Home » “Chemometrics and Machine Learning in Optimizing MIP-Based Electrochemical Sensor Design and Analysis: A Review”

“Chemometrics and Machine Learning in Optimizing MIP-Based Electrochemical Sensor Design and Analysis: A Review”

by satcit

https://pubmed.ncbi.nlm.nih.gov/38117322

This review discusses the use of chemometrics and machine learning in optimizing the design and analytical assessment of electrochemical sensors based on molecularly imprinted polymer (MIP) receptors.

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