LC-MS experiments were carried out in both EI and negative-ion CI modes.

We present a method for peptide and protein identification based on LC-MS profiling.

Different degrees of matrix effect were observed for all analytes in the LC-MS-MS analysis.

Our study describes a quantitative LC-MS approach for characterizing dysregulated lipid metabolism in ESCC.

To determine the 5-FU degradation pathway, the organic byproducts were identified by LC-MS analysis.

Tandem LC-MS revealed that the 7KC esters contained primarily saturated and monounsaturated fatty acids.

A total of 88 metabolites detected by LC-MS were included in the metabolome analysis.

Matrix effects associated with analysis of these extracts using the developed LC-MS method were assessed.

Accordingly, meaningful qualitative and quantitative information can be obtained in LC-MS by data mining processes.

One laboratory used LC-MS-MS as their primary detection method.

The ESI-LC-MS analysis of the extract revealed the presence of wide range of secondary metabolites.

By following bacterial growth and conducting LC-MS-based assays we show here that YdgR facilitates Cam uptake.

We performed quantitative LC-MS to assess the differential protein expression profiles of senescent glomeruli and tubules.

After 60 days of storage at room temperature, the wines were analysed using an untargeted LC-MS method.

Here we report an LC-MS method to accurately measure the stoichiometry of Akt phosphorylation in biological samples.

However, the LC-MS analysis indicated that the target compound was only a minor component in the reaction mixture.