A plasmonic nanopore SERS sensor with POF analysis and 1D-CNN classifies proline-hydroxylated versus non-hydroxylated peptides with accuracies of 73-90% and AUC above 0.80 across 7-15 amino acid lengths.
Angewandte Chemie-International Edition, 2025
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Label-free SERS Discrimination of Native Proline Hydroxylation at Single-molecule peptide by Deep Learning-assisted plasmonic nanopore
A plasmonic nanopore SERS sensor with POF analysis and 1D-CNN classifies proline-hydroxylated versus non-hydroxylated peptides with accuracies of 73-90% and AUC above 0.80 across 7-15 amino acid lengths.