| Modeling and optimization of lipase-catalyzed production of succinic acid ester using central composite design analysis. | |
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MedLine Citation:
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PMID: 20803246 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Esterification of succinic acid with oleyl alcohol catalyzed by immobilized Candida antarctica lipase B (Novozym 435) was investigated in this study. Response surface methodology (RSM) based on a five-level, four-variable central composite design (CCD) was used to model and analyze the reaction. A total of 21 experiments representing different combinations of the four parameters including temperature (35-65°C), time (30-450 min), enzyme amount (20-400 mg), and alcohol:acid molar ratio (1:1-8:1) were generated. A partial cubic equation could accurately model the response surface with a R(2) of 0.9853. The effect and interactions of the variables on the ester synthesis were also studied. Temperature was found to be the most significant parameter that influenced the succinate ester synthesis. At the optimal conditions of 41.1°C, 272.8 min, 20 mg enzyme amount and 7.8:1 alcohol:acid molar ratio, the esterification percentage was 85.0%. The model can present a rapid means for estimating the conversion yield of succinate ester within the selected ranges. |
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Authors:
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Mohd Basyaruddin Abdul Rahman; Nor Izuan Jarmi; Naz Chaibakhsh; Mahiran Basri |
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Publication Detail:
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Type: Journal Article Date: 2010-08-30 |
Journal Detail:
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Title: Journal of industrial microbiology & biotechnology Volume: 38 ISSN: 1476-5535 ISO Abbreviation: J. Ind. Microbiol. Biotechnol. Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2010-12-21 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9705544 Medline TA: J Ind Microbiol Biotechnol Country: England |
Other Details:
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Languages: eng Pagination: 229-34 Citation Subset: IM |
Affiliation:
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Department of Chemistry, Faculty of Science, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor Darul Ehsan, Malaysia, basya@science.upm.edu.my. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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