Here,
for the first time, we present a colorimetric sensor array
toward sensitive protein discrimination based on a novel strategy
of diverse DNA–protein interactions with the performance of
iodide-responsive Cu–Au nanoparticles (NPs). Different steric
hindrance effects generated from differential interactions of DNA
and proteins inhibit the accessibility of iodide to the NP surfaces,
generating diverse colorimetric signals as “fingerprints”
associated with each specific protein, which is subjected to linear
discriminant analysis (LDA), a pluralistic statistic analysis technique
for assignment of unknown samples to their suitable categories and
data classification, to generate a clustering map. On the basis of
the LDA analysis, eight proteins with a concentration of 20 nM in
pure aqueous buffer and in real serum samples were successfully discriminated
with 100% accuracy.