Implementation of Sterilization and Disinfection Protocols for Potentiometric Microneedle Sensors: A Requirement for

Xue Hui1, Agueda Molinero-Fernandez1, Ruben Zapata-Pérez2

  • 1UCAM-SENS, Universidad Católica San Antonio de Murcia, UCAM HiTech, Avda. Andres Hernandez Ros 1, Murcia 30107, Spain.

ACS Sensors
|February 13, 2026
PubMed

Insights

Microneedle (MN) sensors for preclinical studies can be reliably sterilized using ethanol or UV-C, ensuring biosafety and analytical accuracy. Autoclaving, however, damages these sensors, making them unsuitable for sterilization.

Area of Science:

  • Biomedical Engineering
  • Sensor Technology
  • Sterilization and Disinfection

Background:

  • Microneedle (MN) sensors offer potential for disease surveillance and preclinical research.
  • Ensuring biosafety through effective sterilization is critical for MN sensor application.
  • Compatibility of MN sensors with standard sterilization methods is largely uninvestigated.

Purpose of the Study:

  • To systematically evaluate the compatibility of potentiometric MN sensors with common laboratory sterilization and disinfection protocols.
  • To assess the impact of ethanol, autoclaving, and UV-C exposure on the analytical performance and biosafety of MN sensors.
  • To validate effective sterilization methods for MN sensors intended for preclinical use.

Main Methods:

  • Potentiometric pH-MN sensors (using tridodecylamine ionophore and polyvinyl butyral-Ag/AgCl reference electrode) were subjected to ethanol treatment, autoclaving, and UV-C exposure.
  • Analytical performance was assessed by measuring calibration parameters (slope, standard potential) and sensor accuracy.
  • Microbiological assays evaluated the effectiveness of ethanol and UV-C in eliminating bacterial contamination.

Main Results:

  • Ethanol treatment maintained near-Nernstian response and sensor accuracy (<5% deviation).
  • Autoclaving severely compromised MN sensor integrity and performance.
  • Optimized UV-C exposure (two-step protocol) preserved sensor accuracy (<4% deviation), and both ethanol and UV-C effectively eliminated bacterial contamination.

Conclusions:

  • Ethanol and UV-C are suitable sterilization methods for potentiometric MN sensors, ensuring both analytical reliability and biosafety for preclinical applications.
  • Autoclaving is incompatible with the tested MN sensor design.
  • A systematic validation workflow was established for assessing sterilization compatibility of MN sensors.

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