ArticleScientific reports2021
A modeling method for the development of a bioprocess to optimally produce umqombothi (a South African traditional beer).
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- GC-MS-Based Metabolomics for Understanding the Metabolite Profile of Mopane Worm (Gonimbrasia belina) and Sorghum (Sorghum bicolor L).Journal of food science · 2025Article
- AI-enhanced bioprocess technologies: machine learning implementations from upstream to downstream operations.World journal of microbiology & biotechnology · 2025Review
- Neural network-ant-colony hybrid optimization of a bacterial fruit juice clarifying metallo-neutral-protease production.Journal of food science and technology · 2025Article
- Optimization of preparation conditions for Salsola laricifolia protoplasts using response surface methodology and artificial neural network modeling.Plant methods · 2024Article
- Physicochemical and microbiological changes during two-stage fermentation production of umqombothi.Heliyon · 2024Article
- Mathematical modeling and optimization of pasteurization for the internal pressure and physical quality of canned beer.Heliyon · 2023Article
- Analysis of the bacterial and fungal populations in South African sorghum beer (umqombothi) using full-length 16S rRNA amplicon sequencing.World journal of microbiology & biotechnology · 2023Article
- Experimental and Statistical Study on the Properties of Basic Oxygen Furnace Slag and Ground Granulated Blast Furnace Slag Based Alkali-Activated Mortar.Materials (Basel, Switzerland) · 2023Article
- Physicochemical, structural analysis of coal discards (and sewage sludge) (co)-HTC derived biochar for a sustainable carbon economy and evaluation of the liquid by-product.Scientific reports · 2022Article
- Machine learning approaches for biomolecular, biophysical, and biomaterials research.Biophysics reviews · 2022Review
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Authors and funding
5 authors.
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Abstract
Bioprocess development for umqombothi (a South African traditional beer) as with other traditional beer products can be complex. As a result, beverage bioprocess development is shifting towards new systematic protocols of experimentation. Traditional optimization methods such as response surface methodology (RSM) require further comparison with a relevant machine learning system. Artificial neural network (ANN) is an effective non-linear multivariate tool in bioprocessing, with enormous generalization, prediction, and validation capabilities. ANN bioprocess development and optimization of umqombothi were done using RSM and ANN. The optimum condition values were 1.1 h, 29.3 °C, and 25.9 h for cooking time, fermentation temperature, and fermentation time, respectively. RSM was an effective tool for the optimization of umqombothi's bioprocessing parameters shown by the coefficient of determination (R
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