虹彩病毒是一组双链DNA病毒，对各种水生动物构成重大威胁，给水产养殖造成巨大的经济损失并影响生态系统健康。早期、准确地检测这些病毒对于有效的疾病管理和控制至关重要。传统的诊断方法，包括聚合酶链反应（PCR）和病毒分离，通常需要专门的实验室、熟练的人员和大量的时间。这凸显了对虹彩病毒检测快速、灵敏且经济高效的诊断工具的需求。单层石墨烯是一种二维材料，具有高表面积、优异的导电性和化学稳定性等独特性能，已成为生物传感应用的多功能平台。本文探讨了采用单层石墨烯开发生物纳米传感器以灵敏、快速检测虹彩病毒的潜力。本研究的目的是通过分析附着微生物的单层石墨烯片（SLGS）的振动响应来开发传感器。基于石墨烯的病毒传感器通常依赖于病毒与石墨烯表面之间的相互作用，这会导致石墨烯频率响应的变化。测量这种变化并用于检测病毒的存在。其高表面积与体积比以及对其频率变化的敏感性使其成为高度灵敏的病毒检测平台。我们采用有限元法（FEM）分析来模拟传感器的性能并优化其设计参数。模拟结果凸显了该传感器实现虹彩病毒高灵敏度和快速检测的潜力。通过在 SLG 结构末端应用滚子支撑边界条件进行桥接和简单支撑。已经进行了模拟，以了解 SLG 在用作传感器时的行为方式。长度为 50 nm 的单层石墨烯扶手椅 SLG (5,5) 的最高振动频率为 8.66 × 106 Hz，质量为 1.2786 Zg。相比之下，具有 (18,0) 配置的 zigzag-SLG 的最低振动频率为 2.82 × 105 Hz。这有助于理解检测阈值以及尺寸和边界条件等因素对传感器有效性的影响。这些生物传感器在生物科学和医学领域特别有用，因为它们在临床环境中使用时可以显着改善患者的治疗、癌症早期诊断和病原体识别。© 2024。作者，获得 Springer 的独家许可-Verlag GmbH 德国，施普林格自然集团的一部分。

Iridoviruses, a group of double-stranded DNA viruses, pose a significant threat to various aquatic animals, causing substantial economic losses in aquaculture and impacting ecosystem health. Early and accurate detection of these viruses is crucial for effective disease management and control. Conventional diagnostic methods, including polymerase chain reaction (PCR) and virus isolation, often require specialized laboratories, skilled personnel, and considerable time. This highlights the need for rapid, sensitive, and cost-effective diagnostic tools for iridovirus detection. Single-layer graphene, a two-dimensional material with unique properties like high surface area, excellent electrical conductivity, and chemical stability, has emerged as a versatile platform for biosensing applications. This paper explores the potential of employing single-layer graphene in the development of a bionanosensor for the sensitive and rapid detection of iridoviruses. The aim of the present investigation is to develop a sensor by analyzing the vibrational responses of single-layer graphene sheets (SLGS) with attached microorganisms. Graphene-based virus sensors typically rely on the interaction between the virus and the graphene surface, which lead to changes in the frequency response of graphene. This change is measured and used to detect the presence of the virus. Its high surface-to-volume ratio and sensitivity to changes in its frequency make it a highly sensitive platform for virus detection.We employ finite element method (FEM) analysis to model the sensor's performance and optimize its design parameters. The simulation results highlight the sensor's potential for achieving high sensitivity and rapid detection of iridovirus. Bridged and simply supported with roller support boundary conditions applied at the ends of SLG structure. Simulations have been performed to see how SLG behaves when used as sensors. A single-layer graphene armchair SLG (5,5) with 50-nm length exhibits its highest frequency vibration at 8.66 × 106 Hz, with a mass of 1.2786 Zg. In contrast, a zigzag-SLG with a (18,0) configuration has its lowest frequency vibration at 2.82 × 105 Hz. This aids in comprehending the thresholds of detection and the influence of factors such as size, and boundary conditions on sensor effectiveness. These biosensors can be especially helpful in biological sciences and the medical field since they can considerably improve the treatment of patients, cancer early diagnosis, and pathogen identification when used in clinical environments.© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.