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利用 Plackett-Burman 设计和响应面法优化 JW15 益生菌生物量的工业培养基和培养条件。

Optimization of an Industrial Medium and Culture Conditions for Probiotic JW15 Biomass Using the Plackett-Burman Design and Response Surface Methodology.

机构信息

Department of Food Science and Biotechnology of Animal Resources, Konkuk University, Seoul 05029, Republic of Korea.

出版信息

J Microbiol Biotechnol. 2022 May 28;32(5):630-637. doi: 10.4014/jmb.2202.02020.

Abstract

The objective of this study was to optimize industrial-grade media for improving the biomass production of JW15 (JW15) using a statistical approach. Eleven variables comprising three carbon sources (glucose, fructose, and sucrose), three nitrogen sources (protease peptone, yeast extract, and soy peptone), and five mineral sources (KHPO, potassium citrate, L-cysteine phosphate, MgSO, and MnSO) were screened by using the Plackett-Burman design. Consequently, glucose, sucrose, and soy peptone were used as significant variables in response surface methodology (RSM). The composition of the optimal medium (OM) was 22.35 g/l glucose, 15.57 g/l sucrose, and 10.05 g/l soy peptone, 2.0 g/l KHPO, 5.0 g/l sodium acetate, 0.1 g/l MgSO·7HO, 0.05 g/l MnSO·HO, and 1.0 g/l Tween 80. The OM significantly improved the biomass production of JW15 over an established commercial medium (MRS). After fermenting OM, the dry cell weight of JW15 was 4.89 g/l, which was comparable to the predicted value (4.77 g/l), and 1.67 times higher than that of the MRS medium (3.02 g/l). Correspondingly, JW15 showed a rapid and increased production of lactic and acetic acid in the OM. To perform a scale-up validation, batch fermentation was executed in a 5-l bioreactor at 37°C with or without a pH control at 6.0 ± 0.1. The biomass production of JW15 significantly improved (1.98 times higher) under the pH control, and the cost of OM was reduced by two-thirds compared to that in the MRS medium. In conclusion, OM may be utilized for mass producing JW15 for industrial use.

摘要

本研究旨在通过统计方法优化工业级培养基,以提高 JW15(JW15)的生物量生产。使用 Plackett-Burman 设计筛选了包含三种碳源(葡萄糖、果糖和蔗糖)、三种氮源(蛋白酶胨、酵母提取物和大豆蛋白胨)和五种矿物质源(KHPO、柠檬酸钾、L-半胱氨酸磷酸盐、MgSO 和 MnSO)在内的 11 个变量。结果表明,葡萄糖、蔗糖和大豆蛋白胨是响应面法(RSM)中的显著变量。最佳培养基(OM)的组成是 22.35 g/l 葡萄糖、15.57 g/l 蔗糖和 10.05 g/l 大豆蛋白胨、2.0 g/l KHPO、5.0 g/l 醋酸钠、0.1 g/l MgSO·7HO、0.05 g/l MnSO·HO 和 1.0 g/l Tween 80。OM 显著提高了 JW15 的生物量生产,优于已建立的商业培养基(MRS)。在 OM 发酵后,JW15 的干细胞重量为 4.89 g/l,与预测值(4.77 g/l)相当,比 MRS 培养基(3.02 g/l)高 1.67 倍。相应地,JW15 在 OM 中表现出乳酸和乙酸的快速和增加的产量。为了进行放大验证,在 37°C 下在 5 升生物反应器中进行分批发酵,或不进行 pH 控制在 6.0±0.1。在 pH 控制下,JW15 的生物量生产显著提高(提高 1.98 倍),与 MRS 培养基相比,OM 的成本降低了三分之二。总之,OM 可用于大规模生产 JW15 用于工业用途。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16f/9628880/cde83024ab00/jmb-32-5-630-f1.jpg

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