Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 49
Number of items: 49
  • Woldegebriel, M., Zomer, P., Mol, H. G. J., & Vivó-Truyols, G. (2016). Application of Fragment Ion Information as Further Evidence in Probabilistic Compound Screening Using Bayesian Statistics and Machine Learning: A Leap Toward Automation. Analytical Chemistry, 88(15), 7705-7714. https://doi.org/10.1021/acs.analchem.6b01630
  • Sampat, A. A. S., Lopatka, M., Vivó-Truyols, G., Schoenmakers, P. J., & van Asten, A. C. (2016). Towards chemical profiling of ignitable liquids with comprehensive two-dimensional gas chromatography: Exploring forensic application to neat white spirits. Forensic Science International, 267, 183-195. https://doi.org/10.1016/j.forsciint.2016.08.006
  • Woldegebriel, M., & Vivó-Truyols, G. (2016). A New Bayesian Approach for Estimating the Presence of a Suspected Compound in Routine Screening Analysis. Analytical Chemistry, 88(19), 9843-9849. https://doi.org/10.1021/acs.analchem.6b03026
  • Barcaru, A., & Vivó-Truyols, G. (2016). Use of Bayesian Statistics for Pairwise Comparison of Megavariate Data Sets: Extracting Meaningful Differences between GCxGC-MS Chromatograms Using Jensen-Shannon Divergence. Analytical Chemistry, 88(4), 2096-2104. https://doi.org/10.1021/acs.analchem.5b03506
  • Lopatka, M., Barcaru, A., Sjerps, M. J., & Vivó-Truyols, G. (2016). Leveraging probabilistic peak detection to estimate baseline drift in complex chromatographic samples. Journal of Chromatography A, 1431, 122-130. https://doi.org/10.1016/j.chroma.2015.12.063
  • Sampat, A., Lopatka, M., Sjerps, M., Vivo-Truyols, G., Schoenmakers, P., & van Asten, A. (2016). Forensic potential of comprehensive two-dimensional gas chromatography. Trends in Analytical Chemistry, 80, 345-363. https://doi.org/10.1016/j.trac.2015.10.011
  • Open Access
    Pirok, B. W. J., Pous-Torres, S., Ortiz-Bolsico, C., Vivó-Truyols, G., & Schoenmakers, P. J. (2016). Program for the interpretive optimization of two-dimensional resolution. Journal of Chromatography A, 1450, 29-37. https://doi.org/10.1016/j.chroma.2016.04.061
  • Open Access
    de Rijke, E., Schoorl, J. C., Cerli, C., Vonhof, H. B., Verdegaal, S. J. A., Vivó-Truyols, G., Lopatka, M., Dekter, R., Bakker, D., Sjerps, M. J., Ebskamp, M., & de Koster, C. G. (2016). The use of δ2H and δ18O isotopic analyses combined with chemometrics as a traceability tool for the geographical origin of bell peppers. Food Chemistry, 204, 122-128. https://doi.org/10.1016/j.foodchem.2016.01.134
  • Open Access
    Lopatka, M. (2016). Statistical interpretation of chemical evidence pertaining to fire debris. [Thesis, fully internal, Universiteit van Amsterdam].
  • Lopatka, M., Sigman, M. E., Sjerps, M. J., Williams, M. R., & Vivó-Truyols, G. (2015). Class-conditional feature modeling for ignitable liquid classification with substantial substrate contribution in fire debris analysis. Forensic Science International, 252, 177-186. https://doi.org/10.1016/j.forsciint.2015.04.035
Page 2 of 5