Data · dataset · 2022
Aligned mass spectra from metabolite extractions using nanoparticles
Listed in ScienceDB
The tables present the aligned mass spectra from metabolite extractions using nanoparticles.
Description
Magnetic iron oxide nanoparticles were synthesized using the chemical co-precipitation method and then modified using gold, silver, copper, zinc and gold. The synthetic nanoparticles were then used to extract metabolites from a fungal extract (MGK33), and then the spent crude extracts from the Nano-extractions were analyzed using mass spectrometry to reveal the efficiency of extraction using nanoparticles.
The data is presented in a tabular form with 30 columns and 237 rows. The first and second column (A and B) are descriptors of peaks detected during the mass spectrometry analysis. The next set of four columns (C to F) respectively present peak m/z values, peak retention time (RT), peak height and peak area from the MGK33 spectral data.
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Subsequent sets of four columns present similar data from six samples of nanoparticles as follows: SPIONs@MGK33, Ni-SPIONs@MGK33, Zn-SPIONs@MGK33, Ag-SPIONs@MGK33, Au-SPIONs@MGK33, and Cu-SPIONs@MGK33.The file is saved in MS Excel(*.xlsx) format and is 69 KB in size.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.01727 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Bioinformatics and computational biology 69% · Mass spectrometry 75% · Tabular 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.01727 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3102 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:mass-spectrometry | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:tabular | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |