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Is Linalyl Anthranilate Indeed Found In Plant Samples? GC-MS Misidentifications in the Scientific Literature.
Katarzyna Pokajewicz1, Tomasz Biernat2, Piotr P Wieczorek1
1Faculty of Chemistry and Pharmacy, Opole University, pl. Kopernika 11a, 45-040 Opole, Poland.
Journal of Natural Products
|December 17, 2024
Summary
Linalyl anthranilate (LNA) is likely misidentified in plant extracts. This study confirms NIST retention data, showing previously reported LNA findings were erroneous, often mistaking linalyl acetate for LNA.
Area of Science:
- Analytical Chemistry
- Organic Chemistry
- Natural Product Chemistry
Background:
- Linalyl anthranilate (LNA) has been reported in plant extracts and essential oils.
- Previous reports show inconsistent retention behavior compared to NIST database data.
- This discrepancy raises questions about the accuracy of LNA identification in prior studies.
Purpose of the Study:
- To investigate the discrepancies in reported LNA retention behavior.
- To determine if LNA has been misidentified in GC-MS analyses.
- To validate or correct the NIST linear retention index for LNA.
Main Methods:
- Synthesis of pure linalyl anthranilate (LNA) via a novel two-step procedure.
- Authentication of synthesized LNA using Nuclear Magnetic Resonance (NMR) and Gas Chromatography-Mass Spectrometry (GC-MS).
- Determination of LNA retention indices on three common Gas Chromatography (GC) phases (polydimethylsiloxane, 5% diphenyl-95% polydimethylsiloxane, polyethylene glycol).
Main Results:
- Confirmed the accuracy of NIST retention data for LNA.
- Established the linear retention index for LNA on a semi-nonpolar GC column as 2051.
- Observed literature-reported LNA retention indices (1000-1400) significantly differ from validated data, indicating misidentification.
Conclusions:
- Previous reports of LNA in natural samples lack credible evidence.
- The presence of LNA in plant extracts is highly unlikely based on validated retention data.
- Misidentification, particularly of linalyl acetate due to erroneous spectral data in older NIST databases, is the probable cause of false LNA reports.

