一郎・岡本 行広・ 渡邊 望美・ 松根 英樹・ 馬越 大

    化学工学会87年会  2022年3月18日 

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    開催年月日: 2022年3月16日 - 2022年3月18日

    会議種別:ポスター発表  

  • ゲルマイクロカプセルへの水溶性成分の高内包化と放出制御

    溜水 大和,松根英樹,清山 史郎,武井 孝行, 吉田 昌弘,塩盛 弘一郎

    第23回化学工学会学生発表会  2021年3月6日  化学工学会

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    開催年月日: 2021年3月6日

    記述言語:日本語   会議種別:口頭発表(一般)  

  • トレハロース集合体を保護剤に用いて調製した酵素内包カプセル

    岸田 昌浩,山本 剛,塩盛 弘一郎

    化学工学会第51回秋季大会(2020)  (オンライン開催)  2020年9月24日  化学工学会

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    開催年月日: 2020年9月24日 - 2020年9月26日

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:オンライン開催  

  • アルキルアミンを用いた銀ナノワイヤーの大量合成法

    若松 寿紀,松根 英樹,塩盛 弘一郎

    第23回化学工学会学生発表会  2020年3月6日  化学工学会

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    開催年月日: 2020年3月6日

    記述言語:日本語   会議種別:口頭発表(一般)  

  • 層状複水酸化物を内包したクライオゲル粒子またはマイクロカプセルの調製と有害物質の吸着特性

    黒木 貴裕,松根 英樹,塩盛 弘一郎

    第23回化学工学会学生発表会  2020年3月6日  化学工学会

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    開催年月日: 2020年3月6日

    記述言語:日本語   会議種別:口頭発表(一般)  

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科研費(文科省・学振・厚労省)獲得実績 【 表示 / 非表示

  • オリゴシルセスキオキサンを用いた次世代型遺伝子導入剤の開発

    研究課題/領域番号:22K04818  2022年04月 - 2025年03月

    日本学術振興会  科学研究費補助金  基盤研究(C)

    松根 英樹

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    担当区分:研究代表者 

  • 糖ナノ粒子を犠牲母材に用いた酵素内包シリカナノカプセルの新規調製法と機能評価

    研究課題/領域番号:19K05141  2019年04月 - 2021年03月

    日本学術振興会   科学研究費補助金  基盤研究(C)

    松根 英樹

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    担当区分:研究代表者 

  • 微生物のヒ素メチル基転移酵素を内包した高メチル化活性カプセルの開発

    研究課題/領域番号:21K12296  2021年04月 - 2024年03月

    日本学術振興会  科学研究費補助金  基盤研究(C)(一般)

    宮武 宗利

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    担当区分:研究分担者 

  • 高分子超多孔体に固定化した機能性自己組織分子相の特性解析と分離への応用 国際共著

    研究課題/領域番号:20K05198  2020年04月 - 2023年03月

    科学研究費補助金  基盤研究(C)

    塩盛弘一郎

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    担当区分:研究分担者