Monitoring fluid-bed granulation and milling processes in-line with real-time imaging

I. Jones; Matti Okkonen; A. Greene; P.J. Cullen

Monitoring fluid-bed granulation and milling processes in-line with real-time imaging

I. Jones
, Matti Okkonen
, A. Greene
, P.J. Cullen

Technological University Dublin
UNSW Sydney

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

The pharmaceutical manufacturing platforms of fluid-bed granulation and milling are widely used to modify particle size. However, the adoption of process analytical technology to monitor and control these processes is difficult because of their dynamic nature. This study examines the efficacy of a particle characterizing technology to capture particle images under dynamic conditions and to calculate particle size distribution data both in-line and at-line during fluid-bed granulation and milling.

Original language	English
Pages (from-to)	56-64
Journal	Pharmaceutical Technology
Volume	39
Issue number	3
Publication status	Published - 2015
MoE publication type	A1 Journal article-refereed

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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Cite this

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title = "Monitoring fluid-bed granulation and milling processes in-line with real-time imaging",

abstract = "The pharmaceutical manufacturing platforms of fluid-bed granulation and milling are widely used to modify particle size. However, the adoption of process analytical technology to monitor and control these processes is difficult because of their dynamic nature. This study examines the efficacy of a particle characterizing technology to capture particle images under dynamic conditions and to calculate particle size distribution data both in-line and at-line during fluid-bed granulation and milling.",

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AB - The pharmaceutical manufacturing platforms of fluid-bed granulation and milling are widely used to modify particle size. However, the adoption of process analytical technology to monitor and control these processes is difficult because of their dynamic nature. This study examines the efficacy of a particle characterizing technology to capture particle images under dynamic conditions and to calculate particle size distribution data both in-line and at-line during fluid-bed granulation and milling.

M3 - Article

SN - 1543-2521

VL - 39

SP - 56

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JO - Pharmaceutical Technology

JF - Pharmaceutical Technology

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Monitoring fluid-bed granulation and milling processes in-line with real-time imaging

Abstract

UN SDGs

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