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Related Experiment Video

Updated: May 11, 2026

The Submerged Printing of Cells onto a Modified Surface Using a Continuous Flow Microspotter
08:29

The Submerged Printing of Cells onto a Modified Surface Using a Continuous Flow Microspotter

Published on: April 22, 2014

Standardized sample preparation using a drop-on-demand printing platform.

Ellen L Holthoff1, Mikella E Farrell, Paul M Pellegrino

  • 1United States Army Research Laboratory, RDRL-SEE-E, 2800 Powder Mill Road, Adelphi, MD 20783, USA. ellen.l.holthoff.civ@mail.mil

Sensors (Basel, Switzerland)
|May 9, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for preparing explosive material samples using drop-on-demand technology. This technique enhances accuracy and reproducibility in hazard detection systems.

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Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Chemical Engineering

Background:

  • Accurate evaluation of hazard detection systems requires standardized test materials.
  • Current sample preparation methods for energetic materials lack reproducibility and introduce variability.
  • This variability hinders the reliable assessment of optical detection technologies for hazardous residues.

Purpose of the Study:

  • To optimize, characterize, and calibrate microdroplets for energetic reference material preparation.
  • To develop a simplified instrument calibration technique and sample preparation protocol.
  • To address the challenges posed by existing methods in assessing hazard detection technologies.

Main Methods:

  • Utilized a drop-on-demand microdispenser for precise sample preparation.
  • Employed ultraviolet-visible (UV-Vis) absorption spectroscopy to measure droplet mass and reproducibility.
  • Investigated operational factors influencing droplet dispensing for energetic materials and interferents.

Main Results:

  • Demonstrated a robust methodology for preparing energetic material samples with high uniformity.
  • Achieved excellent reproducibility with typical R2 values of 0.991 and relative standard deviation (RSD) ≤ 5%.
  • Identified key operational parameters affecting droplet dispensing accuracy for various materials.

Conclusions:

  • The developed drop-on-demand technology offers a reliable and reproducible method for energetic sample preparation.
  • This advancement facilitates more accurate evaluation of hazard detection systems and optical sensing technologies.
  • The simplified calibration and preparation protocol enhances the practical application in explosive materials testing.