{"title":"Engineered covalent triazine framework/graphitic carbon nitride heterojunction with synergistically enhanced photocatalytic activity","authors":"Hiba Elmansour, Donghui Wang, Shuanglong Li, Haiyang Zhang, Yihang Fu, Feng Chen","doi":"10.1016/j.apsusc.2025.163326","DOIUrl":null,"url":null,"abstract":"<div><div>Metal-free heterostructure graphite carbon nitride (CN) with a covalent triazine framework (CTF) was synthesized by a heat-treatment process. characterized by XRD, TEM, and XPS, which revealed that CN exhibited excellent contact with the CTF, forming a CN/CTF heterostructure that significantly influenced the interface properties. The UV–vis DRS demonstrated enhanced absorption of visible light within the 450–700 nm rang, EIS revealed a significant decrease in interfacial charge transfer resistance, while the TPR results demonstrated the formation of a photo-induced <em>p</em>-<em>n</em> junction at the interface, facilitating efficient charge separation. photocatalytic experiments demonstrated that CN/CTF6 exhibited an ibuprofen photodegradation was 3.75 and 1.9 times higher than the activity of CN and CTF, respectively, under full spectrum and 4.8 and 8.4 times higher than that of CN and CTF, respectively, under visible-light. Furthermore, the CN/CTF3 exhibited HER rate of 10,756.46 μmol h<sup>−1</sup>, which is 4.4 and 64.5 times higher than that of CN and CTF, respectively, under full spectrum irradiation. In contrast, under visible light, CN and CTF achieved 9.2-fold and 8.7-fold over CN and CTF, respectively. This study presents a promising strategy for developing <em>g</em>-C<sub>3</sub>N<sub>4</sub>-based composites with significantly enhanced photocatalytic performances.</div></div>","PeriodicalId":247,"journal":{"name":"Applied Surface Science","volume":"702 ","pages":"Article 163326"},"PeriodicalIF":6.3000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Surface Science","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169433225010402","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Metal-free heterostructure graphite carbon nitride (CN) with a covalent triazine framework (CTF) was synthesized by a heat-treatment process. characterized by XRD, TEM, and XPS, which revealed that CN exhibited excellent contact with the CTF, forming a CN/CTF heterostructure that significantly influenced the interface properties. The UV–vis DRS demonstrated enhanced absorption of visible light within the 450–700 nm rang, EIS revealed a significant decrease in interfacial charge transfer resistance, while the TPR results demonstrated the formation of a photo-induced p-n junction at the interface, facilitating efficient charge separation. photocatalytic experiments demonstrated that CN/CTF6 exhibited an ibuprofen photodegradation was 3.75 and 1.9 times higher than the activity of CN and CTF, respectively, under full spectrum and 4.8 and 8.4 times higher than that of CN and CTF, respectively, under visible-light. Furthermore, the CN/CTF3 exhibited HER rate of 10,756.46 μmol h−1, which is 4.4 and 64.5 times higher than that of CN and CTF, respectively, under full spectrum irradiation. In contrast, under visible light, CN and CTF achieved 9.2-fold and 8.7-fold over CN and CTF, respectively. This study presents a promising strategy for developing g-C3N4-based composites with significantly enhanced photocatalytic performances.
期刊介绍:
Applied Surface Science covers topics contributing to a better understanding of surfaces, interfaces, nanostructures and their applications. The journal is concerned with scientific research on the atomic and molecular level of material properties determined with specific surface analytical techniques and/or computational methods, as well as the processing of such structures.