Detection of p-coumaric acid from cell supernatant using surface enhanced Raman scattering

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Abstract

A standard protocol for analysis of microbial factories requires the screening of several populations in order to find the bestperforming ones. Standard analytical methods usually include high performance liquid chromatography (HPLC), thin layerchromatography (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 biologicalsamples. Here we demonstrate the use of SERS to discriminate between two different bacterial populations based on detection ofp-coumaric acid (pHCA) in cell supernatant.SERS active substrates, based on leaning gold-capped silicon nanopillars, were used for detection. They were successfullyused to detect culture medium spiked with pHCA, and the effect of medium dilution was studied. For analysis of biologicalproduction of pHCA, triplicate cultures of E. coli strains expressing a pHCA-forming enzyme (P) as well as of a non-producingstrain (C) were grown. Then, supernatant samples were collected and their pHCA content was measured using SERS and HPLCfor comparison. The intensity of the pHCA Raman mode at 1169 cm-1 (CH-rocking motion) showed different trends for P and Cstrains, similar to the results obtained using the HPLC method. Results illustrate that SERS can be used for quick and semiquantitativediscrimination of pHCA concentrations in cell supernatant medium.
Original languageEnglish
JournalProcedia Technology
Volume27
Pages (from-to)190-192
Number of pages3
ISSN2212-0173
DOIs
Publication statusPublished - 2017
EventBiosensors 2016: 26th Anniversary World Congress on Biosensors - Swedish Exhibition and Congress Centre, Gothenburg, Sweden
Duration: 25 May 201627 May 2016
Conference number: 26
http://www.biosensors-congress.elsevier.com/

Conference

ConferenceBiosensors 2016
Number26
LocationSwedish Exhibition and Congress Centre
CountrySweden
CityGothenburg
Period25/05/201627/05/2016
Internet address

Keywords

  • Surface enchanced Raman spectroscopy
  • P-coumaric acid
  • E. coli
  • Microbial factories
  • Fast analysis

Cite this

@article{1f12b40617c949f0b2510d733b5c1ce7,
title = "Detection of p-coumaric acid from cell supernatant using surface enhanced Raman scattering",
abstract = "A standard protocol for analysis of microbial factories requires the screening of several populations in order to find the bestperforming ones. Standard analytical methods usually include high performance liquid chromatography (HPLC), thin layerchromatography (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 biologicalsamples. Here we demonstrate the use of SERS to discriminate between two different bacterial populations based on detection ofp-coumaric acid (pHCA) in cell supernatant.SERS active substrates, based on leaning gold-capped silicon nanopillars, were used for detection. They were successfullyused to detect culture medium spiked with pHCA, and the effect of medium dilution was studied. For analysis of biologicalproduction of pHCA, triplicate cultures of E. coli strains expressing a pHCA-forming enzyme (P) as well as of a non-producingstrain (C) were grown. Then, supernatant samples were collected and their pHCA content was measured using SERS and HPLCfor comparison. The intensity of the pHCA Raman mode at 1169 cm-1 (CH-rocking motion) showed different trends for P and Cstrains, similar to the results obtained using the HPLC method. Results illustrate that SERS can be used for quick and semiquantitativediscrimination of pHCA concentrations in cell supernatant medium.",
keywords = "Surface enchanced Raman spectroscopy, P-coumaric acid, E. coli, Microbial factories, Fast analysis",
author = "Lidia Morelli and Jendresen, {Christian Bille} and Kinga Zor and Tomas Rindzevicius and Schmidt, {Michael Stenb{\ae}k} and Nielsen, {Alex Toftgaard} and Anja Boisen",
year = "2017",
doi = "10.1016/j.protcy.2017.04.081",
language = "English",
volume = "27",
pages = "190--192",
journal = "Procedia Technology",
issn = "2212-0173",
publisher = "Elsevier",

}

Detection of p-coumaric acid from cell supernatant using surface enhanced Raman scattering. / Morelli, Lidia; Jendresen, Christian Bille; Zor, Kinga; Rindzevicius, Tomas; Schmidt, Michael Stenbæk; Nielsen, Alex Toftgaard; Boisen, Anja.

In: Procedia Technology, Vol. 27, 2017, p. 190-192.

Research output: Contribution to journalConference abstract in journalResearchpeer-review

TY - ABST

T1 - Detection of p-coumaric acid from cell supernatant using surface enhanced Raman scattering

AU - Morelli, Lidia

AU - Jendresen, Christian Bille

AU - Zor, Kinga

AU - Rindzevicius, Tomas

AU - Schmidt, Michael Stenbæk

AU - Nielsen, Alex Toftgaard

AU - Boisen, Anja

PY - 2017

Y1 - 2017

N2 - A standard protocol for analysis of microbial factories requires the screening of several populations in order to find the bestperforming ones. Standard analytical methods usually include high performance liquid chromatography (HPLC), thin layerchromatography (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 biologicalsamples. Here we demonstrate the use of SERS to discriminate between two different bacterial populations based on detection ofp-coumaric acid (pHCA) in cell supernatant.SERS active substrates, based on leaning gold-capped silicon nanopillars, were used for detection. They were successfullyused to detect culture medium spiked with pHCA, and the effect of medium dilution was studied. For analysis of biologicalproduction of pHCA, triplicate cultures of E. coli strains expressing a pHCA-forming enzyme (P) as well as of a non-producingstrain (C) were grown. Then, supernatant samples were collected and their pHCA content was measured using SERS and HPLCfor comparison. The intensity of the pHCA Raman mode at 1169 cm-1 (CH-rocking motion) showed different trends for P and Cstrains, similar to the results obtained using the HPLC method. Results illustrate that SERS can be used for quick and semiquantitativediscrimination of pHCA concentrations in cell supernatant medium.

AB - A standard protocol for analysis of microbial factories requires the screening of several populations in order to find the bestperforming ones. Standard analytical methods usually include high performance liquid chromatography (HPLC), thin layerchromatography (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 biologicalsamples. Here we demonstrate the use of SERS to discriminate between two different bacterial populations based on detection ofp-coumaric acid (pHCA) in cell supernatant.SERS active substrates, based on leaning gold-capped silicon nanopillars, were used for detection. They were successfullyused to detect culture medium spiked with pHCA, and the effect of medium dilution was studied. For analysis of biologicalproduction of pHCA, triplicate cultures of E. coli strains expressing a pHCA-forming enzyme (P) as well as of a non-producingstrain (C) were grown. Then, supernatant samples were collected and their pHCA content was measured using SERS and HPLCfor comparison. The intensity of the pHCA Raman mode at 1169 cm-1 (CH-rocking motion) showed different trends for P and Cstrains, similar to the results obtained using the HPLC method. Results illustrate that SERS can be used for quick and semiquantitativediscrimination of pHCA concentrations in cell supernatant medium.

KW - Surface enchanced Raman spectroscopy

KW - P-coumaric acid

KW - E. coli

KW - Microbial factories

KW - Fast analysis

U2 - 10.1016/j.protcy.2017.04.081

DO - 10.1016/j.protcy.2017.04.081

M3 - Conference abstract in journal

VL - 27

SP - 190

EP - 192

JO - Procedia Technology

JF - Procedia Technology

SN - 2212-0173

ER -