Shenzhen Academy of Metrology and Quality Inspection, Shenzhen 518102, People's Republic of China.
J Agric Food Chem. 2012 Apr 11;60(14):3580-5. doi: 10.1021/jf300865a. Epub 2012 Apr 3.
The proliferation of fake and inferior edible bird's nest (EBN) products has recently become an increasingly serious concern. To identify and classify EBN products, a competitive enzyme-linked immunoassay (ELISA) was developed to quantitate sialoglycoprotein in EBN used in food and cosmetic applications. The characteristic sialoglycoprotein in EBN was found, extracted, purified, and analyzed. Sialoglycoprotein, considered the main carrier of sialic acid in EBN, consisted of 106 and 128 kDa proteins. A monoclonal antibody that could recognize both proteins was prepared. The heat-treated process did not change the affinity of sialoglycoprotein with the antibody. An optimized ELISA method was established with a cross-reactivity of less than 0.1% and an IC(50) of 3.3 μg/mL. On the basis of different food and cosmetic samples, the limits of detection (LOD) were 10-18 μg/g. Recoveries of fortified samples at levels of 20 and 80 μg/g ranged from 81.5 to 96.5%, respectively. The coefficients of variation were less than 8.0%.
最近，伪劣燕窝产品的泛滥已成为一个日益严重的问题。为了识别和分类燕窝产品，我们开发了一种竞争性酶联免疫吸附测定（ELISA）方法，用于定量食品和化妆品应用中燕窝中的糖蛋白。发现、提取、纯化和分析了燕窝中的特征性糖蛋白。糖蛋白被认为是燕窝中唾液酸的主要载体，由 106 和 128 kDa 的蛋白质组成。制备了一种能够识别这两种蛋白质的单克隆抗体。热处理过程不会改变糖蛋白与抗体的亲和力。建立了一种优化的 ELISA 方法，交叉反应性小于 0.1%，IC（50）为 3.3 μg/mL。基于不同的食品和化妆品样品，检测限（LOD）为 10-18 μg/g。在 20 和 80 μg/g 水平下添加样品的回收率分别为 81.5%至 96.5%。变异系数小于 8.0%。
