التفاصيل البيبلوغرافية
| العنوان: |
Nitrogen-rich porous carbon modified electrochemical sensor for the detection of acetaminophen. |
| المؤلفون: |
Liang, Wencui1 (AUTHOR), Liu, Longlong1 (AUTHOR), Li, Yangguang1 (AUTHOR), Ren, Hailong1 (AUTHOR), Zhu, Tingting1 (AUTHOR), Xu, Yuwen1 (AUTHOR), Ye, Bang-Ce1,2 (AUTHOR) bcye@ecust.edu.cn |
| المصدر: |
Journal of Electroanalytical Chemistry. Dec2019, Vol. 855, pN.PAG-N.PAG. 1p. |
| مصطلحات موضوعية: |
*ELECTROCHEMICAL sensors, *CARBON electrodes, *ACETAMINOPHEN, *PORE size distribution, *CYCLIC voltammetry, *SURFACE structure |
| مستخلص: |
A simple and sensitive sensor based on a glassy carbon electrode modified with nitrogen-rich porous carbon (P-NC) has been developed for the detection of acetaminophen (APAP). The nanocomposite P-NC was prepared by the assisted carbonization of the zeolitic imidazolate framework ZIF-8 using poly(vinylpyrrolidone), and its morphology and surface structure were thoroughly characterized. The results revealed that the P-NC prepared has a uniform pore size distribution with a high superficial area. The electrochemical properties of P–NC–modified electrodes were investigated by cyclic voltammetry, electrochemical impedance spectroscopy, and differential pulse voltammetry. It was found that the modified electrode has a high catalytic activity for APAP and exhibits good linearity for the 3–110 μM concentration range with a minimum detection limit of 0.5 μM (S/N = 3). In addition, the constructed sensor exhibits good repeatability, stability, recovery, and selectivity, allowing it to be successfully applied to the detection of APAP in real-world human urine samples. Image 1 • The electrochemical detection of APAP by P-NC/GCE was reported for the first time. • P-NC/GCE features facile preparation, low reagent consumption and cost effectiveness. • The P-NC based electrochemical sensors exhibited excellent analytical performances. • The method has been successfully applied to the detection of acetaminophen in human urine. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
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