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Optimization of capillary electrophoresis conditions for a glucagon competitive immunoassay using response surface methodology

机译:响应面分析法优化胰高血糖素竞争性免疫分析的毛细管电泳条件

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The capillary electrophoresis (CE) conditions for a competitive immunoassay of glucagon were optimized for highest sensitivity of the immunoassay and resolution of the electrophoretic peaks using a Box–Behnken design. Injection time, voltage ramp time, and separation voltage were varied between three levels and two responses, bound-to-free (B/F) ratio of the immunoassay peaks and resolution between the peaks, were measured. Analysis of variance was applied to fit a predictive model, and a desirability function was used to simultaneously optimize both responses. A 10-s injection, 1.6-min ramp time, and a 22-kV separation voltage were the conditions found when high B/F was given more emphasis than high resolution. To test the model, calibration curves of a glucagon immunoassay were measured at the optimum and least optimum CE conditions. Optimal conditions increased the sensitivity of the immunoassay by 388% compared to the least optimum conditions while maintaining adequate resolution.
机译:使用Box–Behnken设计优化了胰高血糖素竞争性免疫测定的毛细管电泳(CE)条件,以实现最高的免疫测定灵敏度和电泳峰的分离度。进样时间,电压斜坡时间和分离电压在三个水平和两个响应之间变化,分别测量了免疫测定峰的无约束(B / F)比和峰之间的分离度。应用方差分析以拟合预测模型,并使用期望函数同时优化两个响应。当高B / F比高分辨率更受重视时,会发现10 s的注入时间,1.6 min的斜坡时间和22 kV的分离电压。为了测试该模型,在最佳和最小最佳CE条件下测量了胰高血糖素免疫测定的校准曲线。与最低最佳条件相比,最佳条件使免疫测定的灵敏度提高了388%,同时保持了足够的分辨率。

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