Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleAçık Erişim2025FARKLI FORMLARDAKİ KUDRET NARI (Momordica charantia L.) MEYVELERİNİN ANTİOKSİDAN VE ANTİMİKROBİYAL ÖZELLİKLERİNİN KARŞILAŞTIRILMASI
Ilter, Seyda Merve; Sagdic, Osman; Ekici, Lütfiye; Dedebas, Tugba
Bu çalışmada kudret narının (Momordica charantia L) farklı formlarının (ham ve olgun kudret narı, zeytinyağlı karışımı ile ticari toz formu) antioksidan ve antimikrobiyal özelliklerinin belirlenmesi amaçlanmıştır. Çalışmada üç farklı çözücüyle (su, metanol ve etanol) ekstrakte edilen örneklerin toplam fenolik madde miktarı (, DPPH serbest radikal süpürücü madde miktarı ve toplam antioksidan miktarı belirlenmiştir. Olgun, ham, zeytinyağlı ve toz kudret narı örneklerinin su, etanol ve metanol ekstraktlarının toplam fenolik madde miktarları sırasıyla 245,43-453,77; 26,83-475,18 ve 22,14-695,49 mg GAE/L aralığında belirlenmiştir. En düşük toplam fenolik madde miktarı 22,14 mg GAE/L ile toz kudret narının metanolik ekstraktlarında belirlenirken en yüksek fenolik madde miktarı ise 695,49 mg GAE/L ile olgun kudret narının metanolik ekstraktlarında tespit edilmiştir. Olgun kudret narının su, etanol ve metanol ekstraktlarının tümü Aeromonas hydrophila, Bacillus subtilis ve Escherichia coli O157:H7`karşı etkili olduğu görülmüştür. Bununla birlikte Listeria. Monocytogenes karşı zeytin yağlı kudret narının su ve etanol ile ekstraktlarının diğer formlarına göre antimikrobiyal aktivite gösterdiği saptanmıştır. Çalışmada elde edilen verilere göre insan sağlığı üzerine olumlu etkileri nedeni ile piyasada bulunan farklı kudret narı formlarının biyoaktivite içeriklerine ışık tutabileceği düşünülmektedir.
- MakaleYalnız künye2021Effects of GSM 1800 band radiation on composition, structure and bioactivity of exopolysaccharides produced by yoghurt starter cultures
Karatas, Seyda Merve; Ekici, Lutfiye; Develi, Ibrahim; Dertli, Enes; Sagdic, Osman
In this study, the effects of GSM 1800 band radiation on composition, structure and bioactivity of exopolysaccharides (EPSs) produced by Lactobacillus delbrueckii subsp. bulgaricus and Streptococcus thermophilus were determined. For this, GSM 1800 band radiation was applied to both cultures and characteristics of EPSs extracted from the control groups (K) and the radiation stressed groups (R) were determined. An alteration in the chemical composition of the EPSs was observed and EPS production levels and molecular weights of the EPSs increased following the GSM 1800 band radiation application. Alterations in the functional groups, thermal and morphological characteristics of EPSs following the GSM 1800 band radiation application were confirmed by FTIR, TGA and SEM analysis, respectively. Importantly no alterations in the antioxidant and antibacterial activity of the EPSs were observed following the radiation application. These results suggested the effects of the GSM radiation on final characteristics of EPSs from yogurt starter cultures.
- MakaleYalnız künye2018Prediction of the antimicrobial activity of walnut (Juglans regia L.) kernel aqueous extracts using artificial neural network and multiple linear regression
Kavuncuoglu, Hatice; Kavuncuoglu, Erhan; Karatas, Seyda Merve; Benli, Büsra; Sagdic, Osman; Yalcin, Hasan
The mathematical model was established to determine the diameter of inhibition zone of the walnut extract on the twelve bacterial species. Type of extraction, concentration, and pathogens were taken as input variables. Two models were used with the aim of designing this system. One of them was developed with artificial neural networks (ANN), and the other was formed with multiple linear regression (MLR). Four common training algorithms were used. Levenberg–Marquardt (LM), Bayesian regulation (BR), scaled conjugate gradient (SCG) and resilient back propagation (RP) were investigated, and the algorithms were compared. Root mean squared error and correlation coefficient were evaluated as performance criteria. When these criteria were analyzed, ANN showed high prediction performance, while MLR showed low prediction performance. As a result, it is seen that when the different input values are provided to the system developed with ANN, the most accurate inhibition zone (IZ) estimates were obtained. The results of this study could offer new perspectives, particularly in the field of microbiology, because these could be applied to other type of extraction, concentrations, and pathogens, without resorting to experiments.