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利用统计方法优化木聚糖嗜热菌 RU-14 产纤维素酶。

Optimization of Cellulase Production by Cohnella xylanilytica RU-14 Using Statistical Methods.

机构信息

Department of Microbiology, Sikkim University, Gangtok, 737102, Sikkim, India.

出版信息

Appl Biochem Biotechnol. 2024 May;196(5):2757-2770. doi: 10.1007/s12010-023-04447-4. Epub 2023 Mar 30.

Abstract

In this study, the cellulase activity by bacterial strain Cohnella xylanilytica RU-14 was enhanced by optimizing the medium components using statistical methods of Plackett-Burman design (PBD) and response surface methodology-central composite design (RSM-CCD). The cellulase assay was performed using NS enzyme assay method for reducing sugars. By PBD, the most significant factors (CMC, pH, and yeast extract) in an enzyme production medium that influence cellulase production by RU-14 were identified. These identified significant variables were further optimized using RSM by CCD. It was found that under optimized conditions of the medium components, the cellulase activity increased three times up to 14.5 U/mL as compared to un-optimized conditions (5.2 U/mL) of the enzyme production medium. The optimized levels of the significant factors determined by the CCD were found to be CMC, 2.3% w/v, and yeast extract, 0.75% w/v, at pH 7.5. The most adequate temperature for cellulase production by the bacterial strain was found to be 37 °C using the one-factor-at-a-time method. Thus, statistical methods to optimize medium conditions to enhance cellulase production by Cohnella xylanilytica RU-14 were found successful.

摘要

在这项研究中,通过使用 Plackett-Burman 设计(PBD)和响应面法-中心复合设计(RSM-CCD)的统计方法优化培养基成分,提高了木聚糖分解菌 Cohnella xylanilytica RU-14 的纤维素酶活性。纤维素酶测定采用 NS 酶测定法测定还原糖。通过 PBD,确定了影响 RU-14 纤维素酶产生的酶生产培养基中最显著的因素(CMC、pH 和酵母提取物)。使用 CCD 进一步通过 RSM 对这些鉴定的显著变量进行了优化。结果发现,在优化的培养基成分条件下,纤维素酶活性比未优化的酶生产培养基条件(5.2 U/mL)提高了三倍,达到 14.5 U/mL。通过 CCD 确定的显著因素的最佳水平为 CMC,2.3%w/v 和酵母提取物,0.75%w/v,在 pH 7.5。使用单因素法发现,木聚糖分解菌 RU-14 产生纤维素酶的最适温度为 37°C。因此,成功地找到了优化培养基条件以提高 Cohnella xylanilytica RU-14 纤维素酶产量的统计方法。

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