Work

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

Year: 2026

Type: article

Abstract: RATIONALE: Edible 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. METHODS: and analysed by matrix-assisted laser desorption/ionisation time of flight mass spectrometry (MALDI-TOF MS) in positive reflector mode. Species-specific m/z values were identified using a simple structured query language-based search. Six model mixtures and 10 commercial products were tested with the same workflow to assess genus- and species-level authentication. RESULTS: Six 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. CONCLUSIONS: MALDI-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.

Source: Rapid Communications in Mass Spectrometry

DOI: 10.1002/rcm.70076