统计生物过程优化,以增强来自 Pseudomonas sp. 的热性多聚氨酶 (PGase) 的产生. 13156349使用固体基质发酵 (SSF) 的方法
Mary Arpana1, Seema S Rathore2, Archana S Rao1
1School of Basic and Applied Sciences, Dayananda Sagar University, Bangalore, 560078, Karnataka, India.
Heliyon
|May 30, 2023
概括
研究人员隔离了一种产生聚氨酸酶 (PGase) 的细菌,Pseudomonas sp.,并使用小麦优化了其生产. 统计方法显著增加了5.2倍的酶产量,创造了一个具有成本效益的生物工艺.
科学领域:
- 生物技术和工业微生物学
- 酶技术 酶技术是一种
- 农业废物价值化 农业废物价值化
背景情况:
- 聚甲氨酸酶 (PGase) 是一种具有工业应用的关键解酶.
- 隔离用于酶生产的新型微生物菌株对于可持续的生物过程至关重要.
- 农业工业废物有潜力作为低成本的基质,用于酶发酵.
研究的目的:
- 从土壤环境中分离和识别产生PGase的细菌菌株.
- 使用固态发酵 (SSF) 优化热稳定和性PGase的生产.
- 通过对物理和介质参数的统计优化来提高酶产量.
主要方法:
- 隔离和识别产生PGase的细菌 (伪蒙菌) sp. ) 的情况.
- 固态发酵 (SSF) 使用各种农业废物作为基质.
- 普莱克特-伯曼 (PB) 设计用于媒体组件的初始选和响应表面方法 (RSM) 进行优化.
主要成果:
- 假人马的种类是 Pseudomonas sp. 被确定为PGase生产者;小麦产生了最高的活性 (60.13 U/gm).
- 使用PB和RSM的统计优化确定了最佳条件:pH10.5,61-66小时的化时间,和6-7.5%的注射剂大小.
- 优化的SSF导致PGase产量增加了5.2倍 (315.65U/gm),有效期为30600U/100gm.
结论:
- 通过农业废物和统计优化,开发了一种高产量PGase生产的成本效益高的方法.
- 优化的生物工艺显示了工业酶应用的巨大潜力.
- 这项研究强调了SSF与微生物酶增强的统计设计相结合的疗效.
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