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MB Sample ID: SA358121
| Local Sample ID: | QC1 |
| Subject ID: | SU003421 |
| Subject Type: | Mammal |
| Subject Species: | Mus musculus |
| Taxonomy ID: | 10090 |
| Gender: | Male |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN005407 |
|---|---|
| Analysis type | MS |
| Chromatography type | Reversed phase |
| Chromatography system | Thermo Vanquish |
| Column | Thermo Hypersil GOLD aQ (100 x 2.1mm,1.9um) |
| MS Type | ESI |
| MS instrument type | Orbitrap |
| MS instrument name | Thermo Q Exactive HF-X Orbitrap |
| Ion Mode | NEGATIVE |
| Units | Peak area |
MS:
| MS ID: | MS005134 |
| Analysis ID: | AN005407 |
| Instrument Name: | Thermo Q Exactive HF-X Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | The raw data files generated by UHPLC-MS/MS were processed using the Compound Discoverer 3.1 (CD3.1, ThermoFisher) to perform peak alignment, peak picking, and quantitation for each metabolite. The main parameterswere set as follows: retention time tolerance, 0.2 minutes; actual mass tolerance, 5ppm; signal intensity tolerance, 30%; signal/noise ratio, 3; and minimum intensity, et al. After that, peak intensities were normalized to the total spectral intensity.The normalized data was used to predict the molecular formula based on additive ions, molecular ion peaks and fragment ions. And then peaks were matched with the mzCloud (https://www.mzcloud.org/)，mzVault and MassList database to obtain the accurate qualitative and relative quantitative results.Statistical analyses were performed using the statistical software R (R version R-3.4.3),Python (Python 2.7.6 version) and CentOS (CentOS release 6.6),When data were not normally distributed, normal transformations were attempted using of area normalization method. |
| Ion Mode: | NEGATIVE |
