Abstract

We propose a colorimetric sensing array consisting of 4-aminothiophenol (p-ATP)-modified gold nanoparticles (Au NPs), silver nanoparticles (Ag NPs), and core-shell Au@Ag nanocubes (Au@Ag NCs) as sensing elements to identify multiple proteins according to the diverse colorimetric response patterns. In the absence of proteins, the sensor element solution itself did not agglomerate. After interacting with six proteins (lysozyme (LZM), hemoglobin (HGB), peroxidase from horseradish (HRP), bovine liver from peroxidase (CAT), trypsin from bovin pancreas (TRY), and pepsin (PEP)), due to the different binding ability between the sensing elements and various proteins, the sensing array exhibits a unique pattern of colorimetric variations, linear discrimination analysis (LDA) was applied to analyze the pattern and produced a clustering map for a clearer differentiation of these proteins.

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