Optimization Method of Whole Wheat Flour, Soybean Flour, Oyster Meat Powder for Nutrient- Dense Composite Flour

Aim: To study the production of Nutrient – Dense Composite Flour from the blends of whole wheat flour, soybean flour (full fat) and oyster meat powder. Study Design: The study was design using the D-optimal combination design of Response Surface Methodology (RSM). Place and Duration of Study: The study was carried out at Department of Food, Nutrition and Home Science, University of Port Harcourt (Processing of raw materials) and the Department of Food Technology, Federal Institute of industrial research Oshodi, Lagos (Analysis of raw materials) between October 2021 and August 2022. Methodology: The raw materials were each processed to have wholesome flours, and then they were combined according to the matrix generated, which had ranges of 70 – 100%, 0 – 22%, and 0 – 8% for whole wheat flour (WWF), soybean flour (SBF) and oyster meat powder (OMP) respectively. Results: The design was used to assess the significance (5% probability) of the moisture, fat, and protein content, which ranged from 8.09 to 11.37%, 1.80 to 8.52% and 9.70 to 19.07% respectively; the water absorption (72.00 - 79.10BU), dough stability (9.3 - 17.5BU) and mixing tolerance index (25 - 50BU); and lightness and yellowness, which ranged from 65.48 - 83.2 and 13.77 - 23.58 respectively, of the flour blends. Protein content, water absorption dough stability, and mixing tolerance index were prioritized while moisture content, fat content, and yellowness were minimized for the numerical optimization of the responses. This study highlights the possibilities of utilizing non-conventional raw materials in the production of composite flour with balance nutritional and baking qualities. Conclusion: The best flour combination was 72.51% whole wheat flour, 19.63% soybean flour, and 7.86% oyster meat powder.

Optimization on formulation of microporosity osmotic pump controlled release tablet of solid dispersion for total flavonoids from Desmodium styracifolium by central composite design-response surface methodology / 中草药

Objective: To optimize the formulations of microporosity osmotic pump controlled release tablet of solid dispersion for total flavonoids from Desmodium styracifolium (TFDS) by central composite design-response surface methodology. Methods: The independent variables comprised of the amount of lactose, pore-forming agent, and coating weight gain, and the dependent variables involved the cumulative release after 2, 6, and 12 h, and the linear correlation coefficient of cumulative release curve. Design-expert software was used to fit multivariate linear models and quadratic multinomial models for experimental data. Response surface was delineated according to best-fit mathematic models and the optimum formulation was selected by Numerical Optimization. Results: The correlation coefficients of quadratic multinomial models were better than those of multivariate linear models. There was close agreement between the observed and predicted values for the cumulative release, and bias were all less than 5%. Conclusion: The model established by Design-expert Software is better to predict and could be used to optimize the formulations of microporosity osmotic pump controlled release tablets of solid dispersion for TFDS.