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A multimodal analytical toolkit to resolve correlated reaction pathways: the case of nanoparticle formation in zeolites

Unraveling the complex, competing pathways that can govern reactions in multicomponent systems is an experimental and technical challenge. We outline and apply a novel analytical toolkit that fully leverages the synchronicity of multimodal experiments to deconvolute causal from correlative relations...

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Autores principales: O'Nolan, Daniel, Zhao, Haiyan, Chen, Zhihengyu, Grenier, Antonin, Beauvais, Michelle L., Newton, Mark A., Nenoff, Tina M., Chupas, Peter J., Chapman, Karena W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549813/
https://www.ncbi.nlm.nih.gov/pubmed/34760169
http://dx.doi.org/10.1039/d1sc04232g
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author O'Nolan, Daniel
Zhao, Haiyan
Chen, Zhihengyu
Grenier, Antonin
Beauvais, Michelle L.
Newton, Mark A.
Nenoff, Tina M.
Chupas, Peter J.
Chapman, Karena W.
author_facet O'Nolan, Daniel
Zhao, Haiyan
Chen, Zhihengyu
Grenier, Antonin
Beauvais, Michelle L.
Newton, Mark A.
Nenoff, Tina M.
Chupas, Peter J.
Chapman, Karena W.
author_sort O'Nolan, Daniel
collection PubMed
description Unraveling the complex, competing pathways that can govern reactions in multicomponent systems is an experimental and technical challenge. We outline and apply a novel analytical toolkit that fully leverages the synchronicity of multimodal experiments to deconvolute causal from correlative relationships and resolve structural and chemical changes in complex materials. Here, simultaneous multimodal measurements combined diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and angular dispersive X-ray scattering suitable for pair distribution function (PDF), X-ray diffraction (XRD) and small angle X-ray scattering (SAXS) analyses. The multimodal experimental data was interpreted via multi-level analysis; conventional analyses of each data series were integrated through meta-analysis involving non-negative matrix factorization (NMF) as a dimensional reduction algorithm and correlation analysis. We apply this toolkit to build a cohesive mechanistic picture of the pathways governing silver nanoparticle formation in zeolite A (LTA), which is key to designing catalytic and separations-based applications. For this Ag-LTA system, the mechanisms of zeolite dehydration, framework flexing, ion reduction, and cluster and nanoparticle formation and transport through the zeolite are elucidated. We note that the advanced analytical approach outline here can be applied generally to multimodal experiments, to take full advantage of the efficiencies and self-consistencies in understanding complex materials and go beyond what can be achieved by conventional approaches to data analysis.
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spelling pubmed-85498132021-11-09 A multimodal analytical toolkit to resolve correlated reaction pathways: the case of nanoparticle formation in zeolites O'Nolan, Daniel Zhao, Haiyan Chen, Zhihengyu Grenier, Antonin Beauvais, Michelle L. Newton, Mark A. Nenoff, Tina M. Chupas, Peter J. Chapman, Karena W. Chem Sci Chemistry Unraveling the complex, competing pathways that can govern reactions in multicomponent systems is an experimental and technical challenge. We outline and apply a novel analytical toolkit that fully leverages the synchronicity of multimodal experiments to deconvolute causal from correlative relationships and resolve structural and chemical changes in complex materials. Here, simultaneous multimodal measurements combined diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and angular dispersive X-ray scattering suitable for pair distribution function (PDF), X-ray diffraction (XRD) and small angle X-ray scattering (SAXS) analyses. The multimodal experimental data was interpreted via multi-level analysis; conventional analyses of each data series were integrated through meta-analysis involving non-negative matrix factorization (NMF) as a dimensional reduction algorithm and correlation analysis. We apply this toolkit to build a cohesive mechanistic picture of the pathways governing silver nanoparticle formation in zeolite A (LTA), which is key to designing catalytic and separations-based applications. For this Ag-LTA system, the mechanisms of zeolite dehydration, framework flexing, ion reduction, and cluster and nanoparticle formation and transport through the zeolite are elucidated. We note that the advanced analytical approach outline here can be applied generally to multimodal experiments, to take full advantage of the efficiencies and self-consistencies in understanding complex materials and go beyond what can be achieved by conventional approaches to data analysis. The Royal Society of Chemistry 2021-09-13 /pmc/articles/PMC8549813/ /pubmed/34760169 http://dx.doi.org/10.1039/d1sc04232g Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
O'Nolan, Daniel
Zhao, Haiyan
Chen, Zhihengyu
Grenier, Antonin
Beauvais, Michelle L.
Newton, Mark A.
Nenoff, Tina M.
Chupas, Peter J.
Chapman, Karena W.
A multimodal analytical toolkit to resolve correlated reaction pathways: the case of nanoparticle formation in zeolites
title A multimodal analytical toolkit to resolve correlated reaction pathways: the case of nanoparticle formation in zeolites
title_full A multimodal analytical toolkit to resolve correlated reaction pathways: the case of nanoparticle formation in zeolites
title_fullStr A multimodal analytical toolkit to resolve correlated reaction pathways: the case of nanoparticle formation in zeolites
title_full_unstemmed A multimodal analytical toolkit to resolve correlated reaction pathways: the case of nanoparticle formation in zeolites
title_short A multimodal analytical toolkit to resolve correlated reaction pathways: the case of nanoparticle formation in zeolites
title_sort multimodal analytical toolkit to resolve correlated reaction pathways: the case of nanoparticle formation in zeolites
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549813/
https://www.ncbi.nlm.nih.gov/pubmed/34760169
http://dx.doi.org/10.1039/d1sc04232g
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