Faculty of Pharmacy, Department of Analytical Chemistry, Ankara University, 06560 Ankara, Turkey.
The Graduate School of the Health Sciences, Ankara University, 06110 Ankara, Turkey.
Langmuir. 2024 Oct 8;40(40):21139-21151. doi: 10.1021/acs.langmuir.4c02551. Epub 2024 Sep 28.
In this work, we report a study examining how different salt concentrations affect the structure and electrochemical performance of two CoO/C materials designed for the fabrication of an easy, cheap, fast, safe, and useful electrochemical sensor for the detection of Palbociclib (PLB). CoO nanoparticles were successfully created by encapsulating them in N-doped amorphous carbon matrices by using the molten salt-assisted approach. In this process, different amounts of potassium iodate and zeolitic imidazolate framework-12 (ZIF-12) were used, followed by pyrolysis at 800 °C. Optimum CoO embedded porous carbon structures were obtained, and the composite with the highest electrochemical properties was modified to a glassy carbon electrode (GCE) surface for PLB detection. The linear response spanned from 1.0 to 5.0 μM, featuring a limit of detection (LOD) of 0.122 μM and a limit of quantification (LOQ) of 0.408 μM; the correlation coefficient was calculated as 0.995. The high sensitivity of the method in detecting PLB in pharmaceutical samples and human urine demonstrated its feasibility, with recovery percentages ranging from 99.3% to 101.3% and relative standard deviation (RSD) values of <3%. Therefore, this technique will make a significant contribution to monitoring and improving existing cancer treatment options.
在这项工作中,我们报告了一项研究,研究了不同盐浓度如何影响两种 CoO/C 材料的结构和电化学性能,这两种材料旨在为制备用于检测 Palbociclib (PLB) 的简便、廉价、快速、安全且有用的电化学传感器而设计。通过使用熔融盐辅助方法将 CoO 纳米颗粒封装在掺氮非晶碳基质中,成功地制备了 CoO 纳米颗粒。在这个过程中,使用了不同量的碘酸钾和沸石咪唑酯骨架-12 (ZIF-12),然后在 800°C 下进行热解。获得了最佳的 CoO 嵌入多孔碳结构,并且具有最高电化学性能的复合材料被修饰到玻璃碳电极 (GCE) 表面以用于 PLB 检测。线性响应范围从 1.0 到 5.0 μM,检测限 (LOD) 为 0.122 μM,定量限 (LOQ) 为 0.408 μM;相关系数计算为 0.995。该方法在检测药物样品和人尿中的 PLB 方面表现出高灵敏度,表明其可行性,回收率范围为 99.3%至 101.3%,相对标准偏差 (RSD) 值小于 3%。因此,这项技术将为监测和改进现有的癌症治疗选择做出重大贡献。