Wilson Tamunotonye Orunaboka, S. Kosoko, V. Wabali, A. Olokoshe
{"title":"全麦粉、大豆粉、蚝油粉制备营养致密复合面粉的优化方法","authors":"Wilson Tamunotonye Orunaboka, S. Kosoko, V. Wabali, A. Olokoshe","doi":"10.9734/ejnfs/2023/v15i71317","DOIUrl":null,"url":null,"abstract":"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. \nStudy Design: The study was design using the D-optimal combination design of Response Surface Methodology (RSM). \nPlace 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. \nMethodology: 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. \nResults: 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. \nConclusion: The best flour combination was 72.51% whole wheat flour, 19.63% soybean flour, and 7.86% oyster meat powder.","PeriodicalId":11922,"journal":{"name":"European Journal of Nutrition & Food Safety","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization Method of Whole Wheat Flour, Soybean Flour, Oyster Meat Powder for Nutrient- Dense Composite Flour\",\"authors\":\"Wilson Tamunotonye Orunaboka, S. Kosoko, V. Wabali, A. Olokoshe\",\"doi\":\"10.9734/ejnfs/2023/v15i71317\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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. \\nStudy Design: The study was design using the D-optimal combination design of Response Surface Methodology (RSM). \\nPlace 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. \\nMethodology: 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. \\nResults: 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. \\nConclusion: The best flour combination was 72.51% whole wheat flour, 19.63% soybean flour, and 7.86% oyster meat powder.\",\"PeriodicalId\":11922,\"journal\":{\"name\":\"European Journal of Nutrition & Food Safety\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Nutrition & Food Safety\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9734/ejnfs/2023/v15i71317\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Nutrition & Food Safety","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/ejnfs/2023/v15i71317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.