A precise prediction method for the properties of API-containing tablets based on data from placebo tablets

Yoshihiro Hayashi, Kaede Shirotori, Atsushi Kosugi, Shungo Kumada, Kok Hoong Leong, Kotaro Okada, Yoshinori Onuki

Research output: Contribution to journalArticle

Abstract

We previously reported a novel method for the precise prediction of tablet properties (e.g., tensile strength (TS)) using a small number of experimental data. The key technique of this method is to compensate for the lack of experimental data by using data of placebo tablets collected in a database. This study provides further technical knowledge to discuss the usefulness of this prediction method. Placebo tablets consisting of microcrystalline cellulose, lactose, and cornstarch were prepared using the design of an experimental method, and their TS and disintegration time (DT) were measured. The response surfaces representing the relationship between the formulation and the tablet properties were then created. This study investigated tablets containing four different active pharmaceutical ingredients (APIs) with a drug load ranging from 20–60%. Overall, the TS of API-containing tablets could be precisely predicted by this method, while the prediction accuracy of the DT was much lower than that of the TS. These results suggested that the mode of action of APIs on the DT was more complicated than that on the TS. Our prediction method could be valuable for the development of tablet formulations.

Original languageEnglish
Article number601
Pages (from-to)1-13
Number of pages13
JournalPharmaceutics
Volume12
Issue number7
DOIs
Publication statusPublished - Jul 2020

All Science Journal Classification (ASJC) codes

  • Pharmaceutical Science

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    Hayashi, Y., Shirotori, K., Kosugi, A., Kumada, S., Leong, K. H., Okada, K., & Onuki, Y. (2020). A precise prediction method for the properties of API-containing tablets based on data from placebo tablets. Pharmaceutics, 12(7), 1-13. [601]. https://doi.org/10.3390/pharmaceutics12070601