{"title":"在二氧化碳和含氮物种共还原过程中尿素定量的可靠和容易获得的方法","authors":"Yan Zhang, Gefei Huang, Haichuan Zhang, Xiaoyi Qiu, Guimei Liu, Yinuo Wang, Juhee Jang, Yian Wang, Zidong Wei, Zongwei Cai, Minhua Shao","doi":"10.1016/j.checat.2024.101234","DOIUrl":null,"url":null,"abstract":"Electrocatalytic urea synthesis by the co-reduction of CO<sub>2</sub> and nitrogen sources under mild conditions offers an attractive alternative to the conventional protocol. However, the quantification of urea poses significant challenges because of low yields and diverse byproducts, thereby raising concerns regarding the reliability of catalyst performance. This study systematically assesses the commonly used methods (urease, diacetyl monoxime, and <sup>1</sup>H-NMR) in real electrochemical systems and identifies their potential limitations. We then propose an advanced analytical platform that uses ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS) to quantify urea in electrolytes. This method exhibits high sensitivity, even at ultralow urea concentrations of 0.01 μg mL<sup>−1</sup>, without compromising accuracy in the presence of byproducts. Its reliability is validated through a series of experimental cases, eliminating the occurrence of false positives. These findings contribute to establishing a benchmark for quantifying urea in electrosynthesis, facilitating the development of efficient electrocatalysts.","PeriodicalId":53121,"journal":{"name":"Chem Catalysis","volume":"30 1","pages":""},"PeriodicalIF":11.5000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reliable and accessible methods for urea quantification in co-reduction of carbon-dioxide- and nitrogen-containing species\",\"authors\":\"Yan Zhang, Gefei Huang, Haichuan Zhang, Xiaoyi Qiu, Guimei Liu, Yinuo Wang, Juhee Jang, Yian Wang, Zidong Wei, Zongwei Cai, Minhua Shao\",\"doi\":\"10.1016/j.checat.2024.101234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electrocatalytic urea synthesis by the co-reduction of CO<sub>2</sub> and nitrogen sources under mild conditions offers an attractive alternative to the conventional protocol. However, the quantification of urea poses significant challenges because of low yields and diverse byproducts, thereby raising concerns regarding the reliability of catalyst performance. This study systematically assesses the commonly used methods (urease, diacetyl monoxime, and <sup>1</sup>H-NMR) in real electrochemical systems and identifies their potential limitations. We then propose an advanced analytical platform that uses ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS) to quantify urea in electrolytes. This method exhibits high sensitivity, even at ultralow urea concentrations of 0.01 μg mL<sup>−1</sup>, without compromising accuracy in the presence of byproducts. Its reliability is validated through a series of experimental cases, eliminating the occurrence of false positives. These findings contribute to establishing a benchmark for quantifying urea in electrosynthesis, facilitating the development of efficient electrocatalysts.\",\"PeriodicalId\":53121,\"journal\":{\"name\":\"Chem Catalysis\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":11.5000,\"publicationDate\":\"2025-01-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chem Catalysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.checat.2024.101234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chem Catalysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.checat.2024.101234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Reliable and accessible methods for urea quantification in co-reduction of carbon-dioxide- and nitrogen-containing species
Electrocatalytic urea synthesis by the co-reduction of CO2 and nitrogen sources under mild conditions offers an attractive alternative to the conventional protocol. However, the quantification of urea poses significant challenges because of low yields and diverse byproducts, thereby raising concerns regarding the reliability of catalyst performance. This study systematically assesses the commonly used methods (urease, diacetyl monoxime, and 1H-NMR) in real electrochemical systems and identifies their potential limitations. We then propose an advanced analytical platform that uses ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS) to quantify urea in electrolytes. This method exhibits high sensitivity, even at ultralow urea concentrations of 0.01 μg mL−1, without compromising accuracy in the presence of byproducts. Its reliability is validated through a series of experimental cases, eliminating the occurrence of false positives. These findings contribute to establishing a benchmark for quantifying urea in electrosynthesis, facilitating the development of efficient electrocatalysts.
期刊介绍:
Chem Catalysis is a monthly journal that publishes innovative research on fundamental and applied catalysis, providing a platform for researchers across chemistry, chemical engineering, and related fields. It serves as a premier resource for scientists and engineers in academia and industry, covering heterogeneous, homogeneous, and biocatalysis. Emphasizing transformative methods and technologies, the journal aims to advance understanding, introduce novel catalysts, and connect fundamental insights to real-world applications for societal benefit.