Medicinal chemistry meets nanotechnology: machine learning assisted colorimetric sensing platform for oxalic acid based on drug mediated copper oxide nanoparticles

January 1, 2026RSC AdvancesOpen Access

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Key Points

This research aims to develop a colorimetric sensing platform for detecting oxalic acid using drug-mediated copper oxide nanoparticles.
Synthesis of copper oxide nanoparticles mediated by paracetamol.
Implementation of machine learning algorithms for enhanced sensing.
Testing the sensitivity of the nanoparticles in detecting oxalic acid.
Copper oxide nanoparticles successfully detected oxalic acid at low concentrations.
Machine learning improved the accuracy of the sensing platform.

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The study demonstrates a machine learning-assisted method for sensing oxalic acid, indicating potential applications in kidney stone detection.

Paracetamol drug-mediated synthesis of CuO NPs for oxalic acid sensing in kidney stone patients.

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Jan et al. (2026) studied this question.

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