Instituto de Química Rosario (IQUIR, CONICET-UNR) and Área Análisis de Medicamentos, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, Rosario (S2002LRK), Argentina.
Instituto de Química Rosario (IQUIR, CONICET-UNR) and Área Análisis de Medicamentos, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, Rosario (S2002LRK), Argentina.
J Pharm Biomed Anal. 2018 Jan 5;147:538-564. doi: 10.1016/j.jpba.2017.06.017. Epub 2017 Jun 15.
The understanding of materials and processes is a requirement when it comes to build quality into pharmaceutical products. This can be achieved through the development of rapid, efficient and versatile analytical methods able to perform qualification or quantification tasks along the manufacturing and control process. Process monitoring, capable of providing reliable real-time insights into the processes performance during the manufacturing of solid dosage forms, are the key to improve such understanding. In response to these demands, in recent times multivariate chemometrics algorithms have been increasingly associated to different analytical techniques, mainly vibrational spectroscopies [Raman, mid-infrared (MIR), near-infrared (NIR)], but also ultraviolet-visible (UV-vis) spectroscopy, X-ray powder diffraction and other methodologies. The resulting associations have been applied to the characterization and evaluation of different aspects of pharmaceutical materials at the solid state. This review examines the different scenarios where these methodological marriages have been successful. The list of analytical problems and regulatory demands solved by chemometrics analysis of solid-state multivariate data covers the whole manufacturing and control processes of both, active pharmaceutical ingredients in bulk and in their drug products. Hence, these combinations have found use in monitoring the crystallization processes of drugs and supramolecular drug associations (co-crystals, co-amorphous and salts), to access the correct crystal morphology, particle size, solubility and dissolution properties. In addition, they have been applied to identify and quantitate specific compounds, mainly active pharmaceutical ingredients in complex solid state mixtures. This included drug stability against different stimuli, solid-state transformations, or detection of adulterated or fraudulent medicines. The use of chemometrics-assisted analytical methods as part of the modern concept of process analytical technology, where every process step of every product batch from raw materials to final product must take place in a controlled manner is discussed. Finally, but no less important, the application of chemometrics methods to chemical imaging, aiming to extract spatial and compositional information is also revised.
当涉及到将质量构建到药物产品中时,对材料和工艺的理解是必不可少的。这可以通过开发快速、高效和多功能的分析方法来实现,这些方法能够在制造和控制过程中执行定性或定量任务。过程监测能够提供有关固体制剂制造过程中性能的可靠实时见解,是提高这种理解的关键。为了满足这些需求,最近多变量化学计量学算法越来越多地与不同的分析技术相关联,主要是振动光谱学(拉曼、中红外(MIR)、近红外(NIR)),但也包括紫外可见(UV-vis)光谱学、X 射线粉末衍射和其他方法。由此产生的关联已应用于药物材料在固态下的不同方面的特性和评估。这篇综述考察了这些方法结合成功的不同情况。通过对固态多变量数据的化学计量学分析解决的分析问题和法规要求的清单涵盖了活性药物成分在散装和药物产品中的整个制造和控制过程。因此,这些组合已用于监测药物和超分子药物组合(共晶、共无定形物和盐)的结晶过程,以获得正确的晶体形态、粒径、溶解度和溶解性能。此外,它们还被应用于识别和定量特定化合物,主要是复杂固态混合物中的活性药物成分。这包括药物对不同刺激、固态转化或掺假或假冒药物的稳定性。讨论了将化学计量学辅助分析方法作为现代过程分析技术概念的一部分的应用,其中每个产品批次的每个过程步骤,从原材料到最终产品,都必须以受控的方式进行。最后,但同样重要的是,还审查了化学计量学方法在化学成像中的应用,旨在提取空间和组成信息。