High-throughput robotic colourimetric titrations using computer vision

• Published in: Digital discovery Vol. 4; no. 5; pp. 1276 - 1283
• Main Authors: Li, Yuan, Dutta, Biplab, Yeow, Qi Jie, Clowes, Rob, Boott, Charlotte E, Cooper, Andrew I
• Format: Journal Article
• Language: English
• Published: 14.05.2025
• ISSN: 2635-098X; 2635-098X
• DOI: 10.1039/d4dd00334a

A high-throughput (HTE) robotic colourimetric titration workstation was developed using a commercial liquid handling robot (Opentrons OT-2) and computer vision-based analysis. While designed for multiple titration applications, hydrogen peroxide (H 2 O 2 ) determination serves as the most elaborate and well-characterized demonstration of its capabilities. Specifically, potassium permanganate (KMnO 4 ) redox titration was employed to quantify the hydrogen peroxide (H 2 O 2 ) concentration, leveraging the distinct colourimetric transition from colourless to pale pink at the titration endpoint. To monitor this colour change, a webcam was installed on the OT-2 pipette mount, capturing real-time titration progress. Image analysis was enhanced through VGG-augmented UNet for segmentation and the CIELab colour model, ensuring robust and reproducible detection of subtle colour changes. The sensitivity test of the computer vision-aided colour analysis was strongly correlated to UV-vis spectroscopy ( R 2 = 0.9996), with a good linear dynamic range at low concentrations. The analytical accuracy of this workstation was ±11.9% in a 95% confidence interval and its corresponding absolute concentration difference was only 0.50 mM. To validate its real-world applicability, this workstation was first deployed to monitor the photoproduction of H 2 O 2 over a conjugated polymer photocatalyst, DE7. In addition to performing redox titrations, we demonstrated that this workstation can also be used for acid-base titration and complexometric titration, capturing a diverse range of colour changes. A high-throughput (HTE) robotic colourimetric titration workstation was developed using a commercial liquid handling robot (Opentrons OT-2) and computer vision-based analysis.