Gian Marco Riccio , Dilek Eltemur , Federico Fava , Demian Martini-Lösch , Giovanni Peratoner , Elena Venir , Daniela Eisenstecken , Peter Robatscher , Matteo Scampicchio , Michael Oberhuber , Alberto Ceccon
{"title":"Differentiating cyclopropane fatty acids to support milk authenticity through GC–MS and NMR spectroscopy","authors":"Gian Marco Riccio , Dilek Eltemur , Federico Fava , Demian Martini-Lösch , Giovanni Peratoner , Elena Venir , Daniela Eisenstecken , Peter Robatscher , Matteo Scampicchio , Michael Oberhuber , Alberto Ceccon","doi":"10.1016/j.fochx.2025.103033","DOIUrl":null,"url":null,"abstract":"<div><div>Cyclopropane fatty acids (CPFAs), are emerging markers for food authentication in premium dairy products like <em>Parmigiano Reggiano</em> and <em>Haymilk</em>, where silage feeding is prohibited. This study focuses on two CPFAs—dihydrosterculic acid (DHSA) and lactobacillic acid (LBA)—in milk from cows fed diets with or without silage. Using both NMR spectroscopy and a refined GC–MS method, we quantified CPFAs and assessed their potential as dietary markers. NMR enabled rapid, non-destructive screening via <em>cis</em>-methylene proton signals, whereas GC–MS provided accurate quantification and separation of DHSA and LBA. DHSA levels were ∼ 3-fold higher in maize-silage-fed cows compared to non-silage-fed cows, making DHSA, or the DHSA/LBA ratio, robust markers of feeding regime. In contrast, LBA remained stable across diets and was unexpectedly detected in Haymilk, suggesting alternative metabolic origins. These results demonstrate the value of combining NMR and GC–MS for accurate CPFA quantification and provide new insights into their role in dairy authentication.</div></div>","PeriodicalId":12334,"journal":{"name":"Food Chemistry: X","volume":"31 ","pages":"Article 103033"},"PeriodicalIF":8.2000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Chemistry: X","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590157525008806","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Cyclopropane fatty acids (CPFAs), are emerging markers for food authentication in premium dairy products like Parmigiano Reggiano and Haymilk, where silage feeding is prohibited. This study focuses on two CPFAs—dihydrosterculic acid (DHSA) and lactobacillic acid (LBA)—in milk from cows fed diets with or without silage. Using both NMR spectroscopy and a refined GC–MS method, we quantified CPFAs and assessed their potential as dietary markers. NMR enabled rapid, non-destructive screening via cis-methylene proton signals, whereas GC–MS provided accurate quantification and separation of DHSA and LBA. DHSA levels were ∼ 3-fold higher in maize-silage-fed cows compared to non-silage-fed cows, making DHSA, or the DHSA/LBA ratio, robust markers of feeding regime. In contrast, LBA remained stable across diets and was unexpectedly detected in Haymilk, suggesting alternative metabolic origins. These results demonstrate the value of combining NMR and GC–MS for accurate CPFA quantification and provide new insights into their role in dairy authentication.
期刊介绍:
Food Chemistry: X, one of three Open Access companion journals to Food Chemistry, follows the same aims, scope, and peer-review process. It focuses on papers advancing food and biochemistry or analytical methods, prioritizing research novelty. Manuscript evaluation considers novelty, scientific rigor, field advancement, and reader interest. Excluded are studies on food molecular sciences or disease cure/prevention. Topics include food component chemistry, bioactives, processing effects, additives, contaminants, and analytical methods. The journal welcome Analytical Papers addressing food microbiology, sensory aspects, and more, emphasizing new methods with robust validation and applicability to diverse foods or regions.