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SCI JCR Q1 Özgün Makale Scopus
Optimization of ultrasound-assisted extraction from Olea europaea leaves and analysis of their antioxidant and enzyme inhibition activities
Food Bioscience 2025 Cilt 63
Scopus Eşleşmesi Bulundu
63
Cilt
Scopus Yazarları: Sengul Uysal, Biljana Lončar, Aleksandra Cvetanović Kljakić, Gokhan Zengin
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.
Anahtar Kelimeler (Scopus)
Enyzme inhibiton Antioxidant Olive leaves Artificial neural network (ANN) Optimization

Anahtar Kelimeler

Enyzme inhibiton Antioxidant Olive leaves Artificial neural network (ANN) Optimization

Makale Bilgileri

Dergi Food Bioscience
ISSN 2212-4292
Yıl 2025 / 1. ay
Cilt / Sayı 63
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI
JCR Quartile Q1
Yayın Dili Türkçe
Kapsam Uluslararası
Toplam Yazar 4 kişi
Erişim Türü Basılı+Elektronik
Erişim Linki Makaleye Git
Alan Fen Bilimleri ve Matematik Temel Alanı Biyoloji

YÖKSİS Yazar Kaydı

Yazar Adı UYSAL ŞENGÜL,Loncar Biljana,Kljakic Aleksandra Cvetanovic,ZENGİN GÖKHAN
YÖKSİS ID 8468153

Metrikler

JCR Quartile Q1
Yazar Sayısı 4