ULTRA-MICRO OXYGEN SENSOR DEVELOPMENT

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 中心，不一定是研究者的机构。 该资源已经见证了对针对新陈代谢的应用的日益增长的需求。 为了促进这一点，我们开发了几种新技术或整合了其他技术，以允许通过几种方法研究细胞代谢。 其中一些在其他地方也有报道。 一项关键技术是应用自参考微型传感器，迄今为止，这些传感器都是手工制作的（见SPID 0047），结果各不相同。 虽然我们的效率已经大大提高，但电流型传感器的手工生产仍然是一个瓶颈。为了避免这种情况，我们需要在施工中减少可变性，更好地定义我们的最佳条件，并最终采用某种形式的自动化或半自动化生产。 总的来说，我们需要能够提供满足信号检测非侵入性调制技术严格要求的微电极。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The resource has witnessed an increasing demand for applications targeting metabolism. To facilitate this we have developed several new technologies or integrated others to allow the study of cellular metabolism through several approaches. A number of these are reported on elsewhere. A key technique has been the application of self-referencing microsensors which to date have been constructed by hand (see SPID 0047) and with variable results. Although our efficiency here has greatly improved, manual production of amperometric sensors remains a bottleneck. To circumvent this we need to incorporate less variability in the construction, better define our optimal conditions and ultimately incorporate some form of automated or semi automated production. Overall we need to be in the position to supply microelectrodes meeting the exacting requirements of a non-invasive modulation technique for signal detection.