Analysis of machine learning techniques for capture agent free biosensing with porous silicon arrays

Simon J. Ward; Tengfei Cao; Catie Chang; Sharon M Weiss

doi:10.1117/12.2614697

4 March 2022 Analysis of machine learning techniques for capture agent free biosensing with porous silicon arrays

Simon J. Ward, Tengfei Cao, Catie Chang, Sharon M Weiss

Proceedings Volume 11979, Frontiers in Biological Detection: From Nanosensors to Systems XIV; 1197907 (2022) https://doi.org/10.1117/12.2614697
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

We investigate the utility of various statistical and machine learning techniques for classifying and quantifying selected proteins using an array of porous silicon sensors with uniquely tuned properties. No capture agents or bioreceptors are utilized for the protein detection. The sensing approach relies on differences in non-specific physisorption and represents a step towards a new low cost, simple and robust sensor platform that can detect a vast range of biomolecules.

Conference Presentation

Citation Download Citation

Simon J. Ward, Tengfei Cao, Catie Chang, and Sharon M Weiss "Analysis of machine learning techniques for capture agent free biosensing with porous silicon arrays", Proc. SPIE 11979, Frontiers in Biological Detection: From Nanosensors to Systems XIV, 1197907 (4 March 2022); https://doi.org/10.1117/12.2614697

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