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Direct Assembly and Metal-Ion Binding Properties of Oxytocin Monolayer on Gold Surfaces

Mervinetsky, Evgeniy; Alshanski, Israel; Buchwald, Jörg; Dianat, Arezoo; Lončarić, Ivor; Lazić, Predrag; Crljen, Željko; Gutierrez, Rafael; Cuniberti, Gianaurelio; Hurevich, Mattan; Yitzchaik, Shlomo (2019) Direct Assembly and Metal-Ion Binding Properties of Oxytocin Monolayer on Gold Surfaces. Langmuir, 35 (34). pp. 11114-11122. ISSN 0743-7463

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Peptides are very common recognition entities that are usually attached to surfaces using multistep processes. These processes require modification of the native peptides and of the substrates. Using functional groups in native peptides for their assembly on surfaces without affecting their biological activity can facilitate the preparation of biosensors. Herein, we present a simple single-step formation of native oxytocin monolayer on gold surface. These surfaces were characterized by atomic force spectroscopy, spectroscopic ellipsometry, and X-ray photoelectron spectroscopy. We took advantage of the native disulfide bridge of the oxytocin for anchoring the peptide to the Au surface, while preserving the metal-ion binding properties. Self-assembled oxytocin monolayer was used by electrochemical impedance spectroscopy for metal-ion sensing leading to subnanomolar sensitivities for zinc or copper ions.

Item Type: Article
Additional Information: This investigation was carried out with financial support of the H2020-FETOPEN project Reservoir Computing with Real-time Data for future IT, (RECORD-IT) under grant no. 664786. I.L., P.L., and Z.C. were also supported by the European Union through the European Regional Development Fund the Competitiveness and Cohesion Operational Programme (KK. and the H2020 CSA Twinning project No. 692194, RBI -T -WINNING.
Uncontrolled Keywords: biosensors; density functional theory; oxytocin
Subjects: NATURAL SCIENCES > Physics > Condensed Matter Physics
Divisions: Theoretical Physics Division
Project titleProject leaderProject codeProject type
Reservoir Computing with Real-time Data for future IT-RECORD-ITUNSPECIFIED664786EK
Reservoir Computing with Real-time Data for future IT-RECORD-ITUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Depositing User: Ivor Lončarić
Date Deposited: 19 Nov 2019 13:00
DOI: 10.1021/acs.langmuir.9b01830

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