بهینهسازی پارامترهای موثر در استخراج اسانس از بذر (Heracleum persicum Desf. Ex Fischer) با استفاده از روش سطح پاسخ
محورهای موضوعی : گیاهان دارویی
محمد فتاحی
1
(هیات علمی گروه باغبانی دانشگاه ارومیه)
مریم رضاپور
2
(گروه علوم باغبانی، دانشکده کشاورزی، دانشگاه ارومیه)
کلید واژه: روش سطح پاسخ, استخراج اسانس روغن, بهینهسازی (Heracleum persicum Desf. Ex Fischer),
چکیده مقاله :
چکیده امروزه استفاده از اسانسهای گیاهی در صنایع غذا و دارو در حال افزایش است. لذا مطالعه حاضر، با هدف بهینهسازی فاکتورهای موثر در به حداکثر رساندن عملکرد اسانس و تعیین ترکیبات اسانس در شرایط بهینه صورت گرفت. اثر پارامترهای: مقادیر مختلف گیاه (X1)، زمان اسانسگیری (X2) و اندازه ذرات بذرها با مش (X3)، در سه سطح (1، 0، 1-) به‌عنوان متغیر مستقل، برای بهینهسازی درصد اسانس به عنوان متغیر وابسته با استفاده از روش سطح پاسخ بررسی شد. پس از جمع‌آوری بذرهای گیاه گلپر از منطقه آینالو (آذربایجان شرقی) در مرداد ماه 1394، اسانس به روش تقطیر با آب توسط دستگاه کلونجر استخراج شد و شناسایی ترکیبات اسانس با استفاده از دستگاه GC-MS صورت گرفت. نتایج تجزیه ANOVA و اشتباه آزمایشی برای مدل RSM نشان داد که مدل پیشبینی شده برای درصد اسانس به‌طور معنیداری دقیق است (P
Abstract In the recent years use of plant essential oils (EOs) in the food and medicine industry is increasing. So, the aim of this study was to optimize effective factors for maximizing essential oil yield and evaluation of its composition under the optimal conditions. The effect of different parameters including different amounts of plant (X1), extraction time of essential oils (X2) and particle size of seeds obtained with mesh (X3) on three levels (1, 0, 1-) as independent variable to optimize essential oil percentage as dependent variables were evaluated using response surface methodology. The seeds of Heracleum persicum Desf. Ex Fischer were collected from Ayalono area (East Azerbaijan) in August 2015. The essential oil was extracted by Clevenger apparatus and were identified by GC/MS. ANOVA analysis results and experimental error for the RSM model were showed that the predicted model for the essential oil percentage was significantly accurate (P
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