Standard values of evaluation parameters for flow properties of powder blend

Standard values of evaluation parameters for flow properties of powder blend

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The main objective of the present study was to develop and evaluate polyherbal tablet for the treatment of Polycystic Ovarian Syndrome (PCOS). For the formulation of tablet, the herbs were selected based on the concepts of pathophysiology and Ayurvedic perspective of the disease. The extracts of T. foenum graceum, C. longa, B. aristata, S. asoka, B...

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... results of pre-compression parameters of the powder blend of various formulations like bulk density, tapped density, angle of repose, Hausners ratio and Carrs compressibility index are reported in the Table 5. The standard value of precompression parameters is reported in Table 6. ...

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... The accelerated stability study revealed that the content of markers in the tablet does not deviate from more than 10% of the initial content indicating the stability of the tablet. 45 ...
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Aim of the study: PCOS is an endocrine condition that results in enlarged ovaries with tiny cysts on the margins. The present study aims to investigate the beneficial effect of polyherbal formulation in Letrozole induced PCOS in female Albino Wistar rats. Materials and methods: Acute toxicity study of the polyherbal formulation by administering a single dose (2000 mg/kg) was done in female Albino Wistar rats (20 weeks, 250 g) following OECD guideline 423. For PCOS induced study female Albino Wistar rats were divided into six groups (6 animals/group). Group I (control) was given 0.5% carboxymethylcellulose (CMC) suspension daily as vehicle control. Letrozole (1 mg/kg) was orally administered for 21 days in Group II to VI for induction of PCOS. After induction of PCOS, animals were treated with standard drug (Group III- Clomiphene citrate- 1 mg/kg) and polyherbal tablets (Group IV - 500 mg/kg, Group V- 750 mg/kg, and Group VI - 1000 mg/kg) up to 50 days. Vaginal smears were taken daily to check the estrous cycle. Body weight was measured weekly. Blood samples were withdrawn on 0,21 and 50 days for the determination of fasting blood glucose, lipid profile, LH, FSH, and hormonal levels. Results: Administration of letrozole caused the abnormality in serum sex hormone profile, lipid profile, glucose, and the estrous cycle. The treatment with polyherbal formulation significantly decreased (P < 0.0001) the level of testosterone and improved estradiol and progesterone levels (P < 0.0001). There was a decrease in elevated glucose levels from 71.51 ± 0.15 mg/dl in disease induced group to 57.33 ± 1.90 mg/dl in treatment groups. The triglycerides level was normalized to 33.41 ± 1.81 mg/dl and HDL level was increased to 40.63 ± 1.35 mg/dl in treatment groups. The polyherbal formulation by exerting its beneficial effect also caused the disappearance of the cysts in the ovaries. Conclusion: The polyherbal formulation was found to be effective in PCOS. The effect may be attributed to the individual herbs reported having a significant effect on the pathophysiology of letrozole induced PCOS.
... At the end it is concluded by suggesting some clinical methods for diagnosing PCOS. Prajapati et al. [93] discussed about the creation and Evaluation of a Polyherbal Tablet for Polycystic Ovarian Syndrome. ...
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    Polycystic Ovarian Syndrome, also known as PCOS, is a major hormonal imbalance affecting women primarily in their reproductive age. Women with PCOS may have either infrequent or extended menstrual cycles or sometimes excess male hormone i.e. androgen levels. The ovaries may grow with number of slight collections of fluid, called follicles that fail to release eggs every month regularly. It is also seen that PCOS not only affects a woman’s fertility but also indirectly causes various other health issues like type 2 Diabetes, obesity, blood pressure and other metabolic disorders. Recent researches have focussed on the use of different algorithms in Machine Learning to diagnose PCOS using structured or unstructured data. Therefore, in this study, a considerable Literature Review has been carried out to provide a detailed analysis of various algorithms that have been used to detect PCOS with their comparative study. Also some of the work particularly focuses on health issues, the food and dietary patterns and the ways to manage PCOS. Further, these algorithms are critically analysed to understand the framework and limitations that should be considered while putting forward the solutions relevant to the diagnosis of PCOS in an effective way.