Jingjie Yang , Sara W. Erasmus , Qianqian Sun , Yingquan Zhang , Ming Li , Bo Zhang , Boli Guo , Saskia M. van Ruth
{"title":"Tracing isotopic fingerprints: Unveiling the impact of noodle formulation and cooking water on the isotopic signatures of wheat-derived noodles","authors":"Jingjie Yang , Sara W. Erasmus , Qianqian Sun , Yingquan Zhang , Ming Li , Bo Zhang , Boli Guo , Saskia M. van Ruth","doi":"10.1016/j.crfs.2025.101024","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines how variations in δ<sup>2</sup>H and δ<sup>18</sup>O values of cooking water affect the isotopic fingerprint of noodles with different gluten-to-starch formulations, aiming to enhance the current understanding of isotopic changes during food processing and their implications for food authenticity. Eight differently formulated noodles were boiled using waters with six distinct isotopic compositions ranging from of −160‰ to +50‰ for δ<sup>2</sup>H and from −22.9‰ to +99.9‰ for δ<sup>18</sup>O, respectively. Linear regression analysis revealed that formulation and water isotopic composition significantly affected the δ<sup>2</sup>H in cooked noodles (<em>p</em> < 0.05), with model <em>R</em><sup>2</sup> values ranging from 0.66 to 0.94. Additionally, the δ<sup>2</sup>H values of noodles changed with the isotopic signatures of the cooking water. On the contrary, δ<sup>18</sup>O in the noodles remained stable despite boiling processing and was also not changing due to the water's isotopic signature. Since consistent effects of formulation and cooking water isotopic signature was observed, an equation for determining the exchange factor (<em>f(H)ex</em>) between noodles and cooking water was developed. The fraction of hydrogen atoms in different noodles for exchange was highest at 19.3% in noodles with the formulation of 45:55(gluten-to-starch) and the lowest at 11.1% in noodles with 100% gluten. The findings prove that cooking water systematically alters the isotopic signatures of noodles, underscoring the necessity of considering this type of effect in food authentication and traceability practices.</div></div>","PeriodicalId":10939,"journal":{"name":"Current Research in Food Science","volume":"10 ","pages":"Article 101024"},"PeriodicalIF":6.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Research in Food Science","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665927125000553","RegionNum":2,"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
This study examines how variations in δ2H and δ18O values of cooking water affect the isotopic fingerprint of noodles with different gluten-to-starch formulations, aiming to enhance the current understanding of isotopic changes during food processing and their implications for food authenticity. Eight differently formulated noodles were boiled using waters with six distinct isotopic compositions ranging from of −160‰ to +50‰ for δ2H and from −22.9‰ to +99.9‰ for δ18O, respectively. Linear regression analysis revealed that formulation and water isotopic composition significantly affected the δ2H in cooked noodles (p < 0.05), with model R2 values ranging from 0.66 to 0.94. Additionally, the δ2H values of noodles changed with the isotopic signatures of the cooking water. On the contrary, δ18O in the noodles remained stable despite boiling processing and was also not changing due to the water's isotopic signature. Since consistent effects of formulation and cooking water isotopic signature was observed, an equation for determining the exchange factor (f(H)ex) between noodles and cooking water was developed. The fraction of hydrogen atoms in different noodles for exchange was highest at 19.3% in noodles with the formulation of 45:55(gluten-to-starch) and the lowest at 11.1% in noodles with 100% gluten. The findings prove that cooking water systematically alters the isotopic signatures of noodles, underscoring the necessity of considering this type of effect in food authentication and traceability practices.
期刊介绍:
Current Research in Food Science is an international peer-reviewed journal dedicated to advancing the breadth of knowledge in the field of food science. It serves as a platform for publishing original research articles and short communications that encompass a wide array of topics, including food chemistry, physics, microbiology, nutrition, nutraceuticals, process and package engineering, materials science, food sustainability, and food security. By covering these diverse areas, the journal aims to provide a comprehensive source of the latest scientific findings and technological advancements that are shaping the future of the food industry. The journal's scope is designed to address the multidisciplinary nature of food science, reflecting its commitment to promoting innovation and ensuring the safety and quality of the food supply.