Ltq xl
The LTQ XL is a linear ion trap mass spectrometer designed for high-performance liquid chromatography (HPLC) applications. It provides accurate mass measurement and high sensitivity for a wide range of analytes. The LTQ XL is capable of performing advanced tandem mass spectrometry (MS/MS) experiments to facilitate compound identification and quantification.
Lab products found in correlation
192 protocols using ltq xl
Quantitative Assessment of Phenolic Compounds
Hydrolysis and Conjugation of Cycloamphilectene Amine
Mass Spectrometry Detection Protocol
Analytical Characterization of SDRPL Formulation
Solubility Study of SDRPL
The thermodynamic solubility of RMP and SDRPLs was individually studied by adding an excess amount into distilled water in sealed glass vials at 25°C and shaken in shaker water bath (EQUITRON®, Mumbai, India) for 1 h. The obtained dispersion was centrifuged at 1200 rpm for 5 min and analyzed the samples by LCMS (Thermo Scientific, LTQ XL, Germany) as previously described. All experiments were carried out in triplicate.
ESI-MS/MS Analysis of F2 Fraction
LC-MS/MS-based Metabolite Analysis
LC-MS Identification of Bioactive Compounds
Proteomic Analysis of Endothelial Cells
Metabolite Profiling of TBM and MET by ESI-MS/MS
of TBM and MET produced during biodegradation were
determined by ESI-MS/MS (Model: LTQXL-Thermo Electron Corporation).
The samples were extracted with methylene dichloride twice, dissolved
in acetonitrile (LC–MS grade purity) and filtered through a
poly(tetrafluoroethylene) (PTFE) membrane syringe filter (0.45 μm)
before injecting them using a direct syringe pump to the mass spectrometer.
The analysis of TBM and MET metabolites was done using mass spectrometry
at a normal mass range from m/z 50
to 1000, and the mass spectra were recorded using electrospray ionization
(ESI) probe in both positive and negative ion modes. The system was
run on full scan as well as ion isolation mode to conduct selective
ion monitoring (SIM). Further tandem mass spectrometry was conducted
using various energies, ranging from 10 to 45 mV. The data obtained
was processed using X-calibur software. The chemical structures (parent
and daughter ion peaks) were drawn using ChemBioDraw Ultra 8.0 software.
The compounds were identified by manually correlating their finger
print fragmentation patterns with reference standards and published
data.
Fungal Antioxidant Compounds Profiling
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