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  1. 学術雑誌論文
  2. Chemical & pharmaceutical bulletin

Optimization of Primary Drying Condition for Pharmaceutical Lyophilization Using a Novel Simulation Program with a Predictive Model for Dry Layer Resistance

https://stella.repo.nii.ac.jp/records/454
https://stella.repo.nii.ac.jp/records/454
ff4007ca-a129-4437-9127-721818fb5377
名前 / ファイル ライセンス アクション
ChemPharmBull_62‐2_p153.pdf ChemPharmBull_62‐2_p153.pdf (673.9 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2016-02-01
タイトル
タイトル Optimization of Primary Drying Condition for Pharmaceutical Lyophilization Using a Novel Simulation Program with a Predictive Model for Dry Layer Resistance
言語 en
言語
言語 eng
キーワード
言語 en
主題Scheme Other
主題 simulation
キーワード
言語 en
主題Scheme Other
主題 dry layer mass transfer resistance
キーワード
言語 en
主題Scheme Other
主題 maximum product temperature
キーワード
言語 en
主題Scheme Other
主題 primary drying time
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 Kodama, Tatsuhiro

× Kodama, Tatsuhiro

en Kodama, Tatsuhiro

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Sawada, Hiroyuki

× Sawada, Hiroyuki

en Sawada, Hiroyuki

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Hosomi, Hiroshi

× Hosomi, Hiroshi

en Hosomi, Hiroshi

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Takeuchi, Masahito

× Takeuchi, Masahito

en Takeuchi, Masahito

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Wakiyama, Naoki

× Wakiyama, Naoki

en Wakiyama, Naoki

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Yonemochi, Etsuo

× Yonemochi, Etsuo

en Yonemochi, Etsuo

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Terada, Katsuhide

× Terada, Katsuhide

en Terada, Katsuhide

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抄録
内容記述タイプ Abstract
内容記述 The purpose of this study was to develop a novel simulation program to accurately predict the maximum product temperature and the primary drying time in lyophilization using the predictive model for dry layer resistance, which is the resistance of dried cake against water vapor flow. Ten percent sucrose aqueous solution was selected as a model formulation. It was demonstrated that the deviations between the predicted and measured maximum product temperature were attributed to the error of dry layer resistance at a given drying condition, which was different from the measured dry layer resistance in a preliminary lyophilization run for the simulation program. However, when the predictive model of dry layer resistance was used for the simulation program, the model remarkably enhanced the accuracy of the simulation program to predict the maximum product temperature and primary drying time under various operating conditions. Furthermore, the primary drying condition required for minimized drying at a close collapse temperature was successfully discovered through one preliminary run. Therefore, it is expected that the developed simulation program is useful for designing the lyophilization cycle without a trial and error approach.
書誌情報 Chemical and Pharmaceutical Bulletin

巻 62, 号 2, p. 153-159, 発行日 2014
出版者
出版者 日本薬学会
ISSN
収録物識別子タイプ ISSN
収録物識別子 0009-2363
論文ID(NAID)
関連タイプ isIdenticalTo
識別子タイプ NAID
関連識別子 130003390757
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 info:10.1248/cpb.c13-00674
権利
権利情報 日本薬学会
フォーマット
内容記述タイプ Other
内容記述 application/pdf
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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