Evidence map›Paper›PMID 41949127›Full record

ArticleJournal of the American Society for Mass Spectrometry2026

Minimizing the Coffee Ring Effect: Improving MALDI Dried-Drop Analysis by Sequential Spotting.

Joy L Maabadi, Arbil Lopez, Joseph H Holbrook, Amanda B Hummon

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 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

4 authors.

Joy L MaabadiDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.
Arbil LopezDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.
Joseph H HolbrookDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.
Amanda B HummonDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.ORCID 0000-0002-1969-9013

Funding

Chemical Specific Measurements of Cellular Heterogeneity in OrganoidsR35GM158423 · NIGMS · OHIO STATE UNIVERSITY · PI Amanda B. Hummon · 2025 to 2026
$833k
Bruker timsTOF fleX MALDI-2 for Biomedical Research at The Ohio State UniversityS10OD036284 · OD · OHIO STATE UNIVERSITY · PI HUMMON, AMANDA B. · 2025 to 2025
$750k
NIGMS NIH HHS R35 GM158423NIH HHS S10 OD036284
6 · The paper itself

Abstract

In matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) experimentation, dried-drop analyses are valuable for their ease of preparation and the generation of efficient results. They hold value in their ability to assess the ionizability of an analyte or determine whether it will fragment when subjected to the MALDI laser. However, this technique can be limited by the "coffee ring effect", producing heterogeneity in dried drops with "sweet spots" (areas of concentrated analyte) and "dead zones" (areas with little to no analyte). The coffee ring forms when the analyte concentrates on the edge of the MALDI spot, which leads to difficulty in finding consistent signals from a sample. We demonstrate that sequentially spotting dried drops at halved and quartered pipet solution levels reduces the spot diameter and crucially enhances the signal intensity. With this technique, these concentrated areas are less prevalent and there are fewer dead zones across the droplet. This study has its limitations in sample size; therefore, further investigations will be necessary. Although it increases the sample preparation time, sequential spotting makes the MS process more robust, reducing dead zones and obtaining higher signals in this proof-of-concept study.

Identifiers

PMID41949127
PMCPMC13154212

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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.