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Optimization of medium using response surface methodology for l-DOPA production by Pseudomonas sp. SSA
•Optimization of nutritional parameters for bacterial l-DOPA production using Response surface methodology.•The Plackett–Burman design and Box–Behnken design was employed for optimization of media.•The maximum l-DOPA production obtained experimentally was found to be 3.251±0.12gl−1. l-3,4-Dihydroxyp...
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Published in: | Biochemical engineering journal 2013-05, Vol.74, p.36-45 |
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description | •Optimization of nutritional parameters for bacterial l-DOPA production using Response surface methodology.•The Plackett–Burman design and Box–Behnken design was employed for optimization of media.•The maximum l-DOPA production obtained experimentally was found to be 3.251±0.12gl−1.
l-3,4-Dihydroxyphenylalanine (l-DOPA) is the most potent drug used for treatment of Parkinsonism. Statistical optimization of nutritional parameters for the production of l-DOPA by Pseudomonas sp. SSA has been carried out using response surface methodology (RSM). Four most significant medium constituents identified by initial screening method of Plackett–Burman (PB) were glucose, peptone, l-tyrosine and CuSO4. In order to investigate quantitative effects of the four variables selected from PB design on l-DOPA production, Box–Behnken design was subsequently employed for further optimization. The medium having glucose 1.69gl−1, peptone 1.61gl−1, l-tyrosine 4.11gl−1 and CuSO4 0.03gl−1 was found to be optimum for maximum l-DOPA production. The optimization strategies used lead to a 6.27-fold increase in l-DOPA yield (3.251±0.12gl−1) compared to non-optimized medium (0.572±0.1gl−1). l-DOPA produced was further characterized by spectroscopic techniques, such as HPTLC, HPLC and GC–MS. |
doi_str_mv | 10.1016/j.bej.2013.02.021 |
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l-3,4-Dihydroxyphenylalanine (l-DOPA) is the most potent drug used for treatment of Parkinsonism. Statistical optimization of nutritional parameters for the production of l-DOPA by Pseudomonas sp. SSA has been carried out using response surface methodology (RSM). Four most significant medium constituents identified by initial screening method of Plackett–Burman (PB) were glucose, peptone, l-tyrosine and CuSO4. In order to investigate quantitative effects of the four variables selected from PB design on l-DOPA production, Box–Behnken design was subsequently employed for further optimization. The medium having glucose 1.69gl−1, peptone 1.61gl−1, l-tyrosine 4.11gl−1 and CuSO4 0.03gl−1 was found to be optimum for maximum l-DOPA production. The optimization strategies used lead to a 6.27-fold increase in l-DOPA yield (3.251±0.12gl−1) compared to non-optimized medium (0.572±0.1gl−1). l-DOPA produced was further characterized by spectroscopic techniques, such as HPTLC, HPLC and GC–MS.</description><identifier>ISSN: 1369-703X</identifier><identifier>EISSN: 1873-295X</identifier><identifier>DOI: 10.1016/j.bej.2013.02.021</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Biological and medical sciences ; Biotechnology ; copper sulfate ; drugs ; Fundamental and applied biological sciences. Psychology ; gas chromatography-mass spectrometry ; glucose ; high performance liquid chromatography ; HPTLC ; L-dopa ; Parkinson disease ; peptones ; Pseudomonas ; Pseudomonas sp. SSA ; Response surface methodology ; screening ; Tyrosinase ; tyrosine</subject><ispartof>Biochemical engineering journal, 2013-05, Vol.74, p.36-45</ispartof><rights>2013 Elsevier B.V.</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c450t-7217f710119f3605e76cb38382cfb06d012f1cb67f1c4d6901067d60fe9af6c13</citedby><cites>FETCH-LOGICAL-c450t-7217f710119f3605e76cb38382cfb06d012f1cb67f1c4d6901067d60fe9af6c13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27349869$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Patil, Sushama A.</creatorcontrib><creatorcontrib>Surwase, Shripad N.</creatorcontrib><creatorcontrib>Jadhav, Shekhar B.</creatorcontrib><creatorcontrib>Jadhav, Jyoti P.</creatorcontrib><title>Optimization of medium using response surface methodology for l-DOPA production by Pseudomonas sp. SSA</title><title>Biochemical engineering journal</title><description>•Optimization of nutritional parameters for bacterial l-DOPA production using Response surface methodology.•The Plackett–Burman design and Box–Behnken design was employed for optimization of media.•The maximum l-DOPA production obtained experimentally was found to be 3.251±0.12gl−1.
l-3,4-Dihydroxyphenylalanine (l-DOPA) is the most potent drug used for treatment of Parkinsonism. Statistical optimization of nutritional parameters for the production of l-DOPA by Pseudomonas sp. SSA has been carried out using response surface methodology (RSM). Four most significant medium constituents identified by initial screening method of Plackett–Burman (PB) were glucose, peptone, l-tyrosine and CuSO4. In order to investigate quantitative effects of the four variables selected from PB design on l-DOPA production, Box–Behnken design was subsequently employed for further optimization. The medium having glucose 1.69gl−1, peptone 1.61gl−1, l-tyrosine 4.11gl−1 and CuSO4 0.03gl−1 was found to be optimum for maximum l-DOPA production. The optimization strategies used lead to a 6.27-fold increase in l-DOPA yield (3.251±0.12gl−1) compared to non-optimized medium (0.572±0.1gl−1). l-DOPA produced was further characterized by spectroscopic techniques, such as HPTLC, HPLC and GC–MS.</description><subject>Biological and medical sciences</subject><subject>Biotechnology</subject><subject>copper sulfate</subject><subject>drugs</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>gas chromatography-mass spectrometry</subject><subject>glucose</subject><subject>high performance liquid chromatography</subject><subject>HPTLC</subject><subject>L-dopa</subject><subject>Parkinson disease</subject><subject>peptones</subject><subject>Pseudomonas</subject><subject>Pseudomonas sp. SSA</subject><subject>Response surface methodology</subject><subject>screening</subject><subject>Tyrosinase</subject><subject>tyrosine</subject><issn>1369-703X</issn><issn>1873-295X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kE1r3DAQhkVpoem2P6Cn6lLIxc7IsiWbnJa0-YDABraB3IQsSxsttuVq7ML211fbDTkGhpFgHr2MHkK-MsgZMHGxz1u7zwtgPIciFXtHzlgteVY01dP7dOeiySTwp4_kE-IeAASX8oy4zTT7wf_Vsw8jDY4OtvPLQBf0445Gi1MY0VJcotPGpun8HLrQh92BuhBpn_3YPKzpFEO3mP8R7YE-oF26MIRRI8Upp9vt-jP54HSP9svLuSKP1z9_Xd1m95ubu6v1fWbKCuZMFkw6mT7EGscFVFYK0_Ka14VxLYgOWOGYaYVMvexEAwyE7AQ422gnDOMrcn7KTRv9XizOavBobN_r0YYFFasAZF2VUiSUnVATA2K0Tk3RDzoeFAN1dKr2KjlVR6cKilTH-O8v8RqN7l3Uo_H4-rCQvGxq0STu24lzOii9i4l53KYgkbxXJSRuRS5PhE02_ngbFRpvR5PsR2tm1QX_xh7_AHpZlRA</recordid><startdate>20130501</startdate><enddate>20130501</enddate><creator>Patil, Sushama A.</creator><creator>Surwase, Shripad N.</creator><creator>Jadhav, Shekhar B.</creator><creator>Jadhav, Jyoti P.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QO</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20130501</creationdate><title>Optimization of medium using response surface methodology for l-DOPA production by Pseudomonas sp. SSA</title><author>Patil, Sushama A. ; Surwase, Shripad N. ; Jadhav, Shekhar B. ; Jadhav, Jyoti P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c450t-7217f710119f3605e76cb38382cfb06d012f1cb67f1c4d6901067d60fe9af6c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Biological and medical sciences</topic><topic>Biotechnology</topic><topic>copper sulfate</topic><topic>drugs</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>gas chromatography-mass spectrometry</topic><topic>glucose</topic><topic>high performance liquid chromatography</topic><topic>HPTLC</topic><topic>L-dopa</topic><topic>Parkinson disease</topic><topic>peptones</topic><topic>Pseudomonas</topic><topic>Pseudomonas sp. SSA</topic><topic>Response surface methodology</topic><topic>screening</topic><topic>Tyrosinase</topic><topic>tyrosine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Patil, Sushama A.</creatorcontrib><creatorcontrib>Surwase, Shripad N.</creatorcontrib><creatorcontrib>Jadhav, Shekhar B.</creatorcontrib><creatorcontrib>Jadhav, Jyoti P.</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Biochemical engineering journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Patil, Sushama A.</au><au>Surwase, Shripad N.</au><au>Jadhav, Shekhar B.</au><au>Jadhav, Jyoti P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of medium using response surface methodology for l-DOPA production by Pseudomonas sp. 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l-3,4-Dihydroxyphenylalanine (l-DOPA) is the most potent drug used for treatment of Parkinsonism. Statistical optimization of nutritional parameters for the production of l-DOPA by Pseudomonas sp. SSA has been carried out using response surface methodology (RSM). Four most significant medium constituents identified by initial screening method of Plackett–Burman (PB) were glucose, peptone, l-tyrosine and CuSO4. In order to investigate quantitative effects of the four variables selected from PB design on l-DOPA production, Box–Behnken design was subsequently employed for further optimization. The medium having glucose 1.69gl−1, peptone 1.61gl−1, l-tyrosine 4.11gl−1 and CuSO4 0.03gl−1 was found to be optimum for maximum l-DOPA production. The optimization strategies used lead to a 6.27-fold increase in l-DOPA yield (3.251±0.12gl−1) compared to non-optimized medium (0.572±0.1gl−1). l-DOPA produced was further characterized by spectroscopic techniques, such as HPTLC, HPLC and GC–MS.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.bej.2013.02.021</doi><tpages>10</tpages></addata></record> |
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subjects | Biological and medical sciences Biotechnology copper sulfate drugs Fundamental and applied biological sciences. Psychology gas chromatography-mass spectrometry glucose high performance liquid chromatography HPTLC L-dopa Parkinson disease peptones Pseudomonas Pseudomonas sp. SSA Response surface methodology screening Tyrosinase tyrosine |
title | Optimization of medium using response surface methodology for l-DOPA production by Pseudomonas sp. SSA |
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