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基于营养源的单变量分析和响应面法优化海洋来源真菌30548深层发酵中色素的生产

OVAT Analysis and Response Surface Methodology Based on Nutrient Sources for Optimization of Pigment Production in the Marine-Derived Fungus 30548 Submerged Fermentation.

作者信息

Venkatachalam Mekala, Shum-Chéong-Sing Alain, Caro Yanis, Dufossé Laurent, Fouillaud Mireille

机构信息

Laboratoire de Chimie et Biotechnologie des Produits Naturels-ChemBioPro, Université de la Réunion, 15 Avenue René Cassin, CS 92003, CEDEX 9, F-97744 Saint-Denis, Ile de la Réunion, France.

Ecole Supérieure d'Ingénieurs Réunion Océan Indien-ESIROI, 2 Rue Joseph Wetzell, F-97490 Sainte-Clotilde, Ile de la Réunion, France.

出版信息

Mar Drugs. 2021 Apr 27;19(5):248. doi: 10.3390/md19050248.

Abstract

Pigment production from filamentous fungi is gaining interest due to the diversity of fungal species, the variety of compounds synthesized, and the possibility of controlled massive productions. The species produce a large panel of metabolites, including azaphilone pigments, with potential use as natural colorants in industrial applications. Optimizing pigment production from fungal strains grown on different carbon and nitrogen sources, using statistical methods, is widespread nowadays. The present work is the first in an attempt to optimize pigments production in a culture of the marine-derived 30548, under the influence of several nutrients sources. Nutrient combinations were screened through the one-variable-at-a-time (OVAT) analysis. Sucrose combined with yeast extract provided a maximum yield of orange pigments (OPY) and red pigments (RPY) (respectively, 1.39 g/L quinizarin equivalent and 2.44 g/L Red Yeast pigment equivalent), as well as higher dry biomass (DBW) (6.60 g/L). Significant medium components (yeast extract, KHPO and MgSO·7HO) were also identified from one-variable-at-a-time (OVAT) analysis for pigment and biomass production. A five-level central composite design (CCD) and a response surface methodology (RSM) were applied to evaluate the optimal concentrations and interactive effects between selected nutrients. The experimental results were well fitted with the chosen statistical model. The predicted maximum response for OPY (1.43 g/L), RPY (2.59 g/L), and DBW (15.98 g/L) were obtained at 3 g/L yeast extract, 1 g/L KHPO, and 0.2 g/L MgSO·7HO. Such optimization is of great significance for the selection of key nutrients and their concentrations in order to increase the pigment production at a pilot or industrial scale.

摘要

由于丝状真菌种类的多样性、合成化合物的多样性以及大规模可控生产的可能性,丝状真菌色素的生产正日益受到关注。这些物种能产生大量的代谢产物,包括氮杂蒽酮类色素,具有在工业应用中用作天然色素的潜力。如今,使用统计方法优化不同碳源和氮源上生长的真菌菌株的色素生产十分普遍。目前的工作是首次尝试在几种营养源的影响下,优化海洋来源的30548菌株培养物中的色素生产。通过一次改变一个变量(OVAT)分析筛选营养组合。蔗糖与酵母提取物组合可提供最高产量的橙色色素(OPY)和红色色素(RPY)(分别为1.39 g/L醌茜当量和2.44 g/L红曲色素当量),以及更高的干生物量(DBW)(6.60 g/L)。通过一次改变一个变量(OVAT)分析还确定了对色素和生物量生产有显著影响的培养基成分(酵母提取物、KHPO和MgSO·7H₂O)。应用五级中心复合设计(CCD)和响应面方法(RSM)来评估所选营养素之间的最佳浓度和相互作用效果。实验结果与所选统计模型拟合良好。在3 g/L酵母提取物、1 g/L KHPO和0.2 g/L MgSO·7H₂O条件下,预测得到OPY(1.43 g/L)、RPY(2.59 g/L)和DBW(15.98 g/L)的最大响应值。这种优化对于选择关键营养素及其浓度以在中试或工业规模上提高色素产量具有重要意义。

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