Assessment of the Climatic Condition’s Impact
on Volatiles, Polyphenols and Mineral Contents
in Tunisian Olive Tree (&lt;i&gt;Olea europaea&lt;/i&gt; L.)

Mansour-Gueddes, Samia Ben; Naija, Dhouha Saidana; Flamini, Guido; Cheraief, Imed; Braham, Mohamed

doi:10.15244/pjoes/133232

Cited by 9 publications

(5 citation statements)

References 27 publications

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“…In our study, the investigated locations showed a significant difference between phenolic compounds in olive leaves of the Chetoui variety. Previous studies reported that geographical location is among the factors that strongly influence phenolic composition [ 14 , 27 ].…”

Section: Discussionmentioning

confidence: 99%

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Effect of Geographical Location on the Phenolic and Mineral Composition of Chetoui Olive Leaves

Zakraoui

Hannachi

Pasković

et al. 2023

Foods

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In this study, we investigated the influence of pedological parameters and variation of altitude on the mineral nutrients, phenolic compounds, and antioxidant activities of olive leaves. Samples of the Chetoui cultivar were collected from eight geographical locations with different altitudes. Levels of phenolic compounds varied according to the altitude. Classification of the locations revealed that altitude 1 (>500 m) was characterized by high levels of secoiridoids and simple phenols, while altitude 2 (500–300 m) and altitude 3 (<300 m) were higher in flavonoids. Levels of Mn, Ca and B in the leaves and level of Zn in the soil were significantly correlated with the abundance of oleuropein and luteolin-7-O glucoside, the most important phenols in Chetoui olive leaves. The results suggest that, in addition to pedological criteria, environmental conditions also influence the formation of phenolic compounds.

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Section: Discussionmentioning

confidence: 99%

“…Phosphorus (P) is an essential mineral nutrient for growth. It plays an important role in energy storage and its transfer to the cells when they need it [ 27 , 30 ]. In our study, we observed a significant negative correlation between the concentrations of P in leaves and oleacein ( r = −0.84, p < 0.01) ( Table S4 ).…”

Section: Discussionmentioning

confidence: 99%

Effect of Geographical Location on the Phenolic and Mineral Composition of Chetoui Olive Leaves

Zakraoui

Hannachi

Pasković

et al. 2023

Foods

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“…Under specific environmental conditions, the uptake and accumulation of elements from the soil are affected. As a response to water stress, plants accumulate some elements in the roots that will be translocated later to satisfy their needs [ 63 , 64 ]. Furthermore, genetic determinism has been demonstrated to affect the accumulation of elements by the olive tree.…”

Section: Resultsmentioning

confidence: 99%

Trace Elements Analysis of Tunisian and European Extra Virgin Olive Oils by ICP-MS and Chemometrics for Geographical Discrimination

Nasr

Epova²,

Diego

et al. 2021

Foods

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The aim of this study was to investigate the levels of trace elements in olive oils from different locations and their use for geographical authentication. Concentrations of seventeen elements were determined in a total of 42 olive oils from Tunisia, Spain (Basque country), and southern France, and in nine soil samples from Tunisia by quadrupole inductively plasma mass spectrometry. The compilation of appropriate techniques integrated into the analytical procedure achieved a precision (RSD) between 2% and 15% and low limits of detection (between 0.0002 and 0.313 µg kg−1). The accuracy of the analytical method applied for olive oil analysis was evaluated using SRM NIST 2387 Peanut butter. The recoveries obtained after microwave-assisted digestion for the certified elements ranged between 86% and 102%. Concentrations of non-certified elements (V, Cr, Co, Ni, Ba, Rb, Sr, Cd, Pb, and As) were presented. The use of Pearson correlation applied on paired Tunisian oil/soil samples has shown that several elements (Mg, Mn, Ni, and Sr) were significantly correlated. The multivariate statistics using principal component analysis have successfully discriminated against three studied origins. The most significant variables were the elemental concentrations of Cu, Cr, Fe, Mn, Sr, V, and Zn. This study shows the potential of applying trace elements profiles for olive oil geographical discrimination.

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“…Phenolic compounds and olive leaves calcium, nitrogen, and sodium contents were positively associated. These components have been raised by plants to speed up photosynthetic rate, promote plant development, and boost resistance to drought stress [53]. An example is the olive leaf's total phenolic level which decreases as geographic altitude decreases.…”

Section: Artificial Neural Network (Ann) Modelingmentioning

confidence: 99%

Unraveling Biotic and Abiotic Factors Shaping Sugarcane Straw Polyphenolic Richness: A Gateway to Artificial Intelligence-Driven Crop Management

Oliveira,

Carvalho,

Silva

et al. 2023

Antioxidants

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Sugarcane straw (Saccharum officinarum) is a valuable coproduct renowned for its abundant polyphenolic content. However, extracting these polyphenols for natural ingredients faces challenges due to their inherent variability, influenced by biotic stress factors and plant characteristics. We explored the impact of five crucial factors on sugarcane straw polyphenolic diversity: (i) production area (Guariba, Valparaíso), (ii) borer insect (Diatraea saccharalis) infestation, (iii) plant age (first to seventh harvest), (iv) harvest season, and (v) plant variety. Response surface methodology (RSM) and artificial neural networks (ANN) were used to optimize polyphenol extraction conditions. A second-order polynomial model guided us to predict ideal sugarcane straw harvesting conditions for polyphenol-rich extracts. The analysis identified CU0618-variety straw, harvested in Guariba during the dry season (October 2020), at the seventh harvest stage, with 13.81% borer insect infection, as the prime source for high hydroxybenzoic acid (1010 µg/g), hydroxycinnamic acid (3119 µg/g), and flavone (573 µg/g) content and consequently high antioxidant capacity. The ANN model surpasses the RSM model, demonstrating superior predictive capabilities with higher coefficients of determination and reduced mean absolute deviations for each polyphenol class. This underscores the potential of artificial neural networks in forecasting and enhancing polyphenol extraction conditions, setting the stage for AI-driven advancements in crop management.

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Assessment of the Climatic Condition’s Impact on Volatiles, Polyphenols and Mineral Contents in Tunisian Olive Tree (<i>Olea europaea</i> L.)

Cited by 9 publications

References 27 publications

Effect of Geographical Location on the Phenolic and Mineral Composition of Chetoui Olive Leaves

Effect of Geographical Location on the Phenolic and Mineral Composition of Chetoui Olive Leaves

Trace Elements Analysis of Tunisian and European Extra Virgin Olive Oils by ICP-MS and Chemometrics for Geographical Discrimination

Unraveling Biotic and Abiotic Factors Shaping Sugarcane Straw Polyphenolic Richness: A Gateway to Artificial Intelligence-Driven Crop Management

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