Smart Stirrer Detects Color, Conductivity, Viscosity During Chemical Reactions

Miniaturized computer systems and wireless technology are offering scientists new ways to keep tabs on reactions without the need for larger, cumbersome equipment.

In a proof-of-concept study in ACS Sensors, researchers describe an inexpensive new device that functions like a conventional magnetic stir bar, but that can automatically measure and transmit information on a solution's color, viscosity and a variety of other attributes to a smart phone or computer.

Automatic, remote data collection can make chemical processes more reliable, as well as less labor intensive and safer. This technology has begun to make inroads into chemistry labs, but options for scientists looking to remotely mix their reactions and monitor several parameters while those reactions occur remain quite scarce, limited and expensive.

Nikolay Cherkasov, Dmitry Isakov and colleagues wanted to develop a device capable of simultaneously detecting numerous parameters using freely available open source software and easy-to-get, inexpensive components.

The team made two versions of the Smart Stirrer based on different integrated circuits, one a microcontroller and the other an all-in-one system on a chip. To customize the Smart Stirrer for different applications, the team used a modular design, in which sensors can be added as needed.

In experiments, they confirmed they could detect color, electrical conductivity and, with careful calibration, viscosity. Additional low-cost commercially available sensors, as well as custom ones, could be used to adapt the device for many new applications, the researchers say.

They note one limitation: the narrow range of temperatures within which the Smart Stirrer can function, a restriction that they say is inherent to most digital electronics. Ultimately, they predict that this approach could provide a platform for digitizing chemistry in research labs and industrial manufacturing.

The authors acknowledge funding from the Engineering and Physical Sciences Research Council Dial-a-Molecule Network, the Institution of Chemical Engineers Andrew Fellowship and the Warwick Manufacturing Group Summer Internship Programme.

The abstract that accompanies this paper can be viewed here.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.