Academic Journal
The LC-QTOF-MS/MS analysis data of detected metabolites from the crude extract of Datura stramonium leaves
| العنوان: | The LC-QTOF-MS/MS analysis data of detected metabolites from the crude extract of Datura stramonium leaves |
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| المؤلفون: | Kudzanai Ian Tapfuma, Lukhanyo Mekuto, Maya Mellisa Makatini, Vuyo Mavumengwana |
| المصدر: | Data in Brief, Vol 25, Iss , Pp - (2019) |
| بيانات النشر: | Elsevier, 2019. |
| سنة النشر: | 2019 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Science (General) |
| مصطلحات موضوعية: | Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390 |
| الوصف: | This data article presents the untargeted metabolite profiling of a crude extract from the leaves of Datura stramonium. The plant was collected in Johannesburg (South Africa) and the extract was prepared by firstly air-drying fresh D. stramonium leaves for one week, grinding the dry leaves into fine powder, followed by solvent extraction using a 1:1 solvent mixture of dichloromethane and methanol (v/v) to extract the compounds. The extract was concentrated at 65 °C to obtain a solid crude extract which was then stored under refrigeration at −80 °C. Qualitative tandem liquid chromatography quadrupole time of flight mass spectrometry (LC-QTOF-MS/MS) was utilized to identify compounds in the extract. The data processing revealed the presence of 76 known compounds in the crude extract from the leaves. This data article contains the m/z [M + H+] values, retention times and corresponding database search hit identities of the 76 compounds and the comprehensive list of m/z values detected during the LC-QTOF-MS/MS analysis. Keywords: Datura stramonium, Metabolite profiling, LC-QTOF-MS/MS |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2352-3409 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2352340919304482; https://doaj.org/toc/2352-3409 |
| DOI: | 10.1016/j.dib.2019.104094 |
| URL الوصول: | https://doaj.org/article/2e013535097b456997611747760aec10 |
| رقم الانضمام: | edsdoj.2e013535097b456997611747760aec10 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 23523409 |
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| DOI: | 10.1016/j.dib.2019.104094 |