Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, North Carolina 27695, United States.
ACS Sens. 2023 Nov 24;8(11):4091-4100. doi: 10.1021/acssensors.3c01267. Epub 2023 Nov 14.
Glutamate and dopamine (DA) represent two key contributors to striatal functioning, a region of the brain that is essential to motor coordination and motivated behavior. While electroanalytical techniques can be utilized for rapid, spatially resolved detection of DA in the interferent-rich brain environment, glutamate, a nonelectroactive analyte, cannot be directly detected using electroanalytical techniques. However, it can be probed using enzyme-based sensors, which generate an electroactive reporter in the presence of glutamate. The vast majority of glutamate biosensors have relied on amperometric sensing, which is an inherently nonselective detection technique. This approach necessitates the use of complex and performance-limiting modifications to ensure the desired single-analyte specificity. Here, we present a novel glutamate microbiosensor fabricated on a carbon-fiber microelectrode substrate and coupled with fast-scan cyclic voltammetry (FSCV) to enable the simultaneous quantification of glutamate and DA at single recording sites in the brain, which is impossible when using typical amperometric approaches. The glutamate microbiosensors were characterized for sensitivity, stability, and selectivity by using a voltammetric waveform optimized for the simultaneous detection of both species. The applicability of these sensors for the investigation of neural circuits was validated in the rat ventral striatum. Electrically evoked glutamate and DA release were recorded at single-micrometer-scale locations before and after pharmacological manipulation of glutamatergic signaling. Our novel glutamate microbiosensor advances the state of the art by providing a powerful tool for probing coordination between these two species in a way that has previously not been possible.
谷氨酸和多巴胺(DA)代表了纹状体功能的两个关键贡献者,纹状体是大脑中对运动协调和动机行为至关重要的区域。虽然电化学分析技术可用于在富含干扰物的大脑环境中快速、空间分辨地检测 DA,但谷氨酸作为一种非电活性分析物,不能直接使用电化学分析技术进行检测。然而,可以使用基于酶的传感器来探测它,该传感器在存在谷氨酸的情况下会产生电活性报告物。绝大多数谷氨酸生物传感器都依赖于电流检测,这是一种固有非选择性的检测技术。这种方法需要使用复杂且性能受限的修饰来确保所需的单一分析物特异性。在这里,我们展示了一种基于碳纤维微电极基底制造的新型谷氨酸微生物传感器,并与快速扫描循环伏安法(FSCV)相结合,可在大脑的单个记录位点同时定量检测谷氨酸和 DA,这是使用典型的电流检测方法无法实现的。通过使用优化的伏安波形对两种物质进行同时检测,对谷氨酸微生物传感器的灵敏度、稳定性和选择性进行了表征。在大鼠腹侧纹状体中验证了这些传感器用于研究神经回路的适用性。在进行谷氨酸能信号转导的药理学处理前后,在单个微米级尺度位置记录了电诱发的谷氨酸和 DA 释放。我们的新型谷氨酸微生物传感器通过提供一种强大的工具来探测这两种物质之间的协调,从而推进了该领域的技术水平,这在以前是不可能的。