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Journal of Medicinal Plants and By-products، جلد ۱۳، شماره Special، صفحات ۸۹۷-۹۰۶
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عنوان انگلیسی Investigating the Antioxidant Activity of Two Medicinal Plants; Thymus daenensis Čelak. And Echinophora cinerea (Boiss.) Hedge & Lamond Essential Oils in Soybean Oil by Neuro-Fuzzy Modeling
چکیده انگلیسی مقاله The aim of this study was to evaluate the composition of essential oils from Thymus daenensis Čelak. and Echinophora cinerea (Boiss.) Hedge & Lamond and predict oil oxidation using Neuro-Fuzzy modeling. In the hydrodistillation (HD) method, the starting time and total time for essential oil accumulation were 24 and 235 minutes, respectively. In the microwave-assisted hydrodistillation (MACE) method, these times were 8 and 58 minutes, respectively. The results indicated that the extraction yields of T. daenensis and E. cinerea using the HD and MACE methods were 2.26%, 2.34%, 1.18%, and 1.37%, respectively. For E. cinerea, the results were as follows. T. daenensis at a dosage of 500 mg/kg and E. cinerea at a dosage of 1000 mg/kg exhibited the most effective antioxidant activity. GC-Mass analysis results showed that thymol (39.8%) and p-cymene (19.2%) are the major compounds of T. daenensis, while α-phellandrene (16.6%), α-pinene (16.5%), p-cymene (15.8%), and thymol (13.3%) are the major compounds of E. cinerea's essential oil. Prediction of antioxidant activity for T. daenensis and E. cinerea involved using a feedforward backpropagation network with a topology of 2-4-3 and 2-3-3 as the optimized models, respectively. Neuro-fuzzy modeling was a suitable approach for assessing soybean oil's oxidation rate and evaluating essential oils' antioxidant properties.
کلیدواژه‌های انگلیسی مقاله medicinal plant, Thymus daenensis, Echinophora cinerea, essential oil, Neuro-fuzzy
نویسندگان مقاله Sajad Ghaderi |
Department of Nutrition, Faculty of Health and Nutrition Sciences, Yasuj University of Medical Science (YUMS), Iran

Vahid Karimian |
Department of Forest, Range and Watershed Management, Faculty of Agriculture and Natural Resources, Yasouj University, Yasouj, Iran

Parvin Ramak |
Research Division of Natural Resources, Lorestan Agricultural and Natural Resources Research and Education Center, AREEO, Khorramabad, Iran

نشانی اینترنتی https://jmpb.areeo.ac.ir/article_131543_81f9acbcf3f4243e212e797eceaefdc6.pdf
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