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运用田口方法优化兽疫链球菌生产透明质酸:温度和pH值的影响

Optimizing hyaluronic acid production by Streptococcus zooepidemicus using taguchi method: effects of temperature and pH.

作者信息

Girgin Öz Hilal, Öğüt Hamdi

机构信息

Faculty of Engineering and Natural Sciences, Department of Bioengineering, Bursa Technical University, Bursa, Turkey.

出版信息

Biotechnol Lett. 2025 Jun 26;47(4):67. doi: 10.1007/s10529-025-03608-1.

Abstract

The cost-effective and high-yield production of hyaluronic acid (HA) by microbial means remains challenging, necessitating the optimization of existing processes through the implementation of novel approaches. The present study investigates the production of HA under varying temperature and pH conditions utilizing independent, fully controlled fermenters. The synthesis of HA was evaluated at four temperatures (32 °C, 35 °C, 37 °C, 40 °C) and four pH levels (6.5, 7.0, 7.5, and 8.0), with optimal parameters identified through the Taguchi design methodology. The Taguchi optimization method effectively identified 37 °C and pH 6.5 as the optimal conditions for HA production corresponding to the highest signal-to-noise (S/N) ratios of 58.18 and 57.55, respectively. These conditions resulted in a maximum yield of 1.08 g.L, demonstrating the efficacy of this parameter combination in maximizing production efficiency. The carbazole method was utilized to quantify the production of HA following a five-hour fermentation period, with the culture conditions subjected to a statistical comparison. A temperature of 37 °C yielded significantly higher HA levels than 32 °C and 40 °C (Dunn test, respectively p = 0.019, p = 0.001). The lowest HA production was observed at 40 °C, while the 32 °C group exhibited relatively low variation in HA production. Furthermore, the hourly bacterial counts demonstrated a direct correlation between bacterial proliferation and HA synthesis, with the highest bacterial growth observed at 37 °C and pH 7.0. This study highlights the trends in HA concentration under different temperature and pH conditions during the pre-fermentation phase, offering critical insights for optimizing HA production.

摘要

通过微生物方法经济高效地生产透明质酸(HA)仍然具有挑战性,因此需要通过采用新方法来优化现有工艺。本研究利用独立的、完全可控的发酵罐,研究了在不同温度和pH条件下HA的生产情况。在四个温度(32°C、35°C、37°C、40°C)和四个pH水平(6.5、7.0、7.5和8.0)下评估了HA的合成,并通过田口设计方法确定了最佳参数。田口优化方法有效地确定37°C和pH 6.5为HA生产的最佳条件,对应的最高信噪比(S/N)分别为58.18和57.55。这些条件下的最大产量为1.08 g.L,证明了该参数组合在提高生产效率方面的有效性。在五小时发酵期后,采用咔唑法对HA的产量进行定量,并对培养条件进行统计比较。37°C时产生的HA水平显著高于32°C和40°C(邓恩检验,p值分别为0.019和0.001)。在40°C时观察到的HA产量最低,而32°C组的HA产量变化相对较小。此外,每小时的细菌计数表明细菌增殖与HA合成之间存在直接相关性,在37°C和pH 7.0时观察到最高的细菌生长。本研究突出了发酵前期不同温度和pH条件下HA浓度的变化趋势,为优化HA生产提供了关键见解。

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