Evidence map›Paper›PMID 41867579›Full record

ArticleACS omega2026

Real-Time Wood Chemotyping Using a Low-Cost and Compact Mass Spectrometer.

Thays V C Monteiro, Mariana Fioramonte, Renan Pirolla, Alexandre Bahia Gontijo, Cristiano S Nascimento, Niro Higuchi, Mário Augusto Gonçalves Jardim, Maíra Fasciotti

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. 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

8 authors.

Thays V C MonteiroGraduate Program in Metrology and Technology, Laboratory of Organic Analysis, National Institute of Metrology, Quality and Technology (INMETRO), Duque de Caxias 25250-020, Brazil.
Mariana FioramonteWaters Technologies Brazil, São Paulo 06455-020, Brazil.ORCID https://orcid.org/0000-0002-1022-0811
Renan PirollaWaters Technologies Brazil, São Paulo 06455-020, Brazil.ORCID https://orcid.org/0000-0002-0949-8875
Alexandre Bahia GontijoForest Products Laboratory/Brazilian Forest Service (LPF/SFB), Brasília 70818-900, Brazil.
Cristiano S NascimentoForest Management Laboratory/National Institute for Amazon Research (LMF/INPA), Manaus 69060-062, Brazil.
Niro HiguchiForest Management Laboratory/National Institute for Amazon Research (LMF/INPA), Manaus 69060-062, Brazil.
Mário Augusto Gonçalves JardimMuseum Paraense Emílio Goeldi/Coordination of Botany (MPEG/COBOT), Belém 66040-170, Brazil.
Maíra FasciottiGraduate Program in Metrology and Technology, Laboratory of Organic Analysis, National Institute of Metrology, Quality and Technology (INMETRO), Duque de Caxias 25250-020, Brazil.ORCID https://orcid.org/0000-0002-6358-6067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing deforestation of critical ecosystems such as the Amazondriven largely by illegal logginghighlights the urgent need for accessible, scientifically robust tools for reliable timber identification. Traditional anatomical methods often fall short when distinguishing between morphologically similar species, while advanced analytical techniques, though accurate, are typically expensive, laboratory-bound, and impractical for massive timber trade monitoring. In this study, we report the first application of a compact, low-cost mass spectrometer for direct chemotyping of tropical hardwoods, aiming to explore its potential application in timber identification in regulatory and enforcement contexts. Four high-value species prone to fraudulent substitution

Identifiers

PMID41867579
PMCPMC13000584

What OpenQuestion holds

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LicenceCC BY
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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.