Journal article
Quantification of a bacterial secondary metabolite by SERS combined with SLM extraction for bioprocess monitoring
Department of Micro- and Nanotechnology, Technical University of Denmark1
Nanoprobes, Department of Micro- and Nanotechnology, Technical University of Denmark2
BioLabChip, Department of Micro- and Nanotechnology, Technical University of Denmark3
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark4
Bacterial Cell Factory Optimization, Research Groups, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark5
Research Groups, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark6
Bioanalytics, Department of Micro- and Nanotechnology, Technical University of Denmark7
Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Department of Health Technology, Technical University of Denmark8
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.
| Language: | English |
|---|---|
| Publisher: | The Royal Society of Chemistry |
| Year: | 2017 |
| Pages: | 4553-4559 |
| ISSN: | 13645528 and 00032654 |
| Types: | Journal article |
| DOI: | 10.1039/c7an01393k |
| ORCIDs: | Jendresen, Christian Bille , Nielsen, Alex Toftgaard , Emnéus, Jenny , Zor, Kinga , Boisen, Anja and 0000-0002-3299-8608 |
