Used WATERS / MICROMASS ZQ 2000 #9109215 for sale

WATERS / MICROMASS ZQ 2000
ID: 9109215
LC Mass spectrometers.
WATERS / MICROMASS ZQ 2000 is a state-of-the-art mass spectrometer designed for both qualitative and quantitative analysis. It is capable of performing high-resolution accurate mass measurements and is ideal for diverse applications from routine to advanced life science research. WATERS ZQ 2000 is based on the Quattro Premier technology, delivering the highest levels of performance and reliability. It features the patent-pending production source which ensures a stable, inert environment at the sample ionization source. This source is capable of generating ions from samples such as proteins, lipids, carbohydrates, nucleic acids, and researchers seeking to analyze organics compounds. MICROMASS ZQ 2000 offers a range of features including automated sample preparation with an integrated autosampler, data acquisition and processing with an easy to use software interface, and sample control. It offers a variety of detection modes to accommodate applications such as Selected Ion Monitoring (SIM), Multiple Reaction Monitoring (MRM), and Full-Scan. The excellent orthogonal acceleration TOF (Time-of-Flight) design of ZQ 2000 allows for a fast scan speed and superior resolution. It also offers a range of optional depth of interrogation and achievable accuracy. The ability to process and analyze large amounts of data provides the possibility of performing multiple quantitative analyses with minimal delay. WATERS / MICROMASS ZQ 2000 also features data mining capabilities and advanced reporting functions. Its customizable reports allow users to conveniently compile and manage experimental results. This makes WATERS ZQ 2000 ideal for heterogeneous applications that require complex data handling and analysis. Overall, MICROMASS ZQ 2000 is a powerful instrument capable of delivering precise and accurate results. With its excellent detection performance and automated functions, it provides researchers with the capability to continually improve their data analysis and reporting.
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