新型快速伏安法实验与分析策略:2。用于FSCV校准的无故障流动电池

IF 4.6 Q1 CHEMISTRY, ANALYTICAL
Melissa Hexter, Joseph van Batenburg-Sherwood and Parastoo Hashemi*, 
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引用次数: 1

摘要

碳纤维微电极快速扫描循环伏安法(FSCV)是一种传统上用于生物系统中神经递质实时定量的方法。CFM的可靠校准对于将FSCV信号转换为分析物浓度至关重要,并且通常使用内部制造的流动池进行流动注射分析(FIA)。这种FSCV FIA电池通常需要进行重大且持续的故障排除,脉冲、泄漏、流量不一致和死体积是常见挑战的主要原因。在这项工作中,我们通过创建一个强大的即插即用FSCV流动池来解决这些问题。这种新颖的设计允许使用低成本材料进行可重复、高精度和稳定的流动注射剖面,以改进FSCV校准。提供了可打印的计算机辅助设计和硬件列表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Novel Experimental and Analysis Strategies for Fast Voltammetry: 2. A Troubleshoot-Free Flow Cell for FSCV Calibrations

Novel Experimental and Analysis Strategies for Fast Voltammetry: 2. A Troubleshoot-Free Flow Cell for FSCV Calibrations

Fast scan cyclic voltammetry (FSCV) at carbon fiber microelectrodes (CFMs) is a method traditionally used for real-time quantification of neurotransmitters in biological systems. Reliable calibration of CFMs is essential for converting FSCV signals to analyte concentrations and generally employs flow injection analysis (FIA) performed with flow cells fabricated in-house. Such FSCV FIA cells often require significant and ongoing troubleshooting with pulsing, leaking, flow inconsistencies and dead volume being major causes of common challenges. In this work, we address these issues by creating a robust, plug-and-play FSCV flow cell. This novel design permits reproducible, high-precision, and stable flow injection profiles using low-cost materials to improve FSCV calibration. The ready-to-print computer-aided designs and hardware list are provided.

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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
发文量
0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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