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Optimized sample preparation for fecal volatile organic compound analysis by gas chromatography–mass spectrometry
INTRODUCTION: Headspace gas chromatography–mass spectrometry (HS-GC–MS) is widely considered the gold standard of quantitative fecal VOC analysis. However, guidelines providing general recommendations for bioanalytical method application in research and clinical setting are lacking. OBJECTIVES: To p...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547966/ https://www.ncbi.nlm.nih.gov/pubmed/33037948 http://dx.doi.org/10.1007/s11306-020-01735-6 |
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author | el Manouni el Hassani, Sofia Soers, Ruud J. Berkhout, Daniel J. C. Niemarkt, Hendrik J. Weda, Hans Nijsen, Tamara Benninga, Marc A. de Boer, Nanne K. H. de Meij, Tim G. J. Knobel, Hugo H. |
author_facet | el Manouni el Hassani, Sofia Soers, Ruud J. Berkhout, Daniel J. C. Niemarkt, Hendrik J. Weda, Hans Nijsen, Tamara Benninga, Marc A. de Boer, Nanne K. H. de Meij, Tim G. J. Knobel, Hugo H. |
author_sort | el Manouni el Hassani, Sofia |
collection | PubMed |
description | INTRODUCTION: Headspace gas chromatography–mass spectrometry (HS-GC–MS) is widely considered the gold standard of quantitative fecal VOC analysis. However, guidelines providing general recommendations for bioanalytical method application in research and clinical setting are lacking. OBJECTIVES: To propose an evidence-based research protocol for fecal VOC analysis by HS-GC–MS, based on extensive testing of instrumental and sampling conditions on detection and quantification limits, linearity, accuracy and repeatability of VOC outcome. METHODS: The influence of the following variables were assessed: addition of different salt solutions, injection temperature, injection speed, injection volume, septum use, use of calibration curves and fecal sample mass. Ultimately, the optimal sample preparation was assessed using fecal samples from healthy preterm infants. Fecal VOC analysis in this specific population has potential as diagnostic biomarkers, but available amount of feces is limited here, so optimization of VOC extraction is of importance. RESULTS: We demonstrated that addition of lithium chloride enhanced the release of polar compounds (e.g. small alcohols) into the headspace. Second, a linear relationship between injection volume, speed and temperature, and fecal sample mass on the abundance of VOC was demonstrated. Furthermore, the use of a septum preserved 90% of the non-polar compounds. By application of optimal instrumental and sampling conditions, a maximum of 320 unique compounds consisting of 14 different chemical classes could be detected. CONCLUSIONS: These findings may contribute to standardized analysis of fecal VOC by HS-GC–MS, facilitating future application of fecal VOC in clinical practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-020-01735-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7547966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-75479662020-10-19 Optimized sample preparation for fecal volatile organic compound analysis by gas chromatography–mass spectrometry el Manouni el Hassani, Sofia Soers, Ruud J. Berkhout, Daniel J. C. Niemarkt, Hendrik J. Weda, Hans Nijsen, Tamara Benninga, Marc A. de Boer, Nanne K. H. de Meij, Tim G. J. Knobel, Hugo H. Metabolomics Original Article INTRODUCTION: Headspace gas chromatography–mass spectrometry (HS-GC–MS) is widely considered the gold standard of quantitative fecal VOC analysis. However, guidelines providing general recommendations for bioanalytical method application in research and clinical setting are lacking. OBJECTIVES: To propose an evidence-based research protocol for fecal VOC analysis by HS-GC–MS, based on extensive testing of instrumental and sampling conditions on detection and quantification limits, linearity, accuracy and repeatability of VOC outcome. METHODS: The influence of the following variables were assessed: addition of different salt solutions, injection temperature, injection speed, injection volume, septum use, use of calibration curves and fecal sample mass. Ultimately, the optimal sample preparation was assessed using fecal samples from healthy preterm infants. Fecal VOC analysis in this specific population has potential as diagnostic biomarkers, but available amount of feces is limited here, so optimization of VOC extraction is of importance. RESULTS: We demonstrated that addition of lithium chloride enhanced the release of polar compounds (e.g. small alcohols) into the headspace. Second, a linear relationship between injection volume, speed and temperature, and fecal sample mass on the abundance of VOC was demonstrated. Furthermore, the use of a septum preserved 90% of the non-polar compounds. By application of optimal instrumental and sampling conditions, a maximum of 320 unique compounds consisting of 14 different chemical classes could be detected. CONCLUSIONS: These findings may contribute to standardized analysis of fecal VOC by HS-GC–MS, facilitating future application of fecal VOC in clinical practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-020-01735-6) contains supplementary material, which is available to authorized users. Springer US 2020-10-10 2020 /pmc/articles/PMC7547966/ /pubmed/33037948 http://dx.doi.org/10.1007/s11306-020-01735-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article el Manouni el Hassani, Sofia Soers, Ruud J. Berkhout, Daniel J. C. Niemarkt, Hendrik J. Weda, Hans Nijsen, Tamara Benninga, Marc A. de Boer, Nanne K. H. de Meij, Tim G. J. Knobel, Hugo H. Optimized sample preparation for fecal volatile organic compound analysis by gas chromatography–mass spectrometry |
title | Optimized sample preparation for fecal volatile organic compound analysis by gas chromatography–mass spectrometry |
title_full | Optimized sample preparation for fecal volatile organic compound analysis by gas chromatography–mass spectrometry |
title_fullStr | Optimized sample preparation for fecal volatile organic compound analysis by gas chromatography–mass spectrometry |
title_full_unstemmed | Optimized sample preparation for fecal volatile organic compound analysis by gas chromatography–mass spectrometry |
title_short | Optimized sample preparation for fecal volatile organic compound analysis by gas chromatography–mass spectrometry |
title_sort | optimized sample preparation for fecal volatile organic compound analysis by gas chromatography–mass spectrometry |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547966/ https://www.ncbi.nlm.nih.gov/pubmed/33037948 http://dx.doi.org/10.1007/s11306-020-01735-6 |
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