金属酸化物を利用した高機能濾過材の開発  [in Japanese] Development of highly efficient filtering materials made of oxidized metals  [in Japanese]

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Abstract

<p> 酵素吸着能に優れた濾過材の作製を目的として,各種金属酸化物のアミラーゼ吸着能について調べた結果,酸化鉄,酸化アルミニウム及び酸化マンガンの吸着能が高いことが判明した。これらの金属酸化物及びこれら固化物に吸着したアミラーゼは,アルカリ性域の反応性が向上し,pH安定性や熱安定性も向上した。以上のことから,酸化鉄,酸化アルミニウム及び酸化マンガンは,優れた酵素吸着能力を有し,これらを用いることで微生物の増殖による溶存酸素濃度の低下を伴わない高機能な濾過材を作製できる可能性が示唆された。</p>

<p> To prepare efficient filtering materials with high enzyme binding ability, we investigated the effect of binding to various oxidized metals by using amylase derived from bacillus. As a result, we found that oxidized iron, aluminum and manganese retained high enzyme activity as binding forms. Accordingly, we prepared solidified oxidized metals with calcined plaster and olivine, and then obtained the porous filtering materials. We compared the pH dependency, pH stability and heat stability of amylase activities binding to oxidized iron, aluminum and manganese in addition to their solidified forms. We found that amylase binding to oxidized iron, oxidized aluminum and oxidized manganese exhibited higher activities in the alkaline pH range than the non-adsorbed form, while stability in the acidic pH range and heat stability were enhanced. Amylase binding to solidified materials of these oxidized metals exhibited rather higher activities in the alkaline pH range and was more stable in the acidic pH range and against heating. These findings suggest that oxidized iron, aluminum and manganese solidified with calcined plaster and olivine are suitable for preparing efficient filtering materials with high enzyme binding ability without the decrease in dissolved oxygen that accompanies the growth of bacteria.</p>

Journal

  • NIPPON SUISAN GAKKAISHI

    NIPPON SUISAN GAKKAISHI 84(2), 280-287, 2018

    The Japanese Society of Fisheries Science

Codes

  • NII Article ID (NAID)
    130006515937
  • NII NACSIS-CAT ID (NCID)
    AN00193422
  • Text Lang
    JPN
  • ISSN
    0021-5392
  • NDL Article ID
    028949397
  • NDL Call No.
    Z18-345
  • Data Source
    NDL  J-STAGE 
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