Belfast Mary, Lu Rong, Capen Robert, Zhong Jinglin, Nguyen Mai-Anh, Gimenez Juan, Sitrin Robert, Mancinelli Ralph
Merck and Company, Merck Research Laboratories, PO Box 4, Sumneytown Pike, West Point, PA 19486, USA.
J Chromatogr B Analyt Technol Biomed Life Sci. 2006 Mar 7;832(2):208-15. doi: 10.1016/j.jchromb.2005.12.053. Epub 2006 Feb 13.
The use of multi-factor statistical experimental design methodology minimized the vaccine material and laboratory resources required for optimization and validation of an HPLC assay for quantitation of depolymerized and total PRP. Components of the assay selected for optimization were adjuvant dissolution, ultracentrifuge conditions including ultracentrifuge model, sample diluent, mobile phase and column oven temperature. Previous experience has shown these components of the assay to be most troublesome and therefore required optimization prior to validation. Specificity, linearity, precision, accuracy and ruggedness were confirmed through a validation of the optimized assay. The validation also established the assay to be stability indicating, by showing that changes to the integrity of the PRP-OMPC conjugate could be detected.
多因素统计实验设计方法的使用,将优化和验证用于定量解聚的和总的PRP的HPLC测定所需的疫苗材料和实验室资源降至最低。选择用于优化的测定组件包括佐剂溶解、超速离心条件(包括超速离心机型号)、样品稀释剂、流动相和柱温箱温度。以往经验表明,这些测定组件最麻烦,因此在验证之前需要进行优化。通过对优化后的测定进行验证,确认了特异性、线性、精密度、准确度和耐用性。该验证还通过表明可以检测到PRP - OMPC缀合物完整性的变化,确定该测定具有稳定性指示作用。