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利用响应面法评估解脂耶氏酵母-NCIM 3450将L-酪氨酸生物转化为L-多巴的各种影响因素

Evaluation of Various Factors Affecting Bioconversion of l-Tyrosine to l-DOPA by Yeast Yarrowia lipolytica-NCIM 3450 Using Response Surface Methodology.

作者信息

Gurme Swati T, Surwase Shripad N, Patil Sushama A, Jadhav Jyoti P

机构信息

Department of Biotechnology, Shivaji University, Vidyanagar, Kolhapur, 416004 India.

Department of Microbiology, Shivaji University, Kolhapur, 416004 India.

出版信息

Nat Prod Bioprospect. 2014 Jun;4(3):141-7. doi: 10.1007/s13659-014-0017-3. Epub 2014 May 7.

Abstract

3,4-Dihydroxy l-phenylalanine (l-DOPA) is considered a potent drug for the treatment of Parkinson disease. Physical and nutritional parameters where optimized by using Yarrowia lipolytica-NCIM 3450 to accomplished the highest production of l-DOPA. Screenings of critical components were completed by using a Plackett-Burman design, while further optimization was carried out using the Box-Behnken design. The optimized factor levels predicted by the model were pH 6.1, 1.659 g L(-1) yeast extract, 1.491 g L(-1)l-tyrosine and 0.0290 g L(-1) CuSO4. The predicted yield of l-DOPA with these levels was 1.319 g L(-1), while actual yield obtained was 1.273 g L(-1). The statistical analysis revealed that model is significant with F value 19.55 and R(2) value 0.9514. This process resulted in a 3.594-fold increase in the yield of l-DOPA. l-DOPA was confirmed by HPTLC and HPLC analysis. Thus, Yarrowia lipolytica-NCIM 3450 has potential to be a new source for the production of l-DOPA.

摘要

3,4-二羟基-L-苯丙氨酸(L-DOPA)被认为是治疗帕金森病的一种有效药物。通过使用解脂耶氏酵母-NCIM 3450优化物理和营养参数,以实现L-DOPA的最高产量。使用Plackett-Burman设计完成关键成分的筛选,同时使用Box-Behnken设计进行进一步优化。模型预测的优化因子水平为pH 6.1、1.659 g L⁻¹酵母提取物、1.491 g L⁻¹L-酪氨酸和0.0290 g L⁻¹硫酸铜。这些水平下L-DOPA的预测产量为1.319 g L⁻¹,而实际获得的产量为1.273 g L⁻¹。统计分析表明,该模型具有显著性,F值为19.55,R²值为0.9514。该过程使L-DOPA的产量提高了3.594倍。通过HPTLC和HPLC分析确认了L-DOPA。因此,解脂耶氏酵母-NCIM 3450有潜力成为生产L-DOPA的新来源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3ea/4131363/c1d5e41059d7/13659_2014_17_Article_Fig1_HTML.jpg

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