Channels

 

Special Offers & Promotions

 

 

Latest News

 

 

View Channel

New Products

 

 

View Channel

Video Presentations

 

 

View Channel

Separation Science

 

 

View Channel

Microscopy & Image Analysis

 

 

View Channel

Laboratory Automation & IT Solutions

 

 

View Channel

 

Malvern Releases New Guidance on the use of Automated Imaging for Agglomerate Detection

publication date: Dec 31, 2014
 | 
author/source: Malvern Instruments Ltd

custom/MAL JOB 2884

Malvern Instruments has released new guidance on using automated image analysis to detect and quantify agglomerates.

The ability of uncontrolled agglomeration to substantially impact the performance and value of powder products makes efficient agglomerate detection vital across a number of industries. ‘Identification of agglomerates using automated image analysis’ presents practical strategies for efficiently and robustly differentiating agglomerates from primary particles, to support product development, QC and process troubleshooting. To view the application note, go to http://www.malvern.com/identifying-agglomerates.

Agglomerates are formed through the adhesion or cohesion of smaller primary particles. They can have serious implications for product performance, value and, in the case of pharmaceutical products, safety. Any tendency towards agglomeration must therefore be thoroughly investigated during product development, controlled during manufacture and checked in final product QC.

Automated imaging is a fast and efficient technique for studying the morphological characteristics of particulate materials. The new guidance shows how the combination of size and shape data can be used to securely classify particles as agglomerates, enabling the amount of agglomerated material present in a blend to be quantified. In particular, shape parameters such as particle convexity and circularity are shown to be important in differentiating primary particles and agglomerates.

Malvern’s Sysmex FPIA 3000 and Morphologi G3 image analysis-based particle characterization systems employ advanced optics to record and analyze images of thousands of particles within suspensions, emulsions and dry powders in a matter of minutes. The Morphologi G3-ID extends the capabilities of image analysis by applying the technique of Morphologically Directed Raman Spectroscopy to enable the chemical identification of multi-component agglomerates that cannot be reliably classified on the basis of size and shape alone. Together, these automated imaging systems provide an efficient solution for robust agglomeration detection.


more about malvern instruments


more news from malvern instruments




 

Subscribe to any of our newsletters for the latest on new laboratory products, industry news, case studies and much more!

Newsletters from Lab Bulletin

 

Request your free copies HERE

 

 

 

Popular this Month

Top 10 most popular articles this month

 

 

Today's Picks

 


 

Looking for a Supplier?

Search by company or by product

 


Company Name:

Product:


 

 

 

 

Please note Lab Bulletin does not sell, supply any of the products featured on this website. If you have an enquiry, please use the contact form below the article or company profile and we will send your request to the supplier so that they can contact you directly.

Lab Bulletin is published by newleaf marketing communications ltd.


 

Media Partners

 

Exhibitions & Events