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模拟平台直接压缩过程中的压实步骤。

Modelling the Compaction Step of a Platform Direct Compression Process.

作者信息

Peddapatla Raghu V G, Slevin Conor, Sheridan Gerard, Beirne Caoimhe, Swaminathan Shrikant, Browning Ivan, O'Reilly Clare, Worku Zelalem A, Egan David, Sheehan Stephen, Crean Abina M

机构信息

SSPC Pharmaceutical Research Centre, School of Pharmacy, University College Cork, T12 K8AF Cork, Ireland.

Alkermes Pharma Ireland Limited, N37 EA09 Athlone, Ireland.

出版信息

Pharmaceutics. 2022 Mar 23;14(4):695. doi: 10.3390/pharmaceutics14040695.

Abstract

The ability to predict formulation behaviour at production scale during formulation design can reduce the time to market and decrease product development costs. However, it is challenging to extrapolate compaction settings for direct compression formulations between tablet press models during scale-up and transfer from R&D to commercial production. The aim of this study was to develop statistical process models to predict tablet tensile strength, porosity and disintegration time from compaction parameters (pre-compression and main compression force, and press speed), for three formulations, with differing deformation characteristics (plastic, brittle and elastic), on three tablet press models (one pilot-scale tablet press (KG RoTab) and two production-scale presses (Fette 1200i and GEA Modul P)). The deformation characteristics of yield pressure and elastic recovery were determined for the model placebo formulations investigated. To facilitate comparison of dwell time settings between tablet press models, the design of experiments (DoE) approach was 9 individual 16-run response surface DoEs (3 formulation × 3 press models), whose results were combined to create a polynomial regression model for each tablet property. These models predicted tablet tensile strength, porosity and disintegration time and enabled the construction of design spaces to produce tablets with specified target properties, for each formulation on each press. The models were successfully validated. This modelling approach provides an understanding of the compaction behaviour of formulations with varying deformation behaviour on development and commercial tablet press models. This understanding can be applied to inform achievable production rates at a commercial scale, during the formulation development.

摘要

在处方设计过程中预测生产规模下的处方行为能力,可缩短上市时间并降低产品开发成本。然而,在放大生产以及从研发转移至商业生产过程中,推断不同压片机型号间直接压片处方的压片参数具有挑战性。本研究的目的是开发统计过程模型,以根据三种具有不同变形特性(塑性、脆性和弹性)的处方,在三种压片机型号(一台中试规模压片机(KG RoTab)和两台生产规模压片机(Fette 1200i和GEA Modul P))上,从压片参数(预压和主压力以及压片速度)预测片剂的抗张强度、孔隙率和崩解时间。测定了所研究的模型安慰剂处方的屈服压力和弹性恢复的变形特性。为便于比较不同压片机型号间的保压时间设置,实验设计(DoE)方法采用了9个单独的16次运行响应面DoE(3种处方×3种压片机型号),其结果被合并以创建每种片剂性质的多项式回归模型。这些模型预测了片剂的抗张强度、孔隙率和崩解时间,并能够构建设计空间,以便在每种压片机上为每种处方生产具有指定目标性质的片剂。这些模型得到了成功验证。这种建模方法有助于理解在研发和商业压片机型号上具有不同变形行为的处方的压片行为。这种理解可应用于在处方开发期间告知商业规模下可实现的生产率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24bb/9027228/475b365aad47/pharmaceutics-14-00695-g001.jpg

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