Bio

José Pedro Aniceto is a Researcher at EgiChem focusing on Simulated moving bed, supercritical fluids, and machine learning.

Articles

A. Shaikh-Ibrahim, N. Curci, F. De Lise, O. Sacco, M. Di Fenza, S. Castaldi, R. Isticato, A. Oliveira, J.P.S. Aniceto, C.M. Silva, L.S. Serafim, K.B.R.M. Krogh, M. Moracci, B. Cobucci-Ponzano. Carbohydrate conversion in spent coffee grounds: pretreatment strategies and novel enzymatic cocktail to produce value-added saccharides and prebiotic mannooligosaccharides, Biotechnology for Biofuels and Bioproducts 18 (2025) 2.

A.Z.Costa, J.P.S. Aniceto, M. Lopes. Low-Cost Sensor Network for Air Quality Assessment in Cabo Verde Islands, Sensors 24 (2024) 7656.

A.F.F. Dias, I. Portugal, J.P.S. Aniceto, C.M. Silva. Machine Learning model for the prediction of self-diffusion coefficients in liquids, compressed gases and supercritical fluids, Chemical Engineering Journal 495 (2024) 153274.

D. Evtuguin, J.P.S. Aniceto, R. Marques, I. Portugal, C.M. Silva, L.S. Serafim, A.M.R.B. Xavier. Obtaining Value from Wine Wastes: Paving the Way for Sustainable Development, Fermentation 10 (2024) 24.

J.P.S. Aniceto, B. Zêzere, C.M. Silva. Prediction of diffusion coefficients in aqueous systems by machine learning models, Journal of Molecular Liquids 405 (2024) 125009.

J.P.S. Aniceto, V.H. Rodrigues, I. Portugal, C.M. Silva. Valorization of Tomato Residues by Supercritical Fluid Extraction, Processes 10 (2022) 28.

J.P.S. Aniceto, B. Zêzere, C.M. Silva. Machine learning models for the prediction of diffusivities in supercritical CO2 systems, Journal of Molecular Liquids 326 (2021) 115281.

J.P.S. Aniceto, B. Zêzere, C.M. Silva. Predictive Models for the Binary Diffusion Coefficient at Infinite Dilution in Polar and Nonpolar Fluids, Materials 14 (2021) 542.

I.S. Azenha, J.P.S. Aniceto, D.P. Ribeiro, A. Mendes, C.M. Silva. Reversed phase chromatographic separation and downstream precipitation of lupane- and oleanane-type triterpenoids: experiments and modeling based on the method of moments, Separation and Purification Technology 260 (2021) 118208.

J.P.S. Aniceto, I.S. Azenha, A. Mendes, C.M. Silva. Simulated Moving Bed Separation of Betulinic and Ursolic Acids Based on Computer Simulations using Data from the Method of Moments, International Journal of Green Technology 7 (2021) 7-15.

I.S. Azenha, J.P.S. Aniceto, S.P. Sequeira, A. Mendes, C.M. Silva. Chromatographic separation of betulinic and oleanolic acids, Separation and Purification Technology 235 (2020) 116129.

I.S. Azenha, J.P.S. Aniceto, C.A. Santos, A. Mendes, C.M. Silva. Enhanced separation of bioactive triterpenic acids with a triacontylsilyl silica gel adsorbent: from impulse and breakthrough experiments to the design of a simulated moving bed unit, Separation and Purification Technology 248 (2020) 116991.

J.P.S. Aniceto, I.S. Azenha, F.M.J. Domingues, A. Mendes, C.M. Silva. Design and optimization of a simulated moving bed unit for the separation of betulinic, oleanolic and ursolic acids mixtures: Experimental and modeling studies, Separation and Purification Technology 192 (2018) 401-411.

J.P.S. Aniceto, S.P. Cardoso, C.M. Silva. General optimization strategy of simulated moving bed units through design of experiments and response surface methodologies, Computers and Chemical Engineering 90 (2016) 161-170.

P.F. Lito, J.P.S. Aniceto, C.M. Silva. Maxwell–Stefan based modelling of ion exchange systems containing common species (Cd2+, Na+) and distinct sorbents (ETS-4, ETS-10), International Journal of Environmental Science and Technology 12 (2015) 183-192.

P.F. Lito, J.P.S. Aniceto, C.M. Silva. Modelling ion exchange kinetics in zeolyte-type materials using Maxwell-Stefan approach, Desalination and Water Treatment 52 (2014) 5333-5342.

J.P.S. Aniceto, C.M. Silva. Simulated moving bed strategies and designs: From established systems to the latest developments, Separation and Purification Reviews 44 (2014) 41-73.

J.P.S. Aniceto, D.L.A. Fernandes, C.M. Silva. Modeling ion exchange equilibrium of ternary systems using neural networks, Desalination 309 (2013) 267-274.

J.P.S. Aniceto, I. Portugal, C.M. Silva. Biomass-based polyols through oxypropylation reaction, ChemSusChem 5 (2012) 1358-1368.

J.P.S. Aniceto, S.P. Cardoso, T.L. Faria, P.F. Lito, C.M. Silva. Modeling ion exchange equilibrium: Analysis of exchanger phase non-ideality, Desalination 290 (2012) 43-53.

J.P.S. Aniceto, P.F. Lito, C.M. Silva. Modeling sorbent phase nonideality for the accurate prediction of multicomponent ion exchange equilibrium with the homogeneous mass action law, Journal of Chemical and Engineering Data 57 (2012) 1766-1778.

P.F. Lito, J.P.S. Aniceto, C.M. Silva. Removal of anionic pollutants from waters and wastewaters and materials perspective for their selective sorption, Water, Air, and Soil Pollution 223 (2012) 6133-6155.

Posters

B.S. Monteiro, J. Fuentes, I.S. Azenha, J.P.S. Aniceto, C.M. Silva. Isolation of triterpenic acids by Simulated Moving Bed chromatography, HPLC 2023, Duesseldorf, Germany, June 18-22, 2023.

J. Fuentes, B.S. Monteiro, I. Portugal, J.P.S. Aniceto, C.M. Silva. Separation of fatty acids ethyl esters using HPLC and SMB: Experimental and modelling approach, HPLC 2023, Duesseldorf, Germany, June 18-22, 2023.

I.S. Azenha, J.P.S. Aniceto, D.P. Ribeiro, A. Mendes, C.M. Silva. Separation of betulinic and oleanolic acids by analytical and preparative liquid chromatography: experiments and modeling, 12º Encontro Nacional de Cromatografia, Aveiro, 6 - 8 December, 2022.

J.P.S. Aniceto, B. Zêzere, C.M. Silva. Prediction of diffusivities in supercritical carbon dioxide using machine learning models, EMSF2021, Bordeaux, France, May 3-6, 2021.

J.P.S. Aniceto, B. Zêzere, C.M. Silva. Prediction of diffusivities in supercritical carbon dioxide using machine learning models, EIFS2020, Santiago de Compostela, Spain, , 2020.

I.S. Azenha, J.P.S. Aniceto, A. Mendes, C.M. Silva. Improving the simulated moving bed separation of oleanolic and ursolic acids with a C30 stationary phase, 12th European Congress of Chemical Engineering and 5th European Congress of Applied Biotechnology, Florence, Italy, 15-19 September,, 2019.

I.S. Azenha, J.P.S. Aniceto, A. Mendes, C.M. Silva. Optimizing the separation of oleanolic and ursolic acids by simulated moving bed chromatography using a C30 adsorbent, 2019 AIChE Annual Meeting, Orlando, USA, November 10-15, 2019, 2019.

J.P.S. Aniceto, A. Rudnitskaya, C.M. Silva. Molecularly Imprinted Polymers for the chromatographic separation of triterpenic acids isomers, ChemPor 2018, Aveiro, 9 – 4 October, 2018.

J.P.S. Aniceto, I.S. Azenha, A. Mendes, C.M. Silva. Study of tritperpenic acids isolation by simulated moving bed at two distinct scales, ChemPor 2018, Aveiro, 8 – 4 October, 2018.

I.S. Azenha, J.P.S. Aniceto, S. Sequeira, A. Mendes, C.M. Silva. The separation of betulinic and oleanolic acids by simulated moving bed chromatography: Experimental and modeling studies, 6th Portuguese Young Chemists Meeting, Setúbal, 16 – 18 May, 2018.

I.S. Azenha, J.P.S. Aniceto, F.M.J. Domingues, A. Mendes, C.M. Silva. Design and optimization of a simulated moving bed unit for the separation of betulinic, oleanolic and ursolic acids mixtures: experimental and modeling studies, 10º Encontro Nacional de Cromatografia, Bragança, 4-6 December, 2017.

J.P.S. Aniceto, C.M. Silva. Separation of isomers by simulated moving bed (SMB) chromatography,  Researcher Day - University of Aveiro, Aveiro, 4 June, 2014.

J.P.S. Aniceto, S.P. Cardoso, C.M. Silva. High value triterpenic acids from Eucalyptus barks: design and construction of a Simulated Moving Bed (SMB) equipment for the isolation of pure compounds, FuBio Seminar 2013, Helsinki, 27 August, 2013.

Presentations

C.M. Silva, J.P.S. Aniceto. Invited Talk: Advancements in Supercritical Fluid Extraction: Research-Based Strategies for Effective Scale-Up and Design, XIII Iberoamerican Conference on Phase Equilibria and Fluid Pro- perties for Process Design (XIII EQUIFASE), Évora, Portugal, September 9–12, 2024.

A.F. Silva, J.P.S. Aniceto, I. Portugal, C.M. Silva. Adsorption of cork volatile organic compounds over different types of porous materials, Research Summit 2023, Aveiro, 12th - 14th July, 2023.

J.P.S. Aniceto, B. Zêzere, C.M. Silva. Machine Learning models for the prediction of diffusion coefficients in SC-CO2, 19th European Meeting on Supercritical Fluids, Budapest, Hungary, 21-24 May, 2023.

J.P.S. Aniceto, B. Zêzere, C.M. Silva. Prediction of diffusion coefficients in supercritical carbon dioxide using machine learning models, Research Summit 2023, Aveiro, 12th - 14th July, 2023.

J.P.S. Aniceto, B. Zêzere, C.M. Silva. Machine learning models for the prediction of diffusivities in supercritical CO2 systems, 2nd Iberian Meeting on Supercritical Fluids (EIFS2022), Coimbra, Portugal, February 28th - March 2nd, 2022.

B. Soares, J.P.S. Aniceto, C.S.R. Freire, I. Brandão, C.M. Silva, I. Portugal, Carlos P. Neto. Valorization of Coffee grounds by oxypropylation, 11th International Chemical and Biological Engineering Conference, Lisbon, September 5-7, 2011.

Thesis

José P. S. Aniceto. Separation of triterpenic acids by simulated moving bed chromatography, PhD Thesis, Coordinator(s): Coordinator: Carlos M. Silva, University of Aveiro, 2018.