Secondary metabolites of Olea europaea leaves as markers for the discrimination of cultivars and cultivation zones by multivariate analysis

Donna, Leonardo Di; Mazzotti, Fabio; Naccarato, Attilio; Salerno, Raffaele; Tagarelli, Antonio; Taverna, Domenico; Sindona, Giovanni

doi:10.1016/j.foodchem.2009.12.070

Cited by 49 publications

(42 citation statements)

References 26 publications

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“…Some of these compounds have already been detected before. In particular, compound 7a was detected in olive ( Olea europaea ) tree leaves [36] and compound 10 in the fermentation broth of the marine fungus Y26-02 [18]. …”

Section: Discussionmentioning

confidence: 99%

A Straightforward Access to New Families of Lipophilic Polyphenols by Using Lipolytic Bacteria

et al. 2016

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The chemical synthesis of new lipophilic polyphenols with improved properties presents technical difficulties. Here we describe the selection, isolation and identification of lipolytic bacteria from food-processing industrial wastes, and their use for tailoring a new set of compounds with great interest in the food industry. These bacteria were employed to produce lipolytic supernatants, which were applied without further purification as biocatalysts in the chemoselective and regioselective synthesis of lipophilic partially acetylated phenolic compounds derived from olive polyphenols. The chemoselectivity of polyphenols acylation/deacylation was analyzed, revealing the preference of the lipases for phenolic hydroxyl groups and phenolic esters. In addition, the alcoholysis of peracetylated 3,4-dihydroxyphenylglycol resulted in a series of lipophilic 2-alkoxy-2-(3,4-dihydroxyphenyl)ethyl acetate through an unexpected lipase-mediated etherification at the benzylic position. These new compounds are more lipophilic and retained their antioxidant properties. This approach can provide access to unprecedented derivatives of 3,4-dihydroxyphenylglycol with improved properties.

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Section: Discussionmentioning

confidence: 99%

A Straightforward Access to New Families of Lipophilic Polyphenols by Using Lipolytic Bacteria

et al. 2016

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“…LDA is certainly one of the most widely used classification techniques . The data in the training set is used to defines n − 1 delimiters (where n is the number of classes) so as the multivariate space of the objects is divided in as many subspaces as the number of categories.…”

Section: Resultsmentioning

confidence: 99%

Rapid discrimination of bergamot essential oil by paper spray mass spectrometry and chemometric analysis

et al. 2016

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A novel approach for the rapid discrimination of bergamot essential oil from other citrus fruits oils is presented. The method was developed using paper spray mass spectrometry (PS-MS) allowing for a rapid molecular profiling coupled with a statistic tool for a precise and reliable discrimination between the bergamot complex matrix and other similar matrices, commonly used for its reconstitution. Ambient mass spectrometry possesses the ability to record mass spectra of ordinary samples, in their native environment, without sample preparation or pre-separation by creating ions outside the instrument. The present study reports a PS-MS method for the determination of oxygen heterocyclic compounds such as furocoumarins, psoralens and flavonoids present in the non-volatile fraction of citrus fruits essential oils followed by chemometric analysis. The volatile fraction of Bergamot is one of the most known and fashionable natural products, which found applications in flavoring industry as ingredient in beverages and flavored foodstuff. The development of the presented method employed bergamot, sweet orange, orange, cedar, grapefruit and mandarin essential oils. PS-MS measurements were carried out in full scan mode for a total run time of 2 min. The capability of PS-MS profiling to act as marker for the classification of bergamot essential oils was evaluated by using multivariate statistical analysis. Two pattern recognition techniques, linear discriminant analysis and soft independent modeling of class analogy, were applied to MS data. The cross-validation procedure has shown excellent results in terms of the prediction ability because both models have correctly classified all samples for each category. Copyright © 2016 John Wiley & Sons, Ltd.

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“…PCA was a useful tool to assess differences among cultivars (Di Donna et al, 2010). PCA is an unsupervised clustering method requiring no previous knowledge of the data set: it acts to reduce the dimensionality of multivariate data while preserving most of the variance within it.…”

Section: Visual Inspection Of 1 H-nmr Spectra and Assignments Of Compmentioning

confidence: 99%

Polyphenol characterization and antioxidant evaluation of Olea europaea varieties cultivated in Cilento National Park (Italy)

Scognamiglio¹,

D’Abrosca²,

Pacifico³

et al. 2012

Food Research International

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Secondary metabolites of Olea europaea leaves as markers for the discrimination of cultivars and cultivation zones by multivariate analysis

Cited by 49 publications

References 26 publications

A Straightforward Access to New Families of Lipophilic Polyphenols by Using Lipolytic Bacteria

A Straightforward Access to New Families of Lipophilic Polyphenols by Using Lipolytic Bacteria

Rapid discrimination of bergamot essential oil by paper spray mass spectrometry and chemometric analysis

Polyphenol characterization and antioxidant evaluation of Olea europaea varieties cultivated in Cilento National Park (Italy)

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