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Journal article

Simultaneous quantification of multiple bacterial metabolites using surface-enhanced Raman scattering

In Analyst 2019, Volume 144, Issue 5, pp. 1600-1607
From

Polytechnic University of Turin1

Nanoprobes, Drug Delivery and Sensing, Department of Health Technology, Technical University of Denmark2

Drug Delivery and Sensing, Department of Health Technology, Technical University of Denmark3

Department of Health Technology, Technical University of Denmark4

Bacterial Cell Factory Optimization, Research Groups, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark5

Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark6

Research Groups, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark7

Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Department of Health Technology, Technical University of Denmark8

Given the commercial importance of the compounds produced by genetically modified organisms, there is a need for screening methods which facilitate the evaluation of newly developed strains, especially during the phase of proof-of-concept development. We report a time-efficient analysis method for the screening of bacterial strains, which enables the detection of two structurally similar secondary bacterial metabolites.

By combining liquid-liquid extraction and surface-enhanced Raman scattering we were able to quantify p-coumaric acid and cinnamic acid, produced by genetically modified E. coli from tyrosine and phenylalanine, respectively. With the simple sample pre-treatment method, and by applying a partial least squares data analysis method, we simultaneously detected the analytes from four E. coli strains cultured in the presence or absence of tyrosine and phenylalanine.

Language: English
Publisher: The Royal Society of Chemistry
Year: 2019
Pages: 1600-1607
ISSN: 13645528 and 00032654
Types: Journal article
DOI: 10.1039/C8AN02128G
ORCIDs: Ilchenko, Oleksii , Jendresen, Christian Bille , Nielsen, Alex Toftgaard , Zor, Kinga , Boisen, Anja , 0000-0002-3299-8608 , 0000-0001-5374-1679 and 0000-0002-3789-4816

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