Unknown

Dataset Information

0

Role of Green Chemistry in Antipsychotics' Electrochemical Investigations Using a Nontoxic Modified Sensor in McIlvaine Buffer Solution.


ABSTRACT: A new low-cost green electrochemical sensor based on nontoxic polyethylene glycol (PEG) and silver nanoparticles was used to improve the sensitivity of the carbon paste electrode for the investigation of olanzapine (OLZ) in dosage arrangements and in the existence of its coadministered drug fluoxetine and in the drug formulation. Scanning electron microscopy measurements were carried out to emphasize the morphology of the electrode surface. Cyclic voltammetry and differential pulse voltammetry were used to explore the diffusion and linearity behaviors of OLZ. Impedance spectroscopy measurements were determined to investigate the ac behavior of OLZ and then an ideal electrical circuit was modeled. A linear calibration was obtained from 1.0 × 10-8 to 1.25 × 10-4 M. The limit of detection was 1.5 × 10-9 M, whereas the limit of quantification was 5 × 10-9 M. The way has been wholly authenticated concerning linearity, precision, accuracy, reproducibility, sensitivity, and selectivity.

SUBMITTER: Azab SM 

PROVIDER: S-EPMC6648889 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Role of Green Chemistry in Antipsychotics' Electrochemical Investigations Using a Nontoxic Modified Sensor in McIlvaine Buffer Solution.

Azab Shereen M SM   Fekry Amany M AM  

ACS omega 20190102 1


A new low-cost green electrochemical sensor based on nontoxic polyethylene glycol (PEG) and silver nanoparticles was used to improve the sensitivity of the carbon paste electrode for the investigation of olanzapine (OLZ) in dosage arrangements and in the existence of its coadministered drug fluoxetine and in the drug formulation. Scanning electron microscopy measurements were carried out to emphasize the morphology of the electrode surface. Cyclic voltammetry and differential pulse voltammetry w  ...[more]

Similar Datasets

| S-EPMC8122775 | biostudies-literature
| S-EPMC8173557 | biostudies-literature
| S-EPMC5602751 | biostudies-literature
| S-EPMC7785347 | biostudies-literature
| S-EPMC6790939 | biostudies-literature