Novel methodology for quick detection of bacterial metabolites

Maria Gonçalves; Jorge Fernandes; Viktor Fetter; Mário Diniz; Valentina Vassilenko

doi:10.1109/ENBENG.2019.8692557

Novel methodology for quick detection of bacterial metabolites

Maria Gonçalves, Jorge Fernandes, Viktor Fetter, Mário Diniz, Valentina Vassilenko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Fast detection of biological contaminations is of great importance in several areas of human health, such as, toxicology, environmental health and medicine. The need for developing sample retrieving methods in situ and techniques for fast and online detection of biological contamination is of crucial importance, not only for preventing infections but also to perform the most appropriate and effective medical treatment. In this work we report a method and an experimental protocol developed for the detection and analysis of VOCs emitted from bacteria by Ion Mobility Spectrometry coupled to Gas Chromatography (GC-IMS). As a biological model for study, the two Gram-Negative bacteria, Escherichia coli and Pseudomonas aeruginosa, were chosen. VOC profiles for these bacteria, individual and in the mixture, were obtained from the analysis of GC-IMS spectra. In addition, a study of the influence of the nutrition medium were performed.

Original language	English
Title of host publication	6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781538685068
DOIs	https://doi.org/10.1109/ENBENG.2019.8692557
Publication status	Published - 15 Apr 2019
Event	6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Lisbon, Portugal Duration: 22 Feb 2019 → 23 Feb 2019

Conference

Conference	6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019
Country/Territory	Portugal
City	Lisbon
Period	22/02/19 → 23/02/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Escherichia coli identification
Gas Chromatography (GC)
Ion Mobility Spectrometry (IMS)
Pseudomonas aeruginosa identification
Volatile organic compound

Access to Document

10.1109/ENBENG.2019.8692557

Cite this

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title = "Novel methodology for quick detection of bacterial metabolites",

abstract = "Fast detection of biological contaminations is of great importance in several areas of human health, such as, toxicology, environmental health and medicine. The need for developing sample retrieving methods in situ and techniques for fast and online detection of biological contamination is of crucial importance, not only for preventing infections but also to perform the most appropriate and effective medical treatment. In this work we report a method and an experimental protocol developed for the detection and analysis of VOCs emitted from bacteria by Ion Mobility Spectrometry coupled to Gas Chromatography (GC-IMS). As a biological model for study, the two Gram-Negative bacteria, Escherichia coli and Pseudomonas aeruginosa, were chosen. VOC profiles for these bacteria, individual and in the mixture, were obtained from the analysis of GC-IMS spectra. In addition, a study of the influence of the nutrition medium were performed.",

keywords = "Escherichia coli identification, Gas Chromatography (GC), Ion Mobility Spectrometry (IMS), Pseudomonas aeruginosa identification, Volatile organic compound",

author = "Maria Gon{\c c}alves and Jorge Fernandes and Viktor Fetter and M{\'a}rio Diniz and Valentina Vassilenko",

note = "UID/Multi/04378/2013. POCI-01-0145-FEDER-007728. UID/FIS/04559/2013. Sem PDF conforme despacho.; 6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 ; Conference date: 22-02-2019 Through 23-02-2019",

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day = "15",

doi = "10.1109/ENBENG.2019.8692557",

language = "English",

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Gonçalves, M, Fernandes, J, Fetter, V, Diniz, M & Vassilenko, V 2019, Novel methodology for quick detection of bacterial metabolites. in 6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings., 8692557, Institute of Electrical and Electronics Engineers (IEEE), 6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019, Lisbon, Portugal, 22/02/19. https://doi.org/10.1109/ENBENG.2019.8692557

Novel methodology for quick detection of bacterial metabolites. / Gonçalves, Maria; Fernandes, Jorge; Fetter, Viktor et al.
6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 2019. 8692557.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Novel methodology for quick detection of bacterial metabolites

AU - Gonçalves, Maria

AU - Fernandes, Jorge

AU - Fetter, Viktor

AU - Diniz, Mário

AU - Vassilenko, Valentina

N1 - UID/Multi/04378/2013. POCI-01-0145-FEDER-007728. UID/FIS/04559/2013. Sem PDF conforme despacho.

PY - 2019/4/15

Y1 - 2019/4/15

N2 - Fast detection of biological contaminations is of great importance in several areas of human health, such as, toxicology, environmental health and medicine. The need for developing sample retrieving methods in situ and techniques for fast and online detection of biological contamination is of crucial importance, not only for preventing infections but also to perform the most appropriate and effective medical treatment. In this work we report a method and an experimental protocol developed for the detection and analysis of VOCs emitted from bacteria by Ion Mobility Spectrometry coupled to Gas Chromatography (GC-IMS). As a biological model for study, the two Gram-Negative bacteria, Escherichia coli and Pseudomonas aeruginosa, were chosen. VOC profiles for these bacteria, individual and in the mixture, were obtained from the analysis of GC-IMS spectra. In addition, a study of the influence of the nutrition medium were performed.

AB - Fast detection of biological contaminations is of great importance in several areas of human health, such as, toxicology, environmental health and medicine. The need for developing sample retrieving methods in situ and techniques for fast and online detection of biological contamination is of crucial importance, not only for preventing infections but also to perform the most appropriate and effective medical treatment. In this work we report a method and an experimental protocol developed for the detection and analysis of VOCs emitted from bacteria by Ion Mobility Spectrometry coupled to Gas Chromatography (GC-IMS). As a biological model for study, the two Gram-Negative bacteria, Escherichia coli and Pseudomonas aeruginosa, were chosen. VOC profiles for these bacteria, individual and in the mixture, were obtained from the analysis of GC-IMS spectra. In addition, a study of the influence of the nutrition medium were performed.

KW - Escherichia coli identification

KW - Gas Chromatography (GC)

KW - Ion Mobility Spectrometry (IMS)

KW - Pseudomonas aeruginosa identification

KW - Volatile organic compound

UR - https://www.scopus.com/pages/publications/85065465789

U2 - 10.1109/ENBENG.2019.8692557

DO - 10.1109/ENBENG.2019.8692557

M3 - Conference contribution

AN - SCOPUS:85065465789

BT - 6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019

Y2 - 22 February 2019 through 23 February 2019

ER -

Novel methodology for quick detection of bacterial metabolites

Abstract

Conference

UN SDGs

Keywords

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