Development of carbon nanosensor for vinpocetine at zinc oxide modified carbon matrix with anionic surfactant for clinical application

  • Chethan kumar HB
  • , Davalasab Ilager
  • , Bhaskar Kurangi
  • , Sunil S. Jalalpure
  • , Saravanan Pandiaraj
  • , Abdullah N. Alodhayb
  • , Kunal Mondal
  • , Mohammed Ali Alshehri
  • , Nagaraj P. Shetti

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A nano-level sensing method was formulated for the trace-level detection and determination of vinpocetine (VIN) at a zinc oxide nanomaterial-based carbon matrix with immobilised anionic surfactant sodium dodecyl sulfate (ZnO-SDS/CPE) using cyclic voltammetry (CV) and square wave voltammetry (SWV) approaches. The catalytic properties of ZnO impact the electron rate of VIN activity, resulting in a threefold increase in the VIN peak response with the ZnO-SDS-modified sensor. The effects of several factors, including scan rate, pH, accumulation length, modifier amount, and concentration, were investigated on the VIN peak current. The electro-oxidation of VIN by pH study involves one proton and one electron. The CV method also investigated the effect of scan rate. The charge transfer coefficient (α) is obtained to be 0.58, and the heterogeneous rate constant (k°) is estimated to be 4.46 s⁻¹. The concentration effect of VIN was studied using the SWV method. Specifically, the SWV methodology achieved the lowest detection limit compared to previously published approaches, with estimated values of the Limit of Detection (LOD) and Limit of Quantification (LOQ) being 2.2 × 10⁻⁸ M and 7.7 × 10⁻⁸ M, respectively. The trace level of VIN in tablet and urine samples was determined using the modified sensor. Moreover, the sensor demonstrates particular reproducibility and long-term stability, making it suitable for real-time applications.

Original languageEnglish
Article number141967
JournalJournal of Molecular Structure
Volume1335
DOIs
StatePublished - Jul 15 2025

Funding

Dr. N.P. Shetti acknowledges the SERB Start-up Research Grant (SRG/2022/001174) from the Government of India, New Delhi. The author ANA is grateful to the Deanship of Scientific Research, King Saud University, for funding the research through the Vice Deanship of Scientific Research Chairs. KM acknowledges Oak Ridge National Laboratory and Idaho State University. Dr. N.P. Shetti acknowledges the SERB Start-up Research Grant ( SRG/2022/001174 ) from the Government of India, New Delhi . Authors acknowledge Researchers Supporting Project number ( RSP-2023/304 ), King Saud University, Riyadh, Saudi Arabia . KM acknowledges Oak Ridge National Laboratory.

Keywords

  • Anionic surfactant
  • Carbon matrix
  • Clinical sample analysis
  • Limit of detection
  • Vinpocetine
  • ZnO NPs

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