A particle-in-pore SERS platform plus a 1D convolutional neural network discriminated proline from hydroxyproline with 96.6% accuracy, claimed as the first single-molecule-level Raman discrimination of a hydroxylated amino acid.
International Journal of Analytical Chemistry,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.chem-ph 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Label-free SERS Discrimination of Proline from Hydroxylated Proline at Single-molecule Level Assisted by a Deep Learning Model
A particle-in-pore SERS platform plus a 1D convolutional neural network discriminated proline from hydroxyproline with 96.6% accuracy, claimed as the first single-molecule-level Raman discrimination of a hydroxylated amino acid.