Tags

Type your tag names separated by a space and hit enter

Identification of phenolic markers for saffron authenticity and origin: An untargeted metabolomics approach.
Food Res Int. 2019 12; 126:108584.FR

Abstract

Saffron is a high-quality and expensive spice being widely subjected to adulteration. An UHPLC-ESI/QTOF-MS metabolomic-based approach was therefore used to investigate the discrimination potential between adulterated (added with different percentage of other parts of the flower) and authentic saffron, as well as to trace its geographical origin. Both unsupervised (hierarchical clustering) and supervised OPLS-DA multivariate statistics allowed discriminating authentic saffron from styles added of other floral components, as well as PDO (Protected Designation of Origin) vs non PDO saffron samples according to their chemical fingerprints. The proposed markers were then validated through ROC curves. Anthocyanins and glycosidic flavonols were the best markers of the styles' adulteration. However, other flavonoids (mainly free flavonols and flavones), together with protocatechuic aldehyde and isomeric forms of hydroxybenzoic acid, were also validated as markers for the discrimination of PDO vs non PDO saffron samples. This work outlines the potential of untargeted metabolomics based on UHPLC-ESI/QTOF mass spectrometry for saffron authenticity and traceability.

Authors+Show Affiliations

Department for sustainable food process, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.Department for sustainable food process, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.Department for sustainable food process, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.Department of sustainable crop production, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.Centro de Investigación Agroforestal de Albaladejito, Instituto Regional de Investigación y Desarrollo Agroalimentario y Forestal, Cuenca, Spain.IDR-Biotechnology and Natural Resources, Universidad de Castilla-La Mancha, Albacete, Spain.Department for sustainable food process, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy. Electronic address: luigi.lucini@unicatt.it.Department for sustainable food process, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

31732022

Citation

Senizza, Biancamaria, et al. "Identification of Phenolic Markers for Saffron Authenticity and Origin: an Untargeted Metabolomics Approach." Food Research International (Ottawa, Ont.), vol. 126, 2019, p. 108584.
Senizza B, Rocchetti G, Ghisoni S, et al. Identification of phenolic markers for saffron authenticity and origin: An untargeted metabolomics approach. Food Res Int. 2019;126:108584.
Senizza, B., Rocchetti, G., Ghisoni, S., Busconi, M., De Los Mozos Pascual, M., Fernandez, J. A., Lucini, L., & Trevisan, M. (2019). Identification of phenolic markers for saffron authenticity and origin: An untargeted metabolomics approach. Food Research International (Ottawa, Ont.), 126, 108584. https://doi.org/10.1016/j.foodres.2019.108584
Senizza B, et al. Identification of Phenolic Markers for Saffron Authenticity and Origin: an Untargeted Metabolomics Approach. Food Res Int. 2019;126:108584. PubMed PMID: 31732022.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Identification of phenolic markers for saffron authenticity and origin: An untargeted metabolomics approach. AU - Senizza,Biancamaria, AU - Rocchetti,Gabriele, AU - Ghisoni,Silvia, AU - Busconi,Matteo, AU - De Los Mozos Pascual,Marcelino, AU - Fernandez,José Antonio, AU - Lucini,Luigi, AU - Trevisan,Marco, Y1 - 2019/07/26/ PY - 2019/05/20/received PY - 2019/07/17/revised PY - 2019/07/25/accepted PY - 2019/11/17/entrez PY - 2019/11/17/pubmed PY - 2020/11/3/medline KW - Crocus sativus KW - Food integrity KW - Food metabolomics KW - Multivariate statistics KW - Polyphenols SP - 108584 EP - 108584 JF - Food research international (Ottawa, Ont.) JO - Food Res Int VL - 126 N2 - Saffron is a high-quality and expensive spice being widely subjected to adulteration. An UHPLC-ESI/QTOF-MS metabolomic-based approach was therefore used to investigate the discrimination potential between adulterated (added with different percentage of other parts of the flower) and authentic saffron, as well as to trace its geographical origin. Both unsupervised (hierarchical clustering) and supervised OPLS-DA multivariate statistics allowed discriminating authentic saffron from styles added of other floral components, as well as PDO (Protected Designation of Origin) vs non PDO saffron samples according to their chemical fingerprints. The proposed markers were then validated through ROC curves. Anthocyanins and glycosidic flavonols were the best markers of the styles' adulteration. However, other flavonoids (mainly free flavonols and flavones), together with protocatechuic aldehyde and isomeric forms of hydroxybenzoic acid, were also validated as markers for the discrimination of PDO vs non PDO saffron samples. This work outlines the potential of untargeted metabolomics based on UHPLC-ESI/QTOF mass spectrometry for saffron authenticity and traceability. SN - 1873-7145 UR - https://www.unboundmedicine.com/medline/citation/31732022/Identification_of_phenolic_markers_for_saffron_authenticity_and_origin:_An_untargeted_metabolomics_approach_ DB - PRIME DP - Unbound Medicine ER -