Benchtop Device for Detection of BoNT in Clinical Samples

我们建议开发用于定量检测肉毒杆菌神经毒素（BoNT）的设备， 使用全自动台式仪器测量阿托摩尔灵敏度。我们将采用现有的珠为基础的 BoNT ALISSA技术，由City of Hope的Kalkum实验室开发， 一般液体处理机器人使用的格式。我们还将开发一种自动化的，高度敏感的， 和廉价的波导为基础的光学读出系统集成在机器人。所得 一个功能性的原型系统，期望能自动处理和分析多个样品 同时和重复（高达96每小时）。肉毒杆菌的自动校准程序和控制 将包括毒素和非肉毒杆菌毒素蛋白酶。我们的检测系统将进行测试和验证， 复杂的生物基质，如血清、固体器官和食物提取物以及临床样品。

We are proposing to develop devices for the quantitative detection of botulinum neurotoxins (BoNT) at attomolar sensitivity with fully automated bench-top instrumentation. We will adopt the existing bead-based BoNT ALISSA technology, developed by the Kalkum lab at City of Hope, into a monolithic microcolumn format to be utilized by common liquid handling robots. We will also develop an automated, highly sensitive, and inexpensive wave-guide-based optical read-out system for integration in the robots. The resulting functional prototype system is expected to automatically process and analyze multiple samples simultaneously and repeatedly (up to 96 per hour). Automated calibration routines and controls for botulinum toxin and non-botulinum toxin proteases will be included. Our assay system will be tested and validated with complex biological matrices such as serum, solid organ and food extracts as well as clinical samples.