SERS and advanced chemometrics – Utilization of Siamese neural network for picomolar identification of beta-lactam antibiotics resistance gene fragment

The enormous development and expansion of antibiotic-resistant bacterial strains impel the intensive search for new methods for fast and reliable detection of antibiotic susceptibility markers. Here, we combined DNA-targeted surface functionalization, surface-enhanced Raman spectroscopy (SERS) measu...

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Veröffentlicht in:	Analytica chimica acta 2022-02, Vol.1192, p.339373-339373, Article 339373
Hauptverfasser:	Skvortsova, Anastasia, Trelin, Andrii, Kriz, Pavel, Elashnikov, Roman, Vokata, Barbora, Ulbrich, Pavel, Pershina, Alexandra, Svorcik, Vaclav, Guselnikova, Olga, Lyutakov, Oleksiy
Format:	Artikel
Sprache:	eng
Schlagworte:	Anti-Bacterial Agents - pharmacology Antibiotics resistance gene Bayes Theorem beta-Lactams Chemometrics Detection Neural Networks, Computer SERS Siamese neural network
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