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• W3109140211 abstract "first_page settings Order Article Reprints Font Type: Arial Georgia Verdana Font Size: Aa Aa Aa Line Spacing:    Column Width:    Background: Open AccessExtended Abstract Intelligent Multi-Electrode Array for Real-Time Treatment Monitoring of Antipsychotic Clozapine † by Rajendra P. Shukla 1,*, Deanna L. Kelly 2 and Hadar Ben-Yoav 1 1 Nanobioelectronics Laboratory (NBEL), Department of Biomedical Engineering and Ilse Katz Institute of Nanoscale Science and Technology, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel 2 Maryland Psychiatric Research Center (MPRC), School of Medicine, University of Maryland, Baltimore, MD 21228, USA * Author to whom correspondence should be addressed. † Presented at the 7th International Electronic Conference on Sensors and Applications, 15–30 November 2020; Available online: https://ecsa-7.sciforum.net/. Eng. Proc. 2020, 2(1), 4; https://doi.org/10.3390/ecsa-7-08211 Published: 14 November 2020 (This article belongs to the Proceedings of 7th International Electronic Conference on Sensors and Applications) Download Download PDF Download PDF with Cover Download XML Browse Figure Versions Notes Schizophrenia is a challenging mental health disorder [1]. While various antipsychotics have been used to treat schizophrenia, monitoring schizophrenia treatment requires patients to frequently travel to hospitals in order to test and maintain efficacious levels. Yet, current technologies for antipsychotic drug monitoring require benchtop equipment and long sample preparation times, impeding the ability to rapidly measure various antipsychotics levels at the point-of-care. For example, clozapine is the most effective antipsychotic medication for schizophrenia, but it is dramatically underutilized due to a burdensome monitoring scheme. We propose to overcome the analytical challenges by designing an intelligent multi-sensor array that will be modified with micro/nanometer-thick films [2]. The films are based on 2D materials (reduced graphene oxide, MoS2 and WS2) that increase the electrocatalytic activity of the sensors and the underlying variability of the electrochemical signals generated by the antipsychotics. Here, we have shown, (1) the development of microelectrodes modified with 2D materials, (2) the development of an intelligent multi-electrode array framework, and (3) the proof-of-concept extraction of antipsychotic levels from schizophrenia patients by using intelligent chemometric models (Figure 1). By rapidly deciphering the electrochemical signals in whole blood and quantifying the levels of the antipsychotics, better schizophrenia treatment outcome can be enabled. AcknowledgmentsThe authors thank the Brain and Behavior Research Foundation NARSAD Young Investigator and the Jeanne Marie Lee Investigator Grant (Grant number 26038) for funding the project. We also thank the Helmsley Charitable Trust through the Agricultural, Biological and Cognitive Robotics Initiative for the financial support in this research at Ben-Gurion University of the Negev. The authors also thank the Kreitman School for the Mid-way Negev fellowship for their support. The authors also thank Deanna L. Kelly for supplying the patient’s samples and guidance. ReferencesBuchanan, R.W.; Kreyenbuhl, J.; Kelly, D.L.; Noel, J.M.; Boggs, D.L.; Fischer, B.A. , PORT psychopharmacological treatment recommendations and summary statements. Schizophr. Bull. 2010, 36, 71–93. [Google Scholar] [CrossRef] [PubMed]Shukla, R.P.; Cazelles, R.; Kelly, D.L.; Ben-Yoav, H. , A reduced-graphene oxide-modified microelectrode for a repeatabledetection of antipsychotic clozapine using microliters-volumes of wholeblood. Talanta 2020, 209, 1205604. [Google Scholar] [CrossRef] [PubMed] Figure 1. Scheme of the intelligent multi-electrode array system for antipsychotic clozapine detection in finger-pricked microliter volume of whole blood. Figure 1. Scheme of the intelligent multi-electrode array system for antipsychotic clozapine detection in finger-pricked microliter volume of whole blood. Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Share and Cite MDPI and ACS Style Shukla, R.P.; Kelly, D.L.; Ben-Yoav, H. Intelligent Multi-Electrode Array for Real-Time Treatment Monitoring of Antipsychotic Clozapine. Eng. Proc. 2020, 2, 4. https://doi.org/10.3390/ecsa-7-08211 AMA Style Shukla RP, Kelly DL, Ben-Yoav H. Intelligent Multi-Electrode Array for Real-Time Treatment Monitoring of Antipsychotic Clozapine. Engineering Proceedings. 2020; 2(1):4. https://doi.org/10.3390/ecsa-7-08211 Chicago/Turabian Style Shukla, Rajendra P., Deanna L. Kelly, and Hadar Ben-Yoav. 2020. Intelligent Multi-Electrode Array for Real-Time Treatment Monitoring of Antipsychotic Clozapine Engineering Proceedings 2, no. 1: 4. https://doi.org/10.3390/ecsa-7-08211 Find Other Styles Article Metrics No No Article Access Statistics For more information on the journal statistics, click here. Multiple requests from the same IP address are counted as one view." @default.
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