Evidence map›Paper›PMID 40556296›Full record

ArticleAnalytical chemistry2025

Digital Immunoassay for Biomarker Detection Based on Single-Particle Laser Ablation ICP MS.

Vilém Svojanovský, Jakub Máčala, Antonín Hlaváček, Aleš Čermák, Jaromír Stráník, Pavel Bouchal, Ivana Mašlaňová, Petr Skládal, Zdeněk Farka, Jan Preisler

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Vilém SvojanovskýDepartment of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno 625 00, Czech Republic.ORCID 0009-0007-3241-7061
Jakub MáčalaDepartment of Biochemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno 625 00, Czech Republic.ORCID 0009-0001-9571-2865
Antonín HlaváčekInstitute of Analytical Chemistry of the Czech Academy of Sciences, Veveří 97, Brno 602 00, Czech Republic.ORCID 0000-0003-3358-3858
Aleš ČermákUrology Clinic, University Hospital Brno, Jihlavská 20, Brno 625 00, Czech Republic.
Jaromír StráníkDepartment of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno 625 00, Czech Republic.ORCID 0009-0003-2584-2423
Pavel BouchalDepartment of Biochemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno 625 00, Czech Republic.ORCID 0000-0002-7118-4113
Ivana MašlaňováDepartment of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno 625 00, Czech Republic.ORCID 0000-0002-2597-2848
Petr SkládalDepartment of Biochemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno 625 00, Czech Republic.ORCID 0000-0002-3868-5725
Zdeněk FarkaDepartment of Biochemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno 625 00, Czech Republic.ORCID 0000-0002-6842-7081
Jan PreislerDepartment of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno 625 00, Czech Republic.ORCID 0000-0002-9819-1284

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-particle (digital) immunoassays offer significantly lower limits of detection (LODs) than traditional immunoassays, making them suitable for the detection of low-abundance biomarkers. The most common approach for digital detection is based on counting individual labels. Here, we introduce a novel dot-blot particle-linked immunosorbent assay (PLISA) with digital readout utilizing laser ablation (LA) of photon upconversion nanoparticle (UCNP) labels from the nitrocellulose substrate. Compared to conventional LA, our approach allows desorption of intact nanoparticles and their precise counting by single-particle inductively coupled plasma mass spectrometry (SP ICP MS), thus counting individual UCNP-labeled immunocomplexes. Digital signal processing filters instrument noise and nanoparticle aggregates, minimizing potential errors. The immunoassay and LA SP ICP MS readout were optimized using human serum albumin, a kidney damage biomarker, as a model analyte, obtaining LODs of 0.18 and 0.12 ng/mL for the reference upconversion luminescence (UCL) and LA SP ICP MS readout, respectively. Building upon these optimized conditions, we developed PLISA for prostate-specific antigen, the key prostate cancer biomarker, with LODs of 2.4, 1.4, and 0.3 pg/mL for the UCL, analog, and digital LA SP ICP MS readout, respectively. The LOD in the sub-pg/mL range highlighted the advantage of particle counting and its ability to detect low-abundance biomarkers, as superior performance was achieved compared to the UCL and analog LA ICP MS readout. Finally, clinical serum samples of patients tested for prostate cancer were analyzed, and a strong correlation with the reference electrochemiluminescence method confirmed the potential of LA SP ICP MS for clinical diagnostics.

Indexed as

Biomarkers, TumorLaser TherapyMass SpectrometryProstate-Specific AntigenSerum Albumin, HumanBiomarkersHumansImmunoassayLasersLimit of DetectionNanoparticlesBiomarkersBiomarkers, TumorProstate-Specific AntigenSerum Albumin, Human

Identifiers

PMID40556296
PMCPMC12242906

What Socratic 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 Socratic graph.