Liquid Mixing on Falling Films: Marker-Free, Molecule-Sensitive 3D Mapping Using Raman Imaging.

Raman spectroscopy falling film flow characteristics marker free mixing molecule sensitive non-contact measurement

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
23 Jun 2023
Historique:
received: 06 06 2023
revised: 15 06 2023
accepted: 20 06 2023
medline: 17 7 2023
pubmed: 14 7 2023
entrez: 14 7 2023
Statut: epublish

Résumé

Following up on a proof of concept, this publication presents a new method for mixing mapping on falling liquid films. On falling liquid films, different surfaces, plain or structured, are common. Regarding mixing of different components, the surface has a significant effect on its capabilities and performance. The presented approach combines marker-free and molecule-sensitive measurements with cross-section mapping to emphasize the mixing capabilities of different surfaces. As an example of the mixing capabilities on falling films, the mixing of sodium sulfate with tap water is presented, followed by a comparison between a plain surface and a pillow plate. The method relies upon point-by-point Raman imaging with a custom-built high-working-distance, low-depth-of-focus probe. To compensate for the long-time measurements, the continuous plant is in its steady state, which means the local mixing state is constant, and the differences are based on the liquids' position on the falling film, not on time. Starting with two separate streams, the mixing progresses by falling down the surface. In conclusion, Raman imaging is capable of monitoring mixing without any film disturbance and provides detailed information on liquid flow in falling films.

Identifiants

pubmed: 37447696
pii: s23135846
doi: 10.3390/s23135846
pmc: PMC10346200
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Annu Rev Anal Chem (Palo Alto Calif). 2012;5:337-60
pubmed: 22524218
Micromachines (Basel). 2021 Aug 10;12(8):
pubmed: 34442562
Sensors (Basel). 2022 May 27;22(11):
pubmed: 35684704

Auteurs

Marcel Nachtmann (M)

Center for Mass Spectrometery and Optical Spectroscopy, Hochschule Mannheim University of Applied Sciences, 68163 Mannheim, Germany.

Daniel Feger (D)

Center for Mass Spectrometery and Optical Spectroscopy, Hochschule Mannheim University of Applied Sciences, 68163 Mannheim, Germany.

Felix Wühler (F)

Center for Mass Spectrometery and Optical Spectroscopy, Hochschule Mannheim University of Applied Sciences, 68163 Mannheim, Germany.

Matthias Rädle (M)

Center for Mass Spectrometery and Optical Spectroscopy, Hochschule Mannheim University of Applied Sciences, 68163 Mannheim, Germany.

Stephan Scholl (S)

Institute for Chemical and Thermal Process Engineering, Technische Universität Braunschweig, 38106 Brunswick, Germany.

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Classifications MeSH