SE124:/MS1
Sample Set Information
ID | TSE3 |
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Title | Integrated strategy for unknown EI-MS identification using quality control calibration curve, multivariate analysis, EI-MS spectral database, and retention index prediction |
Description | Compound identification using unknown electron ionization (EI) mass spectra in gas chromatography coupled with mass spectrometry (GC-MS) is challenging in untargeted metabolomics, natural product chemistry, or exposome research. While the total count of EI-MS records included in publicly or commercially available databases is over 900 000, efficient use of this huge database has not been achieved in metabolomics. Therefore, we proposed a "four-step" strategy for the identification of biologically significant metabolites using an integrated cheminformatics approach: (i) quality control calibration curve to reduce background noise, (ii) variable selection by hypothesis testing in principal component analysis for the efficient selection of target peaks, (iii) searching the EI-MS spectral database, and (iv) retention index (RI) filtering in combination with RI predictions. In this study, the new MS-FINDER spectral search engine was developed and utilized for searching EI-MS databases using mass spectral similarity with the evaluation of false discovery rate. Moreover, in silico derivatization software, MetaboloDerivatizer, was developed to calculate the chemical properties of derivative compounds, and all retention indexes in EI-MS databases were predicted using a simple mathematical model. The strategy was showcased in the identification of three novel metabolites (butane-1,2,3-triol, 3-deoxyglucosone, and palatinitol) in Chinese medicine Senkyu for quality assessment, as validated using authentic standard compounds. All tools and curated public EI-MS databases are freely available in the 'Computational MS-based metabolomics' section of the RIKEN PRIMe Web site ( http://prime.psc.riken.jp ). |
Authors | Teruko Matsuo, Hiroshi Tsugawa, Hiromi Miyagawa, Eiichiro Fukusaki |
Reference | Matsuo et al. Analytical Chemistry (2017) 89(12):6766–6773 |
Comment |
The raw data files are available at DROP Met web site in PRIMe database of RIKEN.
Analytical Method Details Information
ID | MS1 |
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Title | EI and GC-MS (Quadrupole) |
Instrument | GCMS-QP2010 Ultra, Shimazu |
Instrument Type | |
Ionization | EI |
Ion Mode | Positive |
Description | Extraction from sample A 10 mg sample of each dried root was weighed and homogenized in a 2-mL Eppendorf tube and 1,000 μL of a single-phase mixture of methanol/water/chloroform (5:2:2, v/v/v) containing an internal standard (ribitol, 0.4 mg/mL H2O) was added for metabolite extraction.The extraction was carried out at room temperature using mixer mills (MM 301, Verder Scientific Co. Ltd., Haan, German) at 20 Hz for 5 min.After centrifugation at 16000 ×g for 3 min at 4°C, 800 μL of the supernatant was transferred to a new 1.5-mL Eppendorf tube, to which 400 μL of distilled water was added and vortexed for 10 s. After centrifugation at 16000 ×g for 3 min at 4 °C, 400 μL of the upper layer containing hydrophilic metabolites was transferred to a new 1.5-mL Eppendorf tube, and then freeze-dried (Taitec model VD-800F freeze dryer, Taitec Co. Ltd., Saitama, Japan). For quality control samples, 10 mg of each sample was added into a 15-mL tube (total 360 mg; six biological samples and six biological replicates) and then divided into six 2-mL Eppendorf tubes such that they ontained 10 mg, 20 mg, 30 mg, 40 mg, 50 mg, and 60 mg, respectively. An empty tube was also prepared, labeled as 0 mg QC, for monitoring background effects. Metabolite extraction of these dilution series was performed sing the procedure described above. |
Comment_of_details |