Sentence examples for z measurement from inspiring English sources

High quality spectra may show unidentified peptides in a typical data analysis due to several reasons like smaller number of peptides generated due to improper digestion of protein, inaccurate charge state or precursor ion m/ z measurement, constrained database search parameters, presence of chemical or posttranslational modifications, and incompleteness of the protein sequence database [ 27].

Relevant information such as the elution time from the capillary LC column, the abundance of the signal (integrated area under the peptide peak), and the monoisotopic mass (determined from charge state and the high accuracy m/ z measurement) of each feature observed in the LTQ-Orbitrap was used to match the peptide identifications contained within the AMT tag database.

The primary purpose of the z measurement is to determine the handedness of the helical trajectory, and this is still clear from the data presented in Figures 2. Please clarify that the side-to-side tracking is using centroids and that both black and white images are included.

The particle charge (Z) measurements will be made with a timing-based charge detector and a pixelated silicon charge detector to minimize the effect of backscatter from the calorimeter.

The standard deviations for the m/ z measurements were computed from the multinomial variance.

To overcome this limitation, the m/ z distribution and the total peptide intensities of each scan were fitted to the observed m/ z measurements.

For metabolite structure assignment, accurate m/ z measurements of detected chromatographic peaks were first matched to metabolites from online MS databases (Metlin, HMDB, and Lipidmaps).

A limitation of triple quadrupole instruments is the relatively low resolution of precursor m/ z measurements, which may allow interference from nominally isobaric background contaminants in complex mixtures.

Spectra of the adducted precursor and fragment ions were verified manually, with a requirement of less than 10 ppm error for peptide adduct precursor m/ z measurements.

For this purpose, the cloud plot is directly linked to METLIN, the in-house developed standard database to allow users to interrogate metabolite matches based on accurate m/ z measurements.

A compilation of in-house software was used to convert mass spectrometric data (Thermo ".raw" files) to mzXML format as well as to correct monoisotopic m/ z measurements and erroneous peptide charge state assignments.