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Wouters, B., Dapic, I., Valkenburg, T. S. E., Wouters, S., Niezen, L., Eeltink, S., Corthals, G. L., & Schoenmakers, P. J. (2017). A cyclic-olefin-copolymer microfluidic immobilized-enzyme reactor for rapid digestion of proteins from dried blood spots. Journal of Chromatography A, 1491, 36-42. https://doi.org/10.1016/j.chroma.2017.01.078
van Dam, E. P., van den Berg, K. J., Proaño Gaibor, A. N., & van Bommel, M. (2017). Analysis of triglyceride degradation products in drying oils and oil paints using LC–ESI-MS. International Journal of Mass Spectrometry, 413, 33-42. https://doi.org/10.1016/j.ijms.2016.09.004
Woldegebriel, M. T. (2017). Innovative methods for data analysis in analytical chemistry using Bayesian statistics and machine learning. [Thesis, fully internal, Universiteit van Amsterdam].
Lopatka, M., Sampat, A. A., Jonkers, S., Adutwum, L. A., Mol, H. G. J., van der Weg, G., Harynuk, J. J., Schoenmakers, P. J., van Asten, A., Sjerps, M. J., & Vivó-Truyols, G. (2017). Local Ion Signatures (LIS) for the examination of comprehensive two-dimensional gas chromatography applied to fire debris analysis. Forensic Chemistry, 3, 1-13. https://doi.org/10.1016/j.forc.2016.10.003
Astefanei, A., Dapic, I., & Camenzuli, M. (2017). Different Stationary Phase Selectivities and Morphologies for Intact Protein Separations. Chromatographia, 80(5), 665–687. https://doi.org/10.1007/s10337-016-3168-z
van Adrichem, F., & van Bommel, M. (2017). Retouching without Touching: Creating the illusion of recoloured furniture through light projection. In M. Vasques Dias (Ed.), Material Imitation and Imitation Materials in Furniture and Conservation: Thirteenth Symposium on Wood and Furniture Conservation (pp. 33-47). (Proceeedings; Vol. 13). Stichting Ebenist. http://www.ebenist.org/wp-content/uploads/2017/11/Adrichem_LR.pdf
Barcaru, A., Mol, H. G. J., Tienstra, M., & Vivó-Truyols, G. (2017). Bayesian approach to peak deconvolution and library search for high resolution gas chromatography-Mass spectrometry. Analytica Chimica Acta, 983, 76-90. https://doi.org/10.1016/j.aca.2017.06.044
Barcaru, A. (2017). New methods for modelling and data analysis in gas chromatography: a Bayesian view. [Thesis, fully internal, Universiteit van Amsterdam].
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
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

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