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Paul, MNīußler S, Rumpold BA, Jander E, Rawel HM, Schlüter OK (2016) Recovery and techno-functionality of flours and proteins from two edible insect species: mealworm ( Tenebrio molitor) and black soldier fly ( Hermetia illucens) larvae.

In: Champagne ET (ed) Rice: chemistry and technology. Woodhead Publishing Limited, CambrigdeĪzahog C, Ducept F, Garcia R, Rakotozafy L, Cuvelier M-E, Keller S, Lewandowski R, Mezdour S (2016) Extraction and physiochemical characterization of Tenebrio molitor proteins. Int J Agric Res Rev 3:143–151Īrendt A, Zannini E (2013) Cereal grains for the food and beverage industries, Woodhead publishing series in food science, technology and nutrition, vol 248. Miner Eng 93:50–56Īnankware PJ, Fenning KO, Osekre E, Obeng-Ofori D (2014) Insects as food and feed: a review. KeywordsĪltun O, Toprak A, Benzer H, Darimaz O (2016) Multi component modelling of an air classifier. In addition, the oil of the dried larvae was extracted with a screw press and the protein-rich press cake was processed with a rolling mill to insect meal, which is comparable to fishmeal and suitable for use in pet food and livestock feed. Regarding the processing of mealworm larvae, it has been shown that duration of drying and temperature have a significant influence on the nutritional value and quality of the larvae. In addition, an integrated camera system with a neural network can assist in assessing the constitution of mealworms by using the segments of the larvae for evaluation. Data have shown that it is possible to separate mealworm larvae from the substrate and faeces effectively with a zig-zag air separator and make handling and separating processes easier by automation. In this study, we present a functional model for the automated separation and monitoring of the breeding process of mealworms. Automating the production of insects for rearing, harvesting and processing is an important step in making insect mass production more attractive, cost effective and competitive.

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