Quantitative GC–TCD Measurements of Major Flatus Components: A Preliminary Analysis of the Diet Effect
The impact of diet and digestive disorders in flatus composition remains largely unexplored. This is partially due to the lack of standardized sampling collection methods, and the easy atmospheric contamination. This paper describes a method to quantitatively determine the major gases in flatus and...
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| Published in | Sensors (Basel, Switzerland) Vol. 22; no. 3; p. 838 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
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MDPI AG
22.01.2022
MDPI |
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| Online Access | Get full text |
| ISSN | 1424-8220 1424-8220 |
| DOI | 10.3390/s22030838 |
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| Abstract | The impact of diet and digestive disorders in flatus composition remains largely unexplored. This is partially due to the lack of standardized sampling collection methods, and the easy atmospheric contamination. This paper describes a method to quantitatively determine the major gases in flatus and their application in a nutritional intervention. We describe how to direct sample flatus into Tedlar bags, and simultaneous analysis by gas chromatography–thermal conductivity detection (GC–TCD). Results are analyzed by univariate hypothesis testing and by multilevel principal component analysis. The reported methodology allows simultaneous determination of the five major gases with root mean measurement errors of 0.8% for oxygen (O2), 0.9% for nitrogen (N2), 0.14% for carbon dioxide (CO2), 0.11% for methane (CH4), and 0.26% for hydrogen (H2). The atmospheric contamination was limited to 0.86 (95% CI: [0.7–1.0])% for oxygen and 3.4 (95% CI: [1.4–5.3])% for nitrogen. As an illustration, the method has been successfully applied to measure the response to a nutritional intervention in a reduced crossover study in healthy subjects. |
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| AbstractList | The impact of diet and digestive disorders in flatus composition remains largely unexplored. This is partially due to the lack of standardized sampling collection methods, and the easy atmospheric contamination. This paper describes a method to quantitatively determine the major gases in flatus and their application in a nutritional intervention. We describe how to direct sample flatus into Tedlar bags, and simultaneous analysis by gas chromatography-thermal conductivity detection (GC-TCD). Results are analyzed by univariate hypothesis testing and by multilevel principal component analysis. The reported methodology allows simultaneous determination of the five major gases with root mean measurement errors of 0.8% for oxygen (O
), 0.9% for nitrogen (N
), 0.14% for carbon dioxide (CO
), 0.11% for methane (CH
), and 0.26% for hydrogen (H
). The atmospheric contamination was limited to 0.86 (95% CI: [0.7-1.0])% for oxygen and 3.4 (95% CI: [1.4-5.3])% for nitrogen. As an illustration, the method has been successfully applied to measure the response to a nutritional intervention in a reduced crossover study in healthy subjects. The impact of diet and digestive disorders in flatus composition remains largely unexplored. This is partially due to the lack of standardized sampling collection methods, and the easy atmospheric contamination. This paper describes a method to quantitatively determine the major gases in flatus and their application in a nutritional intervention. We describe how to direct sample flatus into Tedlar bags, and simultaneous analysis by gas chromatography–thermal conductivity detection (GC–TCD). Results are analyzed by univariate hypothesis testing and by multilevel principal component analysis. The reported methodology allows simultaneous determination of the five major gases with root mean measurement errors of 0.8% for oxygen (O2), 0.9% for nitrogen (N2), 0.14% for carbon dioxide (CO2), 0.11% for methane (CH4), and 0.26% for hydrogen (H2). The atmospheric contamination was limited to 0.86 (95% CI: [0.7–1.0])% for oxygen and 3.4 (95% CI: [1.4–5.3])% for nitrogen. As an illustration, the method has been successfully applied to measure the response to a nutritional intervention in a reduced crossover study in healthy subjects. The impact of diet and digestive disorders in flatus composition remains largely unexplored. This is partially due to the lack of standardized sampling collection methods, and the easy atmospheric contamination. This paper describes a method to quantitatively determine the major gases in flatus and their application in a nutritional intervention. We describe how to direct sample flatus into Tedlar bags, and simultaneous analysis by gas chromatography-thermal conductivity detection (GC-TCD). Results are analyzed by univariate hypothesis testing and by multilevel principal component analysis. The reported methodology allows simultaneous determination of the five major gases with root mean measurement errors of 0.8% for oxygen (O2), 0.9% for nitrogen (N2), 0.14% for carbon dioxide (CO2), 0.11% for methane (CH4), and 0.26% for hydrogen (H2). The atmospheric contamination was limited to 0.86 (95% CI: [0.7-1.0])% for oxygen and 3.4 (95% CI: [1.4-5.3])% for nitrogen. As an illustration, the method has been successfully applied to measure the response to a nutritional intervention in a reduced crossover study in healthy subjects.The impact of diet and digestive disorders in flatus composition remains largely unexplored. This is partially due to the lack of standardized sampling collection methods, and the easy atmospheric contamination. This paper describes a method to quantitatively determine the major gases in flatus and their application in a nutritional intervention. We describe how to direct sample flatus into Tedlar bags, and simultaneous analysis by gas chromatography-thermal conductivity detection (GC-TCD). Results are analyzed by univariate hypothesis testing and by multilevel principal component analysis. The reported methodology allows simultaneous determination of the five major gases with root mean measurement errors of 0.8% for oxygen (O2), 0.9% for nitrogen (N2), 0.14% for carbon dioxide (CO2), 0.11% for methane (CH4), and 0.26% for hydrogen (H2). The atmospheric contamination was limited to 0.86 (95% CI: [0.7-1.0])% for oxygen and 3.4 (95% CI: [1.4-5.3])% for nitrogen. As an illustration, the method has been successfully applied to measure the response to a nutritional intervention in a reduced crossover study in healthy subjects. The impact of diet and digestive disorders in flatus composition remains largely unexplored. This is partially due to the lack of standardized sampling collection methods, and the easy atmospheric contamination. This paper describes a method to quantitatively determine the major gases in flatus and their application in a nutritional intervention. We describe how to direct sample flatus into Tedlar bags, and simultaneous analysis by gas chromatography–thermal conductivity detection (GC–TCD). Results are analyzed by univariate hypothesis testing and by multilevel principal component analysis. The reported methodology allows simultaneous determination of the five major gases with root mean measurement errors of 0.8% for oxygen (O[sub.2]), 0.9% for nitrogen (N[sub.2]), 0.14% for carbon dioxide (CO[sub.2]), 0.11% for methane (CH[sub.4]), and 0.26% for hydrogen (H[sub.2]). The atmospheric contamination was limited to 0.86 (95% CI: [0.7–1.0])% for oxygen and 3.4 (95% CI: [1.4–5.3])% for nitrogen. As an illustration, the method has been successfully applied to measure the response to a nutritional intervention in a reduced crossover study in healthy subjects. |
| Audience | Academic |
| Author | Mego, Marianela Azpiroz, Fernando Marco, Santiago Mas, Silvia Oliveira, Luciana Fontes Pardo, Antonio Freire, Rafael |
| AuthorAffiliation | 1 Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Baldiri Reixac 10-12, 08028 Barcelona, Spain; rfreire@ibecbarcelona.eu (R.F.); loliveira@ibecbarcelona.eu (L.F.O.); smas@ibecbarcelona.eu (S.M.) 2 Hospital General de Catalunya, Pedro i Pons, 1, 08190 Sant Cugat del Vallésa, Spain; marianelamego@hotmail.com 3 Digestive System Research Unit, University Hospital Vall d’Hebron, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd) Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain; azpiroz.fernando@gmail.com 5 Department of Electronics and Biomedical Engineering, Universitat de Barcelona, Marti i Franqués 1, 08028 Barcelona, Spain; a.pardo@ub.edu 4 Departament de Medicina, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain |
| AuthorAffiliation_xml | – name: 5 Department of Electronics and Biomedical Engineering, Universitat de Barcelona, Marti i Franqués 1, 08028 Barcelona, Spain; a.pardo@ub.edu – name: 2 Hospital General de Catalunya, Pedro i Pons, 1, 08190 Sant Cugat del Vallésa, Spain; marianelamego@hotmail.com – name: 1 Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Baldiri Reixac 10-12, 08028 Barcelona, Spain; rfreire@ibecbarcelona.eu (R.F.); loliveira@ibecbarcelona.eu (L.F.O.); smas@ibecbarcelona.eu (S.M.) – name: 3 Digestive System Research Unit, University Hospital Vall d’Hebron, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd) Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain; azpiroz.fernando@gmail.com – name: 4 Departament de Medicina, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain |
| Author_xml | – sequence: 1 givenname: Rafael surname: Freire fullname: Freire, Rafael – sequence: 2 givenname: Marianela surname: Mego fullname: Mego, Marianela – sequence: 3 givenname: Luciana Fontes surname: Oliveira fullname: Oliveira, Luciana Fontes – sequence: 4 givenname: Silvia surname: Mas fullname: Mas, Silvia – sequence: 5 givenname: Fernando orcidid: 0000-0002-7327-960X surname: Azpiroz fullname: Azpiroz, Fernando – sequence: 6 givenname: Santiago orcidid: 0000-0003-2663-2965 surname: Marco fullname: Marco, Santiago – sequence: 7 givenname: Antonio orcidid: 0000-0003-4369-544X surname: Pardo fullname: Pardo, Antonio |
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| Keywords | diet effect on flatus rectal gas collection major flatus gas components multilevel principal component analysis |
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| Title | Quantitative GC–TCD Measurements of Major Flatus Components: A Preliminary Analysis of the Diet Effect |
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