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采用响应面法制备用于盐酸环苯扎林优化及电化学测定的(α - 二氧化锰:钴)修饰碳纳米管高灵敏度丝网印刷电极。

Fabrication of an (α-MnO:Co)-decorated CNT highly sensitive screen printed electrode for the optimization and electrochemical determination of cyclobenzaprine hydrochloride using response surface methodology.

作者信息

Abdel-Raoof Ahmed M, Osman Ayman O E, El-Desouky Ebrahim A, Abdel-Fattah Ashraf, Abdul-Kareem Rady F, Elgazzar Elsayed

机构信息

Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy (Boys), Al-Azhar University 11751, Nasr City Cairo Egypt

Department of Physics, Faculty of Science, Suez Canal University Ismailia Egypt.

出版信息

RSC Adv. 2020 Jul 1;10(42):24985-24993. doi: 10.1039/d0ra05106c. eCollection 2020 Jun 29.

Abstract

A new chemically optimized screen-printed electrode modified with a cobalt-doped α-MnO nanostructure on carbon nanotube paste (α-MnO:Co@CNTs) has been constructed for the recognition of cyclobenzaprine hydrochloride. The prepared paste is based on the incorporation of oxide ion conductors, such as the α-MnO nanostructure with cobalt and ion pairs (tetraphenyl borate coupled with the drug), as electroactive species in the screen-printed electrode to increase the sensor surface area and decrease electrical resistance. The central composite design is a useful methodology for the estimation and modeling of the exact optimum parameters specifically designed for this process. This is a good way to graphically clarify the relationship between various experimental variables and the slope response. The proposed sensor, α-MnO:Co@CNTs, possesses very good sensitivity and the ability to recognize the drug over the concentration range of 1 × 10 to 1 × 10 mol L at 25 ± °C with a detection limit of 2.84 × 10 mol L. It exhibits a reproducible potential and stable linear response for six months at a Nernstian slope of 58.96 ± 0.76 mV per decade. The proposed electrode approach has been successfully applied in the direct determination of the drug in its pure and dosage forms.

摘要

一种新型化学优化的丝网印刷电极已构建成功,该电极在碳纳米管糊剂上修饰有钴掺杂的α - MnO纳米结构(α - MnO:Co@CNTs),用于识别盐酸环苯扎林。制备的糊剂基于将氧化物离子导体(如含钴的α - MnO纳米结构和离子对(四苯基硼酸盐与药物结合))作为电活性物质掺入丝网印刷电极中,以增加传感器表面积并降低电阻。中心复合设计是一种用于估计和建模专门为此过程设计的精确最佳参数的有用方法。这是一种以图形方式阐明各种实验变量与斜率响应之间关系的好方法。所提出的传感器α - MnO:Co@CNTs在25 ± °C下对1×10至1×10 mol L浓度范围内的药物具有非常好的灵敏度和识别能力,检测限为2.84×10 mol L。它在能斯特斜率为每十年58.96 ± 0.76 mV的情况下,具有可重现的电位和六个月的稳定线性响应。所提出的电极方法已成功应用于直接测定药物的纯品和剂型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5e7/9055185/44a2b6d5e082/d0ra05106c-f1.jpg

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