Sommario:
  • <p><span lang="EN-GB">The SALIVA+ FAIR database provides curated quantitative data on salivary concentrations of diet-related contaminants, supporting the development of saliva as a non-invasive matrix for human biomonitoring. The database includes 11 groups of contaminants, namely, nitrite and nitrate, heavy metals, bisphenols, polycyclic aromatic hydrocarbons (PAHs), biogenic amines, pesticides, advanced glycation end products (AGEs), perchlorate, microplastics, parabens, and phthalates, extracted from peer-reviewed studies focused on saliva biomonitoring.</span></p> <p><span lang="EN-GB">The database was developed through a combined approach of advanced text mining and manual validation. An initial search was performed using the term “saliva” in the PubMed Entrez API and the Scopus database, retrieving approximately <span>58,630 </span>and <span>61,330 </span>articles, respectively. Programmatic filters using a dictionary of over 500 target diet-related contaminants were applied, retaining 6,380 records (search period between 01/01/2000 and 18/01/2025). After removing duplicates and applying exclusion criteria, 1,687 articles were manually screened. Only 104 studies were identified with extractable quantitative data relevant to saliva-based biomonitoring.</span></p> <p><span lang="EN-GB">The database includes harmonized metadata on salivary concentration ranges, analytical methods, population characteristics, exposure pathways, and potential correlations with systemic biomarkers. Many contaminant classes, such as mycotoxins, HAAs, PFAS, dioxins, furans, brominated flame retardants, and UV filters, were not quantitatively assessed in saliva. Nevertheless, the included compounds provide a critical foundation for evaluating the suitability of saliva as a non-invasive matrix for dietary exposome research<strong>.</strong></span></p> <p><span lang="EN-GB">By consolidating heterogeneous findings into a standardized FAIR database, SALIVA+ supports exposure modelling, method development, and non-invasive biomonitoring strategies, particularly valuable in studies involving children or vulnerable populations.</span></p>