Relationship between total phenolic, total flavonoid and oleuropein in different aged olive (&lt;i&gt;Olea europaea&lt;/i&gt; l.) Cultivar leaves

Çetinkaya, Hakan; Kulak, Muhittin

doi:10.4314/ajtcam.v13i2.10

Cited by 5 publications

(5 citation statements)

References 15 publications

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“…the levels of phenolic compounds were similar between Y and O leaves, which is in agreement with other findings [31]. In fact, it has been found that phenolic contents in different aged olive (Olea europaea L.) cultivar leaves exhibited similar levels [31]. The levels of phenolic compounds in fresh leaves obtained in the present work were slightly lower than the data reported in the literature for Portuguese olive leaf cultivars (i.e.…”

Section: Effect Of Phenolic Compounds On Proliferation Of Human Carcisupporting

confidence: 92%

“…Regarding A549 cell line, the highest cell growth inhibition was 70% for Cobrançosa (Y), followed by Verdeal (Y), Galega (O), Arbequina (O) and Madural (Y) (Figure 8). the levels of phenolic compounds were similar between Y and O leaves, which is in agreement with other findings [31]. In fact, it has been found that phenolic contents in different aged olive (Olea europaea L.) cultivar leaves exhibited similar levels [31].…”

Section: Effect Of Phenolic Compounds On Proliferation Of Human Carcisupporting

confidence: 91%

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Extraction of Phenolic Compounds from Olive Leaf Extracts and Their Effect on Proliferation of Human Carcinoma Cell Lines

Martinho¹,

Karmali²,

Rosa³

2019

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The aim of this work was to evaluate the effect of different olive leaf extracts (OLE) from different leaf growing stages on human carcinoma cell lines. OLE were tested in human carcinoma cell lines in vitro and cells were plated in 96-microtiter culture plates for each OLE concentration. Fresh (F) and freeze-dried (FD) leaves exhibited phenolic compounds in the range of 2.09 ± 0.10 to 8.44 ± 0.64 and 7.72 ± 0.56 to 24.65 ± 1.9 mg gallic acid equivalents/g leaves, respectively. OLE from several Portuguese olive tree cultivars were found to inhibit the growth of human carcinoma cell lines in a range of 2.09-8.44 μg phenolic compound/well (209-844 μg/ml) and 0.07-2.40 μg phenolic compounds/well (7-240 μg/ml) for fresh and freeze-dried leaves, respectively. Young (Y) leaves have revealed the highest cell growth inhibition ranging from about 95% for Cobrançosa, followed by 90% for Cobrançosa, 90% for Arbequina and 75% for Arbequina for cell lines A549, HeLa, A431 and OE21, respectively. The lowest cell growth inhibition (35%) was observed for Galega (Y) leaf extract on cell line A549. However, FD samples exhibited a distinctive pattern since cell growth inhibition was highest at highest extract dilution tested, for A431 (Galega Y) followed by A549 (Cobrançosa Y) with cell inhibition of 75% and 70%, respectively. The data presented in this work strongly suggest that OLEs inhibit the growth of human carcinoma cell lines.

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Section: Effect Of Phenolic Compounds On Proliferation Of Human Carcisupporting

confidence: 92%

Section: Effect Of Phenolic Compounds On Proliferation Of Human Carcisupporting

confidence: 91%

Extraction of Phenolic Compounds from Olive Leaf Extracts and Their Effect on Proliferation of Human Carcinoma Cell Lines

Martinho¹,

Karmali²,

Rosa³

2019

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“…For this reason, a total of ≈1200 samples were collected within 18 classes. Four classes related to olive trees whose spectral differences are influenced by ecological conditions, tree age, agronomic processes, variety, leaf growth rate and other abiotic and biotic stress factors [60].…”

Section: Adding Test Samplesmentioning

confidence: 99%

Comparative Assessment of Pixel and Object-Based Approaches for Mapping of Olive Tree Crowns Based on UAV Multispectral Imagery

et al. 2022

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Pixel-based (PB) and geographic-object-based (GEOBIA) classification approaches allow the extraction of different objects from multispectral images (MS). The primary goal of this research was the analysis of UAV imagery applicability and accuracy assessment of MLC and SVM classification algorithms within PB and GEOBIA classification approaches. The secondary goal was to use different accuracy assessment metrics to determine which of the two tested classification algorithms (SVM and MLC) most reliably distinguishes olive tree crowns and which approach is more accurate (PB or GEOBIA). The third goal was to add false polygon samples for Correctness (COR), Completeness (COM) and Overall Quality (OQ) metrics and use them to calculate the Total Accuracy (TA). The methodology can be divided into six steps, from data acquisition to selection of the best classification algorithm after accuracy assessment. High-quality DOP (digital orthophoto) and UAVMS were generated. A new accuracy metric, called Total Accuracy (TA), combined both false and true positive polygon samples, thus providing a more comprehensive insight into the assessed classification accuracy. The SVM (GEOBIA) was the most reliable classification algorithm for extracting olive tree crowns from UAVMS imagery. The assessment carried out indicated that application of GEOBIA-SVM achieved a TACOR of 0.527, TACOM of 0.811, TAOQ of 0.745, Overall Accuracy (OA) of 0.926 or 0.980 and Area Under Curve (AUC) value of 0.904 or 0.929. The calculated accuracy metrics confirmed that the GEOBIA approach (SVM and MLC) achieved more accurate olive tree crown extraction than the PB approach (SVM and MLC) if applied to classifying VHR UAVMS imagery. The SVM classification algorithm extracted olive tree crowns more accurately than MLC in both approaches. However, the accuracy assessment has proven that PB classification algorithms can also achieve satisfactory accuracy.

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“…However, the content of phenolics in plants is dynamic and changes according to environmental and developmental conditions [6,9]. In crop plants, phenolics content in leaves somewhat decreases with age, likely because of the decrease in photosynthate supply during leaf maturation [10][11][12][13]. This trend was generally confirmed in tomato, but different phenolic compounds followed different patterns during leaf development and aging [9].…”

Section: Introductionmentioning

confidence: 86%

Production of Defense Phenolics in Tomato Leaves of Different Age

et al. 2020

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Phenolics play an essential role in the defense reaction of crop plants against pathogens. However, the intensity of their production induced by infection may differ during the life of a plant. Here, we identified age-related differences in phenolic biosynthesis in the pathosystem Solanum lycopersicum cv. Amateur and Pseudomonas syringae pv. tomato DC3000. We analyzed concentrations of total phenolics, phenolic profiles, and concentrations of selected phenolic acids. The influence of bacterial infection, together with leaf and plant age, was assessed. The changes in concentrations of caffeic acid, 4-hydroxybenzoic acid, and salicylic acid glucoside caused by infection were found to be influenced by age. In concrete, the increases in the concentrations of these metabolites were all evident only in young plants.

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Relationship between total phenolic, total flavonoid and oleuropein in different aged olive (<i>Olea europaea</i> l.) Cultivar leaves

Cited by 5 publications

References 15 publications

Extraction of Phenolic Compounds from Olive Leaf Extracts and Their Effect on Proliferation of Human Carcinoma Cell Lines

Extraction of Phenolic Compounds from Olive Leaf Extracts and Their Effect on Proliferation of Human Carcinoma Cell Lines

Comparative Assessment of Pixel and Object-Based Approaches for Mapping of Olive Tree Crowns Based on UAV Multispectral Imagery

Production of Defense Phenolics in Tomato Leaves of Different Age

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