Optimization of the Monascus purpureus Fermentation Process Based on Multiple Performance Characteristics

IF 1 4区 工程技术 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
C. Chung, Ho‐Hsien Chen, P. Hsieh
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引用次数: 13

Abstract

The fermentation process in general is a kind of non-linear and time-variant system. It is necessary to determine optimal conditions in the fermentation process with multiple performance characteristics In this study, a Grey-based Taguchi Method was applied to find the optimal conditions of medium composition to enhance the production of biomass, monacolin K, pigments synthesis, and to reduce the yield of citrinin, metabolites in the Monascus purpureus fermentation process. In particular, the amount of citrinin would cause potential adverse effects on human health and depends on the quality and control of the fermentation process. The results show that the optimal conditions under these multiple performance requirements for Monascus purpureus fermentation are: A4 (1% whole wheat flour), B3 (1% pepton), C1 (1% olive oil), D4 (0.01% KH2PO4), E1 (pH=3). That combination can yield iomass at 2.065 g/100mL, monacolin K at 150.052 ppm, yellow pigment (OD400) at 4.082 ppm, orange pigment (OD460) at 4.231 ppm, red pigment (OD400) at 8.105 ppm, respectively, with ctirinin yield reduced to 0.082 ppb. The optimal combination obtained from this study could be a reference for production line fermentation processing.
基于多种性能特征的红曲霉发酵工艺优化
发酵过程一般是一种非线性时变系统。在具有多种性能特征的发酵过程中,有必要确定最佳的发酵条件。本研究采用基于灰色的田口法,寻找培养基组成的最佳条件,以提高红曲霉发酵过程中生物量、莫纳可林K的产量、色素的合成,并降低黄霉素、代谢物的产量。特别是,柑橘酸的含量会对人体健康造成潜在的不利影响,这取决于发酵过程的质量和控制。结果表明,在多种性能要求下,红曲霉发酵的最佳条件为:A4(1%全麦面粉)、B3(1%蛋白胨)、C1(1%橄榄油)、D4 (0.01% KH2PO4)、E1 (pH=3)。该组合的产率为2.065 g/100mL,莫纳可林K的产率为150.052 ppm,黄色颜料(OD400)的产率为4.082 ppm,橙色颜料(OD460)的产率为4.231 ppm,红色颜料(OD400)的产率为8.105 ppm,克替林宁的产率降至0.082 ppb。所得最佳组合可为生产线发酵加工提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Grey System
Journal of Grey System 数学-数学跨学科应用
CiteScore
2.40
自引率
43.80%
发文量
0
审稿时长
1.5 months
期刊介绍: The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows: Grey mathematics- Generator of Grey Sequences- Grey Incidence Analysis Models- Grey Clustering Evaluation Models- Grey Prediction Models- Grey Decision Making Models- Grey Programming Models- Grey Input and Output Models- Grey Control- Grey Game- Practical Applications.
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