Mariana Maçãs , Barbara Biduski , Alessandro Ferragina , Antonia A.L. dos Santos , Jeremy C. Simpson , Margaritha M. Mysior , Mahesha M. Poojary , Elke K. Arendt , Eimear Gallagher
{"title":"Pea-wheat composite bread: Effects of milling methods and NIR spectral insights","authors":"Mariana Maçãs , Barbara Biduski , Alessandro Ferragina , Antonia A.L. dos Santos , Jeremy C. Simpson , Margaritha M. Mysior , Mahesha M. Poojary , Elke K. Arendt , Eimear Gallagher","doi":"10.1016/j.ifset.2025.104233","DOIUrl":null,"url":null,"abstract":"<div><div>Utilizing locally grown peas in bread-making offers environmental, nutritional, and economic advantages, yet pea milling remains underexplored compared to wheat. Optimizing pea flour processing is critical, as its integration with wheat can drastically alter baking performance. This study evaluated the impact of three milling techniques: roller mill (RM), hammer mill (HM) and cutting mill (CM). The pea flours were blended in a 15 %/85 % (pea/wheat) ratio and bread profiling was assessed. Additionally, flour and bread were analysed using NIR spectroscopy. Pea flour increased bread protein content. Considering the milling yield, bread characteristics and spectral analysis undertaken, this study suggests that the hammer mill is the most effective method for bread-making. NIR spectroscopy effectively distinguished formulations despite composition similarities enabling product standardization. Furthermore, NIR uniquely classified diverse breads by storage time, highlighting its potential for bread staling assessment.</div></div>","PeriodicalId":329,"journal":{"name":"Innovative Food Science & Emerging Technologies","volume":"105 ","pages":"Article 104233"},"PeriodicalIF":6.8000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovative Food Science & Emerging Technologies","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1466856425003170","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Utilizing locally grown peas in bread-making offers environmental, nutritional, and economic advantages, yet pea milling remains underexplored compared to wheat. Optimizing pea flour processing is critical, as its integration with wheat can drastically alter baking performance. This study evaluated the impact of three milling techniques: roller mill (RM), hammer mill (HM) and cutting mill (CM). The pea flours were blended in a 15 %/85 % (pea/wheat) ratio and bread profiling was assessed. Additionally, flour and bread were analysed using NIR spectroscopy. Pea flour increased bread protein content. Considering the milling yield, bread characteristics and spectral analysis undertaken, this study suggests that the hammer mill is the most effective method for bread-making. NIR spectroscopy effectively distinguished formulations despite composition similarities enabling product standardization. Furthermore, NIR uniquely classified diverse breads by storage time, highlighting its potential for bread staling assessment.
期刊介绍:
Innovative Food Science and Emerging Technologies (IFSET) aims to provide the highest quality original contributions and few, mainly upon invitation, reviews on and highly innovative developments in food science and emerging food process technologies. The significance of the results either for the science community or for industrial R&D groups must be specified. Papers submitted must be of highest scientific quality and only those advancing current scientific knowledge and understanding or with technical relevance will be considered.