مشخصات پژوهش

صفحه نخست /Optimization of Black ...
عنوان
Optimization of Black Raspberry extract by Ultrasonic-assisted Extraction Method
نوع پژوهش مقاله ارائه شده
کلیدواژه‌ها
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چکیده
Safe and healthy nutrition has a beneficial effect on human well-being. Various foods, such as berries, are known to inhibit cancer-promoting pre-proliferative signals. Among fruit and berry crops, raspberries demonstrate one with the widest ranges of biologically active substances [1]. Ultrasonicassisted extraction was employed for highly efficient separation of secondary metabolites from medicinal plants. Specifically, this extraction method was able to provide a higher content of beneficial compounds compared to conventional methods such as hot water bath, maceration, and soxhlet extraction, which have been used for many decades [2, 3]. The present study aimed to the optimizing of black raspberry extract using ultrasonic-assisted extraction method. Some of main parameters such as the kind of solvent, extraction time, power and cycle of ultrasonic, and plant to solvent ratio were optimized. The obtained results indicated that the optimized conditions were as follows: kind of solvent: methanol 80%; extraction time: 5 minute; ultrasonic power: 80%; ultrasonic cycle: 6; and plant to solvent ratio: 1:20 w/v. At optimum condition, the yield of extract was 128/1.043 mg/g dry weight (mg/g DW), whereas the yield of extract with maceration method was 21/1.006 mg/g DW. Also, total phenol and flavonoid contents as well as antioxidant activity of the extracts were studied. The analysis of total phenol and flavonoid contents was done using the Folin Ciocalteu and aluminum chloride methods, respectively. Also, DPPH (2,2-diphenyl-1-picryl-hydrazyl-hydrate) free radical was used to test the antioxidant property of the extracts. According to the results, the yield and biological activities of the extract was better than the extract obtained by classical method. So, using this method, the efficiency and biological activities of the extract were higher and can be used in food and pharmaceutical industries.
پژوهشگران ریحانه آشتاب (نفر اول)، سعید ملائی (نفر دوم)