Matthew O'Brien m.obrien@keele.ac.uk
An automated colorimetric inline titration of CO2 concentrations in solvent flow streams using a Teflon AF-2400 tube-in-tube device
O'Brien, M
Authors
Abstract
Abstract Using a number of open source software components (Python, SciPy, OpenCV, PySerial), together with an inexpensive webcam device, an automated inline colorimetric titration methodology was developed to measure CO2 concentration levels in organic flow streams emerging from a Teflon AF-2400 tube-in-tube device. A bisection search algorithm was used in combination with a curve-fitting approach to determine colorimetric titration endpoints. The results obtained are consistent with a simple ‘negative exponential’ model of permeation/dissolution.
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 29, 2017 |
Online Publication Date | Sep 15, 2017 |
Publication Date | Oct 1, 2017 |
Publicly Available Date | Mar 28, 2024 |
Journal | Journal of CO2 Utilization |
Print ISSN | 2212-9820 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 21 |
Pages | 580 - 588 |
DOI | https://doi.org/10.1016/j.jcou.2017.08.020 |
Keywords | CO2-utilization, Tube-in-tube, Teflon AF-2400, Gas–liquid, Flow-chemistry, Colorimetric titration, Open-source, Python, OpenCV, Computer-vision, Scipy, Webcam |
Publisher URL | http://doi.org/10.1016/j.jcou.2017.08.020 |
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
M_O'BRIEN_automated-colorimetric-titration-flow-CO2.pdf
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
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