Benes Eszter, Biró Barbara, Fodor Marietta, Gere Attila
Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Department of Food and Analytical Chemistry, H-1118 Budapest, Villányi út, 29-43, Hungary.
Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Department of Postharvest, Supply Chain, Commerce and Sensory Science, H-1118 Budapest, Villányi út 29-43, Hungary.
Food Chem X. 2022 Feb 24;13:100266. doi: 10.1016/j.fochx.2022.100266. eCollection 2022 Mar 30.
Insects are gaining more and more space in food and feed sectors, creating an intense scientific interest towards insects as food ingredients. Several papers deal with cereal-based products complemented by insect powder in the past few years. However, adulteration and quality control of such products present some hot topics for researchers, , how can we justify the amounts and/or species of the insects used in the given products? Our paper aims to answer such questions by analysing seven edible insect powders of different species independently. The mixtures with wheat flour were analysed using near infrared spectroscopy and chemometric methods. Not only powders of different species were clearly differentiated, but also mixtures created by different amounts of wheat flour. Prediction of insect content showed 0.65% cross-validated error. The proposed methodology gives an excellent tool for quality control of insect-based cereal food products.
昆虫在食品和饲料领域正占据越来越多的份额，引发了科学界对昆虫作为食品成分的浓厚兴趣。在过去几年里，有几篇论文探讨了以谷物为基础、添加昆虫粉的产品。然而，此类产品的掺假和质量控制是研究人员关注的一些热点问题，比如，我们如何证明给定产品中所用昆虫的数量和/或种类是合理的？我们的论文旨在通过独立分析七种不同种类的可食用昆虫粉来回答此类问题。使用近红外光谱法和化学计量学方法对与小麦粉的混合物进行了分析。不仅不同种类的粉末能够清晰区分，而且不同小麦粉用量制成的混合物也能区分开来。昆虫含量的预测显示交叉验证误差为0.65%。所提出的方法为基于昆虫的谷物食品的质量控制提供了一个出色的工具。
