Rapid discrimination and classification of edible insect powders using ATR-FTIR spectroscopy combined with multivariate analysis

2020 ◽  
Vol 6 (2) ◽  
pp. 141-148
Author(s):  
J. Mellado-Carretero ◽  
N. García-Gutiérrez ◽  
M. Ferrando ◽  
C. Güell ◽  
D. García-Gonzalo ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Infrared Spectroscopy ◽  
Locusta Migratoria ◽  
Acheta Domesticus ◽  
Alphitobius Diaperinus ◽  
Edible Insect ◽  
Chemical Fingerprinting ◽  
Food And Feed ◽  
Rapid Discrimination

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.

scholarly journals ATR-FTIR Spectroscopy Combined with Multivariate Analysis Successfully Discriminates Raw Doughs and Baked 3D-Printed Snacks Enriched with Edible Insect Powder

Foods ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1806
Author(s):  
Nerea García-Gutiérrez ◽  
Jorge Mellado-Carretero ◽  
Christophe Bengoa ◽  
Ana Salvador ◽  
Teresa Sanz ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Infrared Spectroscopy ◽  
Locusta Migratoria ◽  
Attenuated Total Reflection ◽  
Insect Species ◽  
Least Squares Regression ◽  
Alphitobius Diaperinus ◽  
Chickpea Flour ◽  
3D Printed ◽  
Preliminary Study

In a preliminary study, commercial insect powders were successfully identified using infrared spectroscopy combined with multivariate analysis. Nonetheless, it is necessary to check if this technology is capable of discriminating, predicting, and quantifying insect species once they are used as an ingredient in food products. The objective of this research was to study the potential of using attenuated total reflection Fourier transform mid-infrared spectroscopy (ATR-FTMIR) combined with multivariate analysis to discriminate doughs and 3D-printed baked snacks, enriched with Alphitobius diaperinus and Locusta migratoria powders. Several doughs were made with a variable amount of insect powder (0–13.9%) replacing the same amount of chickpea flour (46–32%). The spectral data were analyzed using soft independent modeling of class analogy (SIMCA) and partial least squares regression (PLSR) algorithms. SIMCA models successfully discriminated the insect species used to prepare the doughs and snacks. Discrimination was mainly associated with lipids, proteins, and chitin. PLSR models predicted the percentage of insect powder added to the dough and the snacks, with determination coefficients of 0.972, 0.979, and 0.994 and a standard error of prediction of 1.24, 1.08, and 1.90%, respectively. ATR-FTMIR combined with multivariate analysis has a high potential as a new tool in insect product authentication.

Towards a coordination of European activities to diagnose and manage insect diseases in production facilities

2018 ◽  
Vol 4 (3) ◽  
pp. 157-166 ◽  
Author(s):  
J. Eilenberg ◽  
M.M. van Oers ◽  
A.B. Jensen ◽  
A. Lecocq ◽  
G. Maciel-Vergara ◽  
...  
Keyword(s):  
Best Practice ◽  
Economic Loss ◽  
Acheta Domesticus ◽  
Alphitobius Diaperinus ◽  
Insect Pathology ◽  
Food And Feed ◽  
Lesser Mealworm ◽  
Insect Pathogens ◽  
New Generation ◽  
Production Facilities

The rapid increase in insect production for food and feed both in Europe and elsewhere in the world has led to a need for a coordinated action to assist producers in the diagnosis and management of insect diseases in production stock. Diseases caused by viruses, bacteria, fungi, protozoa and other insect pathogens can be detrimental for reared insects and may cause significant economic loss to producers. Here, we suggest how academia, commercial companies and other insect producers can jointly develop best practice for diagnosing insect diseases early and thereby manage such diseases efficiently. First, we analyse different ways of transmission of insect diseases in closed and semi-closed production facilities. Thereafter we describe four recent cases where companies have requested advice about insect pathogens in their insect stock namely: with giant mealworm Zophobas morio, yellow mealworm Tenebrio molitor, house cricket Acheta domesticus, and with lesser mealworm Alphitobius diaperinus. Our experience dealing with these cases gave us insight to suggest how we should coordinate European activities to establish a service to diagnose and provide advice, and how different European laboratories specialised in insect pathology should collaborate. An important issue will be to educate a new generation of insect pathologists, who with a combination of classical insect pathology methods and the most modern tools can become professionals in diagnosing and managing the various types of insect pathogens.

scholarly journals Classification of the hot air heat treatment degree of larch wood using a multivariate analysis of near-infrared spectroscopy

2018 ◽  
Vol 64 (3) ◽  
pp. 220-225 ◽  
Author(s):  
Sang-Yun Yang ◽  
Yeonjung Han ◽  
Yoon-Seong Chang ◽  
Jun-Ho Park ◽  
Yonggun Park ◽  
...  
Keyword(s):  
Heat Treatment ◽  
Multivariate Analysis ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Larch Wood ◽  
Hot Air

scholarly journals A Proteomic- and Bioinformatic-Based Identification of Specific Allergens from Edible Insects: Probes for Future Detection as Food Ingredients

Foods ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 280
Author(s):  
Annick Barre ◽  
Carole Pichereaux ◽  
Mathias Simplicien ◽  
Odile Burlet-Schiltz ◽  
Hervé Benoist ◽  
...  
Keyword(s):  
Locusta Migratoria ◽  
Three Dimensional ◽  
Amino Acid Sequences ◽  
Acheta Domesticus ◽  
Food Allergies ◽  
Edible Insects ◽  
Migratory Locust ◽  
Food Ingredients ◽  
Chemosensory Protein ◽  
Food And Feed

The increasing development of edible insect flours as alternative sources of proteins added to food and feed products for improving their nutritional value, necessitates an accurate evaluation of their possible adverse side-effects, especially for individuals suffering from food allergies. Using a proteomic- and bioinformatic-based approach, the diversity of proteins occurring in currently consumed edible insects such as silkworm (Bombyx mori), cricket (Acheta domesticus), African migratory locust (Locusta migratoria), yellow mealworm (Tenebrio molitor), red palm weevil (Rhynchophorus ferrugineus), and giant milworm beetle (Zophobas atratus), was investigated. Most of them consist of phylogenetically-related protein allergens widely distributed in the different groups of arthropods (mites, insects, crustaceans) and mollusks. However, a few proteins belonging to discrete protein families including the chemosensory protein, hexamerin, and the odorant-binding protein, emerged as proteins highly specific for edible insects. To a lesser extent, other proteins such as apolipophorin III, the larval cuticle protein, and the receptor for activated protein kinase, also exhibited a rather good specificity for edible insects. These proteins, that are apparently missing or much less represented in other groups of arthropods, mollusks and nematods, share well conserved amino acid sequences and very similar three-dimensional structures. Owing to their ability to trigger allergic responses in sensitized people, they should be used as probes for the specific detection of insect proteins as food ingredients in various food products and thus, to assess their food safety, especially for people allergic to edible insects.

scholarly journals Direct classification of related species of fungal endophytes (Epichloëspp.) using visible and near-infrared spectroscopy and multivariate analysis

2008 ◽  
Vol 284 (2) ◽  
pp. 135-141 ◽  
Author(s):  
Cristina Petisco ◽  
Gerard Downey ◽  
Ian Murray ◽  
Iñigo Zabalgogeazcoa ◽  
Balbino García-Criado ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Related Species ◽  
Near Infrared ◽  
Fungal Endophytes
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