year 22, Issue 87 (12-2023)
J. Med. Plants 2023, 22(87): 97-113 |
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Research code: 9311266020
Ethics code: IR.TUMS.TIPS.REC.1400.182
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Tofighi Z, Khoshayand M R, Besati M, Pirali Hamedani M, Hadjiakhoondi A, Khorshidi A, et al . The optimization of Fenugreek seeds (Trigonella foenum-graecum L.) extraction by response surface methodology based on β-Sitosterol. J. Med. Plants 2023; 22 (87) :97-113
URL: http://jmp.ir/article-1-3570-en.html
URL: http://jmp.ir/article-1-3570-en.html
Zahra Tofighi1 
, Mohammad Reza Khoshayand2 , Masoud Besati3 , Mostafa Pirali Hamedani4 , Abbas Hadjiakhoondi1 , Ali Khorshidi4 , Arian Salimi5 , Saied Goodarzi * 6
, Mohammad Reza Khoshayand2 , Masoud Besati3 , Mostafa Pirali Hamedani4 , Abbas Hadjiakhoondi1 , Ali Khorshidi4 , Arian Salimi5 , Saied Goodarzi * 6
1- Medicinal Plants Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran; Department of Pharmacognosy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
2- Department of Drug and Food Control, Faculty of Pharmacy, Tehran University of Medical Sciences, Iran
3- Department of Medicinal Chemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran
4- Department of Pharmacognosy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
5- Medicinal Plants Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
6- Medicinal Plants Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran; The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Science, Tehran, Iran , goodarzi_s@sina.tums.ac.ir
2- Department of Drug and Food Control, Faculty of Pharmacy, Tehran University of Medical Sciences, Iran
3- Department of Medicinal Chemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran
4- Department of Pharmacognosy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
5- Medicinal Plants Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
6- Medicinal Plants Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran; The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Science, Tehran, Iran , goodarzi_s@sina.tums.ac.ir
Abstract: (353 Views)
Background: Fenugreek is one of the most widely used medicinal plants in terms of therapeutic properties, and numerous pharmacological effects have been found in various studies. Fenugreek seed extract contains many effective substances, including phytosterols (mainly β-Sitosterol). Objective: This investigation was conducted to determine the optimal extraction method for fenugreek seeds based on the amount of β-Sitosterol detected on HPLC using a response surface methodology (RSM). Methods: At first, the appropriate solvent was selected. The main variables affecting the extraction efficiency, including temperature, time, solvent percentage, and the ratio of solvent to powder, were investigated to optimize the best method. Optimizing the number of 29 experiments determined that extraction was done using the dynamic maceration method. After finding the optimized method, the extracts were injected into the HPLC device three times to determine the amount of total β-Sitosterol. Then it was modelled, and the final formula was obtained. Results: The analysis of results were shown that the optimal extract (based on the amount of total β-Sitosterol and weight), using the dynamic maceration extraction method with 96 % ethanol at a temperature of 44 ˚C, a duration of 30 minutes, a solvent percentage of 70 % and a ratio of solvent to powder of 7:1 was obtained. Conclusion: The findings suggest the, this method seams the most efficient for maximum extraction of the β-Sitosterol compound from fenugreek seeds.
Keywords: Trigonella foenum-graecum L., Box-Behnken Design, Response Surface Method, β-Sitosterol, HPLC
Type of Study: Research |
Subject:
Pharmacognosy & Pharmaceutics
Received: 2023/10/23 | Accepted: 2024/02/5 | Published: 2023/12/31
Received: 2023/10/23 | Accepted: 2024/02/5 | Published: 2023/12/31
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