Carbon paste-glibanclamide-graphene oxide modified electrode analysis for dopamine

IF 2.218 Q2 Chemistry
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引用次数: 0

Abstract

The rapid determination of Dopamine (DA) has robust global desire for high efficacy. In this study the Glibanclamide/Graphene Oxide modified carbon paste electrode (GA/GO/MCPE) was used for the voltammetric detection of DA and Uric acid (UA).The XRD, SEM and EDX technique were utilized for the characterization of procured Graphene Oxide (GO) and GA/GO/MCPE; the modifier brings excellent sensitivity towards detection of DA and UA by CV and LSV techniques. The pH, concentration and sweep rate parameters study were carried out for the detection of DA and UA, the GA/GO/MCPE is applied for the simultaneous determination of DA and UA.

多巴胺的碳浆-利班克胺-氧化石墨烯改性电极分析
多巴胺(DA)的快速测定在全球范围内都具有很强的高效性。本研究采用 Glibanclamide/Graphene Oxide 修饰碳浆电极(GA/GO/MCPE)进行 DA 和 Uric acid(UA)的伏安检测。利用 XRD、SEM 和 EDX 技术对所采购的石墨烯氧化物(GO)和 GA/GO/MCPE 进行了表征;通过 CV 和 LSV 技术,修饰剂为 DA 和 UA 的检测带来了出色的灵敏度。对检测 DA 和 UA 的 pH 值、浓度和扫描速率参数进行了研究,GA/GO/MCPE 被用于同时检测 DA 和 UA。
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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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