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.
Simultaneous quantification of multiple bacterial metabolites using surface-enhanced Raman scattering / Morelli, Lidia; Centorbi, Francesca Alessandra; Ilchenko, Oleksii; Jendresen, Christian Bille; Demarchi, Danilo; Nielsen, Alex Toftgaard; Zór, Kinga; Boisen, Anja. - In: ANALYST. - ISSN 0003-2654. - 144:5(2019), pp. 1600-1607. [10.1039/c8an02128g]
Simultaneous quantification of multiple bacterial metabolites using surface-enhanced Raman scattering
Demarchi, Danilo;BOISEN, ANJA
2019
Abstract
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.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2726679
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