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Insights into Dodecenes Produced from Olefin Oligomerization Based on Two-Dimensional Gas Chromatography–Photoionization–Time of Flight Mass Spectrometry and Multivariate Statistics
[Image: see text] Catalyzed light olefin oligomerization is widely used in petrochemical industries to produce fuels and chemicals. Light olefins such as propene and butenes are commonly selected as feedstocks. Solid phosphoric acid (SPA) and zeolite are representative acidic catalysts. Both the fee...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613810/ https://www.ncbi.nlm.nih.gov/pubmed/34841139 http://dx.doi.org/10.1021/acsomega.1c03328 |
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author | Zou, Yun Stefanuto, Pierre-Hugues Maimone, Mariarosa Janssen, Marcel Focant, Jean-François |
author_facet | Zou, Yun Stefanuto, Pierre-Hugues Maimone, Mariarosa Janssen, Marcel Focant, Jean-François |
author_sort | Zou, Yun |
collection | PubMed |
description | [Image: see text] Catalyzed light olefin oligomerization is widely used in petrochemical industries to produce fuels and chemicals. Light olefins such as propene and butenes are commonly selected as feedstocks. Solid phosphoric acid (SPA) and zeolite are representative acidic catalysts. Both the feedstocks and catalysts have an impact on the product composition. In this study, state-of-the-art instrumentation two-dimensional gas chromatography (GC × GC) coupled photoionization—time of flight mass spectrometry was employed to investigate the composition of dodecene products produced from olefin oligomerization. Information such as the olefin congener distribution, dodecene structural subgroup distribution, and individual dodecene isomers was obtained and utilized in the statistical analyses. By using specific data sets of the product composition, the distinguishment between SPA and zeolite catalysts as well as among the feedstocks was achieved by applying the unsupervised screening approaches (principal component analysis and hierarchical clustering analysis). The potential indicators of catalysts and feedstocks were selected by the feature selection methods (univariate analysis: analysis of variance and multivariate analysis: partial least squares-discriminant analysis). |
format | Online Article Text |
id | pubmed-8613810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-86138102021-11-26 Insights into Dodecenes Produced from Olefin Oligomerization Based on Two-Dimensional Gas Chromatography–Photoionization–Time of Flight Mass Spectrometry and Multivariate Statistics Zou, Yun Stefanuto, Pierre-Hugues Maimone, Mariarosa Janssen, Marcel Focant, Jean-François ACS Omega [Image: see text] Catalyzed light olefin oligomerization is widely used in petrochemical industries to produce fuels and chemicals. Light olefins such as propene and butenes are commonly selected as feedstocks. Solid phosphoric acid (SPA) and zeolite are representative acidic catalysts. Both the feedstocks and catalysts have an impact on the product composition. In this study, state-of-the-art instrumentation two-dimensional gas chromatography (GC × GC) coupled photoionization—time of flight mass spectrometry was employed to investigate the composition of dodecene products produced from olefin oligomerization. Information such as the olefin congener distribution, dodecene structural subgroup distribution, and individual dodecene isomers was obtained and utilized in the statistical analyses. By using specific data sets of the product composition, the distinguishment between SPA and zeolite catalysts as well as among the feedstocks was achieved by applying the unsupervised screening approaches (principal component analysis and hierarchical clustering analysis). The potential indicators of catalysts and feedstocks were selected by the feature selection methods (univariate analysis: analysis of variance and multivariate analysis: partial least squares-discriminant analysis). American Chemical Society 2021-11-10 /pmc/articles/PMC8613810/ /pubmed/34841139 http://dx.doi.org/10.1021/acsomega.1c03328 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Zou, Yun Stefanuto, Pierre-Hugues Maimone, Mariarosa Janssen, Marcel Focant, Jean-François Insights into Dodecenes Produced from Olefin Oligomerization Based on Two-Dimensional Gas Chromatography–Photoionization–Time of Flight Mass Spectrometry and Multivariate Statistics |
title | Insights into Dodecenes Produced from Olefin Oligomerization
Based on Two-Dimensional Gas Chromatography–Photoionization–Time
of Flight Mass Spectrometry and Multivariate Statistics |
title_full | Insights into Dodecenes Produced from Olefin Oligomerization
Based on Two-Dimensional Gas Chromatography–Photoionization–Time
of Flight Mass Spectrometry and Multivariate Statistics |
title_fullStr | Insights into Dodecenes Produced from Olefin Oligomerization
Based on Two-Dimensional Gas Chromatography–Photoionization–Time
of Flight Mass Spectrometry and Multivariate Statistics |
title_full_unstemmed | Insights into Dodecenes Produced from Olefin Oligomerization
Based on Two-Dimensional Gas Chromatography–Photoionization–Time
of Flight Mass Spectrometry and Multivariate Statistics |
title_short | Insights into Dodecenes Produced from Olefin Oligomerization
Based on Two-Dimensional Gas Chromatography–Photoionization–Time
of Flight Mass Spectrometry and Multivariate Statistics |
title_sort | insights into dodecenes produced from olefin oligomerization
based on two-dimensional gas chromatography–photoionization–time
of flight mass spectrometry and multivariate statistics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613810/ https://www.ncbi.nlm.nih.gov/pubmed/34841139 http://dx.doi.org/10.1021/acsomega.1c03328 |
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