Analytical Method Validation for 23 Alkaloids in Flower Extract Supplements
by Fernández-Pintor, Begoña / e-cienciaDatos Harvested Dataverse·Updated 8mo ago
Available on 1 platform
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Description
A database supporting a study on a micro-solid phase extraction method for alkaloid detection. It includes UHPLC-MS parameters, validation results, matrix effect data, and AGREEprep scores for the methodology. The dataset, authored by Begoña Fernández-Pintor, was last updated on October 14, 2025.
Use Cases
Validate analytical methodologies for alkaloid detection based on the included AGREEprep scores and validation results.
Compare extraction efficiency between different techniques based on the table comparing this methodology to others in literature.
Assess matrix effects in complex samples based on the reported recovery percentages and solvent-based calibration curves.
Optimize micro-solid phase extraction procedures based on the results for the uSPEed(r) extraction optimization.
Strengths
Includes a comprehensive validation suite covering matrix effects, recovery percentages, and AGREEprep scores.
Provides a direct comparison of the proposed methodology against other techniques found in the scientific literature.
Focuses on a specific application for 23 alkaloids in flower-based dietary supplements.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for large-scale ML tasks.
The dataset's primary focus is method validation, which may limit direct use for predictive modeling without additional context.
Provenance
Source
e-cienciaDatos Harvested Dataverse
Collection Method
Likely contains experimental results from laboratory analysis using UHPLC-MS and micro-solid phase extraction.
Time Range
null
Freshness
Last updated 2025-10-14 21:43:34; freshness should be verified.
Geography
null
License is unknown; terms of use must be verified before application.