• New Immunoassay Kits for use on High-Throughput Platform Launched

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New Immunoassay Kits for use on High-Throughput Platform Launched

Merck Millipore, the Life Science division of Merck, today announced the release of five new immunoassay kits designed specifically for use on the Gyrolab™ workstation. The new, fully qualified GyroMark™ HT kits from Merck Millipore will enable clinical researchers and drug developers to generate valuable research data much faster than typical ELISA kits.

Traditional ELISAs can consume significant time, sample and reagents. With the fully automated, walk-away system from Gyros, approximately 500 samples can be analysed within four hours.

"Our collaboration with Gyros will fill a commercial need to provide immunoassay kits requiring only nanolitre sample volume on a truly high-throughput platform," said Jehangir Mistry, PhD, General Manager, Multiplex & Immunoassays at Merck Millipore.

The initial launch includes five assays for important metabolic and toxicity biomarkers, such as GLP-1, Insulin, Clusterin and KIM-1. Merck Millipore plans to release additional kits this year, and is offering custom kits for companies with specific needs or unique or novel antibodies.

Because the Gyrolab™ platform employs microfluidic technology with parallel processing, it offers many advantages over traditional assays in addition to reagent and time savings. GyroMark™ HT assays provide accuracy over a four-log dynamic range (compared to two logs for ELISAs), elimination of cross-talk and plate position artifacts, and simplified sample prep (only 1:2 dilution necessary) with reduced matrix interference.

Gyros' Global Marketing Director Maria Hjortsmark commented: "The Gyrolab™ platform revolutionises immunoassays, enabling scientists to analyse large numbers of samples in parallel, at nanolitre scale and using a fully automated system. We are delighted that Merck Millipore has chosen to work with us to develop off-the-shelf kits, to further reduce time to results that will free up analyst time, and offering an easier route to robust, reproducible data."


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