کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8328516 1540206 2018 28 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Demonstration of bioprocess factors optimization for enhanced mono-rhamnolipid production by a marine Pseudomonas guguanensis
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی زیست شیمی
پیش نمایش صفحه اول مقاله
Demonstration of bioprocess factors optimization for enhanced mono-rhamnolipid production by a marine Pseudomonas guguanensis
چکیده انگلیسی
We identified that Pseudomonas guguanensis produced macromolecular mono-rhamnolipid (1264.52 Da) upon sensing n-hexadecane/diesel/kerosene from its surroundings. Permutation experiments were done to improve the laboratory-scale mono-rhamnolipid production (ie, a three-fold increase) using RSM validation. Consequently, maximal mono-rhamnolipids production [40-50 mg/L] and emulsification abilities [65-70%] were encountered on day 8 using vegetable oil, peptone + yeast extract. EI24 values for the rhamnolipids were found to be 78±1.75% at 12.5 mg/ mL. Production and secretion of rhamnolipids were accompanied by aggregation of cells at day 6 as pictured in SEM. Pure monorhamnolipids of P. guguanensis was found to lower the surface tension of water to 32.98±0.3 mN/m than the crude and CFSs of P. aeruginosa indicating efficient activity. Utilization and subsequent removal of hexadecane was 77.2% and the breakdown products were fatty acids [decanoic, hexadecanoic, octadecanoic acids and methyl stearates] as signified in Head-space GC-MS. The breakdown products of hexadecane are also present in the synthesized rhamnolipids suggesting their biosynthetic role. Rapid degradation of hexadecane, diesel and kerosene by this emulsifier combined with non-pathogenic trait of P. guguanensis identifies this organism as a viable option to remove n-alkanes from aquatic environments.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Biological Macromolecules - Volume 108, March 2018, Pages 531-540
نویسندگان
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