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Single laboratory validation of an optical biosensor method for the determination of folate in foods.

机译:用于测定食品中叶酸的光学生物传感器方法的单实验室验证。

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The scope of a recently developed optical biosensor platform for application to milk products was extended in this study to the determination of folate in supplemented and non-supplemented foods. The technique utilises folate-binding protein within an automated high throughput inhibition assay format and was subjected to single-laboratory validation. Critical performance factors were evaluated, including establishing four-parameter logistic calibration parameters, confirmation of equivalent molar cross-reactivity as a function of poly- gamma-glutamate chain length, demonstration of analytically insignificant non-specific binding, and verification of the absence of food-derived matrix interferences. A panel of certified reference food materials was used to estimate assay precision (HorRatr: 0.3-0.8), confirm recovery within accepted guidelines (72-112%) and establish method accuracy based on data compliance with assigned folate values. The optimised method was applied to a range of food items (milk, cereal, flour, broccoli, egg, fishmeal, liver) and the influence of assay variables including preheat and trienzyme treatments was demonstrated to be minor. The described assay is an expedient alternative to current methods used for the determination of the folate content in foods
机译:在这项研究中,最近开发的用于牛奶产品的光学生物传感器平台的范围已扩展到测定补充食品和非补充食品中的叶酸。该技术在自动化的高通量抑制分析形式中利用了叶酸结合蛋白,并经过了单实验室验证。评估了关键的性能因素,包括建立四参数逻辑校准参数,确认等效摩尔交叉反应性是聚γ-谷氨酸链长的函数,证明分析上无意义的非特异性结合以及验证是否存在食物矩阵干扰。使用一组经过认证的参考食品材料来评估测定精度(HorRat r :0.3-0.8),确认回收率在公认的准则内(72-112%),并根据与指定值相关的数据建立方法的准确性叶酸值。该优化方法已应用于多种食品(牛奶,谷物,面粉,西兰花,鸡蛋,鱼粉,肝脏),并且测定变量(包括预热和三酶处理)的影响很小。所描述的测定法是目前用于确定食品中叶酸含量的方法的一种简便的替代方法

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