Selective electrochemical oxidation of organic compounds in a mass transfer-enhanced electrochemical flow reactor (esingle bondNETmix)
Loading...
Identifiers
Publication date
Advisors
Tutors
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
esingle bondNETmix stands as an electrochemical flow reactor engineered to enhance mass transfer. This study aimed at assessing the performance of the esingle bondNETmix reactor in the realm of organic electrosynthesis. Specifically, the research focused on the selective electrochemical oxidation of 4-methoxybenzyl alcohol (4-MBA) to p-anisaldehyde (PAA) using a bare fluorine-doped tin oxide (FTO) anode. The efficiency of the process was assessed for distinct current densities (j), Reynolds numbers (Re), supporting electrolyte contents, and substrate initial contents. The esingle bondNETmix reactor was extensively compared to a commercial electrochemical flow reactor (MicroFlowCell from ElectroCell, Denmark). esingle bondNETmix facilitated the use of a broader range of j (0.8–2.0 mA cm−2 versus 0.8 mA cm−2) together with smaller Re (≥190 versus >1750), supporting electrolyte contents (≥1 mM versus ≥30 mM), and substrate initial contents (≥2.0 mM versus ≥3.0 mM) with no loss of PAA production or energy consumption. These findings underscore a remarkable suitability of esingle bondNETmix as a reactor for organic electrosynthesis.
Description
Bibliographic citation
C.H. Rosa et al. Selective electrochemical oxidation of organic compounds in a mass transfer-enhanced electrochemical flow reactor (esingle bondNETmix). Journal of Environmental Chemical Engineering Volume 12(2024) 113424
Relation
Has part
Has version
Is based on
Is part of
Is referenced by
Is version of
Requires
Publisher version
https://doi.org/10.1016/j.jece.2024.113424Sponsors
This work was financially supported by projects EXPL/EAM-AMB/0216/2021 (LigTech; http://doi.org/10.54499/EXPL/EAM-AMB/0216/2021), UIDB/50020/2020 and UIDP/50020/2020 (LSRE-LCM), and LA/P/0045/2020 (ALiCE), funded by national funds through FCT/MCTES (PIDDAC); project PID2020–117686RB-C32, funded by the Spanish State Research Agency - AEI/10.13039/501100011033; and project ED431C 2021/06, funded by Consellería de Economía e Industria, Xunta de Galicia. Clarissa H. Rosa acknowledges her PhD scholarship supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (200860/2018–6). Daniela F.S. Morais acknowledges her PhD scholarship supported by FCT (SFRH/BD/146476/2019; https://doi.org/10.54499/SFRH/BD/146476/2019). Carlos J. Tavares acknowledges the funding from FCT through the Strategic Funds project reference UIDB/04650/2020–2023. Vítor J.P. Vilar and Francisca C. Moreira acknowledge the FCT Individual Call to Scientific Employment Stimulus 2017 (CEECIND/01317/2017 and CEECIND/02196/2017, respectively).
Rights
©2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license








