Evidence map›Paper›PMID 41553404›Full record

ArticleAnalytical and bioanalytical chemistry2026

Tackling matrix effects in biosensor-based analysis of untreated blood plasma.

Giusy Finocchiaro, Markéta Bocková, Jiří Homola

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In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Giusy FinocchiaroInstitute of Photonics and Electronics of the Czech Academy of Sciences, Chaberská 1014/57, 182 00, Prague, Czech Republic.
Markéta BockováInstitute of Photonics and Electronics of the Czech Academy of Sciences, Chaberská 1014/57, 182 00, Prague, Czech Republic.
Jiří HomolaInstitute of Photonics and Electronics of the Czech Academy of Sciences, Chaberská 1014/57, 182 00, Prague, Czech Republic. homola@ufe.cz.

Funding

Czech Science Foundation 20-23787XNational Institute for Cancer Research LX22NPO5102
6 · The paper itself

Abstract

Human blood plasma is the matrix of choice for clinical diagnostic applications. However, matrix effects associated with its complex composition interfere with the accurate detection of biomarkers that are often present at extremely low concentrations. This study investigates such matrix effects, particularly the nonspecific adsorption of blood plasma to the sensor surface and the interaction of endogenous antibodies with the used receptors, and shows how they can be discriminated using a surface plasmon resonance biosensor. Moreover, we describe a strategy to tackle matrix effects by combining sequential blood plasma/buffer injections, single-surface referencing, and the addition of an antibody against endogenous immunoglobulins to blood plasma. Finally, we apply this strategy to the detection of the cancer biomarker carcinoembryonic antigen in undiluted blood plasma, achieving detection limits of 12 ng/mL using direct detection, and 225 pg/mL using a sandwich assay with functional gold nanoparticles.

Indexed as

Biosensor-based analysisHuman blood plasmaMatrix effectsSurface plasmon resonance

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.