{"title":"通过脉冲炉加热结合热导检测技术快速简单地测定还原氧化石墨烯中的氮含量","authors":"Kuan Wang, Junhong Yang, Dongxu Gao, Zhe Zhang","doi":"10.1016/j.measurement.2024.116272","DOIUrl":null,"url":null,"abstract":"<div><div>The fast accurately determining the contents of various elements in reduced graphene oxide (rGO) has long been the most important research topic in the field of analytical chemistry for a long time. In this study, a new method was developed for fast and simple determination of total nitrogen content in rGO via pulse furnace heating combined with a thermal conductivity detection technique. Two key parameters, extraction power and sample weight were optimized experimentally. A nitrogen release curve was obtained through pulse furnace heating combined with thermal conductivity detection. The quantification limit of nitrogen element was calculated based on the results of the multiple blank experiments, and the accuracy and precision of the new method were verified by measuring nitrogen contents in rGO samples. The accuracy of this method was verified through X-ray photoelectron spectroscopy and a CHNOS analyzer comparisons. This is the first study, in which pulse furnace heating combined with thermal conductivity detection was used to determine the total nitrogen content in rGO.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116272"},"PeriodicalIF":5.2000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fast simple determination of nitrogen in reduced graphene oxide by pulse furnace heating combined with thermal conductivity detection technique\",\"authors\":\"Kuan Wang, Junhong Yang, Dongxu Gao, Zhe Zhang\",\"doi\":\"10.1016/j.measurement.2024.116272\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The fast accurately determining the contents of various elements in reduced graphene oxide (rGO) has long been the most important research topic in the field of analytical chemistry for a long time. In this study, a new method was developed for fast and simple determination of total nitrogen content in rGO via pulse furnace heating combined with a thermal conductivity detection technique. Two key parameters, extraction power and sample weight were optimized experimentally. A nitrogen release curve was obtained through pulse furnace heating combined with thermal conductivity detection. The quantification limit of nitrogen element was calculated based on the results of the multiple blank experiments, and the accuracy and precision of the new method were verified by measuring nitrogen contents in rGO samples. The accuracy of this method was verified through X-ray photoelectron spectroscopy and a CHNOS analyzer comparisons. This is the first study, in which pulse furnace heating combined with thermal conductivity detection was used to determine the total nitrogen content in rGO.</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"242 \",\"pages\":\"Article 116272\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2024-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263224124021572\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224124021572","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
长期以来,快速准确地测定还原型氧化石墨烯(rGO)中各种元素的含量一直是分析化学领域最重要的研究课题。本研究通过脉冲炉加热结合热导检测技术,建立了一种快速简便测定还原型氧化石墨烯(rGO)中总氮含量的新方法。实验优化了萃取功率和样品重量这两个关键参数。通过脉冲炉加热结合热导检测技术获得了氮释放曲线。根据多次空白实验的结果计算了氮元素的定量限,并通过测定 rGO 样品中的氮含量验证了新方法的准确性和精密度。通过 X 射线光电子能谱和 CHNOS 分析仪的比较,验证了该方法的准确性。这是首次使用脉冲炉加热结合热导检测来测定 rGO 中总氮含量的研究。
Fast simple determination of nitrogen in reduced graphene oxide by pulse furnace heating combined with thermal conductivity detection technique
The fast accurately determining the contents of various elements in reduced graphene oxide (rGO) has long been the most important research topic in the field of analytical chemistry for a long time. In this study, a new method was developed for fast and simple determination of total nitrogen content in rGO via pulse furnace heating combined with a thermal conductivity detection technique. Two key parameters, extraction power and sample weight were optimized experimentally. A nitrogen release curve was obtained through pulse furnace heating combined with thermal conductivity detection. The quantification limit of nitrogen element was calculated based on the results of the multiple blank experiments, and the accuracy and precision of the new method were verified by measuring nitrogen contents in rGO samples. The accuracy of this method was verified through X-ray photoelectron spectroscopy and a CHNOS analyzer comparisons. This is the first study, in which pulse furnace heating combined with thermal conductivity detection was used to determine the total nitrogen content in rGO.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.