详细信息

A rapid and accurate quantification method for real-time dynamic analysis of cellular lipids during microalgal fermentation processes in Chlorella protothecoides with low field nuclear magnetic resonance  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:A rapid and accurate quantification method for real-time dynamic analysis of cellular lipids during microalgal fermentation processes in Chlorella protothecoides with low field nuclear magnetic resonance

作者:Wang, Tao[1];Liu, Tingting[1];Wang, Zejian[1];Tian, Xiwei[1];Yang, Yi[2];Guo, Meijin[1];Chu, Ju[1];Zhuang, Yingping[1]

机构:[1]E China Univ Sci & Technol, State Key Lab Bioreactor Engn, POB 329,130 Meilong Rd, Shanghai 200237, Peoples R China;[2]Niumag Corp Ltd, Shanghai 200333, Peoples R China

年份:2016

卷号:124

起止页码:13

外文期刊名:JOURNAL OF MICROBIOLOGICAL METHODS

收录:;WOS:【SCI-EXPANDED(收录号:WOS:000375163100003)】;

基金:This work was financially supported by grants from Major State Basic Research Development Program of China (973 Program) (No. 2013CB733600 and 2012CB72100X), National High Technology Research and Development Program (863 Program) (2015AA021005). We are also grateful for the technical and equipment support of the LF-NMR from Niumag Corporation Ltd., Shanghai, China.

语种:英文

外文关键词:Chlorella protothecoides; LF-NMR; Lipid; Microalgae cells; On-line determination

摘要:The rapid and real-time lipid determination can provide valuable information on process regulation and optimization in the algal lipid mass production. In this study, a rapid, accurate and precise quantification method of in vivo cellular lipids of Chlorella protothecoides using low field nuclear magnetic resonance (LF-NMR) was newly developed. LF-NMR was extremely sensitive to the algal lipids with the limits of the detection (LOD) of 0.0026 g and 0.32 g/L in dry lipid samples and algal broth, respectively, as well as limits of quantification (LOQ) of 0.0093 g and 1.18 g/L. Moreover, the LF-NMR signal was specifically proportional to the cellular lipids of C. protothecoides, thus the superior regression curves existing in a wide detection range from 0.02 to 0.42 g for dry lipids and from 1.12 to 8.97 g L-1 of lipid concentration for in vivo lipid quantification were obtained with all R-2 higher than 0.99, irrespective of the lipid content and fatty acids profile variations. The accuracy of this novel method was further verified to be reliable by comparing lipid quantification results to those obtained by GC-MS. And the relative standard deviation (RSD) of LF-NMR results were smaller than 2%, suggesting the precision of this method. Finally, this method was successfully used in the on-line lipid monitoring during the algal lipid fermentation processes, making it possible for better understanding of the lipid accumulation mechanism and dynamic bioprocess control. (C) 2016 Elsevier B.V. All rights reserved.

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