Interfacing aptamers, nanoparticles and graphene in a hierarchical structure for highly selective detection of biomolecules in OECT devices

In several biomedical applications, the detection of biomarkers demands high sensitivity, selectivity and easy-to-use devices. Organic electrochemical transistors (OECTs) represent a promising class of devices combining a minimal invasiveness and good signal transduction. However, OECTs lack of intr...

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Veröffentlicht in:Scientific reports 2021-04, Vol.11 (1), p.9380-11, Article 9380
Hauptverfasser: Peruzzi, Carlotta, Battistoni, Silvia, Montesarchio, Daniela, Cocuzza, Matteo, Marasso, Simone Luigi, Verna, Alessio, Pasquardini, Laura, Verucchi, Roberto, Aversa, Lucrezia, Erokhin, Victor, D’Angelo, Pasquale, Iannotta, Salvatore
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Sprache:eng
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Zusammenfassung:In several biomedical applications, the detection of biomarkers demands high sensitivity, selectivity and easy-to-use devices. Organic electrochemical transistors (OECTs) represent a promising class of devices combining a minimal invasiveness and good signal transduction. However, OECTs lack of intrinsic selectivity that should be implemented by specific approaches to make them well suitable for biomedical applications. Here, we report on a biosensor in which selectivity and a high sensitivity are achieved by interfacing, in an OECT architecture, a novel gate electrode based on aptamers, Au nanoparticles and graphene hierarchically organized to optimize the final response. The fabricated biosensor performs state of the art limit of detection monitoring biomolecules, such as thrombin-with a limit of detection in the picomolar range (≤ 5 pM) and a very good selectivity even in presence of supraphysiological concentrations of Bovine Serum Albumin (BSA-1mM). These accomplishments are the final result of the gate hierarchic structure that reduces sterich indrance that could contrast the recognition events and minimizes false positive, because of the low affinity of graphene towards the physiological environment. Since our approach can be easily applied to a large variety of different biomarkers, we envisage a relevant potential for a large series of different biomedical applications.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-021-88546-4