INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Dandruff is a skin condition with symptoms includes flaking and sometimes mild itchiness cause to the scalp. There are many bacteria, fungus causing scalp infections which leads to further hair problem. Malassezia furfur is considered to be the cause of dandruff. Dandruff may also be caused by changes in humidity, trauma, seasonal changes or emotional stress. There is one of the common condition dandruff. Herbal extract of neem, amla, aloe vera, tulsi, onion, tea and hibiscus found to be effective in treating dandruff. Neem powder shows antibacterial and antifungal activity on gram positive and gram negative bacteria. Vitamin C in amla which is 20 times more than that of orange prevents premature graying of hairs. Aloe vera nourishes the hairs, hibiscus provides luster to hairs. Tea act as an antioxidant, tulsi is also antibacterial in nature. Onion is used for hair growth and to strengthen the follicle. Gel formulation was prepared using xanthan gum, glycerin. The evaluation tests were performed which include tests for stability, physical and chemical properties.
"FORMULATION AND EVALUATION OF POLY-HERBAL ANTI-DANDRUFF HAIR GEL", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d730-d738, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305393.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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