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流程参数的统计优化和尿酸酶的净化使用隔离 Pseudomonas mosselii DSS0022

Sai Sushma Dudala¹, T C Venkateswarulu¹, A Venkata Narayana¹

¹Department of Biotechnology, Vignan's Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh 522213 India.

Indian journal of microbiology

|July 14, 2025

概括

通过使用统计方法优化尿酶的产生,实现了高酶活性. 这种来自Pseudomonas mosselii的增强尿酶显示出用于制药应用的稳定性.

科学领域:

生物技术是生物技术.
酶工程是什么? 酶工程是什么?
制药科学制药科学

背景情况:

尿对于治疗高尿血和诊断尿酸水平至关重要.
大规模的尿酶生产对于制药和诊断应用至关重要.
优化生产参数是满足工业需求的关键.

研究的目的:

优化工艺参数,以提高尿酶的产生.
为了研究纯化尿的稳定性和特性.
评估 Pseudomonas mosselii 在工业尿供应方面的潜力.

主要方法:

响应表面方法 (RSM) 和人工神经网络-遗传算法 (ANN-GA) 用于优化.
分析了七个关键参数 (温度,pH,介质体积,化时间,注射剂大小,注射剂年龄,rpm).
根据ANN-GA预测进行了符合性实验研究.

主要成果:

由ANN-GA预测的最佳条件产生了显著的尿酶活性 (63.92±0.06 U/mL).
纯化尿酶的特异活性为92.48U/mg,分子量为~32kDa.
该酶在pH值6.0-10.0和高达50°C的温度下表现出广泛的稳定性,pH值9.0和30°C是最佳的.

结论:

Pseudomonas mosselii DSS002 是生产稳定,高活性尿酶的有希望的来源.
优化的生产策略可以实现高效和可扩展的尿制造.
这些发现支持尿在制药中的工业规模应用.

关键词:

人工神经网络的人工神经网络盒子-Behnken设计的设计.遗传算法遗传算法遗传算法伪omonas 是一个类型的.尿酸是什么尿酸是什么乌里卡赛斯 (Uricase) 是一种

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