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Lab-made open-source controlled robotic workstation for sorbent-based dispersive microextraction of low-volume

Guillem Peris-Pastor1, Jose Grau1, Luis Arruza2

  • 1GICAPC Research Group, Department of Analytical Chemistry, University of Valencia, Burjassot, Valencia, 46100, Spain.

Analytica Chimica Acta
|April 27, 2025
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Summary

A new, affordable, open-source robotic workstation automates sorbent-based dispersive microextraction for laboratory use. This system enables semi-automated sample preparation, making advanced techniques more accessible.

Keywords:
AutomationBioanalysisLow-volume samplesMicroextractionOpen-source technologiesRobotic workstation

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Area of Science:

  • Analytical Chemistry
  • Robotics
  • Biochemistry

Background:

  • Microextraction techniques offer advantages over traditional methods but often require tedious manual operations.
  • Commercial automation systems for sample preparation are prohibitively expensive for many labs.
  • There is a need for cost-effective automation solutions in sample preparation.

Purpose of the Study:

  • To develop a low-cost, open-source robotic workstation for semi-automated sorbent-based dispersive microextraction.
  • To address the limitations of manual sample preparation and expensive commercial automation systems.
  • To provide an accessible automation solution for microextraction techniques.

Main Methods:

  • Construction of a lab-made robotic workstation using affordable hardware and 3D-printed components.
  • Control of the robotic system via open-source Arduino software.
  • Application of the workstation for semi-automated dispersive microextraction of analytes in biological samples.

Main Results:

  • The developed robotic workstation successfully performed semi-automated sorbent-based dispersive microextraction.
  • The system was utilized for the determination of long-chain acylcarnitines in newborn serum using flow injection analysis-tandem mass spectrometry (FIA-MS/MS).
  • The method demonstrated good sensitivity, precision, and accuracy, and was applied to real patient samples.

Conclusions:

  • The presented robotic workstation is the first non-commercial system specifically designed for sorbent-based dispersive microextraction.
  • The open-source and low-cost nature of the system makes automated sample preparation more accessible to a wider range of laboratories.
  • This development aligns with the trend towards automation in sample preparation, offering significant advantages over manual procedures.