Investigating the Antioxidant Activity of Two Medicinal Plants; Thymus daenensis Celak. And Echinophora cinerea (Boiss.) Hedge & Lamond Essential Oils in Soybean Oil by Neuro-Fuzzy Modeling.

Ghaderi, Sajad; Karimian, Vahid; Ramak, Parvin

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.

ANTIOXIDANTS; PHARMACEUTICAL industry; MEDICINAL plants; PLANT extracts; ESSENTIAL oils

Journal of Medicinal Plants & By-Products, 2024, Vol 13, p897

2322-1399

Academic Journal

10.22034/jmpb.2024.364124.1627