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Robotic microplate voltammetry for real-time hydrogel drug release testing.

Wajee Jaikaew1, Adrian Ruff2, Panida Khunkaewla1

  • 1School of Chemistry, Biochemistry - Electrochemistry Research Unit, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.

Analytica Chimica Acta
|October 21, 2018
PubMed
Summary

Automated robotic square wave voltammetry (SVW) in microtiter plates offers a reliable method for quantifying drug release from pharmaceutical hydrogels. This non-manual assay provides accurate drug release profiles, reducing errors and saving skilled staff time.

Keywords:
AutomationDrug dissolution testingDrug release profileElectroanalysisHydrogelRobotic electrochemistryVoltammetry

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Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Pharmaceutical Sciences

Background:

  • Quantifying drug release from pharmaceutical hydrogels is crucial for drug development.
  • Manual electroanalysis for drug release studies is prone to human error and time-consuming.

Purpose of the Study:

  • To develop and validate a robotic square wave voltammetry (SVW) assay for automated, non-manual quantification of drug release from pharmaceutical hydrogels.
  • To establish a reliable and efficient method for generating drug release profiles from hydrogel formulations.

Main Methods:

  • Development of a robotic SVW assay using a 24-well microtiter plate format.
  • Utilized a three-electrode system with computerized buffer delivery for sequential 'in-well' measurements.
  • Established assay parameters including linear response range (up to 1000 μM) and lower detection limit (0.5 μM) for Paracetamol (PCT).

Main Results:

  • Demonstrated stable voltammetric signals for Paracetamol (PCT) during continuous runs for at least 6 hours.
  • Successfully generated bi-phasic drug release profiles for PCT from agarose hydrogel disks.
  • Validated the assay's reliability through sequential calibrations and triplicate sample analysis.

Conclusions:

  • Robotic SVW provides a reliable, automated, and non-manual procedure for quantifying drug release from pharmaceutical hydrogels.
  • This automated approach minimizes operator intervention, reduces human error, and offers an economic solution for hydrogel dissolution testing.
  • The method is suitable for academic and industrial R&D, especially for high-throughput sample analysis in multi-parameter optimization studies.