Search results
Results: 91
Number of items: 91
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Bos, T. S., Desport, J. S., Buijtenhuijs, A., Purmova, J., Karlson, L., Pirok, B. W. J., Schoenmakers, P. J., & Somsen, G. W. (2023). Composition mapping of highly substituted cellulose-ether monomers by liquid chromatography–mass spectrometry and probability-based data deconvolution. Journal of Chromatography A, 1689, Article 463758. https://doi.org/10.1016/j.chroma.2022.463758 -
Molenaar, S. R. A., Bos, T. S., Boelrijk, J., Dahlseid, T. A., Stoll, D. R., & Pirok, B. W. J. (2023). Computer-driven optimization of complex gradients in comprehensive two-dimensional liquid chromatography. Journal of Chromatography A, 1707, Article 464306. https://doi.org/10.1016/j.chroma.2023.464306 -
Molenaar, S. R. A., Mommers, J. H. M., Stoll, D. R., Ngxangxa, S., de Villiers, A. J., Schoenmakers, P. J., & Pirok, B. W. J. (2023). Algorithm for tracking peaks amongst numerous datasets in comprehensive two-dimensional chromatography to enhance data analysis and interpretation. Journal of Chromatography A, 1705, Article 464223. https://doi.org/10.1016/j.chroma.2023.464223 -
Niezen, L. E., Bos, T. S., Schoenmakers, P. J., Somsen, G. W., & Pirok, B. W. J. (2023). Capacitively coupled contactless conductivity detection to account for system-induced gradient deformation in liquid chromatography. Analytica Chimica Acta, 1271, Article 341466. https://doi.org/10.1016/j.aca.2023.341466 -
Knol, W. C., Vos, S., Gruendling, T., Pirok, B. W. J., & Peters, R. A. H. (2023). Improving the accuracy of copolymer sequence length determination by pyrolysis gas chromatography: A comprehensive study. Analytica Chimica Acta, 1238, Article 340635. https://doi.org/10.1016/j.aca.2022.340635 -
van den Hurk, R. S., Pursch, M., Stoll, D. R., & Pirok, B. W. J. (2023). Recent trends in two-dimensional liquid chromatography. TrAC - Trends in Analytical Chemistry, 166, Article 117166. https://doi.org/10.1016/j.trac.2023.117166 -
Molenaar, S. R. A., Knol, W. C., Pirok, B. W. J., & Peters, R. A. H. (2023). Development of a chemometric approach to improve the accuracy of copolymer sequence information obtained from pyrolysis gas-chromatography mass-spectrometry data. Journal of analytical and applied pyrolysis, 171, Article 105978. https://doi.org/10.1016/j.jaap.2023.105978 -
Pirok, B. W. J., Rutan, S. C., & Stoll, D. R. (2023). Data Analysis for Multi-Dimensional Liquid Chromatography. In D. R. Stoll, & P. W. Carr (Eds.), Multi-Dimensional Liquid Chromatography: Principles, Practice, and Applications (pp. 233-272). (Chromatographic Science Series). CRC Press. https://doi.org/10.1201/9781003090557-8
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