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Luminata—Recipient of The Analytical Scientist Innovation Awards 2017

Published online at The Analytical Scientist, Dec. 2017.

The Analytical Scientist Innovation Awards (TASIAs) celebrate the "creativity needed to transform colorful concepts into vibrant analytical tools! With a record number of entries, the final 15 reflect the full spectrum of analytical advances, from ingenious software for managing impurity data, to transformative MS imaging technology."1

We are excited to announce the inclusion of Luminata in the 2017 recipient list! Read below for an excerpt from our submission, and view the full list of TASIA recipients online here.

Luminata - Recipient of The Analytical Scientist Innovation Awards 2017

Submission Excerpt

Luminata is an informatics system that enables organizations to establish effective impurity control strategies based on assembled analytical and chemical information, in a single environment.

Built on the multi-technique, vendor-agnostic ACD/Spectrus Platform, Luminata offers comprehensive data standardization accomplished by aggregating chemical reaction information, and the associated formation and fate of impurities, with chromatographic and spectral data. Luminata facilitates efficient organization of the typically overwhelming quantity of analytical knowledge for processes and associated impurities at every stage.

Luminata's assembly of searchable knowledge provides visualization, decision-support, and reporting capabilities; and facilitates collaboration between process chemistry and analytical research and development groups.

Potential impact
The current processes for managing impurity profile information are cumbersome and overwhelming. The sheer quantity of data generated is almost impossible to effectively organize and manage with currently available systems. Many organizations use Excel in an effort to transcribe scattered information from different sources into a single environment, but this is tedious, error-prone, and time consuming.

Luminata allows the multi-disciplinary teams that undertake process development projects to gather all the relevant chemical and analytical information in a single scientific environment. Furthermore, it supports a Quality-by-Design (QbD) approach to establishing effective process and analytical impurity control strategies. The fear of using old data is eliminated with access to live up-to-date information. This assembled data enables collaboration and information sharing in a manner not previously possible.


1'Intense Innovation', The Analytical Scientist, 17-Dec-2017.

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