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Author: search.filters.author.Thuy, Nguyen MinhSubject: search.filters.subject.modeling

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    MODELING AND OPTIMIZATION OF SACCHARIFICATION AND FERMENTATION OF BROKEN RICE
    (2026-01-01)
    Thuy, Nguyen Minh
    ;
    Hung, Tran Huy
    ;
    Viet Ha, Lam Thi
    ;
    Van Hao, Hong
    ;
    Giau, Tran Ngoc
    Rice wine is a traditional alcoholic beverage derived from fermented glutinous rice or broken rice. The method is separated into two steps: first, the rice is cooked and liquefied/saccharified by molds and enzymes, followed by fermentation. The study examined how Aspergillus oryzae (0.1 - 0.2%) and α-amylase (0.01 - 0.04%) affect starch liquefaction and saccharification, as well as how Saccharomyces bayanus concentration (0.02 - 0.05%) and total soluble solids content (22 - 26%) impact rice wine fermentation. To improve process prediction and optimization, an artificial neural network integrated with a genetic algorithm (ANN-GA) was applied to model the nonlinear relationships between process variables and fermentation performance. The optimization approach utilizing a machine learning-based model demonstrated better prediction ability. Compared with conventional regression approaches, the ANN-GA model provided improved predictive accuracy and enabled the identification of optimal processing conditions for both saccharification and fermentation stages. The optimum content of Aspergillus oryzae and α-amylase was 0.181% and 0.036%, respectively, resulting in high starch saccharification efficiency with a total soluble solids content of 27.2<sup>o</sup>Brix. The volume of sugar solution achieved was 34.01 mL (from 50 g rice, yield 68.02%). In addition, using the optimal content of Saccharomyces bayanus of 0.043% and fermenting in an environment with high soluble solids content of 24.88<sup>o</sup>Brix produced wine with high ethanol and ester content, 12.19% by volume and 0.93 g/L, respectively. The methanol content of the fermented product under these optimal conditions was lower (49.8 mg/L). These findings demonstrate that the integration of machine-learning-based optimization can effectively enhance fermentation efficiency while maintaining product safety. Overall, the optimized saccharification and fermentation parameters provide a viable approach for producing rice wine with higher quality and safety assurances for this traditional product.
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    IMPACT OF DRYING TEMPERATURES ON DRYING BEHAVIOURS, ENERGY CONSUMPTION AND QUALITY OF PURPLE SWEET POTATO FLOUR
    (2022-01-01)
    Thuy, Nguyen Minh
    ;
    Hiep, Le Huy
    ;
    Tai, Ngo Van
    ;
    Huong, Huynh Thi Thu
    ;
    Minh, Vo Quang
    to purple sweet potatoes could enhance the economic value of this material. Furthermore, energy consumption, as well as the change in the quality of the product, are the important characteristics that determine the product’s quality and effect on the environment. Material and methods. This research examined the impact of various drying temperatures on kinetic behaviour, effective moisture diffusivity coefficient (D<inf>eff</inf>), activation energy (E<inf>a</inf>), specific energy consumption (SEC), color, shrinkage and physicochemical characteristics of purple sweet potatoes. The final quality of the sample was also evaluated. Results. Seven models were applied and fitted to actual data of the drying process. The two-term model showed the best fit with high R<sup>2</sup>, and low RMSE and Chi-square. The calculated D<inf>eff</inf> and Ea values were 1.58– 2.67 m2/s and 17.95 kJ/mol, respectively. The energy consumption of drying purple sweet potatoes ranged from 107.92 to 119.01 kWh/kg. The quality of the product was maintained when a sample was dried at 60°C. Conclusion. Temperature strongly affected the quality of dried purple sweet potatoes and energy consumption. The first report about the value of energy used during the drying process of sweet potatoes also provides more information about the effect of the drying process on carbon emissions to the environment. Therefore, research aimed at improving product quality and minimizing environmental impacts should be implemented in the future and concerned with ensuring sustainable agricultural production.