Copaiba Oils Characterization by HPTLC Relative Retention Factor for Biomarker Detection

A methodology paper presents a new technique for authenticating copaiba oils using High-Performance Thin-Layer Chromatography (HPTLC). The method uses the monoterpene linalool oxide as a standard to calculate relative retention factors for detecting specific diterpenic acids. Calibration curves showed strong correlation with │r│ ≥0.9962 and R² ≥0.9928.

Use Cases

• Authenticating copaiba oil species based on diterpenic acid profiles mentioned in the description.
• Developing quality control protocols for botanical products using the described HPTLC relative retention factor method.
• Comparing terpene compositions of different essential oil samples using the biomarker detection framework.

Strengths

• Method validation shows strong calibration curve correlation (│r│ ≥0.9962, R² ≥0.9928).
• Description details the detection of specific biomarkers: caryophyllene, its oxides, and diterpenic acids like copalic and agathic.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Milena Campelo Freitas de Lima via paperswithcode

Collection Method

Analytical chemistry research; methodology development for HPTLC analysis.