ArticleNature communications2023
Data fusion and multivariate analysis for food authenticity analysis.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed.
- Quality Assessment in Frozen Seafood: Advances in Sensing Technologies and Artificial Intelligence.Foods (Basel, Switzerland) · 2026Review
- Multi-Omics Reveals the Effects of Processing on Chemical Composition of Different Vegetable Oils.Foods (Basel, Switzerland) · 2026Article
- A Single Polyoxometalate Nanozyme for Cross-Reactive Thiol Array Sensing via pKa-Driven and Enrichment-Synergistic Strategy.Sensors (Basel, Switzerland) · 2026Article
- Quantitative Analysis of Biomarkers to Distinguish Between Korean and Chinese Mud Loaches.Foods (Basel, Switzerland) · 2026Article
- Towards real-time pork breed and boar taint classification using rapid evaporative ionisation mass spectrometry.NPJ science of food · 2026Article
- Mapping the global origins of soybean: a study using ICP-MS and chemometrics.NPJ science of food · 2025Article
- Hyperspectral Imaging Techniques for Lyophilization: Advances in Data-Driven Modeling Strategies and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Metabolomics for origin traceability of lamb: An ensemble learning approach based on random forest recursive feature elimination.Food chemistry: X · 2025Article
- Mid-Level Data Fusion Techniques of LC-MS and HS-GC-MS for Distinguishing Green and Ripe Forsythiae Fructus.Molecules (Basel, Switzerland) · 2025Article
- Geographical origin discrimination of Chenpi using machine learning and enhanced mid-level data fusion.NPJ science of food · 2025Article
- The authentication of Yanchi tan lamb based on lipidomic combined with particle swarm optimization-back propagation neural network.Food chemistry: X · 2024Article
- Light Flux Density and Photoperiod Affect Growth and Secondary Metabolism in Fully Expanded Basil Plants.Foods (Basel, Switzerland) · 2024Article
- Rapid evaporative ionization mass spectrometry: A survey through 15 years of applications.Journal of separation science · 2024Review
- Efficient generation of HPLC and FTIR data for quality assessment using time series generation model: a case study on Tibetan medicine Shilajit.Frontiers in pharmacology · 2024Article
- Application of Data Fusion in Traditional Chinese Medicine: A Review.Sensors (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A mid-level data fusion coupled with multivariate analysis approach is applied to dual-platform mass spectrometry data sets using Rapid Evaporative Ionization Mass Spectrometry and Inductively Coupled Plasma Mass Spectrometry to determine the correct classification of salmon origin and production methods. Salmon (n = 522) from five different regions and two production methods are used in the study. The method achieves a cross-validation classification accuracy of 100% and all test samples (n = 17) have their origins correctly determined, which is not possible with single-platform methods. Eighteen robust lipid markers and nine elemental markers are found, which provide robust evidence of the provenance of the salmon. Thus, we demonstrate that our mid-level data fusion - multivariate analysis strategy greatly improves the ability to correctly identify the geographical origin and production method of salmon, and this innovative approach can be applied to many other food authenticity applications.
Indexed as
Identifiers
What OpenQuestion holds
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.