title: Multivariate analysis approach for correlations between material properties and tablet tensile strength of microcrystalline cellulose.
abstract: In this study we applied statistical multivariate analysis techniques to establish correlations between material properties and tablet tensile strength (TS) of microcrystalline cellulose (MCC) with different types and manufacturers. There were sixteen MCC samples included in this analysis described by 22 material parameters. For data analysis, principal component analysis (PCA) was used to model and evaluate the various relationships between the material properties and TS. Furthermore, partial least squares regression (PLS) analysis was performed to quantify the relationships between the material properties and TS and to predict the most influential MCC parameters contributing to the compactibility. The results showed that the moisture content, hygroscopicity and crystallinity did not exhibit significant impact on TS. The turgidity, maximum water uptake, degree of polymerization and molecular weight presented a strong positive influence on TS, while the density property, bulk and tap density, exhibited an obvious negative impact. The present work demonstrated that multivariate data analysis techniques (PCA and PLS) are useful for interpreting complex relations between 22 material properties and the tabletting properties of MCC. Furthermore, the method can be used for material classification.
authors.affiliation: Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, China.
authors.forename: Zhenggen
authors.initials: Z
authors.lastname: Liao
authors.forename: Nan
authors.initials: N
authors.lastname: Zhang
authors.forename: Guowei
authors.initials: G
authors.lastname: Zhao
authors.forename: Jing
authors.initials: J
authors.lastname: Zhang
authors.forename: Xinli
authors.initials: X
authors.lastname: Liang
authors.forename: Shaojin
authors.initials: S
authors.lastname: Zhong
authors.forename: Guangfa
authors.initials: G
authors.lastname: Wang
authors.forename: Xulong
authors.initials: X
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D002482:Cellulose / Q000737:chemistry*; D003460:Crystallization; D004339:Drug Compounding; D005079:Excipients; D006245:Hardness Tests; D006813:Humidity; D016018:Least-Squares Analysis; D008970:Molecular Weight; D015999:Multivariate Analysis; D010316:Particle Size; D016062:Porosity; D025341:Principal Component Analysis; D013499:Surface Properties; D013607:Tablets; D013718:Tensile Strength
chemical_list: D005079:Excipients; D013607:Tablets; D002482:Cellulose; C109691:microcrystalline cellulose