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Development of procedure for sample preparation of cashew nuts using mixture design and evaluation of nutrient profiles by Kohonen neural network
Food Chemistry ( IF 8.8 ) Pub Date : 2018-01-06 , DOI: 10.1016/j.foodchem.2018.01.050
Luana Santos Moreira , Bruna Cirineu Chagas , Clissiane Soares Viana Pacheco , Herick Macedo Santos , Luiz Henrique Sales de Menezes , Madson Moreira Nascimento , Milana Aboboreira Simões Batista , Raildo Mota de Jesus , Fábio Alan Carqueija Amorim , Luana Novaes Santos , Erik Galvão Paranhos da Silva

A procedure using ICP OES for sample preparation for the determination of copper, iron and manganese in cashew nuts was developed. Constrained simplex-centroid design was applied in the optimization of the digestion in microwave oven procedure, and the results evaluated from topological maps of the Kohonen network. The best proportion evaluated for the digestion of the sample with HNO3, H2O2 and H2O was 10:45:45 (%). With optimized conditions, the detection limits were 0.63, 4.3 and 0.37 mg kg−1, and quantification 2.1, 14 and 1.2 mg kg−1 for Cu, Fe and Mg, respectively. The precision (% RSD) was 1.84, 2.31 and 2.73, for Cu, Fe and Mg, respectively. The procedure proposed had the accuracy confirmed using NIST 1568b (at 95% reliability) and was applied in the samples obtaining concentrations in the range of 10.7–19.4, 44.3–67.2 and 11.0–21.4 mg kg−1 for Cu, Fe and Mg, respectively.



中文翻译:

通过混合设计和通过Kohonen神经网络评估营养成分来开发腰果样品制备程序

开发了一种使用ICP OES进行样品制备的方法,该方法用于测定腰果中的铜,铁和锰。将约束的单纯形质心设计应用于优化微波炉程序中的消化,并根据Kohonen网络的拓扑图对结果进行评估。对于用HNO 3,H 2 O 2和H 2 O消化样品评估的最佳比例为10:45:45(%)。在最佳条件下,检出限为0.63、4.3和0.37 mg kg -1,定量为2.1、14和1.2 mg kg -1分别用于铜,铁和镁。Cu,Fe和Mg的精度(%RSD)分别为1.84、2.31和2.73。所建议的程序具有使用NIST 1568b所确认的准确性(在95%的可靠性下),并应用于样品中的铜,铁和镁的浓度范围为10.7-1.9.4、44.3-67.2和11.0-21.4 mg kg -1,分别。

更新日期:2018-01-06
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