127635 20230921142939.0 doi 10.3920/JIFF2019.0032 sideral 117657 ART-2020-117657 eng Mellado-Carretero, J. Rapid discrimination and classification of edible insect powders using ATR-FTIR spectroscopy combined with multivariate analysis 2020 Insects are being proposed as an alternative way to ensure world''s food and feed security. Methods to determine edible insect powder''s origin and species will be needed for quality control purposes. Infrared spectroscopy has been extensively used in rapid chemical fingerprinting of food products. The present research explores a new approach to discriminate and classify commercial edible insect powders using attenuated total reflectance mid-infrared spectroscopy combined with multivariate analysis. Infrared spectra of seven commercial edible insect powders from different species (Tenebrio molitor, Alphitobius diaperinus, Gryllodes sigillatus, Acheta domesticus and Locusta migratoria) and origins (the Netherlands and New Zealand) were collected to build up soft independent modelling of class analogy (SIMCA) models. SIMCA models clearly discriminated insects by their species and origin linking their differences to lipids and chitin. SIMCA models performance was tested using five spectra of each class not used to build up the training set. 100% correct predictions were obtained for all the samples analysed with the exception of one sample of Alphitobius diaperinus. Infrared spectroscopy coupled to multivariate analysis provided a powerful method for the assurance of insect powder''s authenticity. Access copy available to the general public Unrestricted info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 3.484 2020 ENTOMOLOGY 12 / 101 = 0.119 2020 Q1 T1 FOOD SCIENCE & TECHNOLOGY 49 / 143 = 0.343 2020 Q2 T2 0.637 2020 Insect Science 2020 Q2 Food Science 2020 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/submittedVersion Garcia-Gutietzez, N. Ferrando, M. Guell, C. Garcia-Gonzalo, D. Universidad de Zaragoza (orcid)0000-0002-7629-8101 De Lamo-Castellvi, S. 2008 780 Universidad de Zaragoza Dpto. Produc.Animal Cienc.Ali. Área Tecnología de Alimentos 6, 2 (2020), 141-148 Journal of insects as food and feed 2352-4588 https://www.wageningenacademic.com/doi/epdf/10.3920/JIFF2019.0032?role=tab Texto completo de la revista 497468 http://zaguan.unizar.es/record/127635/files/texto_completo.pdf Preprint 2866656 http://zaguan.unizar.es/record/127635/files/texto_completo.jpg?subformat=icon icon Preprint oai:zaguan.unizar.es:127635 articulos driver 2023-09-21-13:01:54 ARTICLE