{"title":"Quantitative Detection of Pyrazines in Edible Oils Using SABRE Hyperpolarized NMR Spectroscopy.","authors":"Anran Dai,Ao Xue,Huijun Sun,Zitao Duan,Xiaohong Cui,Xinchang Wang,Zhong Chen","doi":"10.1021/acs.analchem.5c00040","DOIUrl":null,"url":null,"abstract":"Pyrazines are key flavor compounds in various foods, and their detection is essential for assessing quality, authenticity, and potential adulteration. However, because food matrices are complex mixtures, detecting pyrazines typically requires complex pretreatment steps to eliminate interference from structurally similar molecules. In this study, we present a highly selective detection method for pyrazines in food using sensitive and quantitative hyperpolarized NMR. Trace pyrazine compounds in edible oils were detected on a benchtop NMR system (60 MHz, 1.4 T) utilizing signal amplification by reversible exchange (SABRE) hyperpolarization through cosubstrate strategy. Thanks to the high selectivity of SABRE toward pyrazines, our method requires only a simple extraction procedure to achieve accurate quantification of pyrazine with the concentration of 59.3 μmol/L in sesame oil, and the limit of quantification is as low as 21.0 μmol/L. Compared to conventional high-field NMR (500 MHz, 11.7 T), our approach demonstrates high sensitivity and accuracy on a low-field NMR spectrometer. Our works validate SABRE as a powerful tool for highly selective trace analysis, with potential applications in food quality assessment, flavor profiling, and bioactivity analysis.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"144 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.5c00040","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Pyrazines are key flavor compounds in various foods, and their detection is essential for assessing quality, authenticity, and potential adulteration. However, because food matrices are complex mixtures, detecting pyrazines typically requires complex pretreatment steps to eliminate interference from structurally similar molecules. In this study, we present a highly selective detection method for pyrazines in food using sensitive and quantitative hyperpolarized NMR. Trace pyrazine compounds in edible oils were detected on a benchtop NMR system (60 MHz, 1.4 T) utilizing signal amplification by reversible exchange (SABRE) hyperpolarization through cosubstrate strategy. Thanks to the high selectivity of SABRE toward pyrazines, our method requires only a simple extraction procedure to achieve accurate quantification of pyrazine with the concentration of 59.3 μmol/L in sesame oil, and the limit of quantification is as low as 21.0 μmol/L. Compared to conventional high-field NMR (500 MHz, 11.7 T), our approach demonstrates high sensitivity and accuracy on a low-field NMR spectrometer. Our works validate SABRE as a powerful tool for highly selective trace analysis, with potential applications in food quality assessment, flavor profiling, and bioactivity analysis.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.