{"title":"High-performance JLCSG MOSFET biosensor considering quantum confinement for multi-region neutral biomolecule species detection","authors":"Qing-an Ding, Shengyuan Fan, Fangfang Ning, Jianyu Li, Bing Chen, Yandong Peng, Fei Wang, Dasheng Diao, Yuhua Gao","doi":"10.1016/j.micrna.2025.208333","DOIUrl":null,"url":null,"abstract":"<div><div>This work demonstrates a high-performance dielectrically modulated biosensor based on short-channel junctionless cylindrical surrounding-gate MOSFET with excellent gate control capability to efficiently suppress the short channel effects (SCEs). Particularly, a novel analytical model incorporating both depleted and free charges has been developed, which significantly enhances detection precision by ensuring high sensitivity and stability across diverse operating regions. Within each region, the quantum confinement effects (QCEs) are rigorously evaluated by solving the Schrödinger equation, revealing the quantized eigenenergies and the corresponding electron density distribution in small-radius channels. Furthermore, the shift in the lowest eigenenergy is leveraged to define a sensitivity metric that directly probes the quantum-level perturbations from biomolecule binding, which effectively amplifies the sensing signal and improves predictive accuracy. Afterwards, the analysis identifies non-ideal incomplete biomolecule hybridization and interface trap charges (ITCs) as the primary sources of performance degradation, providing a clear path for their targeted mitigation. By optimizing the structural parameters guided by key performance metrics and timing response constraints, the proposed device exhibits a superior threshold voltage sensitivity of 0.383 and an exceptionally high current switching ratio of 1 × 10<sup>13</sup>. Therefore, this study is highly suitable for neutral biomolecule detection, even offering robust guidance for the design and multifunctional application of biosensors.</div></div>","PeriodicalId":100923,"journal":{"name":"Micro and Nanostructures","volume":"208 ","pages":"Article 208333"},"PeriodicalIF":3.0000,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Micro and Nanostructures","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773012325002626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, CONDENSED MATTER","Score":null,"Total":0}
引用次数: 0
Abstract
This work demonstrates a high-performance dielectrically modulated biosensor based on short-channel junctionless cylindrical surrounding-gate MOSFET with excellent gate control capability to efficiently suppress the short channel effects (SCEs). Particularly, a novel analytical model incorporating both depleted and free charges has been developed, which significantly enhances detection precision by ensuring high sensitivity and stability across diverse operating regions. Within each region, the quantum confinement effects (QCEs) are rigorously evaluated by solving the Schrödinger equation, revealing the quantized eigenenergies and the corresponding electron density distribution in small-radius channels. Furthermore, the shift in the lowest eigenenergy is leveraged to define a sensitivity metric that directly probes the quantum-level perturbations from biomolecule binding, which effectively amplifies the sensing signal and improves predictive accuracy. Afterwards, the analysis identifies non-ideal incomplete biomolecule hybridization and interface trap charges (ITCs) as the primary sources of performance degradation, providing a clear path for their targeted mitigation. By optimizing the structural parameters guided by key performance metrics and timing response constraints, the proposed device exhibits a superior threshold voltage sensitivity of 0.383 and an exceptionally high current switching ratio of 1 × 1013. Therefore, this study is highly suitable for neutral biomolecule detection, even offering robust guidance for the design and multifunctional application of biosensors.