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Carvalho da Silva VN, Farias EADO, Araújo AR, Xavier Magalhães FE, Neves Fernandes JR, Teles Souza JM, Eiras C, Alves da Silva D, Hugo do Vale Bastos V, Teixeira SS. Rapid and selective detection of dopamine in human serum using an electrochemical sensor based on zinc oxide nanoparticles, nickel phthalocyanines, and carbon nanotubes. Biosens Bioelectron 2022; 210:114211. [PMID: 35468419 DOI: 10.1016/j.bios.2022.114211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 03/17/2022] [Accepted: 03/20/2022] [Indexed: 12/29/2022]
Abstract
Composite materials have gained significant attention owing to the synergistic effects of their constituent materials, thereby facilitating their utilization in new applications or in improving the existing ones. In this study, a composite based on nickel phthalocyanine (NiTsPc), zinc oxide nanoparticles (ZnONPs), and carbon nanotubes (CNT) was developed and subsequently immobilized on a pyrolytic graphite electrode (PGE). The PGE/NiTsPc-ZnONPs-CNT was identified as a selective catalytic hybrid system for detection of neurotransmitter dopamine (DA). The electrochemical and morphological characterizations were conducted using atomic force microscopy (AFM). Chronoamperometry and differential pulse voltammetry (DPV) were used to detect DA and detection limits of 24 nM and 7.0 nM was found, respectively. In addition, the effects of some possible DA interferents, such as ascorbic acid, uric acid, and serotonin, on DA response were evaluated. Their presence did not show significant variations in the DA electrochemical response. The high specificity and sensitivity of PGE/NiTsPc-ZnONPs-CNT for DA enabled its direct detection in human serum without sample pretreatment as well as in DA-enriched serum samples, whose recovery levels were close to 100%, thereby confirming the effectiveness of the proposed method. In general, PGE/NiTsPc-ZnONPs-CNT is a promising candidate for future applications in clinical diagnosis.
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Affiliation(s)
- Valécia Natália Carvalho da Silva
- Laboratório de Neuroinovação Tecnológica & Mapeamento Cerebral - NITLAB, Universidade Federal do Delta do Parnaíba, Parnaíba, PI 64202-020, Brazil.
| | - Emanuel Airton de O Farias
- Núcleo de Pesquisa em Biodiversidade e Biotecnologia, BIOTEC, Universidade Federal do Delta do Parnaíba, Parnaíba, PI 64202-020, Brazil.
| | - Alyne R Araújo
- Núcleo de Pesquisa em Biodiversidade e Biotecnologia, BIOTEC, Universidade Federal do Delta do Parnaíba, Parnaíba, PI 64202-020, Brazil
| | - Francisco Elezier Xavier Magalhães
- Laboratório de Neuroinovação Tecnológica & Mapeamento Cerebral - NITLAB, Universidade Federal do Delta do Parnaíba, Parnaíba, PI 64202-020, Brazil
| | - Jacks Renan Neves Fernandes
- Laboratório de Neuroinovação Tecnológica & Mapeamento Cerebral - NITLAB, Universidade Federal do Delta do Parnaíba, Parnaíba, PI 64202-020, Brazil
| | - Jéssica Maria Teles Souza
- Núcleo de Pesquisa em Biodiversidade e Biotecnologia, BIOTEC, Universidade Federal do Delta do Parnaíba, Parnaíba, PI 64202-020, Brazil
| | - Carla Eiras
- Laboratório de Pesquisa e Desenvolvimento de Novos Materiais e Sistemas Sensores - MATSENS, Centro de Tecnologia, Universidade Federal do Piauí, Teresina, PI 64049-550, Brazil.
| | - Durcilene Alves da Silva
- Núcleo de Pesquisa em Biodiversidade e Biotecnologia, BIOTEC, Universidade Federal do Delta do Parnaíba, Parnaíba, PI 64202-020, Brazil
| | - Victor Hugo do Vale Bastos
- Laboratório de Mapeamento e Funcionalidade Cerebral - LAMCEF, Universidade Federal do Delta do Parnaíba, Parnaíba, PI 64202-020, Brazil
| | - Silmar Silva Teixeira
- Laboratório de Neuroinovação Tecnológica & Mapeamento Cerebral - NITLAB, Universidade Federal do Delta do Parnaíba, Parnaíba, PI 64202-020, Brazil
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Güneş M, Karakaya S, Dilgin Y. Highly Sensitive Square Wave Voltammetric Determination of Sunset Yellow at a functionalized‐MWCNTs/poly(Alizarin Red‐S) Composite Modified Electrode. ELECTROANAL 2022. [DOI: 10.1002/elan.202100566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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