Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Bob W.J. Pirok"'
Autor:
Leon E. Niezen, Jordy D. Kruijswijk, Gerben B. van Henten, Bob W.J. Pirok, Bastiaan B.P. Staal, Wolfgang Radke, Harry J.A. Philipsen, Govert W. Somsen, Peter J. Schoenmakers
Publikováno v:
Niezen, L E, Kruijswijk, J D, van Henten, G B, Pirok, B W J, Staal, B B P, Radke, W, Philipsen, H J A, Somsen, G W & Schoenmakers, P J 2023, ' Principles and potential of solvent gradient size-exclusion chromatography for polymer analysis ', Analytica Chimica Acta, vol. 1253, 341041, pp. 1-9 . https://doi.org/10.1016/j.aca.2023.341041
Analytica Chimica Acta, 1253:341041, 1-9. Elsevier
Analytica Chimica Acta, 1253:341041, 1-9. Elsevier
The properties of a polymeric material are influenced by its underlying molecular distributions, including the molecular-weight (MWD), chemical-composition (CCD), and/or block-length (BLD) distributions. Gradient-elution liquid chromatography (LC) is
Publikováno v:
Multi-Dimensional Liquid Chromatography ISBN: 9781003090557
Multi-dimensional liquid chromatography methods, particularly those involving comprehensive multi-dimensional separation, often produce datasets that are much richer and more complex than those normally obtained by conventional one-dimensional separa
Autor:
Bob W.J. Pirok, Dwight R. Stoll
Publikováno v:
Multi-Dimensional Liquid Chromatography ISBN: 9781003090557
Method development continues to be a significant barrier to wider adoption of comprehensive two-dimensional liquid chromatography (LC×LC). Several groups have discussed different frameworks for systematically approaching method development over the
Autor:
Leon E. Niezen, Bastiaan B.P. Staal, Christiane Lang, Harry J.A. Philipsen, Bob W.J. Pirok, Govert W. Somsen, Peter J. Schoenmakers
Publikováno v:
Niezen, L E, Staal, B B P, Lang, C, Philipsen, H J A, Pirok, B W J, Somsen, G W & Schoenmakers, P J 2022, ' Recycling gradient-elution liquid chromatography for the analysis of chemical-composition distributions of polymers ', Journal of Chromatography A, vol. 1679, 463386, pp. 1-11 . https://doi.org/10.1016/j.chroma.2022.463386
Journal of Chromatography A, 1679:463386, 1-11. Elsevier
Journal of Chromatography A, 1679:463386. Elsevier
Journal of Chromatography A, 1679:463386, 1-11. Elsevier
Journal of Chromatography A, 1679:463386. Elsevier
Synthetic polymers typically show dispersity in molecular weight and potentially in chemical composition. For the analysis of the chemical-composition distribution (CCD) gradient liquid chromatography may be used. The CCD obtained using this method i
Autor:
Dwight R. Stoll, Bob W.J. Pirok
Publikováno v:
LCGC North America. :30-34
The history of multidimensional liquid chromatography (MDLC) has been dominated by methods that have been developed using highly empirical, experience-driven, trial-and-error approaches. These approaches have been sufficient in progressing the field
Autor:
Bob W.J. Pirok, Dwight R. Stoll
Publikováno v:
Multi-Dimensional Liquid Chromatography ISBN: 9781003090557
One of the most important steps in the development of any 2D-LC method involves choosing which modes of separation to use (e.g., reversed-phase (RP), ion-exchange, etc.). The rationale leading to this step involves not only the characteristics of the
Publikováno v:
Analytica chimica acta. 1238
Many industrial polymers which find application in contemporary materials are copolymers. Copolymers feature multiple distributions, that govern their physical properties, including the sequence distribution. Styrene-acrylate copolymers are an import
Autor:
Mimi J. den Uijl, Tim Roeland, Tijmen S. Bos, Peter J. Schoenmakers, Maarten R. van Bommel, Bob W.J. Pirok
Publikováno v:
Journal of Chromatography A, 1679:463388. Elsevier
Journal of Chromatography A, 1679:463388, 1-10. Elsevier
den Uijl, M J, Roeland, T, Bos, T S, Schoenmakers, P J, van Bommel, M R & Pirok, B W J 2022, ' Assessing the feasibility of stationary-phase-assisted modulation for two-dimensional liquid-chromatography separations ', Journal of Chromatography A, vol. 1679, 463388, pp. 1-10 . https://doi.org/10.1016/j.chroma.2022.463388
Journal of Chromatography A, 1679:463388, 1-10. Elsevier
den Uijl, M J, Roeland, T, Bos, T S, Schoenmakers, P J, van Bommel, M R & Pirok, B W J 2022, ' Assessing the feasibility of stationary-phase-assisted modulation for two-dimensional liquid-chromatography separations ', Journal of Chromatography A, vol. 1679, 463388, pp. 1-10 . https://doi.org/10.1016/j.chroma.2022.463388
Two-dimensional liquid chromatography (2DLC) offers great separation power for complex mixtures. The frequently encountered incompatibility of two orthogonal separation systems, however, makes its application complicated. Active-modulation strategies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fea9bd0c07852fceeb5d0c2a042dc339
https://dare.uva.nl/personal/pure/en/publications/assessing-the-feasibility-of-stationaryphaseassisted-modulation-for-twodimensional-liquidchromatography-separations(3f07bd8f-320e-4a17-bcb6-d22f8acc9ff2).html
https://dare.uva.nl/personal/pure/en/publications/assessing-the-feasibility-of-stationaryphaseassisted-modulation-for-twodimensional-liquidchromatography-separations(3f07bd8f-320e-4a17-bcb6-d22f8acc9ff2).html
Publikováno v:
Journal of analytical and applied pyrolysis, 165:105578. Elsevier
The sequence distribution, which describes the order of monomers in a copolymer, is notoriously hard to study. The current standard in polymer sequence determination, NMR, is limited to simple copolymers due to lack in resolution and sensitivity. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be802049b24ec1c1765f15060ac4749e
https://dare.uva.nl/personal/pure/en/publications/expansion-of-the-application-range-of-pyrolysisgas-chromatography-to-copolymer-sequence-determination(32003d87-de6b-494d-855b-384c4cd601df).html
https://dare.uva.nl/personal/pure/en/publications/expansion-of-the-application-range-of-pyrolysisgas-chromatography-to-copolymer-sequence-determination(32003d87-de6b-494d-855b-384c4cd601df).html
Contemporary complex samples require sophisticated methods for full analysis. This work describes the development of a Bayesian optimization algorithm for automated and unsupervised development of gradient programs. The algorithm was tailored to LC u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba6bdd866c2c2e26ee1058a18a2afb8e
https://doi.org/10.26434/chemrxiv-2022-rbq49
https://doi.org/10.26434/chemrxiv-2022-rbq49