2018
DOI: 10.1002/anie.201803878
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Prototyping Instruments for the Chemical Laboratory Using Inexpensive Electronic Modules

Abstract: Open-source electronics and programming can augment chemical and biomedical research. Currently, chemists can choose from a broad range of low-cost universal electronic modules (microcontroller boards and single-board computers) and use them to assemble working prototypes of scientific tools to address specific experimental problems and to support daily research work. The learning time can be as short as a few hours, and the required budget is often as low as 50 USD. Prototyping instruments using low-cost elec… Show more

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Cited by 48 publications
(40 citation statements)
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“…We have also not been alone in developing these microprocessor-enhanced procedures and here highlight other work that further exemplifies the power of the methods. 18,19 A Tutored Discourse This article has been written to act as an introduction for chemists to the use of microcontrollers and computers for synthesis applications. It assumes no prior knowledge on the part of readers in the area of computer programming.…”
Section: Applicationsmentioning
confidence: 99%
“…We have also not been alone in developing these microprocessor-enhanced procedures and here highlight other work that further exemplifies the power of the methods. 18,19 A Tutored Discourse This article has been written to act as an introduction for chemists to the use of microcontrollers and computers for synthesis applications. It assumes no prior knowledge on the part of readers in the area of computer programming.…”
Section: Applicationsmentioning
confidence: 99%
“…Further, with continued modern developments in inexpensive microcontrollers and computers, such as the Raspberry Pi, a standardization of reaction protocols can be established through the use of an automated control system. Such a process would integrate with the future Internet of Chemical Things, potentially improving reproducibility and data collection for experimentalists, feeding deep‐learning algorithms of the future.…”
Section: Figurementioning
confidence: 99%
“…Currently, RPi is being widely used in all kinds of research that looks for solutions in areas as diverse as: health [2,3], industry [4], automotive sector [5], building [6] and domotics [7], education [8] or chemistry [9], just to name a few.…”
Section: Introductionmentioning
confidence: 99%