MetaDilutionR: Plasma Dilution Optimization Data for Untargeted Metabolomics

An Excel dataset from the MetaDilutionR R package, which provides data-driven determination of optimal plasma dilution for untargeted metabolomics. The package was developed by Keerthana Vinod Kumar and published on figshare in June 2026. It standardizes dilution optimization by evaluating electrospray ionization linearity to maximize metabolite coverage within the instrument's linear dynamic range.

Use Cases

• Identifying metabolite-specific optimal dilution ranges based on slope and R² thresholds.
• Classifying features as linear or nonlinear to highlight potential ion suppression or detector saturation.
• Benchmarking dilution optimization performance against established metabolomics workflows.
• Generating visual regression plot reports for detailed evaluation across dilution scenarios.

Strengths

• Dataset is associated with a tool benchmarked against three established metabolomics workflows.
• The algorithm's cross-platform applicability was confirmed on an independent GC-MS dataset.
• Outputs include log2-transformed data and summaries of linear features with optimal dilution ranges.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 18.1 KB, indicating limited scope.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Generated by the MetaDilutionR R package for systematic dilution assessment.

Freshness

Last updated 2026-06-03 11:34:20; freshness should be verified.