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)
The purpose of the current study is to develop and assess an anti-dandruff shampoo that uses natural ingredients, with a focus on its efficacy and safety. It eliminates dandruff and dust, encourages hair development, and darkens the hair. The anti-dandruff extract from Hibiscus leaf, Neem leaf, Betel leaf, orange peel, amla powder, and Aloe Vera leaf is combined in various ratios to create the shampoo. For disfigurement assessment, wetting time, pH measurement, viscosity, assurance of solid content, surface tension, dirt dispersion, conditioning performance, and foam stability, a number of physical and chemical tests were conducted. The designed anti-dandruff shampoo has a brown colour, a low surface tension, an ideal pH, and conditioning activity that can be seen in the froth stability and cleaning ability. These are all the qualities that a high-quality anti-dandruff shampoo should have.
Keywords:
Antidandruff, Natural Ingredient, hair care, Natural Plants, Surfactant, Synthetic Shampoos, Hibiscus rosa-sinensis, Evaluation of Shampoo, Natural and Healthy.
Cite Article:
"FORMULATION AND EVALUTION OF ANTIDANDRUFF HERBAL SHAMPOO", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.d590-d602, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306361.pdf
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ISSN:
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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