AMBROSIA: A Multiplexed Plasmo-Photonic Biosensing Platform For Rapid And Intelligent Sepsis Diagnosis At The Point- Of-Care

AMBROSIA：用于护理点快速智能脓毒症诊断的多重等离子体光子生物传感平台

• 批准号: 10066297
• 金额: $ 72.97万
• 依托单位: UNIVERSITY OF SOUTHAMPTON
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10066297
• 关键词: AMBROSIA; Multiplexed; Plasmo; Photonic; Biosensing

AMBROSIA aims to provide the foundations for a multi-sensing future-proof Point of Care Unit for sepsis diagnosis offered by a CMOS compatible toolkit and enhanced by on-chip photonic neural network technology to provide an accurate and rapid diagnosis. AMBROSIA will be investing in the established ultra-small-footprint and elevated sensitivity of integrated plasmo-photonic sensors reinforced by the well-known on-chip slow-light effect and micro-transfer printed lasers and photodiodes on Si3N4, as well as the functional processing and classification portfolio of integrated photonic neural network engines, towards painting the landscape of the next-coming disruption in sensor evolution, tailoring them in System-in-Package prototype assemblies, with the sensors being cheap disposable pluggable modules that can rapidly and accurately diagnose sepsis at the bedside in clinical environments. AMBROSIA targets to demonstrate a Point of Care Unit incorporating: i) a switchable sensor area array, with each sensor area facilitating a pluggable, 8-channel label-free plasmo-photonic sensor for sepsis diagnosis with a sensitivity over 130.000nm/RIU and a Limit of Detection below 10-8 RIU for each interferometric sensor, ii) an embedded Si3N4 photonic neural network processing and classifying at the same time the data from at least 7 biomarkers with zero-power providing in the first minutes an accurate and rapid diagnosis for sepsis, iii) Micro transfer printed lasers and photodetectors on chip that will drastically decrease costs of both the sensing and neural network modules, and render the sensor arrays disposable.

AMBROSIA 旨在为脓毒症诊断的多传感护理点奠定基础，该诊断由 CMOS 兼容工具包提供，并通过片上光子神经网络技术增强，以提供准确、快速的诊断。 AMBROSIA 将投资于已建立的超小型和高灵敏度集成等离子光子传感器，并通过众所周知的片上慢光效应和 Si3N4 上的微转移印刷激光器和光电二极管以及功能性集成光子神经网络引擎的处理和分类组合，旨在描绘传感器发展的下一次颠覆的前景，在系统级封装原型组件中对其进行定制，传感器是廉价的一次性可插拔模块，可以快速和在临床环境中在床边准确诊断脓毒症。 AMBROSIA 的目标是展示一个护理点设备，其中包括：i) 可切换传感器区域阵列，每个传感器区域都支持可插拔、8 通道无标记等离子体光子传感器，用于脓毒症诊断，灵敏度超过 130.000nm/RIU，并且每个干涉传感器的检测限低于 10-8 RIU，ii) 嵌入式 Si3N4 光子神经网络同时对来自至少 7 个传感器的数据进行处理和分类零功率生物标记物可在最初几分钟内为脓毒症提供准确、快速的诊断，iii) 芯片上的微转移印刷激光器和光电探测器将大大降低传感和神经网络模块的成本，并使传感器阵列成为一次性的。