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Non-Invasive Approaches to Measuring Respiratory Patterns Using a PtTFPP Based, Phase-Lifetime, Self-Referencing Oxygen Optrode

机译:使用基于PtTFPP,相寿命,自参考氧电极的无创方法测量呼吸模式

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Optically transduced sensors (optrodes, or optodes) offer significant advantages over polarographic techniques for measuring oxygen. In biology and medicine, how we make measurements is very important, and this is especially true in terms of physiological exchange. Cellular and tissue oxygenation is a function of background concentration and respiratory demand, and in pure physical terms this is best expressed in terms of molecular flux based on Fick's law. Measuring dynamic flux from biological systems requires sensing technology that can measure activity in multiple dimensions. Here we report the development of a self-referencing oxygen optrode (SRO) for reliably making non-invasive measurements of oxygen flux from a variety of biological systems. The self-referencing microsensor technique was adapted to operate optrodic oxygen sensors through the integration of optical sensing instrumentation with software-controlled data acquisition and micro-stepping motion control. This allows the sensor to scan biologically active gradients of oxygen flux directly, as it relates to cellular and tissue respiratory activity. The technique was validated first using artificially generated oxygen gradients, which are theoretically modelled and compare with measured signals. Subsequently, the SRO was applied in basic research applications to non-invasively measure molecular oxygen flux from a variety of animal and plant systems.
机译:与用于测量氧气的极谱技术相比,光传感传感器(光电二极管或光电二极管)具有明显的优势。在生物学和医学上,我们如何进行测量非常重要,就生理交换而言尤其如此。细胞和组织的氧合作用是背景浓度和呼吸需求的函数,在纯物理术语中,这最好根据菲克定律以分子通量来表示。测量来自生物系统的动态通量需要传感技术,该技术可以测量多个维度的活动。在这里,我们报告了一种自参考氧气电极(SRO)的开发,该产品可可靠地对来自各种生物系统的氧气通量进行无创测量。通过将光学传感仪器与软件控制的数据采集和微步进运动控制相集成,自参考微传感器技术适用于操作氧传感器。这使传感器可以直接扫描氧气通量的生物活性梯度,因为它与细胞和组织的呼吸活动有关。首先使用人工产生的氧气梯度对该技术进行了验证,该氧气梯度在理论上已建模并与测量信号进行了比较。随后,SRO被用于基础研究应用中,以无创方式测量来自各种动植物系统的分子氧通量。

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