Sticking and Picking in Pharmaceutical Tablet Compression: An IQ Consortium Review.

J Pharm Sci

Drug Product Science and Technology, Bristol-Myers Squibb, Reeds Lane, Moreton, CH48 4DU, UK. Electronic address:

Published: September 2018

AI Article Synopsis

Article Abstract

Sticking and picking during tablet manufacture has received increasing interest recently, as it causes tablet defects, downtime in manufacturing, and yield losses. The capricious nature of the problem means that it can appear at any stage of the development cycle, even when it has been deemed as low risk by models, tests, and previous experience. In many cases, the problem manifests when transferring the process from one manufacturing site to another. Site transfers are more common now than in previous times because of the multinational nature of drug product manufacturing and the need for redundancy in manufacturing networks. Sticking is a multifactorial problem, so one single "fix" is unlikely to solve it completely, and "solutions" addressing one problem may exacerbate another. A broad-based strategy involving the API, formulation, tablet tooling, and the manufacturing process is the most likely approach to provide a robust and lasting solution. When faced with a sticking problem for the first or subsequent time, the formulator should address, in a structured way, a range of possible causes and remedies. In this article, we focus on current research and practice; on some of the common causes of sticking; mitigation and resolution strategies and solutions; and possible future directions in research.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.xphs.2018.04.029DOI Listing

Publication Analysis

Top Keywords

sticking picking
8
sticking
5
manufacturing
5
problem
5
picking pharmaceutical
4
tablet
4
pharmaceutical tablet
4
tablet compression
4
compression consortium
4
consortium review
4

Similar Publications

Active inference is a theory of perception, learning, and decision making that can be applied to neuroscience, robotics, psychology, and machine learning. Recently, intensive research has been taking place to scale up this framework using Monte Carlo tree search and deep learning. The goal of this activity is to solve more complicated tasks using deep active inference.

View Article and Find Full Text PDF

Non-aversive handling and training techniques for laboratory animals are required to facilitate experimental and routine husbandry procedures, improving both animal welfare and scientific quality. Clicker training was utilized to develop training protocols for rabbits to refine stressful routine husbandry procedures usually associated with lifting (i.e.

View Article and Find Full Text PDF

Use of loss reduction practices are critical to ensuring losses are reduced significantly along the value chain. This necessitates for the need to assess the factors that influence adoption of the loss reductio practices to have better targeting and development. Therefore, the current study assessed the factors that influence adoption, and multistage sampling technique was employed.

View Article and Find Full Text PDF

In the long history of investigation of herbal products, microscopic examination has greatly contributed to the authentication of herbs in a powder form. However, it cannot provide the chemical profiles of herbal powders and thus is limited to morphological identification. In this work, we present a label-free and automatic approach for the characterization and identification of single herbal powders and their adulterants, enabled through the combination of microscopy-guided auto-sampling and matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS).

View Article and Find Full Text PDF

Exploiting Robot Hand Compliance and Environmental Constraints for Edge Grasps.

Front Robot AI

December 2019

Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.

This paper presents a method to grasp objects that cannot be picked directly from a table, using a soft, underactuated hand. These grasps are achieved by dragging the object to the edge of a table, and grasping it from the protruding part, performing so-called grasps. This type of approach, which uses the environment to facilitate the grasp, is named Environmental Constraint Exploitation (ECE), and has been shown to improve the robustness of grasps while reducing the planning effort.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!