ArticleACS sustainable chemistry & engineering2025
Computer Vision Helps Experimentally Monitor Mixing Effects in Deep Eutectic Solvents.
Article in ACS sustainable chemistry & engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- When chemistry is too colourful: gamut clipping in 8-bit sRGB risks misinterpretation of camera-based chemical analysis.Digital discovery · 2026Article
- Computer Vision Enables Monitoring and Kinetic Analysis of Structurally Diverse Carbon Monoxide Surrogates.Angewandte Chemie (International ed. in English) · 2026Article
- A Viscous DES-AAV-Foxo1 Delivery System With High Transfection Efficiency for the Treatment of Corneal Endothelial Dysfunction by Restoring Mitochondria-ER Contacts.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- From Eyes to Cameras to Kinetics: Computer Vision for Chemical Process Monitoring.Accounts of chemical research · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deep eutectic solvents (DESs) offer promising sustainable alternatives to petroleum-derived solvents, yet their high viscosities present significant mixing challenges that can impact synthetic outcomes. Here, we demonstrate the application of computer vision as a quantitative, non-invasive tool for monitoring and optimizing mixing in DESs. Using
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.