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Optimization of ultrasound-assisted extraction from Olea europaea leaves and analysis of their antioxidant and enzyme inhibition activities

Food Bioscience · Ocak 2025

Özet
Olive leaves (Olea europaea L.) are rich source of bioactive compounds but are usually declared as bio-waste. Knowledge from traditional medicine, supported by modern research, has shown the high value of this bio-waste, and the great benefits of its use. The first step in exploiting the biological potential of olive leaves is the rationalization of the extraction process, through which extracts with high biological and market value could be obtained. This study aimed to investigate the influence of different extraction parameters, including solvent concentration, time, temperature, and ratio, on total phenolics, total flavonoids, antioxidant and enzyme-inhibiton activities. The optimal extraction conditions were determined using an Artificial Neural Network (ANN) model. The results revealed that the optimal conditions for the extraction of total bioactive compounds and antioxidant activities from olive leaves were obtained using ethanol concentration of 90%, extraction time 15 min, temperature of 45 °C, and plant:ethanol ratio 1:30. Under these conditions, the extract exhibited high levels of total phenolic content (TPC: 89.05 ± 3.9 mg GAE/g), total flavonoid content (TFC: 19.98 ± 0.38 mg RE/g), and potent antioxidant activity (DPPH: 195.12 ± 6.85 mg TE/g, ABTS: 270.73 ± 1.00 mg TE/g, CUPRAC: 66.14 ± 25.27 mg TE/g, FRAP: 233.58 ± 21.33 mg TE/g). Additionally, the extract demonstrated significant inhibitory effects on α-amylase (0.35 ± 0.00 mmol ACE/g) and tyrosinase (49.23 ± 1.22 mg KAE/g) enzymes. Taken together, the presented results may be valuable for the preparation of health-promoting formulations using olive leaves in the pharmaceutical and cosmeceutical industries.
5 atıf Ocak 2025 DOI
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Optimization of ultrasound-assisted extraction from Olea europaea leaves and analysis of their antioxidant and enzyme inhibition activities
Food Bioscience · 2025 SCI
Prof. Dr. GÖKHAN ZENGİN →
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Makale Bilgileri

Toplam Atıf 5 atıf · Scopus
ISSN22124292
Yayın TarihiOcak 2025
Cilt / Sayfa63

Kurumlar

Erciyes Üniversitesi
Kayseri Turkey
Selçuk Üniversitesi
Selçuklu Turkey
University of Novi Sad
Novi Sad Serbia

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Scimago Dergi (ISSN Eşleşmesi)
Food Bioscience
Q1
SJR Skoru1,119
H-Index94
YayıncıElsevier Ltd
ÜlkeUnited Kingdom
Biochemistry (Q1)
Food Science (Q1)
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