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Results: 69
Number of items: 69
  • NGAN, H.-L., Turkina, V., van Herwerden, D., Yan, H., Cai, Z., & Samanipour, S. (2025, January 28). Additional Data from: Machine Learning for Enhanced Identification in RPLC/HRMS Non-Targeted Workflows [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14752892
  • Hulleman, T., Samanipour, S., Haddad, P., Raurert, C., Okoffo, E., Thomas, K., & O'Brien, J. (2025, May 23). Data for: Machine learning for predicting environmental mobility based on retention behaviour [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15493723
  • Open Access
    Bonetti, J. L. (2025). Chemometric analysis of mass spectral and spectroscopic data for improved NPS identification. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Ciccarelli, D., Samanipour, S., Rapp-Wright, H., Bieber, S., Letzel, T., O’Brien, J. W., Marczylo, T., Gant, T. W., Vineis, P., & Barron, L. P. (2025). Bridging knowledge gaps in human chemical exposure via drinking water with non-target screening. Critical Reviews in Environmental Science and Technology, 55(3), 190-214. https://doi.org/10.1080/10643389.2024.2396690
  • Open Access
    Sadia, M., Boudguiyer, Y., Helmus, R., Seijo, M., Praetorius, A., & Samanipour, S. (2025). A stochastic approach for parameter optimization of feature detection algorithms for non-target screening in mass spectrometry. Analytical and Bioanalytical Chemistry, 417(27), 6033-6047. https://doi.org/10.1007/s00216-024-05425-3
  • Kaserzon, S., Hansen, M. R. H., Krauss, M., Slobodník, J., Schulze, T., Gago-Ferrero, P., Fildier, A., Rostkowski, P., Kruve, A., Haglund, P. S., Vorkamp, K., Bijlsma, L., Brunner, A. M., Rauert, C. B., Vulliet, E., Gil-Solsona, R., Schulze, B., Singh, R. R., Celma, A., … Alygizakis, N. (2024). Additional file 1 of NORMAN guidance on suspect and non-target screening in environmental monitoring [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.26989486.v1
  • Hulleman, T., Samanipour, S., Haddad, P. R., Raurert, C., Okoffo, E. D., Thomas, K. V., & O'Brien, J. W. (2024, September 13). Data for: Machine learning for predicting environmental mobility based on retention behaviour [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13756045
  • Open Access
    van Herwerden, D., Nikolopoulos, A., Barron, L. P., O'Brien, J. W., Pirok, B. W. J., Thomas, K. V., & Samanipour, S. (2024). Exploring the chemical subspace of RPLC: A data driven approach. Analytica Chimica Acta, 1317, Article 342869. https://doi.org/10.1016/j.aca.2024.342869
  • Open Access
    Renai, L., Del Bubba, M., Gargano, A. F. G., & Samanipour, S. (2024). Consolidating two-dimensional liquid chromatography–high-resolution tandem mass spectrometry (LC×LC-HRMS/MS) technique for the non-targeted analysis of poly- and perfluorinated substances: A trial on aqueous film-forming foams. Science of the Total Environment, 952, Article 175908. https://doi.org/10.1016/j.scitotenv.2024.175908
  • Open Access
    Milani, N. B. L., García-Cicourel, A. R., Blomberg, J., Edam, R., Samanipour, S., Bos, T. S., & Pirok, B. W. J. (2024). Generating realistic data through modeling and parametric probability for the numerical evaluation of data processing algorithms in two-dimensional chromatography. Analytica Chimica Acta, 1312, Article 342724. https://doi.org/10.1016/j.aca.2024.342724
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