Evidence map›Paper›PMID 41983338›Full record

ArticleRapid communications in mass spectrometry : RCM2026

Rapid Identification of Edible Insect Species in Food Using MALDI-TOF Mass Spectrometry.

David Straka, Alena Meledina, Tatiana Anatolievna Smirnova, Jana Hajslova, Lenka Kourimska, Martin Kulma, Katerina Sebelova, Ondrej Pospisil, Anezka Kopecka, Stepanka Kuckova

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

David StrakaDepartment of Biochemistry and Microbiology, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Prague 6, Czech Republic.ORCID https://orcid.org/0000-0002-4877-4393
Alena MeledinaDepartment of Biochemistry and Microbiology, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Prague 6, Czech Republic.
Tatiana Anatolievna SmirnovaDepartment of Biochemistry and Microbiology, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Prague 6, Czech Republic.
Jana HajslovaDepartment of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Prague 6, Czech Republic.ORCID https://orcid.org/0000-0001-7443-4280
Lenka KourimskaDepartment of Microbiology, Nutrition and Dietetics, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic.
Martin KulmaDepartment of Zoology and Fisheries, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic.
Katerina SebelovaDepartment of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Prague 6, Czech Republic.
Ondrej PospisilDepartment of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Prague 6, Czech Republic.ORCID https://orcid.org/0009-0004-7739-0120
Anezka KopeckaDepartment of Microbiology, Nutrition and Dietetics, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic.
Stepanka KuckovaDepartment of Biochemistry and Microbiology, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Prague 6, Czech Republic.ORCID https://orcid.org/0000-0002-9974-7862

Funding

METROFOOD-CZ LM2023064Ministry of Agriculture, Czech Republic QK23020101UCT Prague intern grant of Specific university research A1_FPBT_2025_001
6 · The paper itself

Abstract

rationaleEdible insects are emerging as sustainable, nutritious 'foods of the future' and are gradually introduced to the European market as novel foods. Ensuring consumer safety and preventing fraud requires legal regulation, which in turn depends on reliable analytical methods. Sensitive, rapid techniques capable of identifying insect species are needed to support enforcement and monitoring of legislation across different food matrices.

methodsPowders of 10 insect species, including all four edible insects authorised as novel foods in the European Union, were digested with trypsin without toxic extraction agents. Samples were purified using ZipTip C

resultsSix model mixtures and 10 commercial products were authenticated using previously created genus- and species-specific m/z databases. Model mixtures with dominant insect proteins allowed correct genus- and species-level identification (7-20% peptide matches). Closely related species or dominant spectral components increased the misidentification. In the commercial products, identification was adequate for high-insect-content samples, but species assignment was ambiguous or incorrect in products with low insect content (7-10%) and high plant protein content.

conclusionsMALDI-TOF MS enables rapid genus-level insect identification and species-level discrimination, especially when dealing with unprocessed single-species powders. Accurate species assignment depends on insect abundance and matrix complexity of the inspected products. As well, the use of MALDI-TOF MS for species identification of products with low insect content or high plant protein is still limited and may require complementary methods such as LC-MS/MS to achieve unambiguous species identification.

Indexed as

Edible InsectsFood AnalysisSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnimalsInsect ProteinsSpecies SpecificityTrypsinInsect ProteinsTrypsin

Identifiers

PMID41983338
PMCPMC13080764

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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.