ArticleFoods (Basel, Switzerland)2023
Check Your Shopping Cart: DNA Barcoding and Mini-Barcoding for Food Authentication.
Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Performance Profiles of Short DNA Barcode Segments for Family Level Detection of Asteraceae Within Asterales.Plants (Basel, Switzerland) · 2026Article
- Traceability and Anti-Counterfeiting in Agri-Food Supply Chains: A Review of RFID, IoT, Blockchain, and AI Technologies.Sensors (Basel, Switzerland) · 2026Review
- Duplex Recombinase-Aided Amplification-Lateral Flow Dipstick (dRAA-LFD) Assay for New Zealand Green-Lipped Mussel Authentication.Biosensors · 2026Article
- DNA Barcoding for Tracing Biodiversity in Mixed Crop Food Products: A Proof of Concept Within the BioValue Project.Foods (Basel, Switzerland) · 2025Article
- Development of a DNA Metabarcoding Method for the Identification of Crustaceans (Foods (Basel, Switzerland) · 2025Article
- Exploring the chemotypic variability ofFrontiers in plant science · 2025Article
- Integrating DNA Barcoding Within an Orthogonal Approach for Herbal Product Authentication: A Narrative Review.Phytochemical analysis : PCA · 2025Review
- Internal transcribed spacer (ITS): The powerful DNA barcode and phylogenetic marker for successful authentication of Withania somnifera.Molecular biology reports · 2024Article
- A Droplet Digital PCR-Based Approach for Quantitative Analysis of the Adulteration of Atlantic Salmon with Rainbow Trout.Foods (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The molecular approach of DNA barcoding for the characterization and traceability of food products has come into common use in many European countries. However, it is important to address and solve technical and scientific issues such as the efficiency of the barcode sequences and DNA extraction methods to be able to analyze all the products that the food sector offers. The goal of this study is to collect the most defrauded and common food products and identify better workflows for species identification. A total of 212 specimens were collected in collaboration with 38 companies belonging to 5 different fields: seafood, botanicals, agrifood, spices, and probiotics. For all the typologies of specimens, the most suitable workflow was defined, and three species-specific primer pairs for fish were also designed. Results showed that 21.2% of the analyzed products were defrauded. A total of 88.2% of specimens were correctly identified by DNA barcoding analysis. Botanicals (28.8%) have the highest number of non-conformances, followed by spices (28.5%), agrifood (23.5%), seafood (11.4%), and probiotics (7.7%). DNA barcoding and mini-barcoding are confirmed as fast and reliable methods for ensuring quality and safety in the food field.
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.