A novel algorithm for the coupling control in solid-phase peptide synthesis.
This paper describes a new method for the evaluation of conductimetric data collected during the in-line monitoring of the coupling step in solid-phase peptide synthesis. The control scheme relies on a feed-forward artificial neural network algorithm which can predict the final yield of the reaction within its initial 5 min by analyzing the conductivity signal profile. The yield values predicted by the artificial neural network algorithm result in good accordance with the data obtained by the commonly used ninhydrin test.
Bagno
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A
Department of Chemical Processes Engineering, Faculty of Engineering, University of Padova, Italy.
Bicciato
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S
Dettin
M
M
Di Bello
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C
D000465:Algorithms; D004553:Electric Conductivity; D016571:Neural Networks, Computer; D009555:Ninhydrin; D010455:Peptides / Q000032:analysis / Q000138:chemical synthesis*; D010783:Photometry; D012815:Signal Processing, Computer-Assisted
D010455:Peptides; D009555:Ninhydrin