{"title":"The n–π* electronic transition induced by nitrogen vacancies enhances photocatalytic hydrogen production in carbon nitride","authors":"Zhili Xu, Jing Li, Deyi Zhan, Yue Liu, Weihong Xu, Junfeng Wang, Zhiwu Yu","doi":"10.1016/j.cej.2024.157670","DOIUrl":null,"url":null,"abstract":"In semiconductor catalysts, long-lived excited states can effectually improve the utilization of photogenerated carriers to enhance photocatalytic performance. Herein, we used supramolecular engineering to synthesize a hollow tubular carbon nitride catalyst with N vacancies and an obvious n–π* transition. The unique hollow tubular structure provides abundant active sites, which are favorable for photocatalytic reaction. The presence of N vacancies expands the π-electron delocalization domains in the conjugated system, which excites the n–π* transition and thus triggers the red-shifted absorption edge at approximately 660 nm. Experiments and DFT calculations demonstrated that the N vacancies are beneficial for narrowing the bandgap and promoting the reduction of H<sup>+</sup> by photogenerated electrons. Femtosecond transient absorption spectroscopy (fs-TAS) indicated that the n–π* electronic transition in the carbon nitride photocatalyst leads to slower exciton annihilation (lifetime: 38.64 ± 10.6 ps) and extended shallow electron trapping states (lifetime: 325.9 ± 19.3 ps). The appearance of these states adds more photogenerated electrons to the photocatalytic reaction process. The optimal hollow tubular carbon nitride catalyst exhibits a hydrogen production rate of 2664.47 μmol∙g<sup>−1</sup>∙h<sup>−1</sup>, which is 31.2 times higher than that of bulk carbon nitride (85.3325 μmol∙g<sup>−1</sup>∙h<sup>−1</sup>). This work highlights the ability of the n–π* transition induced by N vacancies to enhance the photocatalytic activity of carbon nitride.","PeriodicalId":13,"journal":{"name":"ACS Chemical Neuroscience","volume":"5 1","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Chemical Neuroscience","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.cej.2024.157670","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
In semiconductor catalysts, long-lived excited states can effectually improve the utilization of photogenerated carriers to enhance photocatalytic performance. Herein, we used supramolecular engineering to synthesize a hollow tubular carbon nitride catalyst with N vacancies and an obvious n–π* transition. The unique hollow tubular structure provides abundant active sites, which are favorable for photocatalytic reaction. The presence of N vacancies expands the π-electron delocalization domains in the conjugated system, which excites the n–π* transition and thus triggers the red-shifted absorption edge at approximately 660 nm. Experiments and DFT calculations demonstrated that the N vacancies are beneficial for narrowing the bandgap and promoting the reduction of H+ by photogenerated electrons. Femtosecond transient absorption spectroscopy (fs-TAS) indicated that the n–π* electronic transition in the carbon nitride photocatalyst leads to slower exciton annihilation (lifetime: 38.64 ± 10.6 ps) and extended shallow electron trapping states (lifetime: 325.9 ± 19.3 ps). The appearance of these states adds more photogenerated electrons to the photocatalytic reaction process. The optimal hollow tubular carbon nitride catalyst exhibits a hydrogen production rate of 2664.47 μmol∙g−1∙h−1, which is 31.2 times higher than that of bulk carbon nitride (85.3325 μmol∙g−1∙h−1). This work highlights the ability of the n–π* transition induced by N vacancies to enhance the photocatalytic activity of carbon nitride.
期刊介绍:
ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disorders. Research in the journal focuses on aspects of chemical neurobiology and bio-neurochemistry such as the following:
Neurotransmitters and receptors
Neuropharmaceuticals and therapeutics
Neural development—Plasticity, and degeneration
Chemical, physical, and computational methods in neuroscience
Neuronal diseases—basis, detection, and treatment
Mechanism of aging, learning, memory and behavior
Pain and sensory processing
Neurotoxins
Neuroscience-inspired bioengineering
Development of methods in chemical neurobiology
Neuroimaging agents and technologies
Animal models for central nervous system diseases
Behavioral research