Chemometrics Methods for Specificity, Authenticity and Traceability Analysis of Olive Oils: Principles, Classifications and Applications
Background. Olive oils (OOs) show high chemical variability due to several factors of genetic, environmental and anthropic types. Genetic and environmental factors are responsible for natural compositions and polymorphic diversification resulting in different varietal patterns and phenotypes. Anthro...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-11-01
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| Series: | Foods |
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| Online Access: | http://www.mdpi.com/2304-8158/5/4/77 |
| _version_ | 1818546045536174080 |
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| author | Habib Messai Muhammad Farman Abir Sarraj-Laabidi Asma Hammami-Semmar Nabil Semmar |
| author_facet | Habib Messai Muhammad Farman Abir Sarraj-Laabidi Asma Hammami-Semmar Nabil Semmar |
| author_sort | Habib Messai |
| collection | DOAJ |
| description | Background. Olive oils (OOs) show high chemical variability due to several factors of genetic, environmental and anthropic types. Genetic and environmental factors are responsible for natural compositions and polymorphic diversification resulting in different varietal patterns and phenotypes. Anthropic factors, however, are at the origin of different blends’ preparation leading to normative, labelled or adulterated commercial products. Control of complex OO samples requires their (i) characterization by specific markers; (ii) authentication by fingerprint patterns; and (iii) monitoring by traceability analysis. Methods. These quality control and management aims require the use of several multivariate statistical tools: specificity highlighting requires ordination methods; authentication checking calls for classification and pattern recognition methods; traceability analysis implies the use of network-based approaches able to separate or extract mixed information and memorized signals from complex matrices. Results. This chapter presents a review of different chemometrics methods applied for the control of OO variability from metabolic and physical-chemical measured characteristics. The different chemometrics methods are illustrated by different study cases on monovarietal and blended OO originated from different countries. Conclusion. Chemometrics tools offer multiple ways for quantitative evaluations and qualitative control of complex chemical variability of OO in relation to several intrinsic and extrinsic factors. |
| first_indexed | 2024-12-12T07:47:53Z |
| format | Article |
| id | doaj.art-9fd026897a304f2fb06decc8a8d183f2 |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-12-12T07:47:53Z |
| publishDate | 2016-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj.art-9fd026897a304f2fb06decc8a8d183f22022-12-22T00:32:31ZengMDPI AGFoods2304-81582016-11-01547710.3390/foods5040077foods5040077Chemometrics Methods for Specificity, Authenticity and Traceability Analysis of Olive Oils: Principles, Classifications and ApplicationsHabib Messai0Muhammad Farman1Abir Sarraj-Laabidi2Asma Hammami-Semmar3Nabil Semmar4Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, University of Tunis El Manar, 1002 Tunis, TunisiaDepartment of Chemistry, Quaid-i-Azam University, 45320 Islamabad, PakistanLaboratory of Bioinformatics, Biomathematics and Biostatistics (BIMS), Institut Pasteur de Tunis, University of Tunis El Manar, 1002 Tunis, TunisiaNational Institute of Applied Sciences and Technology (INSAT), University of Carthage, 1080 Tunis, TunisiaLaboratory of Bioinformatics, Biomathematics and Biostatistics (BIMS), Institut Pasteur de Tunis, University of Tunis El Manar, 1002 Tunis, TunisiaBackground. Olive oils (OOs) show high chemical variability due to several factors of genetic, environmental and anthropic types. Genetic and environmental factors are responsible for natural compositions and polymorphic diversification resulting in different varietal patterns and phenotypes. Anthropic factors, however, are at the origin of different blends’ preparation leading to normative, labelled or adulterated commercial products. Control of complex OO samples requires their (i) characterization by specific markers; (ii) authentication by fingerprint patterns; and (iii) monitoring by traceability analysis. Methods. These quality control and management aims require the use of several multivariate statistical tools: specificity highlighting requires ordination methods; authentication checking calls for classification and pattern recognition methods; traceability analysis implies the use of network-based approaches able to separate or extract mixed information and memorized signals from complex matrices. Results. This chapter presents a review of different chemometrics methods applied for the control of OO variability from metabolic and physical-chemical measured characteristics. The different chemometrics methods are illustrated by different study cases on monovarietal and blended OO originated from different countries. Conclusion. Chemometrics tools offer multiple ways for quantitative evaluations and qualitative control of complex chemical variability of OO in relation to several intrinsic and extrinsic factors.http://www.mdpi.com/2304-8158/5/4/77chemometrical methodsolive fieldblendsquality controlordinationclusteringpattern recognitionpredictionchromatographic profilesspectral data |
| spellingShingle | Habib Messai Muhammad Farman Abir Sarraj-Laabidi Asma Hammami-Semmar Nabil Semmar Chemometrics Methods for Specificity, Authenticity and Traceability Analysis of Olive Oils: Principles, Classifications and Applications Foods chemometrical methods olive field blends quality control ordination clustering pattern recognition prediction chromatographic profiles spectral data |
| title | Chemometrics Methods for Specificity, Authenticity and Traceability Analysis of Olive Oils: Principles, Classifications and Applications |
| title_full | Chemometrics Methods for Specificity, Authenticity and Traceability Analysis of Olive Oils: Principles, Classifications and Applications |
| title_fullStr | Chemometrics Methods for Specificity, Authenticity and Traceability Analysis of Olive Oils: Principles, Classifications and Applications |
| title_full_unstemmed | Chemometrics Methods for Specificity, Authenticity and Traceability Analysis of Olive Oils: Principles, Classifications and Applications |
| title_short | Chemometrics Methods for Specificity, Authenticity and Traceability Analysis of Olive Oils: Principles, Classifications and Applications |
| title_sort | chemometrics methods for specificity authenticity and traceability analysis of olive oils principles classifications and applications |
| topic | chemometrical methods olive field blends quality control ordination clustering pattern recognition prediction chromatographic profiles spectral data |
| url | http://www.mdpi.com/2304-8158/5/4/77 |
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