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Extraction and Identification of Active Components from Herbs for their Application for Prevention of Poly Cystic Ovary Syndrome

Vol 10 , Issue 1 , January - March 2022 | Pages: 33-37 | Research Paper  

https://doi.org/10.51976/ijari.1012206

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Author Details ( * ) denotes Corresponding author

1. * Virpal Kaur, CT University, Ludhiana, Punjab, India (dhaliwalg185@gmail.com)
2. Parul Thapar, Department of Food Technology, Gandhi Institute of Technology and Management (GITAM) Deemed University, Hyderabad, Telangana, India (parul.thapar@yahoo.com)
3. Saruch CT Institute of Pharmaceutical Sciences, Shahpur Campus, Jalandhar, Punjab, India (suruchinitj15@gmail.com)

Polycystic ovary syndrome (PCOS) is a common gynecological endocrine disorder that causes reproductive and metabolic disturbances. PCOS is more common in females who have obesity and it can also be a genetic disorder in some females. During a study on teen age 17-19 years aged girls in Thailand, the prevalence rate of PCOS syndrome was 5.29 %. While, the studies in Iran had shown the prevalence rate to be 8.3% to 11.4% (Naz et al, 2019). PCOS can be treated by allopathic medicines but they have number of side effects in women like acne and menstrual irregularity. Therefore, in this study an alternative solution has been taken to prevent PCOS by the application of herbs. In this study, 7 samples of herbs were considered. Sample of Cinnamon (dalchini) was collected from a field of Punjab Agriculture University Ludhiana; Curcuma longa (turmeric), Mentha piperita (pippermint) and Allium sativum (garlic) were taken from Gurudwara Bhora Sahib (Jagraon); Ocimum sanctum (tulsi), Azadirachta indica (neem) and Casearia esculanta (saptrangi) were collected from Farm house of CT university campus (Mullanpur). These samples were dried for 48 hours at temperature 38˚C. The process of solvent extraction was used to extract the active components. To identify the extracted constituents from herbs, thin layer chromatography (TLC) was done. Some biochemical tests were performed, to confirm the presence of the identified components. From these 7 samples the active components that were successfully identified were cinnamaldehyde, allicin, estradiol and diterpenoids, alkaloids and flavonoids. These components will be further used for the preparation of herbal medicine against

Keywords

Polycystic Ovary Syndrome; Estrogen hormone; Obesity; Insulin resistance; Herbs and Solvent extraction


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