El CRAI romandrà tancat del 24 de desembre de 2025 al 6 de gener de 2026. La validació de documents es reprendrà a partir del 7 de gener de 2026.
El CRAI permanecerá cerrado del 24 de diciembre de 2025 al 6 de enero de 2026. La validación de documentos se reanudará a partir del 7 de enero de 2026.
From 2025-12-24 to 2026-01-06, the CRAI remain closed and the documents will be validated from 2026-01-07.
 
Carregant...
Miniatura

Tipus de document

Article

Versió

Versió publicada

Data de publicació

Llicència de publicació

cc-by (c)  Caredda, M. et al., 2024
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/216066

Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

Fraudulent practices concerning honey are growing fast and involve misrepresentation of origin and adulteration. Simple and feasible methods for honey authentication are needed to ascertain honey compliance and quality. Working on a robust dataset and simultaneously investigating honey traceability and adulterant detection, this study proposed a portable FTNIR fingerprinting approach combined with chemometrics. Multifloral and unifloral honey samples (n = 244) from Spain and Sardinia (Italy) were discriminated by botanical and geographical origin. Qualitative and quantitative methods were developed using linear discriminant analysis (LDA) and partial least squares (PLS) regression to detect adulterated honey with two syrups, consisting of glucose, fructose, and maltose. Botanical and geographical origins were predicted with 90% and 95% accuracy, respectively. LDA models discriminated pure and adulterated honey samples with an accuracy of over 92%, whereas PLS allows for the accurate quantification of over 10% of adulterants in unifloral and 20% in multifloral honey.

Citació

Citació

CAREDDA, Marco, CIULU, Marco, TILOCCA, F., LANGASCO, Ilaria, NÚÑEZ BURCIO, Oscar, SENTELLAS, Sonia, SAURINA, Javier, PILO, Maria i., SPANO, Nadia, SANNA, G., MARA, Alessandro. Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.. _Foods_. 2024. Vol. 13, núm. 19, pàgs. 1-18. [consulta: 7 de gener de 2026]. ISSN: 2304-8158. [Disponible a: https://hdl.handle.net/2445/216066]

Exportar metadades

JSON - METS

Compartir registre