开发纳米材料支撑的分子印迹聚合物/受体样传感器,用于检测二元混合物中的罗伐他汀

IF 4.1 Q1 CHEMISTRY, ANALYTICAL
Mahdi Gharibi , Ensar Piskin , Nadia Bounoua , Ahmet Cetinkaya , Sibel A. Ozkan
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引用次数: 0

摘要

他汀类药物通过抑制羟甲基戊二酰-CoA(HMG-CoA)还原酶来减少胆固醇的合成。瑞舒伐他汀(ROS)是一种他汀类药物,用于预防心血管疾病和治疗血脂异常。本研究介绍了一种基于纳米材料辅助的分子印迹聚合物(MIP)电化学传感器的设计和制造,用于测定 ROS。此外,还设计了基于 MIP 的电化学传感器来检测标准溶液和血清样品中的 ROS。在玻璃碳电极(GCE)表面通过光聚合(PP)技术开发的基于 MIP 的电化学传感器中,使用氧化锌纳米颗粒(ZnO NPs)作为孔隙形成剂,对氨基苯甲酸(p-ABA)作为功能单体,ROS 作为模板分子。实验采用了电化学阻抗谱(EIS)、循环伏安法(CV)和扫描电子显微镜(SEM)技术,对表面形貌和电化学特性进行了详细分析。在优化的实验条件下,所设计传感器的线性范围为 1.0 × 10-13-1.0 × 10-12 M。根据计算,基于 MIP 的传感器在商业片剂和血清样品中的回收率分别为 100.35 % 和 99.16 %。此外,还计算了拟议传感器的相对选择性系数(k′),与 NIP 传感器相比,该传感器对 ROS 具有良好的选择性。总之,这种新开发的传感器为选择性、灵敏、快速和经济高效地分析二元混合物中的 ROS 提供了一种有利的方法。此外,该研究是首个使用纳米材料辅助 MIP 技术进行 ROS 分析的电化学传感器,其灵敏度高于其他文献研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of nanomaterial-supported molecularly imprinted polymer/receptor-like sensor for the detection of rosuvastatin from binary mixtures

Development of nanomaterial-supported molecularly imprinted polymer/receptor-like sensor for the detection of rosuvastatin from binary mixtures
Statins reduce cholesterol synthesis by inhibiting the enzyme hydroxymethylglutaryl-CoA (HMG-CoA) reductase. Rosuvastatin (ROS) is a statin drug used to prevent cardiovascular diseases and treat abnormal lipids. This study describes the design and fabrication of a nanomaterial-assisted molecularly imprinted polymer (MIP)-based electrochemical sensor for ROS determination. In addition, MIP-based electrochemical sensors were designed to detect ROS in both standard solutions and serum samples. In the MIP-based electrochemical sensor developed via the photopolymerization (PP) technique on the glassy carbon electrode (GCE) surface, were used zinc oxide nanoparticles (ZnO NPs) as a pore former, p-aminobenzoic acid (p-ABA) as functional monomer, ROS as template molecule. Electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and scanning electron microscopy (SEM) techniques were used to carry out detailed characterizations concerning surface morphology and electrochemistry. Under optimized experimental conditions, the linearity range of the designed sensor was found 1.0 × 10−13–1.0 × 10−12 M. The superior selectivity of the MIP-based sensor against ROS in the presence of their binary mixtures was confirmed by interference studies. The recovery rates of the MIP-based sensors were calculated as 100.35 % and 99.16 % in commercial tablet form and serum samples, respectively. Moreover, the proposed sensor's relative selectivity coefficient (k′) was calculated, and it provided good selectivity for ROS over the NIP sensor. In conclusion, this newly developed sensor offers an advantageous approach for selective, sensitive, rapid and cost-effective analysis of ROS from binary mixtures. Additionally, this study is the first electrochemical sensor using nanomaterial-assisted MIP technology for ROS analysis, and its sensitivity is higher than that of other studies in the literature.
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来源期刊
Talanta Open
Talanta Open Chemistry-Analytical Chemistry
CiteScore
5.20
自引率
0.00%
发文量
86
审稿时长
49 days
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