Tags

Type your tag names separated by a space and hit enter

Application of High Resolution Mass Spectrometric methods coupled with chemometric techniques in olive oil authenticity studies - A review.
Anal Chim Acta. 2020 Oct 16; 1134:150-173.AC

Abstract

Extra Virgin Olive Oil (EVOO), the emblematic food of the Mediterranean diet, is recognized for its nutritional value and beneficial health effects. The main authenticity issues associated with EVOO's quality involve the organoleptic properties (EVOO or defective), mislabeling of production type (organic or conventional), variety and geographical origin, and adulteration. Currently, there is an emerging need to characterize EVOOs and evaluate their genuineness. This can be achieved through the development of analytical methodologies applying advanced "omics" technologies and the investigation of EVOOs chemical fingerprints. The objective of this review is to demonstrate the analytical performance of High Resolution Mass Spectrometry (HRMS) in the field of food authenticity assessment, allowing the determination of a wide range of food constituents with exceptional identification capabilities. HRMS-based workflows used for the investigation of critical olive oil authenticity issues are presented and discussed, combined with advanced data processing, comprehensive data mining and chemometric tools. The use of unsupervised classification tools, such as Principal Component Analysis (PCA) and Hierarchical Clustering Analysis (HCA), as well as supervised classification techniques, including Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), Partial Least Square Discriminant Analysis (PLS-DA), Orthogonal Projection to Latent Structure-Discriminant Analysis (OPLS-DA), Counter Propagation Artificial Neural Networks (CP-ANNs), Self-Organizing Maps (SOMs) and Random Forest (RF) is summarized. The combination of HRMS methodologies with chemometrics improves the quality and reliability of the conclusions from experimental data (profile or fingerprints), provides valuable information suggesting potential authenticity markers and is widely applied in food authenticity studies.

Links

Publisher Full Text (DOI)

Authors+Show Affiliations

Kalogiouri NP
Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens. Panepistimiopolis Zografou, 15 771 Athens, Greece.
Aalizadeh R
Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens. Panepistimiopolis Zografou, 15 771 Athens, Greece.
Dasenaki ME
Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens. Panepistimiopolis Zografou, 15 771 Athens, Greece.
Thomaidis NS
Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens. Panepistimiopolis Zografou, 15 771 Athens, Greece. Electronic address: ntho@chem.uoa.gr.

MeSH

Discriminant AnalysisMass SpectrometryOlive OilPrincipal Component AnalysisReproducibility of Results

Pub Type(s)

Journal Article
Review

Language

eng

PubMed ID

33059861

Citation

Kalogiouri, Natasa P., et al. "Application of High Resolution Mass Spectrometric Methods Coupled With Chemometric Techniques in Olive Oil Authenticity Studies - a Review." Analytica Chimica Acta, vol. 1134, 2020, pp. 150-173.
Kalogiouri NP, Aalizadeh R, Dasenaki ME, et al. Application of High Resolution Mass Spectrometric methods coupled with chemometric techniques in olive oil authenticity studies - A review. Anal Chim Acta. 2020;1134:150-173.
Kalogiouri, N. P., Aalizadeh, R., Dasenaki, M. E., & Thomaidis, N. S. (2020). Application of High Resolution Mass Spectrometric methods coupled with chemometric techniques in olive oil authenticity studies - A review. Analytica Chimica Acta, 1134, 150-173. https://doi.org/10.1016/j.aca.2020.07.029
Kalogiouri NP, et al. Application of High Resolution Mass Spectrometric Methods Coupled With Chemometric Techniques in Olive Oil Authenticity Studies - a Review. Anal Chim Acta. 2020 Oct 16;1134:150-173. PubMed PMID: 33059861.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Application of High Resolution Mass Spectrometric methods coupled with chemometric techniques in olive oil authenticity studies - A review. AU - Kalogiouri,Natasa P, AU - Aalizadeh,Reza, AU - Dasenaki,Marilena E, AU - Thomaidis,Nikolaos S, Y1 - 2020/07/30/ PY - 2019/11/12/received PY - 2020/07/13/revised PY - 2020/07/14/accepted PY - 2020/10/16/entrez PY - 2020/10/17/pubmed PY - 2021/5/15/medline KW - Authenticity KW - Chemical profiling KW - Chemometrics KW - EVOOs KW - HRMS SP - 150 EP - 173 JF - Analytica chimica acta JO - Anal Chim Acta VL - 1134 N2 - Extra Virgin Olive Oil (EVOO), the emblematic food of the Mediterranean diet, is recognized for its nutritional value and beneficial health effects. The main authenticity issues associated with EVOO's quality involve the organoleptic properties (EVOO or defective), mislabeling of production type (organic or conventional), variety and geographical origin, and adulteration. Currently, there is an emerging need to characterize EVOOs and evaluate their genuineness. This can be achieved through the development of analytical methodologies applying advanced "omics" technologies and the investigation of EVOOs chemical fingerprints. The objective of this review is to demonstrate the analytical performance of High Resolution Mass Spectrometry (HRMS) in the field of food authenticity assessment, allowing the determination of a wide range of food constituents with exceptional identification capabilities. HRMS-based workflows used for the investigation of critical olive oil authenticity issues are presented and discussed, combined with advanced data processing, comprehensive data mining and chemometric tools. The use of unsupervised classification tools, such as Principal Component Analysis (PCA) and Hierarchical Clustering Analysis (HCA), as well as supervised classification techniques, including Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), Partial Least Square Discriminant Analysis (PLS-DA), Orthogonal Projection to Latent Structure-Discriminant Analysis (OPLS-DA), Counter Propagation Artificial Neural Networks (CP-ANNs), Self-Organizing Maps (SOMs) and Random Forest (RF) is summarized. The combination of HRMS methodologies with chemometrics improves the quality and reliability of the conclusions from experimental data (profile or fingerprints), provides valuable information suggesting potential authenticity markers and is widely applied in food authenticity studies. SN - 1873-4324 UR - https://www.unboundmedicine.com/medline/citation/33059861/Application_of_High_Resolution_Mass_Spectrometric_methods_coupled_with_chemometric_techniques_in_olive_oil_authenticity_studies___A_review_ DB - PRIME DP - Unbound Medicine ER -