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用于测定药物粉末流动特性的实时锥形生长模型

Real-Time Cone-Growth Model for Determination of Pharmaceutical Powder Flow Properties.

作者信息

Farkas Gyula, Nagy Sándor, Dévay Attila, Széchenyi Aleksandar, Pál Szilárd

机构信息

Institute of Pharmaceutical Technology and Biopharmacy, University of Pécs, Rókus Str. 2, H-7624 Pécs, Hungary.

出版信息

Pharmaceutics. 2024 Mar 15;16(3):405. doi: 10.3390/pharmaceutics16030405.

DOI:10.3390/pharmaceutics16030405
PMID:38543299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10975447/
Abstract

The flow properties of pellets or granules are crucial for further processing drug dosage forms. Optimal compression or filling of multiparticulate dosage forms into capsules is influenced by forces between discrete particles, which could be partially characterized by flow properties. Several techniques have been developed to examine flowability, including static and dynamic methods applying empirical studies and up-to-date chaos theory; however, the newest methods seem only to be powerful with the supplementation of empirical principles. Our experiments try to refine both the technique of analysis and the methods, by finding new, alternative ways. Our approach to the flowability measurements was to set up a dynamic time-dependent model that combined empirical observations and chaos theory on a geometrical basis, thus finding new characteristics regarding the flow properties of pellets and granules that could be relevant for drug developers. Our findings indicate that sphericity and particle size are the most significant factors influencing the flowability of pharmaceutical multiparticular preparations. Furthermore, this study confirms that integrating chaos theory and empirical observations in a time-dependent dynamic model provides a comprehensive understanding of particle flow behavior, pivotal for optimizing manufacturing processes.

摘要

丸剂或颗粒剂的流动特性对于药物剂型的进一步加工至关重要。多颗粒剂型向胶囊中的最佳压片或填充受到离散颗粒间作用力的影响,这些作用力可部分通过流动特性来表征。已开发出多种技术来检测流动性,包括应用实证研究和最新混沌理论的静态和动态方法;然而,最新方法似乎只有在补充实证原理时才有效。我们的实验试图通过寻找新的替代方法来完善分析技术和方法。我们进行流动性测量的方法是建立一个动态的时间相关模型,该模型在几何基础上结合了实证观察和混沌理论,从而发现与丸剂和颗粒剂流动特性相关的新特征,这些特征可能对药物研发人员有重要意义。我们的研究结果表明,球形度和粒径是影响药物多颗粒制剂流动性的最重要因素。此外,本研究证实,在时间相关的动态模型中整合混沌理论和实证观察,能够全面理解颗粒的流动行为,这对于优化制造工艺至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/3b9e61a51722/pharmaceutics-16-00405-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/b4c93bccc84c/pharmaceutics-16-00405-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/2d95a64eeb54/pharmaceutics-16-00405-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/bb86865cb1f0/pharmaceutics-16-00405-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/d87a12b03c64/pharmaceutics-16-00405-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/719c6fab4070/pharmaceutics-16-00405-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/9c1613b44b49/pharmaceutics-16-00405-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/67a300efa4ac/pharmaceutics-16-00405-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/b7f98294c1af/pharmaceutics-16-00405-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/8daad102d2ee/pharmaceutics-16-00405-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/3b9e61a51722/pharmaceutics-16-00405-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/b4c93bccc84c/pharmaceutics-16-00405-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/2d95a64eeb54/pharmaceutics-16-00405-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/bb86865cb1f0/pharmaceutics-16-00405-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/d87a12b03c64/pharmaceutics-16-00405-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/719c6fab4070/pharmaceutics-16-00405-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/9c1613b44b49/pharmaceutics-16-00405-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/67a300efa4ac/pharmaceutics-16-00405-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/b7f98294c1af/pharmaceutics-16-00405-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/8daad102d2ee/pharmaceutics-16-00405-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ed/10975447/3b9e61a51722/pharmaceutics-16-00405-g010.jpg

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本文引用的文献

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