Detection of p-coumaric Acid from Cell Supernatant Using Surface Enhanced Raman Scattering. (2017)

• Record Type: Journal Article
• Authors: Morelli, L.; Jendresen, C. Bille; Zor, K.; Rindzevicius, T.; Schmidt, M. Stenbæk; Nielsen, A. Toftgaard; Boisen, A.
• Is Part Of: Procedia technology. Volume 27(2016)
• Page Start: 190
• Page End: 192
• Publication Date: 2017
• Subjects: Surface enhanced Raman spectroscopy -- p-coumaric acid -- E. coli -- microbial factories -- fast analysis; Technology -- Congresses; Technology -- Periodicals; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Technology; Conference proceedings; Periodicals; 605
• DOI: 10.1016/j.protcy.2017.04.081
• Languages: English
• ISSNs: 2212-0173

Abstract

Abstract: A standard protocol for analysis of microbial factories requires the screening of several populations in order to find the best performing ones. Standard analytical methods usually include high performance liquid chromatography (HPLC), thin layer chromatography (TLC) or spectrophotometry, which are expensive and time-consuming processes. Surface Enhanced Raman Spectroscopy (SERS), instead, is a highly sensitive spectroscopic technique for specific, fast and real-time sensing of biological samples. Here we demonstrate the use of SERS to discriminate between two different bacterial populations based on detection of p-coumaric acid (pHCA) in cell supernatant. SERS active substrates, based on leaning gold-capped silicon nanopillars, were used for detection. They were successfully used to detect culture medium spiked with pHCA, and the effect of medium dilution was studied. For analysis of biological production of pHCA, triplicate cultures of E. coli strains expressing a pHCA-forming enzyme (P) as well as of a non-producing strain (C) were grown. Then, supernatant samples were collected and their pHCA content was measured using SERS and HPLC for comparison. The intensity of the pHCA Raman mode at 1169 cm -1 (CH-rocking motion) showed different trends for P and C strains, similar to the results obtained using the HPLC method. Results illustrate that SERS can be used for quick and semi- quantitative discrimination of pHCA concentrations in cell supernatant medium.