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Application and Progress of Chemometrics in Voltammetric Biosensing
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The voltammetric electrochemical sensing method combined with biosensors and multi-sensor systems can quickly, accurately, and reliably analyze the concentration of the main analyte and the overall characteristics of complex samples. Simultaneously, the high-dimensional voltammogram contains the rich electrochemical features of the detected substances. Chemometric methods are important tools for mining valuable information from voltammetric data. Chemometrics can aid voltammetric biosensor calibration and multi-element detection in complex matrix conditions. This review introduces the voltammetric analysis techniques commonly used in the research of voltammetric biosensor and electronic tongues. Then, the research on optimizing voltammetric biosensor results using classical chemometrics is summarized. At the same time, the incorporation of machine learning and deep learning has brought new opportunities to further improve the detection performance of biosensors in complex samples. Finally, smartphones connected with miniaturized voltammetric biosensors and chemometric methods provide a high-quality portable analysis platform that shows great potential in point-of-care testing.
Title: Application and Progress of Chemometrics in Voltammetric Biosensing
Description:
The voltammetric electrochemical sensing method combined with biosensors and multi-sensor systems can quickly, accurately, and reliably analyze the concentration of the main analyte and the overall characteristics of complex samples.
Simultaneously, the high-dimensional voltammogram contains the rich electrochemical features of the detected substances.
Chemometric methods are important tools for mining valuable information from voltammetric data.
Chemometrics can aid voltammetric biosensor calibration and multi-element detection in complex matrix conditions.
This review introduces the voltammetric analysis techniques commonly used in the research of voltammetric biosensor and electronic tongues.
Then, the research on optimizing voltammetric biosensor results using classical chemometrics is summarized.
At the same time, the incorporation of machine learning and deep learning has brought new opportunities to further improve the detection performance of biosensors in complex samples.
Finally, smartphones connected with miniaturized voltammetric biosensors and chemometric methods provide a high-quality portable analysis platform that shows great potential in point-of-care testing.
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