Used WATERS Acquity QDa #9288379 for sale

WATERS Acquity QDa
ID: 9288379
Mass detector.
WATERS Acquity QDa is a lab equipment and accessory that is used for the analysis of substances in a laboratory environment. It is a module-based add-on to the existing Acquity UPLC and UPLC-MS systems, allowing enhanced analysis of components in sample solutions. The QDa easily attaches to existing systems, without requiring complicated reconfigurations, and allows for the analysis of various samples and solutions. Acquity QDa uses capillary electrophoresis (CE) to analyze samples. CE is a type of chromatography which separates solutes based on differences in their electrophoretic movement. WATERS Acquity QDa uses an integrated detection equipment to monitor components in a sample. The system includes an electrochemical detector, an indirect UV detector, and a light scattering detector. An added benefit of this unit is that CE requires relatively small amounts of sample in comparison to other methods, making it more efficient. Acquity QDa has various features which help improve the accuracy of analysis. This includes a laser-based sample positioning and injection machine, which automatically injects and positions samples into the channels for increased consistency. Furthermore, the tool has an integrated temperature control feature, allowing for more consistent results in temperature-dependent separations. WATERS Acquity QDa also includes various software programs which help improve the user experience. This includes a software suite which includes WATERS advanced FluorescenceFinder™ software and Advanced Analytical Data Mining. These allow users to quickly and accurately identify unknown samples or analyze data. In conclusion, Acquity QDa is an effective chromatograph and accessory for analyzing various sample solutions in a laboratory setting. The asset integrates a variety of advanced features which make it user friendly and improve accuracy of results. Furthermore, the additional software tools allow users to quickly and accurately identify unknown components, making this model an ideal choice for use in a laboratory setting.
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