Resonantly enhanced fluorescence spectroscopy of industrial process liquids.

工业过程液体的共振增强荧光光谱。

• 批准号: 2778246
• 金额: --
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2778246
• 关键词: Resonantly; enhanced; fluorescence; spectroscopy; industrial

This project will explore the use of optical methods such as resonantly-enhanced fluorescence for bacterial identification. We will build on the photonic sensor capability already developed together with P&G in a previous project and adapt the instrumentation accordingly. Pilot results have already indicated that our guided mode resonance (GMR) sensor modality can resonantly enhance fluorescence emission. We will build on these results and use them to study the bacteria forming the biofilm in more detail; we aim to differentiate between gram-positive and gram-negative bacteria as a first step. Identifying the bacterial species in more detail, and therefore the source of contamination in the process fluid, is more challenging, but feasible. In addition to providing much better information about bacterial contamination, this technique may also be capable of identifying the chemical mixture of the process liquid, so can be used for process control more generally.

该项目将探索使用光学方法，如共振增强荧光用于细菌鉴定。我们将建立在光子传感器的能力已经开发与宝洁公司在以前的项目，并相应地调整仪器。初步结果已经表明，我们的导模共振（GMR）传感器模态可以共振增强荧光发射。我们将建立在这些结果的基础上，并使用它们来更详细地研究形成生物膜的细菌;我们的目标是区分革兰氏阳性和革兰氏阴性细菌作为第一步。更详细地识别细菌种类，从而识别工艺流体中的污染源，更具挑战性，但可行。除了提供关于细菌污染的更好的信息之外，该技术还能够识别过程液体的化学混合物，因此可以更普遍地用于过程控制。