Sentence examples for mass spectrometric features from inspiring English sources

The electrochemical behavior and mass spectrometric features for ethanol reactions on nanostructured mesoporous platinum catalysts (MPPt) in 0.5 M H2SO4 were studied for the first time as function of the alcohol concentration.

High-resolution LC/MS analyses of lipophilic and secondary metabolites resulted in the consistent monitoring of 2,804 and 910 mass spectrometric features (afterwards analytes) comprising 726 and 461 non-redundant peaks (T/S clusters, Text S1).

Here we describe results for the subcellular distribution of 1,117 polar and 2,804 lipophilic mass spectrometric features associated to known and unknown compounds from leaves of the model plant Arabidopsis thaliana.

After deisotoping and calculating monoisotopic mass, mass spectrometric features were matched to database peptides with a mass tolerance window of +/−6ppm and an elution time window of +/−0.1% after alignment in both dimensions.

For these techniques, homoscedasticity, as well as symmetry and a normal distribution of the variance, is more important than the correct quantitative ratios between mass spectrometric features, so it is common to either scale or transform the peak intensities prior to the calculation [ 29].

In the chromatograms of extracts, the peak identity and purity were determined on the basis of their chromatographic behaviors, UV vis spectra and characteristic mass spectrometric fragmentation features.

Protein features chosen for mass spectrometric analysis were excised from the gels and manually in-gel digested with trypsin following the protocol defined by Shevchenko [15].

The combination of mass spectrometric analysis and subsequent SVM-based feature selection represents a promising tool for the development of a non-invasive prediction system.

Extensive RNA-pathway analysis based on mass spectrometric analysis of metabolites and subsequent bioinformatic feature selection allowed for the identification of significant metabolic features related to breast cancer pathogenesis.

Using a benzamindine affinity resin, we extracted FSPs and characterised them by mass spectrometric analysis of proteolysed components in gel electrophoresis features and identified several human enzymes including amylase, elastase, carboxypeptidase and trypsin.

This structural feature was predicted by previous mass spectrometric and enzymatic analyses to be unique to the kidney hGGT1 pool examined in this study, providing validity to the differential ALSA binding pattern.