José Pedro Salgado de Castro Aniceto

Researcher

Contact

Department

  • Chemistry
  • 29.1.5

Research

Links

Publications

Design and optimization of a simulated moving bed unit for the separation of betulinic, oleanolic and ursolic acids mixtures: Experimental and modeling studies

Aniceto, JPS; Azenha, IS; Domingues, FMJ; Mendes, A; Silva, CM
2018, SEPARATION AND PURIFICATION TECHNOLOGY, 192, 401-411.

General optimization strategy of simulated moving bed units through design of experiments and response surface methodologies

Aniceto, JPS; Cardoso, SP; Silva, CM
2016, COMPUTERS & CHEMICAL ENGINEERING, 90, 161-170.

Maxwell-Stefan based modelling of ion exchange systems containing common species (Cd2+, Na+) and distinct sorbents (ETS-4, ETS-10)

Lito, PF; Aniceto, JPS; Silva, CM
2015, INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 12, 1, 183-192.

Simulated Moving Bed Strategies and Designs: From Established Systems to the Latest Developments

Aniceto, JPS; Silva, CM
2015, SEPARATION AND PURIFICATION REVIEWS, 44, 1, 41-73.

Modelling ion exchange kinetics in zeolyte-type materials using Maxwell-Stefan approach

Lito, PF; Aniceto, JPS; Silva, CM
2014, DESALINATION AND WATER TREATMENT, 52, 28-30, 5333-5342.

Modeling ion exchange equilibrium of ternary systems using neural networks

Aniceto, JPS; Fernandes, DLA; Silva, CM
2013, DESALINATION, 309, 267-274.

Biomass-Based Polyols through Oxypropylation Reaction

Aniceto, JPS; Portugal, I; Silva, CM
2012, CHEMSUSCHEM, 5, 8, 1358-1368.

Removal of Anionic Pollutants from Waters and Wastewaters and Materials Perspective for Their Selective Sorption

Lito, PF; Aniceto, JPS; Silva, CM
2012, WATER AIR AND SOIL POLLUTION, 223, 9, 6133-6155.

Modeling ion exchange equilibrium: Analysis of exchanger phase non-ideality

Aniceto, JPS; Cardoso, SP; Faria, TL; Lito, PF; Silva, CM
2012, DESALINATION, 290, 43-53.

Modeling Sorbent Phase Nonideality for the Accurate Prediction of Multicomponent Ion Exchange Equilibrium with the Homogeneous Mass Action Law

Aniceto, JPS; Lito, PF; Silva, CM
2012, JOURNAL OF CHEMICAL AND ENGINEERING DATA, 57, 6, 1766-1778.

Preparative Chromatography: Batch and Continuous

In Alain Berthod (Eds.), Analytical Separation Science
José P.S. Aniceto, Carlos M. Silva
2015, Wiley-VCH.
ISBN: 9783527678129

Recent simulated moving bed strategies for enhanced separations

Recent Research Developments in Chemical Engineering, Vol. 7
José P.S. Aniceto and Carlos M. Silva
2014, Kerala, TRANSWORLD RESEARCH NETWORK.
ISBN: 978-81-7895-593-3

Separation of triterpenic acids by simulated moving bed chromatography

José P.S. Aniceto
2018, supervised by Carlos M. Silva.

We use cookies for marketing activities and to offer you a better experience. By clicking “Accept Cookies” you agree with our cookie policy. Read about how we use cookies by clicking "Privacy and Cookie Policy".


Privacy and Cookie Policy

Personal data

CICECO-Aveiro Institute of Materials respects your privacy, ensuring confidentiality of personal data you share with the institution through this way, not collecting any personal information about you without your consent, under the terms required by General Data Protection Regulations (RGPD).

The data collected in forms are intended exclusively for processing user requests and will not be used for any other purpose, always safeguarding their confidentiality, under the terms of the protection conferred by the aforementioned regulation.

The collection and processing of data is the responsibility of CICECO and its storage is properly protected, only authorized CICECO employees can access the information within the scope of their functions, always being clear in the respective collection forms the purposes for which they are intended. The remaining issues to be considered in this matter will be handled by the University of Aveiro in accordance with the regime established by the GDPR.

Cookies policy

Cookies are small files with alphanumeric information that are stored on your computer's hard drive by your browser and are intended to improve the user experience and enhance website navigation.

Collection and use of technical information

The cookies used on CICECO are anonymous, and no information about our users that allows their personal identification is stored in them.

The technical information recorded consists of:

  • iP (Internet Protocol) address of the visitor;
  • the type of internet browser used by the website visitor and the respective operating system used;
  • the date and time of the consultation;
  • the pages visited on the site and the documents downloaded
  • The technical information collected is used for statistical purposes only.

Cookies used

Session cookies

These cookies are used to record user preferences, such as the language in which websites are displayed or to maintain authenticated user sessions, and are automatically deleted when the browser is closed.

Persistent cookies

These cookies store information that is needed between sessions. For example, a persistent cookie is set to record that you have been made aware of the cookie policy so that the message regarding this policy is not shown again the next time you visit the website. This cookie remains on the computer until it reaches its expiry date or is deleted by the user.

Data protection

The present privacy policy covers the Information System of the University of Aveiro (SIUA), governed by the General Data Protection Regulations (RGPD) Regulation (EU) No. 2016/679, of April 27th, 2016.

Data Protection Officer

The University of Aveiro has a Data Protection Officer (DPO), who ensures compliance of the processing of personal data with the legislation in force, and is available through the following email address epd@ua.pt.

Close