Analytical Methods in Proximate Composition of Ten Commonly Used Seasonings in Nigeria

Echebiri Udochukwu Victor, Christogonus Ifeanyichukwu Ugoh, F. Eze, I. L. Omeje, Momoh Besiru
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Abstract

This paper examines the proximate composition of ten commonly used seasonings (named A, B, C, D, E, F, G, H, I and J) in Nigeria. The data for this study were collected from Eke-Awka market in Anambra State as a representative of Nigeria using the simple random sampling method. The techniques of Single-factor Analysis of Variance and Kruskal-Wallis Test (One-Way ANOVA on Ranks) were employed in this study; Proximate compositions across the seasonings were tested for constant variance and normality. The findings of this study showed that the proximate compositions across the seasonings lack evidence of equality in variance and also lacks normality. Furthermore, the results from the Kruskal-Wallis test, as an alternative nonparametric to Single-factor ANOVA, showed that there is statistically significant difference between the proximate compositions across the seasonings. The Dunn Kruskal-Wallis Multiple Comparison test showed an evidence of no significant difference in the mean percentage composition of the following pairs of the proximate compositions: Ash and Fat, Carbohydrate and Fat, Ash and Moisture, Carbohydrate and Moisture, and Moisture and Protein. Thus, this study shows that there is significant difference in the proximate compositions of seasonings in Nigeria.
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尼日利亚十种常用调味品的近似成分分析方法
本文研究了尼日利亚常用的十种调味料(命名为A、B、C、D、E、F、G、H、I和J)的大致组成。本研究的数据收集自阿南布拉州作为尼日利亚代表的Eke-Awka市场,采用简单随机抽样方法。本研究采用单因素方差分析和Kruskal-Wallis检验(单向秩方差分析)技术;对各种调味料的近似成分进行了恒方差和正态性测试。本研究的结果表明,各种调味料的近似成分在方差上缺乏相等的证据,也缺乏正态性。此外,作为单因素方差分析的非参数替代方法,Kruskal-Wallis检验的结果显示,不同调味料的近似成分之间存在统计学显著差异。Dunn Kruskal-Wallis多重比较检验表明,以下几对近似组成的平均百分比组成无显著差异:灰分与脂肪、碳水化合物与脂肪、灰分与水分、碳水化合物与水分、水分与蛋白质。因此,这项研究表明,在尼日利亚的调味料的近似组成有显着差异。
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