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  4. Movable optical sensor for automatic detection and monitoring of liquid–liquid interfaces
 
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2025
Journal Article
Title

Movable optical sensor for automatic detection and monitoring of liquid–liquid interfaces

Abstract
Liquid–liquid extraction (LLE) is an essential operation in many laboratory experiments. However, most automatic LLE devices concentrate on detecting the liquid–liquid interface at one moment in the process, usually at separation, and pay little attention to the state of the liquids as they settle. In this paper, we present an LLE device with a moving optical sensor and light source that move along a vessel instead of the mixture moving relative to the sensor. Analyzing the patterns of light intensity with explainable automatic detection algorithms, the interface can be detected at different positions in the vessel with an error below 2 mm and monitored during the settling process. The device is tested using a mixture of clear oil and water and two extraction steps in a battery interface material synthesis process. Results show that the setup is able to detect interfaces at different positions along the vessel, even with changes in diameter. By monitoring the settling process, we also found that the biggest change in the signal detected occurs around the liquid–liquid interface position, and we also use this information to corroborate it. The recording of sensor measurements at different positions over time can be used to detect different properties of the liquids, which improves control over the process and could also alleviate reproducibility problems in areas of chemistry in which it is costly to repeat procedures.
Author(s)
Moreno, Rodrigo
IT-Universitetet i København
Jensen, Jonas Haugaard
IT-Universitetet i København
Bandesha, Shahbaz Tareq
Fraunhofer-Institut für Silicatforschung ISC  
Peters, Simone
Fraunhofer-Institut für Silicatforschung ISC  
Faíña, Andrés
IT-Universitetet i København
Støy, Kasper
IT-Universitetet i København
Journal
SLAS technology  
Project(s)
Battery Interface Genome - Materials Acceleration Platform  
Funder
European Commission  
Open Access
File(s)
Download (1.48 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1016/j.slast.2025.100335
10.24406/publica-5163
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Silicatforschung ISC  
Keyword(s)
  • Automatic detection

  • Explainable AI

  • Liquid–liquid extraction

  • Monitoring

  • Optical sensors

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