Repositori institucional URV
| URV's Author/s: | De Lamo Castellvi, Silvia / Ferrando Cogollos, Maria Montserrat / Güell Saperas, Maria Carmen / Méndez Sánchez, Carmen |
| Author, as appears in the article.: | Mendez-Sanchez, C; Güell, MC; Ferrando, M; Jimenez-Flores, R; Castellvi, SD; Rodriguez-Saona, L; Domingo, JC |
| Author's mail: | montse.ferrando@urv.cat carme.guell@urv.cat silvia.delamo@urv.cat carmen.mendez@urv.cat |
| Author identifier: | 0000-0002-2076-4222 0000-0002-4566-5132 0000-0002-5261-6806 |
| Journal publication year: | 2024 |
| Publication Type: | Journal Publications |
| APA: | Mendez-Sanchez, C; Güell, MC; Ferrando, M; Jimenez-Flores, R; Castellvi, SD; Rodriguez-Saona, L; Domingo, JC (2024). Prediction of fat content in edible insect powders using handheld FT-IR spectroscopic devices. Lwt-Food Science And Technology, 207(), 116652-. DOI: 10.1016/j.lwt.2024.116652 |
| Papper original source: | Lwt-Food Science And Technology. 207 116652- |
| Abstract: | The present study describes a new approach to predict the level of crude fat present in commercial edible Tenebrio molitor and Alphitobius diaperinus powders partially defatted using mid and near infrared spectral data combined with multivariate analysis. Insect powders were partially defatted by using three organic solvents and CO2 in supercritical conditions obtaining samples with fat content ranging from 0 to 28.7% (n = 46). Lipid content and fatty acid profile were determined by using Soxhlet and fatty acid methyl esters (FAME) methods, respectively. Spectral data was acquired using a two handheld FT-NIR devices (1350-2550 nm) and two portable FT-MIR equipment (4000-630 cm- 1) equipped with ATR crystals. Partial least squares regression (PLSR) model was used to easily predict insect fat content. Ethanol had lipid extraction yields significantly lower, specially for T. molitor. FA composition was affected by the solvent used. PLSR results exhibited good linearity, predicting crude fat content with strong correlation (Rcv >= 0.9) and low standard error of cross-validation (SECV = 1.06-3.22%). Nonetheless, the FT-NIR devices tested, showed higher performance for fat content prediction in insect powders, reaching values of 0.99 in coefficient of correlation (RP) and 1.05% in standard error in prediction (SEP). |
| Article's DOI: | 10.1016/j.lwt.2024.116652 |
| Link to the original source: | https://www.sciencedirect.com/science/article/pii/S0023643824009319 |
| Papper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Enginyeria Química |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | Zootecnia / recursos pesqueiros Saúde coletiva Química Odontología Nutrição Medicina veterinaria Medicina ii Medicina i Materiais Interdisciplinar Geociências Food science & technology Food science Farmacia Engenharias iii Engenharias ii Engenharias i Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Biotecnología Biodiversidade Astronomia / física Administração pública e de empresas, ciências contábeis e turismo |
| Keywords: | Tenebrio molitor Oils Nir Near-infrared spectroscopy Near-infrared spectroscop Mir Mid-infrared spectroscopy Lipids L Infrared-spectroscopy Fat content Alphitobius diaperinus Acids |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2024-09-14 |
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