Vijay Shankar Kushwaha, Shubhangi Srivastava, Prashant Pandharinath Said
{"title":"革新快餐:用小米、荞麦和黑克组成的复合面粉","authors":"Vijay Shankar Kushwaha, Shubhangi Srivastava, Prashant Pandharinath Said","doi":"10.1007/s11694-025-03400-9","DOIUrl":null,"url":null,"abstract":"<div><p>An optimized composite flour was made from pseudo-cereal (buckwheat), finger millet, and legumes (black gram), and pasta was developed from the optimized flour. The D-optimal mixture design was used for the optimization of flour where optimum levels were decided based on desirable functional characteristics that are important for making pasta. Also, the pasta was tested for its overall acceptability based on sensory analysis (hedonic scale), and for its proximate composition i.e. protein, ash, crude fiber, fat, and carbohydrates. The functional properties (bulk density, water/oil absorption, dispersibility, emulsification, swelling index, and foaming capacities) studied for the raw and composite flour, respectively. The results revealed that the composition of the flour had a considerable effect on the functional qualities of the final mix. The linear and quadratic models were the best fit for the results of independent variables. The optimized flour composition with maximum desirability was 57.31% buckwheat, 12.68% finger millet, and 30% black gram flour, respectively. The pasta received better overall acceptance when it was prepared with optimized composite flour and tested using a 9-point hedonic scale.</p></div>","PeriodicalId":631,"journal":{"name":"Journal of Food Measurement and Characterization","volume":"19 9","pages":"6447 - 6456"},"PeriodicalIF":3.3000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Revolutionizing fast food: composite flour with finger millet, buckwheat, and black gram\",\"authors\":\"Vijay Shankar Kushwaha, Shubhangi Srivastava, Prashant Pandharinath Said\",\"doi\":\"10.1007/s11694-025-03400-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>An optimized composite flour was made from pseudo-cereal (buckwheat), finger millet, and legumes (black gram), and pasta was developed from the optimized flour. The D-optimal mixture design was used for the optimization of flour where optimum levels were decided based on desirable functional characteristics that are important for making pasta. Also, the pasta was tested for its overall acceptability based on sensory analysis (hedonic scale), and for its proximate composition i.e. protein, ash, crude fiber, fat, and carbohydrates. The functional properties (bulk density, water/oil absorption, dispersibility, emulsification, swelling index, and foaming capacities) studied for the raw and composite flour, respectively. The results revealed that the composition of the flour had a considerable effect on the functional qualities of the final mix. The linear and quadratic models were the best fit for the results of independent variables. The optimized flour composition with maximum desirability was 57.31% buckwheat, 12.68% finger millet, and 30% black gram flour, respectively. The pasta received better overall acceptance when it was prepared with optimized composite flour and tested using a 9-point hedonic scale.</p></div>\",\"PeriodicalId\":631,\"journal\":{\"name\":\"Journal of Food Measurement and Characterization\",\"volume\":\"19 9\",\"pages\":\"6447 - 6456\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Food Measurement and Characterization\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11694-025-03400-9\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Measurement and Characterization","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s11694-025-03400-9","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Revolutionizing fast food: composite flour with finger millet, buckwheat, and black gram
An optimized composite flour was made from pseudo-cereal (buckwheat), finger millet, and legumes (black gram), and pasta was developed from the optimized flour. The D-optimal mixture design was used for the optimization of flour where optimum levels were decided based on desirable functional characteristics that are important for making pasta. Also, the pasta was tested for its overall acceptability based on sensory analysis (hedonic scale), and for its proximate composition i.e. protein, ash, crude fiber, fat, and carbohydrates. The functional properties (bulk density, water/oil absorption, dispersibility, emulsification, swelling index, and foaming capacities) studied for the raw and composite flour, respectively. The results revealed that the composition of the flour had a considerable effect on the functional qualities of the final mix. The linear and quadratic models were the best fit for the results of independent variables. The optimized flour composition with maximum desirability was 57.31% buckwheat, 12.68% finger millet, and 30% black gram flour, respectively. The pasta received better overall acceptance when it was prepared with optimized composite flour and tested using a 9-point hedonic scale.
期刊介绍:
This interdisciplinary journal publishes new measurement results, characteristic properties, differentiating patterns, measurement methods and procedures for such purposes as food process innovation, product development, quality control, and safety assurance.
The journal encompasses all topics related to food property measurement and characterization, including all types of measured properties of food and food materials, features and patterns, measurement principles and techniques, development and evaluation of technologies, novel uses and applications, and industrial implementation of systems and procedures.