On-line targeted metabolomics for real-time monitoring of relevant compounds in fermentation processes

被引:1
作者
Cortada-Garcia, Joan [1 ]
Haggarty, Jennifer [2 ]
Weidt, Stefan [2 ]
Daly, Ronan [2 ]
Arnold, S. Alison [3 ]
Burgess, Karl [1 ,4 ]
机构
[1] Univ Edinburgh, Inst Quantitat Biol Biochem & Biotechnol, Sch Biol Sci, Edinburgh, Scotland
[2] Univ Glasgow, Glasgow Poly, Glasgow, Scotland
[3] Ingenza Ltd, Roslin Innovat Ctr, Roslin, Scotland
[4] Univ Edinburgh, Inst Quantitat Biol Biochem & Biotechnol, Sch Biol Sci, CH Waddington Bldg,Max Born Crescent,Kings Bldg, Edinburgh EH9 3BF, Scotland
基金
英国生物技术与生命科学研究理事会;
关键词
bioprocess monitoring; fermentation monitoring; on-line metabolomics; process analytical technologies; real-time metabolomics; NEAR-INFRARED SPECTROSCOPY; ESCHERICHIA-COLI; RAMAN-SPECTROSCOPY; BATCH CULTURES; GLUCOSE; TECHNOLOGY;
D O I
10.1002/bit.28599
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Fermentation monitoring is a powerful tool for bioprocess development and optimization. On-line metabolomics is a technology that is starting to gain attention as a bioprocess monitoring tool, allowing the direct measurement of many compounds in the fermentation broth at a very high time resolution. In this work, targeted on-line metabolomics was used to monitor 40 metabolites of interest during three Escherichia coli succinate production fermentation experiments every 5 min with a triple quadrupole mass spectrometer. This allowed capturing high-time resolution biological data that can provide critical information for process optimization. For nine of these metabolites, simple univariate regression models were used to model compound concentration from their on-line mass spectrometry peak area. These on-line metabolomics univariate models performed comparably to vibrational spectroscopy multivariate partial least squares regressions models reported in the literature, which typically are much more complex and time consuming to build. In conclusion, this work shows how on-line metabolomics can be used to directly monitor many bioprocess compounds of interest and obtain rich biological and bioprocess data. In this work, targeted on-line metabolomics was used to directly monitor 40 process-relevant compounds during three Escherichia coli succinate production fermentation experiments every 5 min with a triple quadrupole mass spectrometer. Cortada-Garcia and co-workers describe how this novel process analytical technologies tool allows to easily obtain rich biological and bioprocess data with little post-acquisition data treatment.image
引用
收藏
页码:683 / 695
页数:13
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