Quality Control, Institute of Immunology Inc., Rockefellerova 10, 10000, Zagreb, Croatia.
Research &Development, Physical Characterisation, Pliva Croatia Ltd., Prilaz Baruna Filipovića 25, 10000, Zagreb, Croatia.
Talanta. 2020 May 1;211:120659. doi: 10.1016/j.talanta.2019.120659. Epub 2019 Dec 27.
Accuracy of reference values obtained by the reference method is essential to ensure the quality of a near-infrared (NIR) model. The purpose of this study was to assess the accuracy of a newly developed NIR analytical method for the determination of water content in a freeze-dried meningococcal vaccine by evaluating not only uncertainties associated with the calibration model and NIR measurement procedures but also systematic error arising from the reference Karl-Fischer method. An experimental design based on the standard addition method (SAM) in freeze-dried vaccines is proposed for total error assessment of the NIR analytical system. The accuracy profile showed that the NIR model successfully determined water content over the 1.0-6.7% range. The SAM enabled overall proportional error assessment, which yielded a slope of 1.01. The present study confirmed the suitability of the proposed NIR analytical method for the determination of water content in the freeze-dried meningococcal vaccine. Furthermore, assessment of the overall proportional error proved that the NIR analytical method could be used to accurately estimate differences in water content, therein surpassing the reference method as the method of choice for determining intra- or interbatch variability as well as stability.
参考值的准确性对于确保近红外 (NIR) 模型的质量至关重要。本研究旨在通过评估校准模型和 NIR 测量程序相关的不确定度以及参考卡尔-费歇尔 (Karl-Fischer) 方法引起的系统误差,来评估新开发的用于测定冻干脑膜炎球菌疫苗水分含量的 NIR 分析方法的准确性。为了对 NIR 分析系统的总误差进行评估,提出了一种基于冻干疫苗标准添加法 (SAM) 的实验设计。准确度概况表明,NIR 模型成功地测定了 1.0-6.7%范围内的水分含量。SAM 实现了整体比例误差评估,得到的斜率为 1.01。本研究证实了所提出的 NIR 分析方法适用于测定冻干脑膜炎球菌疫苗的水分含量。此外,对整体比例误差的评估证实,NIR 分析方法可用于准确估计水分含量的差异,从而优于参考方法,成为确定批内或批间变异性以及稳定性的首选方法。