Sowjanya Vallem , Malayil Gopalan Sibi , K. Keerthi , Anam Giridhar Babu , Vishaka Goyal , EA Lohith , N.V.V. Jyothi , K. Praveena , Kasibhatta Sivakumar , T.G. Satheesh Babu , P.V. Suneesh , Hari Bandi , Daniel-Ioan Stroe , Sada Venkateswarlu , Aristides Bakandritsos , Rajenahally V. Jagadeesh , Radek Zboril
{"title":"Single-atom engineered sensors for volatile organic compounds","authors":"Sowjanya Vallem , Malayil Gopalan Sibi , K. Keerthi , Anam Giridhar Babu , Vishaka Goyal , EA Lohith , N.V.V. Jyothi , K. Praveena , Kasibhatta Sivakumar , T.G. Satheesh Babu , P.V. Suneesh , Hari Bandi , Daniel-Ioan Stroe , Sada Venkateswarlu , Aristides Bakandritsos , Rajenahally V. Jagadeesh , Radek Zboril","doi":"10.1016/j.mser.2025.101057","DOIUrl":null,"url":null,"abstract":"<div><div>The efficient and precise detection of trace-level volatile organic compounds (VOCs) is critically important for environmental monitoring, industrial safety, and public health. In this context, single-atom (SA) materials have emerged as a new frontier in sensor technology, offering unparalleled atom and energy efficiency, along with maximal exposure to active sites. Compared to conventional nanoparticle and bulk sensors, SA-based platforms exhibit superior sensitivity, selectivity, and tunability. This review presents a comprehensive overview of the advances in single-atom engineering (SAE) for VOC detection. We systematically discuss the design principles, fabrication methods, and sensing mechanisms of various SA-based sensors, including chemiresistive gas sensors (CGS), metal oxide semiconductors (MOS), microelectromechanical systems (MEMS), field effect transistors (FETs), and electrochemical sensors. Special attention is given to the roles of heteroatom doping, vacancy engineering, and support interactions in modulating the sensing performance. This review also highlights how advanced spectroscopic tools provide insight into SA-analyte interactions and how computational approaches, particularly density functional theory (DFT) and emerging machine learning (ML) techniques, aid in the rational design of next-generation sensors. Finally, we outline the current challenges and propose future research directions aimed at achieving scalable synthesis, long-term stability, and real-world deployment of SA-based VOC sensors. This review aims to guide future innovations in SA sensor technologies, setting the stage for transformative advances in VOC detection.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"166 ","pages":"Article 101057"},"PeriodicalIF":31.6000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Science and Engineering: R: Reports","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0927796X25001342","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The efficient and precise detection of trace-level volatile organic compounds (VOCs) is critically important for environmental monitoring, industrial safety, and public health. In this context, single-atom (SA) materials have emerged as a new frontier in sensor technology, offering unparalleled atom and energy efficiency, along with maximal exposure to active sites. Compared to conventional nanoparticle and bulk sensors, SA-based platforms exhibit superior sensitivity, selectivity, and tunability. This review presents a comprehensive overview of the advances in single-atom engineering (SAE) for VOC detection. We systematically discuss the design principles, fabrication methods, and sensing mechanisms of various SA-based sensors, including chemiresistive gas sensors (CGS), metal oxide semiconductors (MOS), microelectromechanical systems (MEMS), field effect transistors (FETs), and electrochemical sensors. Special attention is given to the roles of heteroatom doping, vacancy engineering, and support interactions in modulating the sensing performance. This review also highlights how advanced spectroscopic tools provide insight into SA-analyte interactions and how computational approaches, particularly density functional theory (DFT) and emerging machine learning (ML) techniques, aid in the rational design of next-generation sensors. Finally, we outline the current challenges and propose future research directions aimed at achieving scalable synthesis, long-term stability, and real-world deployment of SA-based VOC sensors. This review aims to guide future innovations in SA sensor technologies, setting the stage for transformative advances in VOC detection.
期刊介绍:
Materials Science & Engineering R: Reports is a journal that covers a wide range of topics in the field of materials science and engineering. It publishes both experimental and theoretical research papers, providing background information and critical assessments on various topics. The journal aims to publish high-quality and novel research papers and reviews.
The subject areas covered by the journal include Materials Science (General), Electronic Materials, Optical Materials, and Magnetic Materials. In addition to regular issues, the journal also publishes special issues on key themes in the field of materials science, including Energy Materials, Materials for Health, Materials Discovery, Innovation for High Value Manufacturing, and Sustainable Materials development.