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Proposition of Sample Preparation Procedure of Cassava Flour with Diluted Acid Using Mixture Design and Evaluation of Nutrient Profiles by Multivariate Data Analysis

机译:使用混合物设计和评价多元数据分析,使用混合物设计和营养谱评价稀释酸样品制备程序的提出

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摘要

In this study, we evaluated the efficiency of an extraction procedure with diluted acids using a digester block. The procedure was developed for the extraction of Ca, Cu, Fe, K, Mg, Mn, P, S, and Zn in handmade cassava flour samples produced in the south and extreme southern regions of Bahia State, Brazil. A mixture design was used for the optimization of the proportions of the acid mixture used in the extraction procedure, and the optimized conditions were 3.0 mL of HNO3 (3.5 mol L-1) and 3.0 mL of HCl (3.5 mol L-1). In the south and extreme south regions were obtained twenty-two and twenty-nine cassava flour samples, respectively. The determination of the analytes was performed using an inductively coupled plasma optical emission spectrometry (ICP OES). Accuracy of the proposed procedure was evaluated from the analysis of the certified reference material (CRM) of rice flour (NIST 1568b) and the results obtained by the proposed method were statistically in agreement with the certified values. The concentration range of Ca, Cu, Fe, K, Mg, Mn, P, S, and Zn found in the samples were compared with the values of recommended dairy intake (RDI), and we concluded that cassava flour is a good nutrient source. For the evaluation and interpretation of the data, multivariate analysis using principal components analysis (PCA) was used, and the results showed a separation between the samples of the south and extreme southern regions.
机译:在该研究中,我们评估了使用蒸煮块与稀释酸的提取方法的效率。在巴西巴希亚国家南部和极端南部地区生产的手工木薯面粉样品中,为提取Ca,Cu,Fe,K,Mg,Mn,P,S和Zn开发了该程序。混合物设计用于优化提取过程中使用的酸混合物的比例,优化的条件为3.0ml HNO 3(3.5mol L-1)和3.0ml HCl(3.5mol L-1)。在南部和极端的南部地区分别获得二十二十九木薯面粉样品。使用电感耦合等离子体光发射光谱法(ICP OES)进行分析物的测定。从米粉(NIST 1568B)的认证参考材料(CRM)的分析中评估了所提出的程序的准确性,并通过所提出的方法获得的结果与认证价值观统计。将在样品中发现的Ca,Cu,Fe,K,Mg,Mn,P,S和Zn的浓度范围与推荐的乳制品摄入量(RDI)的值进行比较,我们得出结论,木薯面粉是一种好的营养源。对于数据的评估和解释,使用使用主成分分析(PCA)的多变量分析,结果显示了南部和极端南部地区的样本之间的分离。

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