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脱氧雪腐镰刀菌烯醇在小麦、小麦粉、麸皮和谷蛋白中的分布以及与检测方法相关的变异性。

Distribution of deoxynivalenol in wheat, wheat flour, bran, and gluten, and variability associated with the test procedure.

作者信息

Samar María M, Fontán Constantino Ferro, Resnik Silvia L, Pacin Ana M, Castillo Marcelo D

机构信息

Universidad de Buenos Aires, Departamento de Industrias y de Química Orgánica, Facultad de Ciencias Exactas y Naturales, 1428 Buenos Aires, Argentina.

出版信息

J AOAC Int. 2003 May-Jun;86(3):551-6.

PMID:12852575
Abstract

Analytical data obtained on deoxynivalenol (DON) concentration in naturally contaminated wheat during processing in an industrial mill were statistically analyzed, and the distribution functions of DON concentration in lots of wheat, bran, wheat flour, and gluten were estimated. The analytical method had acceptable precision (HORRAT 0.25-0.32) for each test sample. The total variance combined sampling, sample preparation, and analytical variances were 0.188, 0.033, 0.42, and 0.0014 ppm2 for wheat, 1.93; flour, 0.99; bran, 4.68; and gluten, 0.29, respectively. The distribution function of DON contamination presented an asymmetric tail for high values of concentration in wheat grains and wheat flour; in bran it seemed to be bimodal with 2 separated peaks of different concentrations; in gluten the normal distribution function gave a reasonably good fit to empirical data. The function eta(c) = -In(-Inp), where p (c) is the cumulative distribution function was linear with c in the so-called extreme-value type I distribution and could be fitted by a cubic polynomial in c in the distributions determined for all the products. This variability and distributional information contributes to the design of better sampling plans in order to reduce the total variability and to estimate errors in the evaluation of DON concentration in lots of wheat and wheat products.

摘要

对工业磨坊加工过程中天然污染小麦中脱氧雪腐镰刀菌烯醇(DON)浓度的分析数据进行了统计分析,并估算了大量小麦、麸皮、小麦粉和谷蛋白中DON浓度的分布函数。该分析方法对每个测试样品都具有可接受的精密度(HorRat值为0.25 - 0.32)。小麦、面粉、麸皮和谷蛋白的总方差(合并采样、样品制备和分析方差)分别为0.188、0.033、0.42和0.0014 ppm²,面粉为1.93,麸皮为4.68,谷蛋白为0.29。DON污染的分布函数在小麦籽粒和小麦粉中高浓度值处呈现不对称尾部;在麸皮中似乎是双峰的,有两个不同浓度的分离峰;在谷蛋白中,正态分布函数与经验数据拟合得相当好。函数eta(c) = -In(-Inp),其中p(c)是累积分布函数,在所谓的I型极值分布中与c呈线性关系,并且在为所有产品确定的分布中可以用c的三次多项式拟合。这种变异性和分布信息有助于设计更好的采样计划,以减少总变异性并估计大量小麦和小麦产品中DON浓度评估中的误差。

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