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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
Download this Study
- 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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this Study
- 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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