MetaDilutionR: Plasma Dilution Optimization Data for Untargeted Metabolomics

MetaDilutionR is an open-source R package that standardizes dilution optimization for untargeted metabolomics. The associated dataset, shared by Keerthana Vinod Kumar on figshare in June 2026, contains outputs from the tool's systematic evaluation of electrospray ionization linearity using plasma as a model. It includes log2-transformed data, summaries of linear features with optimal dilution ranges, and visual regression plots to enhance quantification reproducibility.

Use Cases

• Identifying metabolite-specific optimal dilution conditions based on slope and R² thresholds.
• Classifying features as linear or nonlinear to reduce false-positive linear assignments.
• Analyzing potential ion suppression or detector saturation from reported nonlinear features.
• Benchmarking dilution optimization performance against established metabolomics workflows.

Strengths

• Algorithm was benchmarked against three established metabolomics workflows.
• Cross-platform applicability was confirmed on an independent GC-MS dataset.
• The package automates dilution assessments via a single function call for algorithmic reproducibility.
• Outputs include detailed evaluations across dilution scenarios and visual reports.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 100.9 KB file size indicates a very limited scope, likely containing example or summary data rather than raw experimental results.

Provenance

Source

figshare

Collection Method

Data generated by the MetaDilutionR R package for systematic evaluation of electrospray ionization linearity.

Freshness

Last updated 2026-06-03 11:34:31; freshness should be verified.