Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic.
Department of Chemistry and Chemistry Education, Charles University, Prague, Czech Republic.
Rapid Commun Mass Spectrom. 2024 Dec 30;38(24):e9925. doi: 10.1002/rcm.9925.
Nuts contain a large amount of essential fatty acids, amino acids, and whole range of minerals and vitamins valuable for human health, yet certain risks are associated with their consumption, of which allergic reaction is the most important. Considering the growing number of people suffering from allergies caused by allergens of protein origin, the aim of this work is to find out whether nuts can be distinguished from each other on the basis of contained proteins.
A total of eleven raw and subsequently heat-treated nuts (almonds, Brazil nuts, cashews, coconuts, hazelnuts, macadamia nuts, peanuts, pecans, pine nuts, pistachios, and walnuts) were analyzed using MALDI-TOF (matrix-assisted laser desorption/ionization time-of-flight) mass spectrometry with the subsequent finding of characteristic m/z values for each analyzed nut. No previous method for protein extraction was used.
The characteristic values were used to verify the composition of seven types of festive cookies - six commercial products and one "unknown" cookie, where it was not known in advance, which nut it was made from.
The procedure, together with the found characteristic m/z values, could serve to rapidly identify the plant origin of nut products.
坚果含有大量对人体健康有益的必需脂肪酸、氨基酸以及各种矿物质和维生素,但它们的食用也存在一定风险,其中过敏反应是最重要的。考虑到越来越多的人因蛋白过敏原而过敏,本工作旨在确定是否可以根据所含蛋白质将坚果彼此区分开来。
采用基质辅助激光解吸电离飞行时间质谱法(MALDI-TOF)对 11 种生的和随后热处理的坚果(杏仁、巴西坚果、腰果、椰子、榛子、澳洲坚果、花生、山核桃、松子、开心果和核桃)进行分析,随后为每种分析的坚果找到特征 m/z 值。未使用之前的蛋白质提取方法。
使用特征值来验证七种节日饼干的组成-六种商业产品和一种“未知”饼干,事先不知道它是由哪种坚果制成的。
该程序以及发现的特征 m/z 值可用于快速识别坚果产品的植物来源。