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Waters Collaborates With IonSense on Direct Analysis for Mass Detection
Product News

Waters Collaborates With IonSense on Direct Analysis for Mass Detection

Waters Collaborates With IonSense on Direct Analysis for Mass Detection
Product News

Waters Collaborates With IonSense on Direct Analysis for Mass Detection


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Waters Corporation has announced a collaborative engagement with IonSense to interface the compact Waters® ACQUITY® QDa® Mass Detector with the IonSense® DART® ionization source. The combination of the two products will enable the rapid generation of mass data directly from liquid or solid samples with little or no sample preparation and is expected to be a valuable tool for medicinal chemists monitoring reactions, forensic investigators, product quality groups and for many other applications.

“Since its introduction in 2013, the QDa detector has brought the benefits of high-quality mass spectral information to a broad spectrum of applications in a number of industries,” said Gary Harland, Senior Director, Mass Spectrometry Product Management, Waters Corporation. “Our collaborative engagement with IonSense promises to make mass spectral data accessible to even more customers and markets.”

About DART Technology

DART (Direct Analysis in Real Time) is an open air ionization source for rapid, non-contact surface sampling of compounds with minimal sample prep requirements. The source enables near instantaneous determination of sample composition after thermal desorption of the sample at different temperatures for a more complete analysis.

DART is a versatile method for rapidly detecting hundreds of chemicals, including pharmaceuticals and their metabolites, synthetic organic molecules, organometallics, explosives and toxins. The method permits detection of these chemicals on a wide variety of surfaces including concrete, asphalt, human skin, currency, paper stock, vegetables, fruit, and even clothing making it ideal for applications in the emerging fields of homeland security, product fraud and contaminant detection.

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