文章基本信息

标题：Optimization of glutamic acid production by Corynebacterium glutamicum using response surface methodology
本地全文：下载
作者：Naiyf S. Alharbi ; Shine Kadaikunnan ; Jamal M. Khaled 等
期刊名称：Journal of King Saud University - Science
印刷版ISSN：1018-3647
出版年度：2020
卷号：32
期号：2
页码：1403-1408
DOI：10.1016/j.jksus.2019.11.034
语种：English
出版社：Elsevier
摘要：AbstractThe body to build proteins can usel-Glutamic acid (l-GA). Earlier it was obtained from plant sources, later on microbes have been explored for the production.Corynebacterium glutamicumis a prominent organism used to harvest the glutamic acid. Submerged fermentation was adopted forl-GA production. Various nitrogen/carbon substrates used to find out the best nitrogen and carbon source. Statistical methods especially RSM (response surface method) stayed employed for the effect of various factors such as inoculum size, urea, glucose and salt on thel-GA production. As per the preliminary studies, urea and glucose were chosen as carbon and nitrogen sources. Further, the optimum values have been maximally documented in the glucose (50 g/L), then urea (10 g/L), 19.24% of salt solution and 5% of inoculum size. Maximum Yield ofl-GA is produced through RSM-16.49 g/L. The experimentall-Glutamic acid production was 16.36 g/L at an optimum condition that compared well to the maximum predicted values by RSM (16.499 g/L). Non-linear regression quadratic model was developed for thel-GA synthesis; the methodology was validated statistically and the determination coefficient (R2) was found to be 0.991. Thus the study identified the potential carbon and nitrogen source for a higher yield forl-GA usingC. glutamicumunder submerged fermentation and also this method minimizes the time for optimizing the medium components statistically.
关键词：l;-Glutamic acid;RSM;Corynebacterium;Optimization