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Thermo Fisher Scientific Mass Spectrometry Application Notes At IonSource

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Application Notes From Thermo Fisher Scientific

 

  • Quantum Ultra Application Note

    Sulfonamides are a common class of synthetic antimicrobials
    that are widely used in human and veterinary medicine and also as additives in animal feed. They are regarded as emerging environmental contaminants (water, sediment, soil). There are no definitive regulations for LODs of these compounds in the environment, due to lack of knowledge of the fate of such pharmaceutical compounds in waste water. Therefore, sensitive and reliable analytical methods for detection of sulfonamides are needed by environmental laboratories.
    Attached is a new application note from a key environmental laboratory in Europe (The General Chemical State Laboratory, Athens, Greece), for monitoring the following sulfonamides in secondary effluent collected from sewage treatment plants :

    All analytical work was carried out on a Quantum Ultra. Detection limits ranged in the low ppt levels, with excellent linearity between 0.1 to 100 ug/L (r2 0.997-0.999). Dr Botisi (primary author) can be used as a reference

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  • LCQ Fleet Application Note.

    This Application note demonstrates several key performance features of the LCQ Fleet in the analysis of natural product extracts from cinnamon. Identification of multiple polyphenols in a single chromatographic analysis was achieved using the fast cycle time, high MSn sensitivity, PQD and High Resolution Isolation of the LCQ Fleet. In addition, simple data interpretation with Mass Frontier provides confident structural identification.


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  • FAIMS Application Note.

    The study demonstrates the power of implementing FAIMS on ion traps in discovery phase analyses of drugs in the presence of an excess quantity of dosing vehicle. Removal of all PEG 600 components from the full scan, including an isobaric interference at the nominal mass the analyte Loperamide, was achieved using the size- and shape-based separation capabilities of the FAIMS device. The resulting freedom from full-scan chemical noise enabled data-dependant MSn analysis of the API.

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