Surfix Diagnostics, Agro Business Park 2, 6708 PW Wageningen, The Netherlands.
CSEM, Untere Gründlistrasse 1, 6055 Alpnach, Switzerland.
Sensors (Basel). 2024 Aug 13;24(16):5241. doi: 10.3390/s24165241.
Aquaculture is expected to play a vital role in solving the challenge of sustainably providing the growing world population with healthy and nutritious food. Pathogen outbreaks are a major risk for the sector, so early detection and a timely response are crucial. This can be enabled by monitoring the pathogen levels in aquaculture facilities. This paper describes a photonic biosensing platform based on silicon nitride waveguide technology with integrated active components, which could be used for such applications. Compared to the state of the art, the current system presents improvements in terms of miniaturization of the Photonic Integrated Circuit (PIC) and the development of wafer-level processes for hybrid integration of active components and for material-selective chemical and biological surface modification. Furthermore, scalable processes for integrating the PIC in a microfluidic cartridge were developed, as well as a prototype desktop readout instrument. Three bacterial aquaculture pathogens (, , and ) were selected for assay development. DNA biomarkers were identified, corresponding primer-probe sets designed, and qPCR assays developed. The biomarker for was also detected using the hybrid PIC platform. This is the first successful demonstration of biosensing on the hybrid PIC platform.
水产养殖有望在解决为不断增长的世界人口提供健康和营养食品的可持续性挑战方面发挥重要作用。病原体爆发是该行业的主要风险,因此早期检测和及时响应至关重要。这可以通过监测水产养殖设施中的病原体水平来实现。本文介绍了一种基于氮化硅波导技术的光学生物传感平台,该平台具有集成的有源组件,可用于此类应用。与现有技术相比,当前系统在光子集成电路 (PIC) 的小型化以及用于有源组件的混合集成和用于材料选择性化学和生物表面修饰的晶圆级工艺方面都有所改进。此外,还开发了用于将 PIC 集成到微流控盒中的可扩展工艺,以及原型台式读出仪器。选择了三种水产养殖病原体(、和)用于检测方法的开发。鉴定了 DNA 生物标志物,设计了相应的引物-探针组,并开发了 qPCR 检测方法。还使用混合 PIC 平台检测了 的生物标志物。这是在混合 PIC 平台上进行生物传感的首次成功演示。