eNRTL modelling and partition of phenolics in the ATPSs {ethyl lactate (1) + potassium sodium tartrate or disodium succinate (2) + water (3)} at 298.2 K and 0.1 MPa

• Type: Article in International Scientific Journal
• Date: 2024

Authors

Rebelo, S (Author) Other; Velho, P (Author) Other; Maria Eugénia Macedo (Author) FEUP

Journal

Title: Fluid Phase Equilibria

Vol. 582

ISSN: 0378-3812

Publisher: Elsevier

Indexing

ISI Web of Knowledge

ISI Web of Science

Scopus - 0 Citations

Scientific classification

CORDIS: Technological sciences

FOS: Engineering and technology

Associated Projects

LA LSRE-LCM - Financiamento Plurianual 2020-2023 para a Unidade LA LSRE-LCM Laboratório de Processos de Separação e Reacção - Laboratório de Catálise e Materiais

Other information

Authenticus ID: P-010-8X1

DOI: 10.1016/j.fluid.2024.114087

Abstract (EN): Ferulic (FA) and gallic (GA) acids stand as crucial antioxidants in the cosmetics, food and pharmaceutical industries, playing a key role in the prevention of diabetes, cancer and cardiovascular diseases. The extraction of these antioxidants from by-products of the food industry, such as sweet corn residues, contributes to a more circular economy, reducing the environmental footprint associated with their extraction processes. In this work, these phenolic compounds were successfully extracted in the Aqueous Two-Phase Systems (ATPSs) {Ethyl lactate (1) + Potassium Sodium Tartrate or Disodium Succinate (2) + Water (3)} at 298.2 K and 0.1 MPa. In general, the ATPSs achieved partition coefficients (K) larger than unity, indicating a preference towards the top phase (ethyl lactate-rich), hinting a successful extraction of the phenolic compounds. Moreover, larger tie-lines generally led to higher partition coefficients and extraction efficiencies (E), promoting solute migration to the top phase. The most promising results referred to the partition of ferulic acid in Potassium Sodium Tartrate, with K=12±3 and E=93.3±0.4% for the longest tie-line (TLL=70.73% in mass). Finally, tie-line compositions were effectively described using a generalised version of the electrolyte non-random two-liquid (eNRTL) model for double salts, presenting low standard deviations (¿x) from experimental data while considering the non-randomness factor (¿ij) equal to 0.2 (¿x<8.47·10¿3) and 0.3 (¿x<4.78·10¿3). © 2024 The Authors

Language: English

Type (Professor's evaluation): Scientific