Predictive Modeling of Sequential Fermentation for Sustainable Date Vinegar Production From Unripe Kharak Dates
showed robust performance across all levels, with 30% date syrup concentration yielding the best balance of growth, acidity (2.3% w/v), and pH stability. Gaussian, Gompertz, Rational, Sinusoidal Fit, and Logistic models effectively described microbial dynamics. This work enhances byproduct valorization and supports scalable, dietary-friendly vinegar production.
Authors
- Soroush Jafari (ORCID: https://orcid.org/0000-0003-3599-321X)
- Morteza Khomeiri (ORCID: https://orcid.org/0000-0001-6119-5030)
- Mahdi Kashaninejad
- Alireza Sadeghi (ORCID: https://orcid.org/0000-0001-9073-5737)
- F Rasi
Institutions
- Ministry of Health and Medical Education (IR)
- Gorgan University of Agricultural Sciences and Natural Resources (IR)
Publication Details
- Journal
- Food Science & Nutrition
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1002/fsn3.71605
- Primary Topic
- Date Palm Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00