Handling uncertainty in the establishment of a design space for the manufacture of a pharmaceutical product

被引:69
作者
Garcia-Munoz, Salvador [1 ]
Dolph, Stephanie [1 ]
Ward, Howard W., II [1 ]
机构
[1] Pfizer Global Res & Dev, Groton, CT 06340 USA
关键词
Design space; Quality by Design; Latent variable methods; Uncertainty; Pharmaceuticals; Partial least squares; PARTIAL LEAST-SQUARES; NEAR-INFRARED SPECTROSCOPY; BATCH OPERATING POLICIES; WET GRANULATION; INDUSTRIAL APPLICATIONS; DYNAMIC OPTIMIZATION; SEMIBATCH REACTORS; MODELS;
D O I
10.1016/j.compchemeng.2010.02.027
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Recent trends in the pharmaceutical sector are changing the way processes are designed and executed, moving from: allowing the process to operate in a fixed point, to allowing a permissible region in the operating space (a.k.a. design-space) This trend is driving product development to design quality into the manufacturing process (Quality by Design) and not to rely solely on testing quality in the product These changes address the presence of uncertainties entering the process and their negative effect on product quality if the operating conditions are not free to compensate for these disturbances. This work provides a review of methods to address the presence of these uncertainties, ranging from the establishment of multivariate specifications for incoming product, to feed-forward process control. It also presents the development of a feed-forward controller to compensate the process for the observed changes in the properties of the incoming material. The development and testing of this controller is illustrated with a wet-granulation process. The performance of the multiple control strategies is back-propagated to the changes in the acceptance regions for the raw materials Ultimately, the controller and its model are used to define an integrated design-space that accounts for the network of complex relationships between materials, process conditions and product. This work proposes and demonstrates that the use of mathematics is the only way to reach the maximum potential of the Quality by Design by providing a tool to specify an integral Design Space. (C) 2010 Elsevier Ltd All rights reserved
引用
收藏
页码:1098 / 1107
页数:10
相关论文
共 36 条
[1]  
[Anonymous], 2000, PROCESS CONTROL DESI
[2]   Empirical to mechanistic modelling in high shear granulation [J].
Björn, IN ;
Jansson, A ;
Karlsson, M ;
Folestad, S ;
Rasmuson, A .
CHEMICAL ENGINEERING SCIENCE, 2005, 60 (14) :3795-3803
[3]  
BONVIN D, 2001, ADV PROC CONTR S ISA
[4]  
Bruwer MJ, 2008, J PHARM INNOV, V3, P15
[5]   Latent variable multivariate regression modeling [J].
Burnham, AJ ;
MacGregor, JF ;
Viveros, R .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1999, 48 (02) :167-180
[6]   Optimization of molecular-weight distribution using batch-to-batch adjustments [J].
Clarke-Pringle, TL ;
MacGregor, JF .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1998, 37 (09) :3660-3669
[7]   Establishing multivariate specification regions for incoming materials [J].
Duchesne, C ;
Macgregor, JF .
JOURNAL OF QUALITY TECHNOLOGY, 2004, 36 (01) :78-94
[8]   Latent variable MPC for trajectory tracking in batch processes [J].
Flores-Cerrillo, J ;
MacGregor, JF .
JOURNAL OF PROCESS CONTROL, 2005, 15 (06) :651-663
[9]   Within-batch and batch-to-batch inferential-adaptive control of semibatch reactors: A partial least squares approach [J].
Flores-Cerrillo, J ;
MacGregor, JF .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2003, 42 (14) :3334-3345
[10]   Control of particle size distributions in emulsion semibatch polymerization using mid-course correction policies [J].
Flores-Cerrillo, J ;
MacGregor, JF .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2002, 41 (07) :1805-1814