Evidence map›Paper›PMID 41658152›Full record

ArticleACS omega2026

Supramolecular PDDA/PEDOT:PSS Biosensor for Early Pancreatic Cancer Detection via CA19-9: Clinical Validation on Human Blood Samples.

Gabriella Onila N Soares, Andrey C Soares, Ronaldo Dias, Rafael Kemp, Débora Gonçalves

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. From detection to ruling out in pancreatic cancer: a new perspective.Translational gastroenterology and hepatology · 2026
    Article
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

5 authors.

Gabriella Onila N SoaresMaterials Engineering Department, Engineering School, University of São Paulo, São Carlos, São Paulo 13563-120, Brazil.ORCID https://orcid.org/0000-0001-5979-2362
Andrey C SoaresDepartment of Physics, Federal University of Amazonas, Manaus, Amazonas 69067-005, Brazil.ORCID https://orcid.org/0000-0003-4601-3555
Ronaldo DiasRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo 14040-900, Brazil.
Rafael KempRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo 14040-900, Brazil.
Débora GonçalvesInstitute of Physics of São Carlos, University of São Paulo, São Carlos, São Paulo 13566-590, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer has one of the highest mortality rates, and early detection remains a challenge, significantly limiting therapeutic strategies. In this study, we present the clinical validation of a novel multilayered capacitance-based biosensor for early pancreatic cancer detection. Poly-(diallyldimethylammonium chloride) and (poly-(3,4-ethylenedioxythiophene):polystyrenesulfonate) (PDDA/PEDOT:SS) were physically adsorbed onto gold interdigitated electrodes via self-assembly, followed by surface functionalization with CA19-9 antibodies. Upon selective binding of the CA19-9 biomarker, the adsorption kinetics indicated that the system reached equilibrium within 7 min. Polarization modulation infrared reflection absorption spectroscopy, atomic force microscopy analysis, and electrical measurements confirmed the successful functionalization of the biosensor surface. The interaction between CA19-9 and the functionalized surface was evaluated using electrical impedance spectroscopy. The calibration curve was best fitted to the Langmuir-Freundlich model, and all data sets were processed by visual analysis (IDMAP). Key characteristics of the devices  sensitivity and selectivity  demonstrate a limit of detection of 0.01 U/mL, limit of quantification of 0.03 U/mL, and specificity toward CA19-9. Analyses were conducted on 24 blood samples collected from patients at different stages of the disease. The good performance at low and moderate CA19-9 concentrations was supported by IDMAP and Bland-Altman statistical analysis. The results confirmed the biosensor's potential as an innovative, sensitive, and selective tool for early detection of pancreatic cancer, with the possibility of future technology transfer to the Brazilian Health System.

Identifiers

PMID41658152
PMCPMC12878498

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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.