ArticleFoods (Basel, Switzerland)2023
Development of a DNA Metabarcoding Method for the Identification of Insects in Food.
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 12 papers.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Rapid Identification of Edible Insect Species in Food Using MALDI-TOF Mass Spectrometry.Rapid communications in mass spectrometry : RCM · 2026Article
- DNA metabarcoding for food authentication: identification of freshwater, marine, and terrestrial gastropods in commercial food products.NPJ science of food · 2026Article
- A validated DNA metabarcoding approach for routine authentication of processed bivalves.Food chemistry. Molecular sciences · 2026Article
- Duplex PCR Detection and Differentiation of Insect DNAInsects · 2025Article
- Set-up and validation of end-point polymerase chain reaction for the detection of edible insect DNA -Italian journal of food safety · 2025Article
- Detection and Quantification of House Crickets (Insects · 2025Article
- Article
- Analytical Methods for the Identification of Edible and Feed Insects: Focus on DNA-Based Techniques.Foods (Basel, Switzerland) · 2025Review
- Development of a DNA Metabarcoding Method for the Identification of Crustaceans (Foods (Basel, Switzerland) · 2025Article
- Current Progress and Future Trends of Genomics-Based Techniques for Food Adulteration Identification.Foods (Basel, Switzerland) · 2025Review
- Authentication of EU-Authorized Edible Insect Species in Food Products by DNA Barcoding and High-Resolution Melting (HRM) Analysis.Foods (Basel, Switzerland) · 2025Article
- Genetic Identification and Traceability of Insect Meals.Insects · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Insects have the potential to become an efficient and reliable food source for humans in the future and could contribute to solving problems with the current food chain. Analytical methods to verify the authenticity of foods are essential for consumer acceptance. We present a DNA metabarcoding method that enables the identification and differentiation of insects in food. The method, developed on Illumina platforms, is targeting a 200 bp mitochondrial 16S rDNA fragment, which we found to be suitable for distinguishing more than 1000 insect species. We designed a novel universal primer pair for a singleplex PCR assay. Individual DNA extracts from reference samples, DNA extracts from model foods and food products commercially available were investigated. In all of the samples investigated, the insect species were correctly identified. The developed DNA metabarcoding method has a high potential to identify and differentiate insect DNA in the context of food authentication in routine analysis.
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