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Quantification of a bacterial secondary metabolite by SERS combined with SLM extraction for bioprocess monitoring
Analyst ( IF 4.2 ) Pub Date : 2017-10-17 00:00:00 , DOI: 10.1039/c7an01393k
Lidia Morelli 1, 2, 3, 4 , Sune Zoëga Andreasen 1, 2, 3, 4 , Christian Bille Jendresen 2, 3, 4, 5 , Alex Toftgaard Nielsen 2, 3, 4, 5 , Jenny Emnéus 1, 2, 3, 4 , Kinga Zór 1, 2, 3, 4 , Anja Boisen 1, 2, 3, 4
Affiliation  

During the last few decades, great advances have been reached in high-throughput design and building of genetically engineered microbial strains, leading to a need for fast and reliable screening methods. We developed and optimized a microfluidic supported liquid membrane (SLM) extraction device and combined it with surface enhanced Raman scattering (SERS) sensing for the screening of a biological process, namely for the quantification of a bacterial secondary metabolite, p-coumaric acid (pHCA), produced by Escherichia coli. The microfluidic device proved to be robust and reusable, enabling efficient removal of interfering compounds from the real samples, reaching more than 13-fold up-concentration of the donor at 10 μL min−1 flow rate. With this method, we quantified pHCA directly from the bacterial supernatant, distinguishing between various culture conditions based on the pHCA production yield. The obtained data showed good correlation with HPLC analysis.

中文翻译:

SERS结合SLM提取对细菌次生代谢产物进行定量以监测生物过程

在过去的几十年中,基因工程微生物菌株的高通量设计和构建已经取得了巨大的进步,因此需要快速可靠的筛选方法。我们开发并优化了微流控液膜(SLM)提取装置,并将其与表面增强拉曼散射(SERS)感测相结合,用于筛选生物过程,即用于定量细菌次生代谢产物香豆酸(pHCA) ),由大肠杆菌生产。事实证明,该微流控设备坚固耐用且可重复使用,能够有效去除真实样品中的干扰化合物,在10μLmin -1时,供体的浓度达到13倍以上流量。通过这种方法,我们直接从细菌上清液中定量pHCA,根据pHCA的产量区分不同的培养条件。所得数据与HPLC分析显示出良好的相关性。
更新日期:2017-11-20
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