ArticleACS omega2025
Sensory Classification of Brazilian
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- High-Throughput Equine Plasma Profiling Using Laser-Assisted Rapid Evaporative Ionisation Mass Spectrometry.Journal of mass spectrometry : JMS · 2026Article
- Combining rapid evaporative ionization mass spectrometry and chemometrics for the differentiation of cocoa bean quality.Current research in food science · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brazil plays an important role in coffee quality assessment since it is the top producer and exporter. New technologies must be developed to increase production and ensure product quality. Thus, this study presents an application of laser-assisted rapid evaporative ionization mass spectrometry (LA-REIMS) to fingerprint more than 800 Arabica coffee samples. These samples were divided into six sensory classes by professional tasters according to the Brazilian official classification. Machine learning algorithms were applied for a better understanding of complex fingerprints, and their performances were compared. Partial least-squares discriminant analysis (PLS-DA) was inferior in its predictive capability compared to support vector machines (SVM) and artificial neural networks (ANN), which achieved up to 100% accuracy. The high sensitivity to distinct sensory classes enabled a tentative identification of spectral signals, such as fatty acids, chlorogenic acids, and phospholipids, which are likely being related to these properties in Arabica coffee for the first time.
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Registered trials
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.