Untargeted metabolomics approaches challenge the Nutri-score FOPNL system in soluble cocoa products dataset
Creators
- 1. Granada university. Department of Nutrition and Food Science.
- 2. UGR´s "José Mataix Verdú" Institute of Nutrition and Food Technology (INYTA)
- 3. Section of Chemistry and Toxinology, Norwegian Veterinary Institute. P.O. Box 64, N-1431 Ås, Norway.
- 4. Granada University. Department of Nutrition and Food Science.
- 5. UGR's "José Mataix Verdú" Institute of Nutrition and Food Technology (INYTA)
- 6. Instituto de Investigación Biosanitaria Ibs.GRANADA, Granada18012, Spain
Contributors
Data curators:
Data manager:
-
1.
Universidad de Granada
-
2.
Norwegian Veterinary Institute
Description
Usage notes
This dataset supports the study titled "Untargeted metabolomics approaches challenge the Nutri-Score FOPNL system in soluble cocoa products". It contains raw untargeted metabolomics data acquired from 54 commercial soluble cocoa powder samples marketed in Spain, covering 19 brands and Nutri-Score categories A to D.
Samples were analysed using HPLC-ESI-TOF-MS in positive and negative ionisation mode. The resulting mzML files contain the full-scan mass spectrometry data used for metabolite profiling.
All samples were anonymised and coded. Detailed metadata, including sample codes, Nutri-Score classification, and basic nutritional information, are provided in the accompanying file.
Table of contents (English)
Source data
XML negative: XML files analyzed by HPLC-QTOF-MS in negative ionization mode
XML positive: XML files analyzed by HPLC-QTOF-MS in positive ionization mode
Files
Restricted
The record is publicly accessible, but files are restricted to users with access.
Additional details
Funding
- Consejería de Universidad, Investigación e Innovación
- Metabolomics-based analysis for bridging the gap between a flavanols- rich COcoa intake and biomarkers for cognitive performance and BRAin plasticity in animal models (COBRA) P21_00777