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MB Sample ID: SA242081
| Local Sample ID: | Veh01-03_13_1_1421 |
| Subject ID: | SU002505 |
| Subject Type: | Mammal |
| Subject Species: | Mus musculus |
| Taxonomy ID: | 10090 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003937 |
|---|---|
| Analysis type | MS |
| Chromatography type | Reversed phase |
| Chromatography system | Bruker Elute |
| Column | Hamilton Intensity Solo 2 C18(100 x 2.1 mm, 1.8 um) |
| MS Type | ESI |
| MS instrument type | QTOF |
| MS instrument name | Bruker timsTOF |
| Ion Mode | POSITIVE |
| Units | AU |
MS:
| MS ID: | MS003675 |
| Analysis ID: | AN003937 |
| Instrument Name: | Bruker timsTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | Metabolomics Data Processing. For metabolomic analysis, MetaboScape® 4.0 program (Bruker Daltonics, Billerica, MA, USA) was employed for data processing, feature extrac-tion and metabolite identification. The T-ReX 2D/3D workflow was used to identify the molecular features with the following settings: The minimum peak length was set to 7 spectra and the minimum intensity threshold was 1000 counts for peaks detection. The peak area was employed for quantification and the injected external calibrant in the in-terval of 0–0.3 min was used to recalibrate the mass spectra. The selected mass to charge ratio (m/z) and retention time for scanning were in the ranges of 20–1300 m/z and 0.3–30 min, respectively. MS/MS spectra for features were averaged on import and features found at least in 12 of the 40 injections were taken into further consideration. Metabolites were identified by matching to the human metabolome database (HMDB) by combined MS/MS, precursor m/z values, and isotopic pattern scores. Where multiple features matched a given database entry, the annotation quality score (AQ score) was used to select only the best matching feature. |
| Ion Mode: | POSITIVE |
