| نویسندگان | مینا احمدی کاشانی,حسین دهقانی قربی |
| نشریه | Microchemical Journal |
| شماره صفحات | 110320 |
| شماره مجلد | 200 |
| ضریب تاثیر (IF) | ثبت نشده |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2024-03-13 |
| رتبه نشریه | علمی - پژوهشی |
| نوع نشریه | الکترونیکی |
| کشور محل چاپ | ایران |
| نمایه نشریه | SCOPUS ,JCR |
چکیده مقاله
acceptable potential for in vitro activity against serious respiratory syndrome-related coronavirus (SARS-CoV)
and anti-influenza activity. However, designing a selective, sensitive and efficient electrocatalyst for the determination
of NAP is still a great challenge. In this research, a new electrocatalytic sensor was constructed for the
electrochemical recognition of NAP by a glassy carbon electrode modified with PbS nanostructures incorporated
graphene/polyaniline nanocomposite. The synthesized samples were characterized by physicochemical analyses
like EDS, XRD, FTIR, FESEM, and PL. Cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS)
and differential pulse voltammetry (DPV) were carried out to examine the electrocatalytic behavior of the
modified electrodes. The EIS plot obviously demonstrated rapid electron transport at low frequencies for the
PbS/graphene/PANI/GC electrode. It was observed that the PbS/graphene/PANI/GC electrode exhibited betterdefined
oxidation peaks, and greater peak currents for NAP detection compared to other electrodes. Under the
optimum conditions, the proposed PbS/graphene/PANI nanoplatform provided a reliable linear range of 1 to
100 μM with a detection limit as low as 0.08 μM. Meanwhile, the PbS/graphene/PANI electrode possessed
acceptable selectivity, good repeatability with an RSD of about 2.6 %, and a reduction of about 3 % after two
weeks, and long-term stability of about 97 % of its original response for the recognition of NAP. Furthermore, the
constructed electrode demonstrated NAP detection in real samples, such as human plasma and urine with good
recoveries ranging from 98.8 % to 99.9 %, suggesting its promising prospects in clinical diagnostics