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タイトル
和文:Interactions between protein molecules and the virus removal membrane surface: Effects of immunoglobulin G adsorption and conformational changes on filter performance 
英文:Interactions between protein molecules and the virus removal membrane surface: Effects of immunoglobulin G adsorption and conformational changes on filter performance 
著者
和文: T. Hayashi, 濵本 亮, Hidemi Ito, 廣原 周, 張 嶺碩, Tomoko Hongo-Hirasaki.  
英文: T. Hayashi, Ryo Hamamoto, Hidemi Ito, Makoto Hirohara, Ryongsok Chang, Tomoko Hongo-Hirasaki.  
言語 English 
掲載誌/書名
和文:Biotechnology Progress 
英文:Biotechnology Progress 
巻, 号, ページ Vol. 34    No. 2017 Nov 29    pp. 379-386
出版年月 2018年3月 
出版者
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英文: 
会議名称
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開催地
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公式リンク https://www.ncbi.nlm.nih.gov/pubmed/29193824
 
DOI https://doi.org/10.1002/btpr.2586
アブストラクト Hamamoto, Ryo Ito, Hidemi Hirohara, Makoto Chang, Ryongsok Hongo-Hirasaki, Tomoko Hayashi, Tomohiro eng Biotechnol Prog. 2017 Nov 29. doi: 10.1002/btpr.2586. Membrane fouling commonly occurs in all filter types during virus filtration in protein-based biopharmaceutical manufacturing. Mechanisms of decline in virus filter performance due to membrane fouling were investigated using a cellulose-based virus filter as a model membrane. Filter performance was critically dependent on solution conditions; specifically, ionic strength. To understand the interaction between immunoglobulin G (IgG) and cellulose, sensors coated with cellulose were fabricated for surface plasmon resonance and quartz crystal microbalance with energy dissipation measurements. The primary cause of flux decline appeared to be irreversible IgG adsorption on the surface of the virus filter membrane. In particular, post-adsorption conformational changes in the IgG molecules promoted further irreversible IgG adsorption, a finding that could not be adequately explained by DLVO theory. Analyses of adsorption and desorption and conformational changes in IgG molecules on cellulose surfaces mimicking cellulose-based virus removal membranes provide an effective approach for identifying ways of optimizing solution conditions to maximize virus filter performance. (c) 2017 American Institute of Chemical Engineers Biotechnol. Prog., 000:000-000, 2017.

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