{"title":"蓝色(扣状)与黑色(皱状)磷烯单层膜用于检测呼吸系统疾病相关生物标志物的DFT研究","authors":"Surya Nagarathinam Senthilkumar, Senthilkumar Lakshmipathi","doi":"10.1002/adts.202500061","DOIUrl":null,"url":null,"abstract":"This study investigates puckered (black) and buckled (blue) phosphorene for sensing volatile organic compounds (VOCs) linked to respiratory diseases. The semiconducting nature of both forms is confirmed by their bandgap and density of states. Heptanal shows the most adsorption in both monolayers. AIM analyses indicated the physisorption of VOCs, while the planar average potential and minimum work function suggest surface charge interactions. Blue phosphorene demonstrated high sensitivity (92.67% to 99.99%) for VOCs, compared to black phosphorene's 0.78% to 74.55%. Blue phosphorene also has a rapid recovery rate of 18 ps in the ultraviolet region. The Langmuir adsorption isotherm model indicates that under humid conditions, Blue phosphorene shows maximum surface coverage (θ) for biomarkers over vacuum media. Blue phosphorene demonstrates remarkable sensitivity toward all the volatile organic compounds (VOCs), including benzaldehyde, 2‐butanone, heptanal, and tetrahydrofuran, which makes it a promising material for sensing biomarkers associated with respiratory diseases. Overall, Buckled (blue) phosphorene is a better VOCs sensor material than puckered (black) phosphorene.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"24 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blue (Buckled) Versus Black (Puckered) Phosphorene Monolayers for Sensing Biomarkers Associated with Respiratory Diseases – A DFT Study\",\"authors\":\"Surya Nagarathinam Senthilkumar, Senthilkumar Lakshmipathi\",\"doi\":\"10.1002/adts.202500061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study investigates puckered (black) and buckled (blue) phosphorene for sensing volatile organic compounds (VOCs) linked to respiratory diseases. The semiconducting nature of both forms is confirmed by their bandgap and density of states. Heptanal shows the most adsorption in both monolayers. AIM analyses indicated the physisorption of VOCs, while the planar average potential and minimum work function suggest surface charge interactions. Blue phosphorene demonstrated high sensitivity (92.67% to 99.99%) for VOCs, compared to black phosphorene's 0.78% to 74.55%. Blue phosphorene also has a rapid recovery rate of 18 ps in the ultraviolet region. The Langmuir adsorption isotherm model indicates that under humid conditions, Blue phosphorene shows maximum surface coverage (θ) for biomarkers over vacuum media. Blue phosphorene demonstrates remarkable sensitivity toward all the volatile organic compounds (VOCs), including benzaldehyde, 2‐butanone, heptanal, and tetrahydrofuran, which makes it a promising material for sensing biomarkers associated with respiratory diseases. Overall, Buckled (blue) phosphorene is a better VOCs sensor material than puckered (black) phosphorene.\",\"PeriodicalId\":7219,\"journal\":{\"name\":\"Advanced Theory and Simulations\",\"volume\":\"24 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Theory and Simulations\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/adts.202500061\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Theory and Simulations","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/adts.202500061","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Blue (Buckled) Versus Black (Puckered) Phosphorene Monolayers for Sensing Biomarkers Associated with Respiratory Diseases – A DFT Study
This study investigates puckered (black) and buckled (blue) phosphorene for sensing volatile organic compounds (VOCs) linked to respiratory diseases. The semiconducting nature of both forms is confirmed by their bandgap and density of states. Heptanal shows the most adsorption in both monolayers. AIM analyses indicated the physisorption of VOCs, while the planar average potential and minimum work function suggest surface charge interactions. Blue phosphorene demonstrated high sensitivity (92.67% to 99.99%) for VOCs, compared to black phosphorene's 0.78% to 74.55%. Blue phosphorene also has a rapid recovery rate of 18 ps in the ultraviolet region. The Langmuir adsorption isotherm model indicates that under humid conditions, Blue phosphorene shows maximum surface coverage (θ) for biomarkers over vacuum media. Blue phosphorene demonstrates remarkable sensitivity toward all the volatile organic compounds (VOCs), including benzaldehyde, 2‐butanone, heptanal, and tetrahydrofuran, which makes it a promising material for sensing biomarkers associated with respiratory diseases. Overall, Buckled (blue) phosphorene is a better VOCs sensor material than puckered (black) phosphorene.
期刊介绍:
Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including:
materials, chemistry, condensed matter physics
engineering, energy
life science, biology, medicine
atmospheric/environmental science, climate science
planetary science, astronomy, cosmology
method development, numerical methods, statistics