Machine learning approach to optimization of parameters for impedance measurements of Quartz Crystal Microbalance to improve limit of detection

Machine learning approach to optimization of parameters for impedance measurements of Quartz Crystal Microbalance to improve limit of detection

Impedance spectroscopy allows real time monitoring of fundamental resonance frequency and harmonics of AT cut Quartz Crystal Microbalance (QCM) biosensors. Acquisition of accurate and high resolution spectroscopic data requires optimization of parameters, which is rarely performed as it requires an...

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Bibliographic Details
Main Authors: Ceyhun E. Kirimli, Elcim Elgun, Utku Unal
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:Biosensors and Bioelectronics: X
Subjects:
Quartz Crystal Microbalance
Impedance spectroscopy
k-means clustering
Support vector machines
Design of experiments
Online Access:http://www.sciencedirect.com/science/article/pii/S2590137022000139

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http://www.sciencedirect.com/science/article/pii/S2590137022000139

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