Pozza M, De Marchi M, Visentin E, Niero G
Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020 Legnaro (PD), Italy.
Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020 Legnaro (PD), Italy.
J Dairy Sci. 2024 Dec;107(12):10352-10360. doi: 10.3168/jds.2024-24980. Epub 2024 Aug 16.
Milk and whey are subjected to quick deterioration due to bacterial growth. Turning them into powder allows for extended shelf life, easier storage, and more effective transport. Monitoring mineral elements in dairy powders is crucial for both technological and nutritional implications. Current analysis of minerals in food matrixes is time consuming and requires high costs and labor. Energy-dispersive X-ray fluorescence (ED-XRF) may represent a potential alternative technique to rapidly determine mineral content of food matrixes. The present study aimed to investigate the effectiveness of the ED-XRF technique for the prediction of Na, Mg, P, S, K, Ca, Cu, and Zn in skim milk and whey powders. Reference analysis for mineral concentration in dairy powders was inductively coupled plasma-optical emission spectrometry. The accuracy of ED-XRF for the prediction of mineral elements was assessed on all available samples (global calibration set; n = 23) and after splitting the whole data into a training set (n = 16) and a testing set (n = 7), comprising 70% and 30% of the available samples, respectively. The accuracy of prediction was moderate to low for Na and Mg, whereas robust predictions were obtained for P, S, K, Ca, Cu, and Zn, with coefficients of determination in global calibration from 0.88 to 0.99, and ratios performance to deviation in testing from 2.14 to 24.74. Results suggest that ED-XRF can be considered for accurate prediction of the main mineral elements in dairy powders.
由于细菌生长，牛奶和乳清会迅速变质。将它们制成粉末可以延长保质期、便于储存并更有效地运输。监测奶粉中的矿物质元素对于技术和营养方面都至关重要。目前对食品基质中矿物质的分析耗时且成本高、 labor量大。能量色散X射线荧光光谱法（ED-XRF）可能是一种快速测定食品基质中矿物质含量的潜在替代技术。本研究旨在探讨ED-XRF技术预测脱脂奶粉和乳清粉中钠、镁、磷、硫、钾、钙、铜和锌含量的有效性。奶粉中矿物质浓度的参考分析方法是电感耦合等离子体发射光谱法。在所有可用样品（全局校准集；n = 23）上以及将全部数据分为一个训练集（n = 16）和一个测试集（n = 7）后（分别占可用样品的70%和30%），评估了ED-XRF预测矿物质元素的准确性。钠和镁的预测准确性中等偏低，而磷、硫、钾、钙、铜和锌的预测效果较好，全局校准中的决定系数为0.88至0.99，测试中的性能与偏差比为2.14至24.74。结果表明，ED-XRF可用于准确预测奶粉中的主要矿物质元素。
