High-resolution melting analysis of chloroplast markers for species authentication and mislabeling detection in commercial açaí and juçara products
Abstract Authentication of açaí products is increasingly important due to the risk of species substitution among morphologically similar Euterpe taxa, with implications for food quality, labeling accuracy, and consumer trust. Despite advances in molecular methods, rapid and cost-effective tools for species authentication of closely related Euterpe taxa in processed commercial matrices remain limited. This study evaluated High-Resolution Melting (HRM) analysis targeting two complementary chloroplast markers—psbK-I and ycf1b—as a practical approach for species-level authentication of açaí ( Euterpe oleracea and E. precatoria ) and juçara ( E. edulis ) products. In silico analysis predicted amplification of the ycf1b region to be confined to the Arecaceae family, with no amplification of non-palm species commonly present in commercial formulations; species discrimination in both markers relies on differential melting profiles rather than primer exclusivity. Applied sequentially, the two markers enabled reliable differentiation of all target species, including closely related taxa, with a detection limit of at least 10% in binary DNA admixtures. When applied to 50 commercial products, HRM successfully authenticated 46 samples, providing a higher authentication success rate for this particular set of processed samples than DNA sequencing, which was limited by amplification failure and mixed chromatograms. Mislabeling was detected in one açaí sorbet and three frozen açaí pulps marketed as açaí but molecularly identified as E. edulis . These findings indicate that HRM analysis represents a promising approach for species authentication in processed plant-based matrices, with potential future integration into food quality control workflows pending broader validation.
Authors
- Francine Alves Nogueira de Almeida (ORCID: https://orcid.org/0000-0002-1633-9477)
- Mário Augusto Gonçalves Jardim (ORCID: https://orcid.org/0000-0003-1575-1248)
- Greiciane Gaburro Paneto (ORCID: https://orcid.org/0000-0001-8035-4199)
- Pablo Viana Oliveira (ORCID: https://orcid.org/0000-0002-1785-178X)
- Karolinni Bianchi Britto (ORCID: https://orcid.org/0000-0002-1614-0898)
- Magda Delorence Lugon (ORCID: https://orcid.org/0000-0001-8156-7903)
- Pedro Henrique Dias dos Santos (ORCID: https://orcid.org/0000-0003-0325-7947)
- Rafaela Campostrini Forzza
Institutions
- Louisiana State University of Alexandria (US)
- Museu Paraense Emílio Goeldi (BR)
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Instituto de Pesquisas Jardim Botânico do Rio de Janeiro (BR)
- Instituto Chico Mendes de Conservação da Biodiversidade (BR)
- Universidade Federal do Espírito Santo (BR)
Publication Details
- Journal
- European Food Research and Technology
- Published
- 2026-09-15
- DOI
- https://doi.org/10.1007/s00217-026-05277-4
- Primary Topic
- Identification and Quantification in Food
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro