Division of Pharmaceutical Analysis, Center for Drug Evaluation and Research, US Food and Drug Administration, 1114 Market St, Room 1002, Saint Louis, MO 63101, USA.
J Pharm Biomed Anal. 2011 Apr 5;54(5):1001-6. doi: 10.1016/j.jpba.2010.11.042. Epub 2010 Dec 8.
Four portable NIR instruments from the same manufacturer that were nominally identical were programmed with a PLS model for the detection of diethylene glycol (DEG) contamination in propylene glycol (PG)-water mixtures. The model was developed on one spectrometer and used on other units after a calibration transfer procedure that used piecewise direct standardization. Although quantitative results were produced, in practice the instrument interface was programmed to report in Pass/Fail mode. The Pass/Fail determinations were made within 10s and were based on a threshold that passed a blank sample with 95% confidence. The detection limit was then established as the concentration at which a sample would fail with 95% confidence. For a 1% DEG threshold one false negative (Type II) and eight false positive (Type I) errors were found in over 500 samples measured. A representative test set produced standard errors of less than 2%. Since the range of diethylene glycol for economically motivated adulteration (EMA) is expected to be above 1%, the sensitivity of field calibrated portable NIR instruments is sufficient to rapidly screen out potentially problematic materials. Following method development, the instruments were shipped to different sites around the country for a collaborative study with a fixed protocol to be carried out by different analysts. NIR spectra of replicate sets of calibration transfer, system suitability and test samples were all processed with the same chemometric model on multiple instruments to determine the overall analytical precision of the method. The combined results collected for all participants were statistically analyzed to determine a limit of detection (2.0% DEG) and limit of quantitation (6.5%) that can be expected for a method distributed to multiple field laboratories.
四台来自同一制造商的便携式近红外仪器在名义上是相同的,它们被编程为使用 PLS 模型来检测丙二醇(PG)-水混合物中的二甘醇(DEG)污染。该模型是在一台光谱仪上开发的,在经过使用分段直接标准化的校准转移程序后,在其他单元上使用。尽管产生了定量结果,但在实践中,仪器接口被编程为以通过/失败模式报告。通过/失败的确定在 10 秒内完成,并基于通过空白样品的置信度为 95%的阈值。然后,检测限被确定为样品以 95%的置信度失败的浓度。对于 1%的 DEG 阈值,在测量的 500 多个样品中发现了一个假阴性(第二类)和八个假阳性(第一类)错误。一个代表性的测试集产生的标准误差小于 2%。由于经济动机掺假(EMA)的二甘醇范围预计高于 1%,因此现场校准的便携式近红外仪器的灵敏度足以快速筛选出潜在的有问题的材料。方法开发后,这些仪器被运往全国各地的不同地点,进行由不同分析师执行的固定协议的协作研究。校准转移、系统适用性和测试样品的重复集的 NIR 光谱都在多台仪器上使用相同的化学计量模型进行处理,以确定该方法的整体分析精度。对所有参与者收集的综合结果进行了统计分析,以确定可以预期分配给多个现场实验室的方法的检测限(2.0% DEG)和定量限(6.5%)。