Evidence map›Paper›PMID 41112934›Full record

ArticleAnalytical science advances2025

Application of Chemometric Methods in X-Ray Diffraction Data on Arabica Coffee Management Soils in Brazil.

Renata Vieira da Silva, Marcos Valério Vieira Lyrio, Roberta Quintino Frinhani, Lucas Louzada Pereira, Paulo Roberto Filgueiras, Marcos Antônio Ribeiro

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Analytical science advances, 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. 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

6 authors.

Renata Vieira da SilvaChemistry Department Universidade Federal do Espírito Santo Vitória ES Brazil.
Marcos Valério Vieira LyrioChemistry Department Universidade Federal do Espírito Santo Vitória ES Brazil.
Roberta Quintino FrinhaniChemistry Department Universidade Federal do Espírito Santo Vitória ES Brazil.
Lucas Louzada PereiraDepartment of Food Science and Technology Instituto Federal do Espírito Santo Vitória ES Brazil.
Paulo Roberto FilgueirasChemistry Department Universidade Federal do Espírito Santo Vitória ES Brazil.
Marcos Antônio RibeiroChemistry Department Universidade Federal do Espírito Santo Vitória ES Brazil.ORCID https://orcid.org/0000-0002-9350-6419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil mineralogy, analysed by x-ray diffraction (XRD), is crucial to understanding its variability and influence on physical and chemical properties. However, soil analysis by XRD faces challenges, especially with large sample volumes and subjective interpretation. This study proposes a simplified methodology for sample preparation and soil analysis by XRD, which is associated with the principal component analysis (PCA). Two PCA models were built: one using semiquantitative percentages of minerals and another based on diffraction intensities. After analysing 90 samples from nine farms producing

Identifiers

PMID41112934
PMCPMC12533966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.