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タイトル
  • en Modeling of separation of fatty acid methyl esters derived from fisheries waste by urea complexation method
作成者
アクセス権 open access
権利情報
  • en © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
  • http://creativecommons.org/licenses/by-nc-nd/4.0/
  • en Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
主題
  • Other en Urea complexation
  • Other en Fractionation
  • Other en Fatty acid methyl ester
  • Other en Polyunsaturated fatty acid
  • Other en Saturated fatty acid
  • Other en Biodiesel fuel
  • NDC 660
内容注記
  • Abstract en The aim of the study is to develop a simulation model for the fractionation of fatty acid methyl esters (FAME).by urea complexation. The fatty acids (FAs) were obtained from squid liver and scallop mid-gut, which contain rich in eicosapentaenoic and docosahexaenoic acids well known as health-promoting FAs. FAs can be divided into saturated fatty acid (SFA), monounsaturated fatty acid (MFA), and polyunsaturated fatty acid (PFA) based on the number of double bond in their structure. A fractionation model is proposed and derived from the assumption of the urea-FAMEs complexation reactions, which included equilibrium constants (K) concerned with FAMEs-urea and urea-urea binding. The experiments were conducted at 5 and 28 °C. Different complexation behaviors were observed for SFAME, MFAME, and PFAME. The amount of SFAME captured in the urea inclusion body was larger than MFAME and PFAME. The urea-SFAME and urea-MFAME formation behavior agreed very well with the proposed model, but the urea-PFAME formation behavior showed a large error with the calculation results. The validation experiments showed that the relative error between the experimental data and the model prediction was within 15% for SFAME and MFAME.
出版者 en Elsevier
日付
    Issued2022-12-15
言語
  • eng
資源タイプ journal article
出版タイプ AM
資源識別子 HDL http://hdl.handle.net/2115/93916
関連
  • isVersionOf DOI https://doi.org/10.1016/j.bej.2022.108689
収録誌情報
    • PISSN 1369-703X
    • NCID AA11194593
      • en Biochemical Engineering Journal
      • 188 開始ページ108689
ファイル
コンテンツ更新日時 2025-01-18