MetaDilutionR: Plasma Dilution Optimization Data for Untargeted Metabolomics

An Excel dataset supports the MetaDilutionR R package for standardizing plasma dilution optimization in untargeted metabolomics. The data, 125.4 KB in size, was uploaded by Keerthana Vinod Kumar to figshare in June 2026. It is used to evaluate electrospray ionization linearity and classify metabolite features as linear or nonlinear based on slope and R² thresholds.

Use Cases

• Identifying metabolite-specific optimal dilution ranges based on linearity evaluations described in the summary.
• Benchmarking dilution optimization algorithms against established metabolomics workflows using the provided slope and R² criteria.
• Analyzing potential ion suppression or detector saturation by examining features classified as nonlinear.
• Integrating systematic dilution assessment into existing LC-HRMS or GC-MS metabolomics pipelines.

Strengths

• Data is associated with a peer-reviewed methodology (MetaDilutionR) benchmarked against three established metabolomics workflows.
• The algorithm demonstrated cross-platform applicability, with consistent performance confirmed on an independent GC-MS dataset.
• Outputs include log2-transformed data, summary reports, and visual regression plots, as described.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's 125.4 KB size indicates a limited scope, likely containing model or example data rather than large-scale experimental results.

Provenance

Source

figshare, uploaded by Keerthana Vinod Kumar.

Collection Method

Likely generated from high-resolution mass spectrometry analysis of plasma samples to evaluate electrospray ionization linearity.

Freshness

Last updated 2026-06-03 11:34:28; freshness should be verified.