分子印迹聚合物
材料科学
吉西他滨
信号(编程语言)
纳米技术
化学
选择性
计算机科学
癌症
有机化学
医学
内科学
催化作用
程序设计语言
作者
Behnaz Hatamluyi,Samira Sadeghzadeh,Reihaneh Sadeghian,Mohammad Mobin Mirimoghaddam,Mohammad Taher Boroushaki
标识
DOI:10.1016/j.snb.2022.132552
摘要
A novel and reliable electrochemical analysis tool was developed for gemcitabine (GEM) detection by combining the selective recognition of molecular imprinted polymer (MIP) technology and ratiometric quantification strategy. In this contribution, a glassy carbon electrode (GCE) surface was first modified by drop-coating CuCo 2 O 4 /NCNTs and ferrocene (FC) to achieve a ratiometric on-off response (CuCo 2 O 4 /NCNTs/FC was served as a substrate to amplify signal and to provide reference signal). Then, MIP network was prepared through in situ electrochemical polymerization, using aniline as monomer and GEM as template. Differential pulse voltammetry (DPV) analysis showed that the oxidation peak signal of FC decreased with the increase of GEM concentration, whereas the oxidation peak signal of GEM increased. Therefore, the peak current ratio of I GEM /I FC was employed to accurately reflect the concentration of GEM. Using this method, GEM was measured in the range from 0.1 to 150 µM with a low limit of detection of 11.3 nM. In addition, the sensor showed high reproducibility, anti-interference ability and good stability for 6 weeks toward GEM detection. Finally, the proposed sensor exhibited excellent detection performance in complex pharmaceutical and biological matrices with satisfactory recoveries. • A molecular imprinting ratiometric electrochemical sensor is developed for the detection of gemcitabine. • The CuCo 2 O 4 /NCNTs nanocomposite is applied to amplify the signal. • The sensor exhibits excellent gemcitabine sensing performance in complex pharmaceutical and biological matrices.
科研通智能强力驱动
Strongly Powered by AbleSci AI