Process analytical technology case study, part III: Calibration monitoring and transfer

被引:34
作者
Cogdill R.P. [1 ]
Anderson C.A. [1 ]
Drennen III J.K. [1 ]
机构
[1] Duquesne University, Center for Pharmaceutical Technology, Pittsburgh, PA
关键词
Calibration transfer; Near-infrared spectroscopy (NIR); Pharmaceutical analysis; Process analytical technology (PAT); Tablet analysis;
D O I
10.1208/pt060239
中图分类号
学科分类号
摘要
This is the third of a series of articles detailing the development of near-infrared spectroscopy methods for solid dosage form analysis. Experiments were conducted at the Duquesne University Center for Pharmaceutical Technology to develop a system for continuous calibration monitoring and formulate an appropriate strategy for calibration transfer. Indicators of high-flux noise (noise factor level) and wavelength uncertainty were developed. These measurements, in combination with Hotelling's T2 and Q residual, are used to continuously monitor instrument performance and model relevance. Four calibration transfer techniques were compared. Three established techniques, finite impulse response filtering, generalized least squares weighting, and piecewise direct standardization were evaluated. A fourth technique, baseline subtraction, was the most effective for calibration transfer. Using as few as 15 transfer samples, predictive capability of the analytical method was maintained across multiple instruments and major instrument maintenance. Copyright ©2003. All Rights Reserved.
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页数:18
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共 27 条
[1]  
Cogdill R.P., Anderson C.A., Delgado-Lopez M., Process Analytical Technology Case Study, Part I: Feasibility Studies for Quantitative NIR Method Development, AAPS PharmSciTech., (2005)
[2]  
Cogdill R.P., Anderson C.A., Delgado-Lopez M., Process Analytical Technology Case Study, Part II: Development and Validation of Quantitative for Tablet API Content and Hardness, AAPS PharmSciTech., (2005)
[3]  
PAT - A Framework for Innovative Manufacturing and Quality Assurance, Draft Guidance, (2003)
[4]  
Box G.E.P., Jenkins G.M., Reinsel G., Time Series Analysis Englewood, (1994)
[5]  
Jackson J.E., Mudholkar G.S., Control procedures for residuals associated with principal components analysis, Technometrics, 21, pp. 341-349, (1979)
[6]  
Williams P., Norris K., Near-Infrared Technology in the Agricultural and Food Industries, (2001)
[7]  
Greensill C.V., Wolfs P.J., Speigelman C.H., Walsh K.B., Calibration transfer between PDA-based spectrometers in the NIR assessment of melon soluble solids content, J. Appl. Spectrosc., 55, pp. 647-653, (2001)
[8]  
Fearn T., Standardisation and calibration transfer for near ilnfrared instruments: A review, J. Near. Infrared Spectrosc., 9, pp. 229-244, (2001)
[9]  
Zeaiter M., Roger J.M., Bellon-Maurel V., Rutledge D.N., Robustness of models developed by multivariate calibration. Part I: The assessment of robustness, Trends Analyt Chem., 23, pp. 157-170, (2004)
[10]  
Fearn T., On orthogonal signal correction, Chemom Intell. Lab. Syst., 50, pp. 47-52, (2000)