Evidence map›Paper›PMID 41835524›Full record

ArticleACS omega2026

High-Performance Sensor Based on Molecularly Imprinted Poly-o-Phenylenediamine for Determination of Pentoses in Hydrolyzates of Lignocellulosic Biomass.

Miguel Sales Porto de Sousa, Acelino Cardoso de Sá, João Pedro Jenson de Oliveira, Cristián A Ferreti, María N Kneeteman, Leonardo Lataro Paim

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Article in ACS omega, 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

6 authors.

Miguel Sales Porto de SousaSão Paulo State University (Unesp), School of Engineering and Sciences, Rosana, Barrageiros Avenue 1881, Rosana, SP 19274-000, Brazil.
Acelino Cardoso de SáInstitute of Physics, São Carlos, USP - University of São Paulo, 400 Trabalhador São-Carlense Aveneu, São Carlos, SP 13566-590, Brazil.ORCID https://orcid.org/0000-0002-9811-4879
João Pedro Jenson de OliveiraSchool of Electrical and Computer Engineering, University of Campinas (UNICAMP), Av. Albert Einstein 400, Campinas, SP 13083-852, Brazil.
Cristián A FerretiInstituto de Química Aplicada del Litoral (IQAL), Santa Fe, Universidad Nacional del Litoral-CONICET, Santiago del Estero 2654, Santa Fe S3000, Argentina.ORCID https://orcid.org/0000-0003-0758-7783
María N KneetemanInstituto de Química Aplicada del Litoral (IQAL), Santa Fe, Universidad Nacional del Litoral-CONICET, Santiago del Estero 2654, Santa Fe S3000, Argentina.
Leonardo Lataro PaimSão Paulo State University (Unesp), School of Engineering and Sciences, Rosana, Barrageiros Avenue 1881, Rosana, SP 19274-000, Brazil.ORCID https://orcid.org/0000-0002-5113-6376

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecularly imprinted polymer (MIP) sensors were developed to determine d-xylose and d-arabinose in hydrolyzates of lignocellulosic biomass from sugarcane. Sensors were fabricated using molecularly imprinted poly-o-phenylenediamine anchored on composite substrates of functionalized multiwalled carbon nanotubes (FMWCNTs) electrodeposited onto a graphite/paraffin surface. The characterization of the modified electrodes and electrochemical analyses involved the utilization of spectroscopy and electroanalytical techniques such as Fourier-Transform Infrared Spectroscopy (FT-IR), Field Emission Gun Scanning Electron Microscopy (FEG-SEM), Cyclic Voltammetry (CV), Electrochemical Impedance Spectroscopy (EIS), and Differential Pulse Voltammetry (DPV). These techniques were employed to gain insight into the modified electrodes' properties and behavior and perform detailed electrochemical analyses. In addition, the most critical parameters that directly affect the analytical performance of the electrochemical sensor have been optimized. The sensors showed a limit of detection (LOD) of 6.1 × 10

Identifiers

PMID41835524
PMCPMC12980417

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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.