JOURNAL ARTICLE
Formulation of Health Boosting Foods by Exploring the Microbial Wealth Harbouring in Ethnic Food System of Indian Himalayas.
Published In: Flavour & Fragrance Journal, 2025, v. 40, n. 3. P. 402 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Gautam, Neha; Sharma, Nivedita; Ahlawat, Yogesh K.; Sharma, Nisha 3 of 3
Abstract
Nowadays, traditional food/ethnic foods have vanished from the diet of majority of young people. There is a need to preserve endangered and rarely used fermented food items to maintain the good health of future generations. Therefore, there is a scope for food industry to make an effort to explore nutrient rich sources out of these rarely used foods. The blending of ethnic and traditional foods in a scientific way could trigger many cumulative foods adding fresh dimensions simultaneously preserving functional properties of these foods and providing health benefits. The Himalayan states harbours more thousands types of fermented foods/ethnic foods being consumed. The majority of food consumed by the population in remote areas of the country includes a variety of ethnic dishes from the Indian Himalayas, such as Sepu Bari, Seera, Salori, Bhaturu, Aenkali, Childa‐bhala, Gundruck, Dhulliachar, Jaanr, Angoori, Chuli, Auria, Jhol, Chhang and Churpi. These foods have seldom been explored for their potential to yield new and health‐promoting microorganisms. For the first time, the aforementioned items have been investigated for the isolation and identification of safe, food‐grade bacteria, paving the way for the development of innovative health foods with functional properties. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Flavour & Fragrance Journal. 2025/05, Vol. 40, Issue 3, p402
- Document Type:Article
- Subject Area:Geology
- Publication Date:2025
- ISSN:0882-5734
- DOI:10.1002/ffj.3844
- Accession Number:185839498
- Copyright Statement:Copyright of Flavour & Fragrance Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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