Evidence map›Paper›PMID 42195476›Full record

ArticleMicromachines2026

Spot on: A Laser Micromachining-Based Approach to Improve Dried Matrix Spot Preparation with Proof-of-Principle Analytical Demonstrations Using Ambient Ionization Mass Spectrometry.

Daniel O Reddy, Malek Hassan, Jonathan O Graham, Jared Viggers, Katherine E Williams, Randy E Ellis, Thomas R Covey, Jacob T Shelley, Richard D Oleschuk

Abstract read
In one paragraph

Article in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Daniel O ReddyDepartment of Chemistry, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-2496-4520
Malek HassanDepartment of Chemistry, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-9715-8087
Jonathan O GrahamDepartment of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Jared ViggersDepartment of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Katherine E WilliamsSchool of Computing, Queen's University, Kingston, ON K7L 2N8, Canada.
Randy E EllisSchool of Computing, Queen's University, Kingston, ON K7L 2N8, Canada.
Thomas R CoveySCIEX, Concord, ON L4K 4V8, Canada.
Jacob T ShelleyDepartment of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.ORCID 0000-0001-8470-1338
Richard D OleschukDepartment of Chemistry, Queen's University, Kingston, ON K7L 3N6, Canada.

Funding

CMC Microsystems (Canada) 11345, 13671, 12374Natural Sciences and Engineering Research Council of Canada CGV-186946Natural Sciences and Engineering Research Council of Canada RGPIN-2022-03833Natural Sciences and Engineering Research Council of Canada RGPIN-2025-05104
6 · The paper itself

Abstract

The use of dried matrix spots (DMSs) has recently re-emerged as a useful sample storage technique and analytical platform along with the increased adoption of and general preference for ambient ionization mass-spectrometric methods. However, challenges associated with precise liquid confinement and sample targeting persist. In this paper, we present a laser micromachining-based approach to prepare DMSs on hydrophobic paper substrates that include visual recognition elements, or reticles, around surface energy traps (SETs). This targeted DMS substrate is combined with direct mass spectrometric analyses, namely liquid microjunction-surface sampling probe-mass spectrometry (LMJ-SSP-MS) and flowing atmospheric-pressure afterglow-mass spectrometry (FAPA-MS). With the laser-based micromachining approach, DMSs flanked by crosshairs for enhanced visualization are prepared on SETs as small as 0.55 mm in diameter, which offers an approximately 12-fold reduction in size compared to traditional DMS preparations. The DMSs prepared on these targeting SETs are demonstrated with the detection of caffeine in model aqueous and artificial urine solutions using LMJ-SSP-MS and FAPA-MS, respectively. With further refinement, this approach could be automated using computer vision and robotics to broaden the scope of DMSs and improve the analytical workflow.

Indexed as

ambient ionization mass spectrometrydried blood spotsdried matrix spotsdried saliva spotsdried urine spotslaser micromachiningmicropatterningpaper microfluidics

Identifiers

PMID42195476
PMCPMC13209217

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.