Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression.

Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression.
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DOI:
10.1007/s00216-021-03665-1
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发表时间:
2021-11
影响因子:
4.3
通讯作者:
Andrews AM
Andrews AM
中科院分区:
化学2区
文献类型:
--
作者:
Movassaghi CS;Perrotta KA;Yang H;Iyer R;Cheng X;Dagher M;Fillol MA;Andrews AM

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已经开发了许多伏安法来监测大脑细胞外多巴胺水平。成功检测体内血清素的方法较少。目前还没有伏安技术可以跨时间尺度同时监测两种神经递质,尽管它们在调节行为中发挥着综合作用。我们提供快速脉冲伏安法与偏最小二乘回归 (RPV-PLSR) 相结合的概念验证,这是一种改编自多电极系统(即电子舌)的方法,用于识别复杂环境中的多个组件。我们利用分析物氧化还原曲线的微小差异来选择 RPV 波形的脉冲步长。使用特意设计的脉冲策略结合定制仪器和分析软件,我们监测了多巴胺和血清素的基础和刺激水平。除了法拉第电流之外,电容电流也是分析物识别中反对背景扣除的重要因素。与快速扫描循环伏安法-主成分回归 (FSCV-PCR) 相比,RPV-PLSR 可以更好地区分和量化与纹状体记录电极位置、光刺激频率和血清素再摄取抑制相关的基础和刺激多巴胺和血清素。 RPV-PLSR 方法可以推广到其他电化学活性神经递质,并为未来优化多分析物、适合用途的波形和数据分析的机器学习方法提供反馈管道。在线版本包含可在 10.1007/s00216-021-03665-1 获取的补充材料。
Many voltammetry methods have been developed to monitor brain extracellular dopamine levels. Fewer approaches have been successful in detecting serotonin in vivo. No voltammetric techniques are currently available to monitor both neurotransmitters simultaneously across timescales, even though they play integrated roles in modulating behavior. We provide proof-of-concept for rapid pulse voltammetry coupled with partial least squares regression (RPV-PLSR), an approach adapted from multi-electrode systems (i.e., electronic tongues) used to identify multiple components in complex environments. We exploited small differences in analyte redox profiles to select pulse steps for RPV waveforms. Using an intentionally designed pulse strategy combined with custom instrumentation and analysis software, we monitored basal and stimulated levels of dopamine and serotonin. In addition to faradaic currents, capacitive currents were important factors in analyte identification arguing against background subtraction. Compared to fast-scan cyclic voltammetry-principal components regression (FSCV-PCR), RPV-PLSR better differentiated and quantified basal and stimulated dopamine and serotonin associated with striatal recording electrode position, optical stimulation frequency, and serotonin reuptake inhibition. The RPV-PLSR approach can be generalized to other electrochemically active neurotransmitters and provides a feedback pipeline for future optimization of multi-analyte, fit-for-purpose waveforms and machine learning approaches to data analysis. The online version contains supplementary material available at 10.1007/s00216-021-03665-1.
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