An NMR-based metabolomics strategy for adulteration detection of natural resins: Application to Chios mastic gum
Chios mastic gum (CMG), the resin from Pistacia lentiscus L. var. Chia, is a valuable natural product with a long history of therapeutic use and significant economic impact. However, its authenticity is increasingly challenged by adulteration with chemically similar resins, particularly Pistacia atlantica. This study presents a robust <sup>1</sup>H NMR-based metabolomics approach combined with principal component analysis (PCA) to authenticate CMG and distinguish it from other resins. A total of 131 resin samples-including 71 authentic CMG samples from four Chios subregions-were analyzed. A distinct metabolic signature for CMG was revealed, primarily characterized by high levels of masticadienonic acid (MNA), isomasticadienonic acid (IMNA), oleanonic aldehyde, and cis-1,4-poly-β-myrcene. The resulting chemometric model effectively differentiated CMG from adulterants, including Iranian mastic gum (IMG) and aged CMG, and identified mislabeled commercial samples. Two authentication indices (MA Index-1 and MA Index-2) were developed based on key metabolite concentrations and their ratios, providing a quantifiable, reproducible framework for CMG quality control. This method enables rapid, non-destructive authentication without extensive sample preparation or reference standards, offering a valuable tool for safeguarding the integrity of CMG in commercial and regulatory settings.
Authors
- Ilias Smyrnioudis (ORCID: https://orcid.org/0000-0003-2431-9369)
- Vasiliki K. Pachi (ORCID: https://orcid.org/0000-0003-1936-0682)
- Eleftherios Kalpoutzakis (ORCID: https://orcid.org/0000-0002-5274-0946)
- Stavros Beteinakis (ORCID: https://orcid.org/0000-0003-4937-0822)
- Maria Halabalaki (ORCID: https://orcid.org/0000-0001-5620-0165)
- Eleni Akrivousi
Institutions
- National and Kapodistrian University of Athens (GR)
- Chios Mastiha Growers Association (GR)
Publication Details
- Journal
- Journal of Pharmaceutical and Biomedical Analysis
- Published
- 2025-11-27
- DOI
- https://doi.org/10.1016/j.jpba.2025.117285
- Primary Topic
- Nuts composition and effects
- Type
- article
- Field-Weighted Citation Impact
- 0.00