Department of Agricultural & Biological Engineering, Purdue University, West Lafayette, IN 47906, USA.
J Neurosci Methods. 2010 May 30;189(1):14-22. doi: 10.1016/j.jneumeth.2010.03.001. Epub 2010 Mar 16.
Quantification of neurotransmitter transport dynamics is hindered by a lack of sufficient tools to directly monitor bioactive flux under physiological conditions. Traditional techniques for studying neurotransmitter release/uptake require inferences from non-selective electrical recordings, are invasive/destructive, and/or suffer from poor temporal resolution. Recent advances in electrochemical biosensors have enhanced in vitro and in vivo detection of neurotransmitter concentration under physiological/pathophysiological conditions. The use of enzymatic biosensors with performance enhancing materials (e.g., carbon nanotubes) has been a major focus for many of these advances. However, these techniques are not used as mainstream neuroscience research tools, due to relatively low sensitivity, excessive drift/noise, low signal-to-noise ratio, and inability to quantify rapid neurochemical kinetics during synaptic transmission. A sensing technique known as self-referencing overcomes many of these problems, and allows non-invasive quantification of biophysical transport. This work presents a self-referencing CNT modified glutamate oxidase biosensor for monitoring glutamate flux near neural/neuronal cells. Concentration of basal glutamate was similar to other in vivo and in vitro measurements. The biosensor was used in self-referencing (oscillating) mode to measure net glutamate flux near neural cells during electrical stimulation. Prior to stimulation, the average influx was 33.9+/-6.4 fmol cm(-2)s(-1)). Glutamate efflux took place immediately following stimulation, and was always followed by uptake in the 50-150 fmol cm(-2)s(-1) range. Uptake was inhibited using threo-beta-benzyloxyaspartate, and average surface flux in replicate cells (1.1+/-7.4 fmol cm(-2)s(-1)) was significantly lower than uninhibited cells. The technique is extremely valuable for studying neuropathological conditions related to neurotransmission under dynamic physiological conditions.
神经递质转运动力学的量化受到缺乏足够的工具直接监测生理条件下生物活性通量的限制。传统的研究神经递质释放/摄取的技术需要从非选择性电记录中推断,具有侵入性/破坏性,并且/或者时间分辨率差。电化学生物传感器的最新进展增强了在生理/病理生理条件下检测神经递质浓度的体外和体内检测。使用具有性能增强材料(例如,碳纳米管)的酶生物传感器一直是许多这些进展的主要重点。然而,由于相对较低的灵敏度、过度漂移/噪声、低信噪比以及无法量化突触传递过程中的快速神经化学动力学,这些技术并未被用作主流神经科学研究工具。一种称为自参考的传感技术克服了许多这些问题,并允许对生物物理转运进行非侵入性量化。这项工作提出了一种自参考 CNT 修饰的谷氨酸氧化酶生物传感器,用于监测神经/神经元细胞附近的谷氨酸通量。基础谷氨酸的浓度与其他体内和体外测量值相似。该生物传感器在自参考(振荡)模式下用于在电刺激期间测量神经细胞附近的净谷氨酸通量。刺激前,平均内流为 33.9+/-6.4 fmol cm(-2)s(-1))。谷氨酸外排发生在刺激后立即,并且总是在摄取之后在 50-150 fmol cm(-2)s(-1)范围内。使用 threo-beta-苄氧基天冬氨酸抑制摄取,并且在复制细胞中的平均表面通量(1.1+/-7.4 fmol cm(-2)s(-1))明显低于未抑制的细胞。该技术对于研究与动态生理条件下的神经传递有关的神经病理学状况非常有价值。