Paper Title

Nutritional value added fortified cookies with psyllium husk

Authors

Pallavi Tripathi , Madhavi Daniel , Priyanka Shankar

Keywords

Isabgol, cookies, proximate analysis, dietary fiber.

Abstract

Psyllium husk is currently being investigated for usage in digestive cookies. For psyllium husk characterization, psyllium husk was substituted for moisture, crude protein, fat, ash, and fibre, with husk values of 10.43 percent, 3.8 percent, 1.7 percent, 6.63 percent, and 2.97 percent, respectively. According to a chemical investigation, Control Cookies have a high crude protein level. Psyllium husk-based cookies had higher moisture, ash, and crude fibre content. Digestible cookies were also shown to have a higher nutritional value. The use of psyllium husk in digestive cookies is currently being researched. In various combinations, psyllium husk was substituted for refined wheat flour at a rate of 25%. Control Cookies had a high crude protein level, according to a chemical analysis. Cookies made with psyllium husk showed greater moisture, ash, and crude fibre content. It was also shown that digestible cookies have a higher nutritional value.

How To Cite

"Nutritional value added fortified cookies with psyllium husk", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 6, page no.117 - 120, June-2022, Available :https://ijsdr.org/papers/IJSDR2206019.pdf

Issue

Volume 7 Issue 6, June-2022

Pages : 117 - 120

Other Publication Details

Paper Reg. ID: IJSDR_200554

Published Paper Id: IJSDR2206019

Downloads: 000347063

Research Area: Science & Technology

Country: Lucknow, uttar pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2206019

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2206019

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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