Methodology for rapid development of a continuous loss-in-weight feeding process.

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Tác giả: João Henriques, João A Lopes, Ana Martins, Cláudia Moura

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Netherlands : International journal of pharmaceutics , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 693295

The pharmaceutical industry has been shifting towards continuous manufacturing, specifically for tablet production. Compared to batch processing, continuous tableting exhibits higher process efficiency, better process control, reduced footprint, and consistent product quality. Understanding mass flow variability and feed factor profile of raw materials in the loss-in-weight feeding process is essential for controlling continuous processes. Current literature has highlighted correlations between material properties and feeding performance. However, research still lacks an assessment of how feeder set-up options impact this performance. This paper aims to fill the existing gap between material properties and feeder output to expedite the process development stage. A selection of commercially available excipients, crystalline APIs, spray-dried excipients, and protein-based excipients (nineteen in total) were characterized in terms of physical properties and rheological behavior. Volumetric feeding trials were conducted in a loss-in-weight feeder to obtain the feeding performance (mass flow RSD and feed factor profile curve). Partial least squares regression demonstrated that feeder performance can be estimated from material density, flowability, cohesion, charge density, and porosity. Additionally, experiments were conducted to assess the impact of feeding set-up options on feeding dynamics, enabling the development of a workflow for set-up and operating range definition. Applying this workflow to five different materials demonstrated sufficient accuracy in defining the feeder set-up parameters when compared to the experimental data results. The developed data-driven approach minimizes both material and time requirements, making it more efficient than a trial-and-error approach, which is essential for accelerating development.
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