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Sensors 2013, 13(5), 5814-5825;

Standardized Sample Preparation Using a Drop-on-Demand Printing Platform

United States Army Research Laboratory, RDRL-SEE-E, 2800 Powder Mill Road, Adelphi, MD 20783, USA
Author to whom correspondence should be addressed.
Received: 29 March 2013 / Revised: 26 April 2013 / Accepted: 29 April 2013 / Published: 7 May 2013
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [230 KB, uploaded 21 June 2014]


Hazard detection systems must be evaluated with appropriate test material concentrations under controlled conditions in order to accurately identify and quantify unknown residues commonly utilized in theater. The existing assortment of hazard reference sample preparation methods/techniques presents a range of variability and reproducibility concerns, making it increasingly difficult to accurately assess optically- based detection technologies. To overcome these challenges, we examined the optimization, characterization, and calibration of microdroplets from a drop-on-demand microdispenser that has a proven capability for the preparation of energetic reference materials. Research presented herein focuses on the development of a simplistic instrument calibration technique and sample preparation protocol for explosive materials testing based on drop-on-demand technology. Droplet mass and reproducibility were measured using ultraviolet-visible (UV-Vis) absorption spectroscopy. The results presented here demonstrate the operational factors that influence droplet dispensing for specific materials (e.g., energetic and interferents). Understanding these parameters permits the determination of droplet and sample uniformity and reproducibility (typical R2 values of 0.991, relative standard deviation or RSD ≤ 5%), and thus the demonstrated maturation of a successful and robust methodology for energetic sample preparation. View Full-Text
Keywords: drop-on-demand; inkjet printing; sample preparation drop-on-demand; inkjet printing; sample preparation
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Holthoff, E.L.; Farrell, M.E.; Pellegrino, P.M. Standardized Sample Preparation Using a Drop-on-Demand Printing Platform. Sensors 2013, 13, 5814-5825.

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