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Author |
Baetens, D.; Schoofs, K.; Somers, N.; Denys, S. |
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Title |
A brief review on Multiphysics modelling of the various physical and chemical phenomena occurring in active oxidation reactors |
Type |
A1 Journal article |
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Year |
2023 |
Publication |
Current opinion in green and sustainable chemistry |
Abbreviated Journal |
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Volume  |
40 |
Issue |
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Pages |
100764-100766 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
Heterogeneous photocatalysis can be used as an advanced oxidation technology frequently studied for application in photoreactors for air and water treatment. Extensive experimental investigation entails high costs and is also time consuming. Multiphysics modelling, a relatively new numerical method, provides a cost-effective and valuable alternative. By reconstructing the reactor geometry in dedicated software, meshing it and solving for occurring physical and chemical phenomena, Multiphysics models can be used to evaluate the performance of different reactor designs, increase insight into the occurring phenomena and study the influence of operational parameters on reactor performance. Finally, Multiphysics models are also developed for various applications like optimising the operational parameters, creating the ideal reactor design or scaling up a lab-scale reactor to a realistic prototype. |
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Wos |
000947344000001 |
Publication Date |
2023-02-02 |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2452-2236 |
ISBN |
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Additional Links |
UA library record; WoS full record |
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Impact Factor |
9.3 |
Times cited |
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Open Access |
OpenAccess |
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Notes |
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Approved |
Most recent IF: 9.3; 2023 IF: NA |
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Call Number |
UA @ admin @ c:irua:195208 |
Serial |
7278 |
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Author |
de Jong, M.; Van Echelpoel, R.; Langley, A.R.; Eliaerts, J.; van den Berg, J.; De Wilde, M.; Somers, N.; Samyn, N.; De Wael, K. |
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Title |
Real-time electrochemical screening of cocaine in lab and field settings with automatic result generation |
Type |
A1 Journal article |
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Year |
2022 |
Publication |
Drug testing and analysis |
Abbreviated Journal |
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Volume |
14 |
Issue |
8 |
Pages |
1471-1481 |
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Keywords |
A1 Journal article; Pharmacology. Therapy; Engineering sciences. Technology; Antwerp Electrochemical and Analytical Sciences Lab (A-Sense Lab) |
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Abstract |
This work presents the results of a novel application for the fast on-site screening of cocaine and its main cutting agents in suspicious and confiscated samples. The methodology behind the novel application consists of portable electrochemical detection coupled with a peak-recognition algorithm for automated result output generation, validated both in laboratory and field settings. Currently used field tests, predominantly colorimetric tests, are lacking accuracy, often giving false positive or negative results. This presses the need for alternative approaches to field testing. By combining portable electrochemical approaches with peak-recognition algorithms, an accuracy of 98.4% concerning the detection of cocaine was achieved on a set of 374 powder samples. In addition, the approach was tested on multiple 'smuggled', colored cocaine powders and cocaine mixtures in solid and liquid states, typically in matrices such as charcoal, syrup and clothing. Despite these attempts to hide cocaine, our approach succeeded in detecting cocaine during on-site screening scenarios. This feature presents an advantage over colorimetric and optical detection techniques, which can fail with colored sample matrices. This enhanced accuracy on smuggled samples will lead to increased efficiency in confiscation procedures in the field, thus significantly reducing societal economic and safety concerns and highlighting the potential for electrochemical approaches in on-the-spot identification of drugs of abuse. |
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Wos |
000790965700001 |
Publication Date |
2022-04-23 |
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Edition |
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ISSN |
1942-7603; 1942-7611 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
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Times cited |
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Open Access |
OpenAccess |
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Notes |
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Approved |
no |
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Call Number |
UA @ admin @ c:irua:187767 |
Serial |
8921 |
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