Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Idelfonso B. R. Nogueira (Author) FEUP; Rui P. V. Faria (Author) FEUP; Reiner Requião (Author) Other; Hannu Koivisto (Author) Other; Márcio A. F. Martins (Author) Other; Alírio E. Rodrigues (Author) FEUP; José M. Loureiro (Author) FEUP; Ana M. Ribeiro (Author) FEUP

Journal

Title: Computers and Chemical Engineering

Vol. 119

Pages: 371-382

ISSN: 0098-1354

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 2 Citations

ISI Web of Science

Scopus - 6 Citations

INSPEC

Scientific classification

CORDIS: Technological sciences > Engineering > Chemical engineering

FOS: Engineering and technology > Chemical engineering

Associated Projects

LSRE-LCM - Laboratório de Processos de Separação e Reação - Laboratório de Catálise e Materiais

Other information

Authenticus ID: P-00P-PYT

DOI: 10.1016/j.compchemeng.2018.09.020

Abstract (EN): The n-Propyl Propionate (ProPro) is a compound that has several possible industrial applications. However, the current production route of this component presents several problems, such as the downstream purification. In this way, chromatographic separation could be an alternative solution to the downstream purification. In this work experimental studies of the ProPro reaction system separation in a chromatographic fixed bed unit packed with Amberlyst 46 were performed. The adsorption equilibrium isotherms and the corresponding Langmuir model parameters were determined. A phenomenological model to represent the process was developed and validated through the experimental data. Meanwhile, it is proposed the characterization of the uncertainties of all steps and its extension to the model prediction, which allowed to estimate the model parameters with a reduced number of experiments, when compared with other reports in the literature; nevertheless, the final results lead to a statistically more reliable model.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12