Purency GmbH

We provide data analysis solutions to laboratories enabling fast, scalable and unbiased analysis of microplastics to protect the consumers and the environment.
Purency is an Austrian software company that bundled years of research and expertise in chemical engineering and data analysis in their software solutions for vibrational spectroscopy. The Microplastics Finder, Purency’s flagship product, is a powerful tool based on machine learning that provides a robust and reliable solution to laboratories that analyse microplastics. Laboratories are enabled to recognize type, size and quantity of microplastic particles within minutes – even in complex samples. Purency is actively involved in the harmonization and standardization process of microplastics analysis, deeply connected in the international microplastics community and seeks to provide cutting-edge solutions for the data analysis of microplastics. The enormous amounts of complex data that are produced during the measurement process need a reliable, robust and scalable method of analysis. Conventional methods of data analysis are often slow and produce unreliable and incomparable results. With the help of machine learning, there is no trade- off between speed and analytical quality. Thus, together with laboratories around the world we make microplastics visible.

Purency GmbH

Walfischgasse 8/34
1010 Wien, Österreich
Your Contact
Michael Stibi
Managing Director

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Purency GmbH

The Microplastics Finder is a software that uses machine learning algorithms to automate the data analysis of microplastics measurements. It recognises the type, number and size of the particles. Large volumes of data are analysed fast.

 

Microplastics Finder
The Microplastics Finder is a software that uses machine learning algorithms to automate the data analysis of microplastics measurements. It recognises the type, number and size of the particles. Large volumes of data are analysed fast.
Microplastics can be found in any part of an environmental or nutritional sample. Today, FPA-based FTIR imaging allows a whole sample to be measured quickly. However, to analyse the measurement data, a powerful tool is needed to reliably identify the polymer particles contained in the sample. The analysis must provide objective, complete and robust results, which are presented in detail and transparently. The Microplastics Finder uses machine learning algorithms that identify more than 20 polymer types within minutes. In combination with FTIR imaging, it offers the fastest method to examine an entire sample for microplastics. Thanks to automation, which does not require time-consuming manual post-processing, the analysis results are optimally comparable and reproducible. Microplastics analysis becomes scalable and new types of questions about the presence and origin of microplastics can be answered.
   
Walfischgasse 8/34
1010 Wien, Österreich
Contact to your Solution
Marcel Gössl
Marketing & Sales