ArticleFood chemistry2018
Metabolomics for organic food authentication: Results from a long-term field study in carrots.
Article in Food chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 76 citations in OpenAlex.
- Robust Metabolomics Data Normalization across Scales and Experimental Designs.Analytical chemistry · 2026Article
- Methodological framework for supporting phytochemical bioprospecting re-search: A case study on carrot (Heliyon · 2025Article
- Advances in detection technology for authentication of vegetable oils: A comprehensive review.Heliyon · 2024Review
- The Importance of Testing the Quality and Authenticity of Food Products: The Example of Honey.Foods (Basel, Switzerland) · 2023Review
- Gut microbiota assemblages of generalist predators are driven by local- and landscape-scale factors.Frontiers in microbiology · 2023Article
- Quantitative Analysis of Acetone in Transformer Oil Based on ZnO NPs@Ag NWs SERS Substrates Combined with a Stoichiometric Model.International journal of molecular sciences · 2022Article
- Discrimination of Geographical Origin of Agricultural Products From Small-Scale Districts by Widely Targeted Metabolomics With a Case Study on Pinggu Peach.Frontiers in nutrition · 2022Article
- Bioactive Compounds, Sugars, and Sensory Attributes of Organic and Conventionally Produced Courgette (Foods (Basel, Switzerland) · 2021Article
- Food Metabolites as Tools for Authentication, Processing, and Nutritive Value Assessment.Foods (Basel, Switzerland) · 2021Review
- Authentication and Chemometric Discrimination of Six Greek PDO Table Olive Varieties through Morphological Characteristics of Their Stones.Foods (Basel, Switzerland) · 2021Article
- HR-MAS NMR Applications in Plant Metabolomics.Molecules (Basel, Switzerland) · 2021Review
- Learning from methylomes: epigenomic correlates of Populus balsamifera traits based on deep learning models of natural DNA methylation.Plant biotechnology journal · 2020Article
- Comparative Metabolomic Analysis of Rapeseeds from Three Countries.Metabolites · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing demand for organic products and their premium prices make them an attractive target for fraudulent malpractices. In this study, a large-scale comparative metabolomics approach was applied to investigate the effect of the agronomic production system on the metabolite composition of carrots and to build statistical models for prediction purposes. Orthogonal projections to latent structures-discriminant analysis (OPLS-DA) was applied successfully to predict the origin of the agricultural system of the harvested carrots on the basis of features determined by liquid chromatography-mass spectrometry. When the training set used to build the OPLS-DA models contained samples representative of each harvest year, the models were able to classify unknown samples correctly (100% correct classification). If a harvest year was left out of the training sets and used for predictions, the correct classification rates achieved ranged from 76% to 100%. The results therefore highlight the potential of metabolomic fingerprinting for organic food authentication purposes.
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.