Rodrigo Rocha de Oliveira

Rodrigo Rocha de Oliveira

Lecturer Professor

ORCID: 0000-0002-4309-5236
Scopus Author ID: 55481524900
Researcher ID: A-6351-2012
Knowledge area: Química Analítica

Contact Information
Department of Chemical Engineering and Analytical Chemistry
Martí i Franquès, 1, Barcelona
934034445
rodrigo.rocha(a)ub.edu

Academic Training

Doctor per la Universitat de Barcelona . Universitat de Barcelona . 20/01/2022 . (Ph.D.)
Erasmus Mundus Master in Quality in Analytical Laboratories . University of Bergen and Universitat de Barcelona . 2016 . (Official Master)
Bacharelado em Química do Petróleo . Universidade Federal do Rio Grande do Norte . 2014 . (Diploma / Degree / Activities)

Journal Publications (last 10 years)

Rocha de Oliveira, R.; de Juan, A. (2020). Design of Heterogeneity Indices for Blending Quality Assessment Based on Hyperspectral Images and Variographic Analysis. Analytical Chemistry, 92(24), pp. 15880 - 15889 . https://doi.org/10.1021/acs.analchem.0c03241 . ISSN: 0003-2700
de Oliveira, R.R.; Avila, C.; Bourne, R.; Muller, F.; de Juan, A. (2020). Data fusion strategies to combine sensor and multivariate model outputs for Multivariate Statistical Process Control. Analytical and Bioanalytical Chemistry, 412, pp. 2151 - 2163 . https://doi.org/10.1007/s00216-020-02404-2 . ISSN: 1618-2642
Rodrigo R. de Oliveira; Ricardo H. P. Pedroza; Adriano O. Sousa; Kássio M. G. Lima; Anna de Juan. (2017). Process modeling and control applied to real-time monitoring of distillation processes by near-infrared spectroscopy. Analytica Chimica Acta, 985, pp. 41 - 53 . Institutional Repository . ISSN: 0003-2670
de Oliveira, R.R.; de Lima, K.M.G.; Tauler, R.; de Juan, A. (2014). Application of correlation constrained multivariate curve resolution alternating least-squares methods for determination of compounds of interest in biodiesel blends using NIR and UV-visible spectroscopic data. Talanta, 125, pp. 233 - 241 . https://doi.org/10.1016/j.talanta.2014.02.073 . ISSN: 0039-9140
Sara P. Solsona, Sophie Füchtner, Rodrigo Rocha de Oliveira, Adrián Gomez-Sánchez, Stanislav Jelavic, Tobias Keplinger, Anna De Juan, Lisbeth G. Thygesen. (2020). Understanding the formation of heartwood in Larch using synchrotron infrared imaging combined with multivariate analysis and atomic force microscope infrared spectroscopy. Frontiers in Plant Science, 10 . Institutional Repository . ISSN: 1664-462X
Rocha de Oliveira, R.; de Juan, A. (2022). Synchronization-Free Multivariate Statistical Process Control for Online Monitoring of Batch Process Evolution. Frontiers in analytical Science . https://doi.org/10.3389/frans.2021.772844 . ISSN: 2673-9283
Rodrigo Rocha de Oliveira, Anna de Juan (2021). SWiVIA - Sliding Window Variographic Image Analysis for real-time assessment of heterogeneity indices in blending processes monitored with hyperspectral imaging. Analytica Chimica Acta, 1180, p. 338852 . https://doi.org/10.1016/j.aca.2021.338852 . ISSN: 0003-2670
Avila, C.; Mantzaridis, C.; Ferré, J.; de Oliveira, R.R.; Kantojärvi, U.; Rissanen, A.; Krassa, P.; de Juan, A.; Muller, F.; Hunter, T.N.; Bourne, R.A. (2021). Acid number, viscosity and end-point detection in a multiphase high temperature polymerisation process using an online miniaturised MEMS Fabry-Pérot Interferometer. Talanta, 224, p. 121735 . https://doi.org/10.1016/j.talanta.2020.121735 . ISSN: 0039-9140
López, J.; de Oliveira, R.R.; Reig, M.; Vecino, X.; Gibert, O.; de Juan, A.; Cortina, J. L. (2021). Acid recovery from copper metallurgical process streams polluted with arsenic by diffusion dialysis. Journal of Environmental Chemical Engineering, 9(1), p. 104692 . https://doi.org/10.1016/j.jece.2020.104692 . ISSN: 2213-2929
Claudio Avila; Joan Ferré; Rodrigo Rocha de Oliveira; Anna de Juan Capdevila; Wayne Sinclair; Faiz Mahdi; Ali Hassanpour; Timothy N. Hunter; Richard A. Bourne; and Frans L. Muller. (2020). Process monitoring of moisture content and mass transfer rate in a fluidised bed with a low cost inline MEMS NIR sensor. Pharmaceutical Research, 37 . Institutional Repository . ISSN: 0724-8741