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.
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