1
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Alyamni N, Abot JL, Zestos AG. Perspective-Advances in Voltammetric Methods for the Measurement of Biomolecules. ECS SENSORS PLUS 2024; 3:027001. [PMID: 38645638 PMCID: PMC11024638 DOI: 10.1149/2754-2726/ad3c4f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 04/03/2024] [Accepted: 04/09/2024] [Indexed: 04/23/2024]
Abstract
Voltammetry is a powerful electroanalytical tool that makes fast, real-time measurements of neurotransmitters and other molecules. Electroanalytical methods like cyclic, pulse, and stripping voltammetry are useful for qualitative and quantitative examination. Neurochemical sensing has been enhanced using carbon-based electrodes and waveform modification methods that improve sensitivity and stability of electrode performance. Voltammetry has revolutionized neurochemical monitoring by providing real-time information on neurotransmitter dynamics for neurochemical studies. Selectivity and electrode fouling remain issues for biomolecule detection, but recent advances promise new methods of analysis for other applications to enhance spatiotemporal resolution, sensitivity, selectivity, and other important considerations.
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Affiliation(s)
- Nadiah Alyamni
- Department of Biomedical Engineering, The Catholic University of America, Washington, DC, 20064, United States of America
- Department of Chemistry, American University, Washington, D.C. 20016, United States of America
| | - Jandro L. Abot
- Department of Mechanical Engineering, The Catholic University of America, Washington, DC, 20064, United States of America
| | - Alexander G. Zestos
- Department of Chemistry, American University, Washington, D.C. 20016, United States of America
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2
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Movassaghi CS, Alcañiz Fillol M, Kishida KT, McCarty G, Sombers LA, Wassum KM, Andrews AM. Maximizing Electrochemical Information: A Perspective on Background-Inclusive Fast Voltammetry. Anal Chem 2024; 96:6097-6105. [PMID: 38597398 PMCID: PMC11044109 DOI: 10.1021/acs.analchem.3c04938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/07/2024] [Accepted: 03/08/2024] [Indexed: 04/11/2024]
Abstract
This perspective encompasses a focused review of the literature leading to a tipping point in electroanalytical chemistry. We tie together the threads of a "revolution" quietly in the making for years through the work of many authors. Long-held misconceptions about the use of background subtraction in fast voltammetry are addressed. We lay out future advantages that accompany background-inclusive voltammetry, particularly when paired with modern machine-learning algorithms for data analysis.
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Affiliation(s)
- Cameron S. Movassaghi
- Department
of Chemistry and Biochemistry, University
of California, Los Angeles, Los Angeles, California 90095, United States
| | - Miguel Alcañiz Fillol
- Interuniversity
Research Institute for Molecular Recognition and Technological Development, Universitat Politècnica de València-Universitat
de València, Camino de Vera s/n, Valencia 46022, Spain
| | - Kenneth T. Kishida
- Department
of Translational Neuroscience, Wake Forest
School of Medicine, Winston-Salem, North Carolina 27101, United States
- Department
of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, United States
| | - Gregory McCarty
- Department
of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Leslie A. Sombers
- Department
of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States
- Comparative
Medicine Institute, North Carolina State
University, Raleigh, North Carolina 27695, United States
| | - Kate M. Wassum
- Department
of Psychology, University of California,
Los Angeles, Los Angeles, California 90095, United States
- Brain Research
Institute, University of California, Los
Angeles, Los Angeles, California 90095, United States
- Integrative
Center for Learning and Memory, University
of California, Los Angeles, Los
Angeles, California 90095, United States
- Integrative
Center for Addictive Disorders, University
of California, Los Angeles, Los
Angeles, California 90095, United States
| | - Anne Milasincic Andrews
- Department
of Chemistry and Biochemistry, University
of California, Los Angeles, Los Angeles, California 90095, United States
- Brain Research
Institute, University of California, Los
Angeles, Los Angeles, California 90095, United States
- Department
of Psychiatry and Biobehavioral Science, University of California, Los Angeles, Los Angeles, California 90095, United States
- Hatos Center
for Neuropharmacology, University of California,
Los Angeles, Los Angeles, California 90095, United States
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3
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Manjula N, Pulikkutty S, Chen SM. 3D flower-like ceria silver co-doped zinc oxide catalyst assembled by nanorod for electrochemical sensing of zearalenone in food samples. Food Chem 2023; 416:135777. [PMID: 36893646 DOI: 10.1016/j.foodchem.2023.135777] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/17/2023] [Accepted: 02/20/2023] [Indexed: 02/24/2023]
Abstract
To ensure food safety and quality, the development of rapid detection of mycotoxins using sensitive and accurate methods is essential. Zearalenone is one of the mycotoxins found in cereals, and its toxicity poses a serious risk to humans. For this concern, a simple ceria silver co doped zinc oxide (Ce-Ag/ZnO) catalyst was prepared by coprecipitation approach. The physical properties of the catalyst were characterized by XRD, FTIR, XPS, FESEM, and TEM. The Ce-Ag/ZnO catalyst was used as an electrode material for the detection of ZEN in food samples due to its synergistic effect and high catalytic activity. The sensor exhibits good catalytic performance with a detection limit of 0.26 µg/mL. Moreover, the efficiency of the prepared sensor was confirmed by selectivity in interference studies and real-time analysis in food samples. Our research is an essential technique for using trimetallic heterostructures to study the construction of sensors.
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Affiliation(s)
- Natesan Manjula
- Electroanalysis and Bioelectrochemistry Lab, Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, No.1, Section 3, Chung-Hsiao East 8 Road, Taipei 106, Taiwan, ROC
| | - Subramaniyan Pulikkutty
- Electroanalysis and Bioelectrochemistry Lab, Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, No.1, Section 3, Chung-Hsiao East 8 Road, Taipei 106, Taiwan, ROC
| | - Shen-Ming Chen
- Electroanalysis and Bioelectrochemistry Lab, Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, No.1, Section 3, Chung-Hsiao East 8 Road, Taipei 106, Taiwan, ROC.
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4
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de Faria LV, Rocha RG, Arantes LC, Ramos DL, Lima CD, Richter EM, P dos Santos WT, Muñoz RA. Cyclic square-wave voltammetric discrimination of the amphetamine-type stimulants MDA and MDMA in real-world forensic samples by 3D-printed carbon electrodes. Electrochim Acta 2022. [DOI: 10.1016/j.electacta.2022.141002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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5
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Goyal A, Hwang S, Rusheen AE, Blaha CD, Bennet KE, Lee KH, Jang DP, Oh Y, Shin H. Software for near-real-time voltammetric tracking of tonic neurotransmitter levels in vivo. Front Neurosci 2022; 16:899436. [PMID: 36213749 PMCID: PMC9537688 DOI: 10.3389/fnins.2022.899436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 08/30/2022] [Indexed: 11/26/2022] Open
Abstract
Tonic extracellular neurotransmitter concentrations are important modulators of central network homeostasis. Disruptions in these tonic levels are thought to play a role in neurologic and psychiatric disease. Therefore, ways to improve their quantification are actively being investigated. Previously published voltammetric software packages have implemented FSCV, which is not capable of measuring tonic concentrations of neurotransmitters in vivo. In this paper, custom software was developed for near-real-time tracking (scans every 10 s) of neurotransmitters’ tonic concentrations with high sensitivity and spatiotemporal resolution both in vitro and in vivo using cyclic voltammetry combined with dynamic background subtraction (M-CSWV and FSCAV). This software was designed with flexibility, speed, and user-friendliness in mind. This software enables near-real-time measurement by reducing data analysis time through an optimized modeling algorithm, and efficient memory handling makes long-term measurement possible. The software permits customization of the cyclic voltammetric waveform shape, enabling experiments to detect a specific analyte of interest. Finally, flexibility considerations allow the user to alter the fitting parameters, filtering characteristics, and size and shape of the analyte kernel, based on data obtained live during the experiment to obtain accurate measurements as experimental conditions change. Herein, the design and advantages of this near-real-time voltammetric software are described, and its use is demonstrated in in vivo experiments.
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Affiliation(s)
- Abhinav Goyal
- Mayo Clinic Medical Scientist Training Program, Mayo Clinic, Rochester, MN, United States
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
| | - Sangmun Hwang
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Aaron E. Rusheen
- Mayo Clinic Medical Scientist Training Program, Mayo Clinic, Rochester, MN, United States
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
| | - Charles D. Blaha
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
| | - Kevin E. Bennet
- Division of Engineering, Mayo Clinic, Rochester, MN, United States
| | - Kendall H. Lee
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States
| | - Dong Pyo Jang
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Yoonbae Oh
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States
| | - Hojin Shin
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States
- *Correspondence: Hojin Shin,
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6
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A machine learning-based multimodal electrochemical analytical device based on eMoSx-LIG for multiplexed detection of tyrosine and uric acid in sweat and saliva. Anal Chim Acta 2022; 1232:340447. [DOI: 10.1016/j.aca.2022.340447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/19/2022] [Accepted: 09/23/2022] [Indexed: 11/20/2022]
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7
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Shao Z, Chang Y, Venton BJ. Carbon microelectrodes with customized shapes for neurotransmitter detection: A review. Anal Chim Acta 2022; 1223:340165. [PMID: 35998998 PMCID: PMC9867599 DOI: 10.1016/j.aca.2022.340165] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/08/2022] [Accepted: 07/09/2022] [Indexed: 01/26/2023]
Abstract
Carbon is a popular electrode material for neurotransmitter detection due to its good electrochemical properties, high biocompatibility, and inert chemistry. Traditional carbon electrodes, such as carbon fibers, have smooth surfaces and fixed shapes. However, newer studies customize the shape and nanostructure the surface to enhance electrochemistry for different applications. In this review, we show how changing the structure of carbon electrodes with methods such as chemical vapor deposition (CVD), wet-etching, direct laser writing (DLW), and 3D printing leads to different electrochemical properties. The customized shapes include nanotips, complex 3D structures, porous structures, arrays, and flexible sensors with patterns. Nanostructuring enhances sensitivity and selectivity, depending on the carbon nanomaterial used. Carbon nanoparticle modifications enhance electron transfer kinetics and prevent fouling for neurochemicals that are easily polymerized. Porous electrodes trap analyte momentarily on the scale of an electrochemistry experiment, leading to thin layer electrochemical behavior that enhances secondary peaks from chemical reactions. Similar thin layer cell behavior is observed at cavity carbon nanopipette electrodes. Nanotip electrodes facilitate implantation closer to the synapse with reduced tissue damage. Carbon electrode arrays are used to measure from multiple neurotransmitter release sites simultaneously. Custom-shaped carbon electrodes are enabling new applications in neuroscience, such as distinguishing different catecholamines by secondary peaks, detection of vesicular release in single cells, and multi-region measurements in vivo.
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Affiliation(s)
- Zijun Shao
- Dept. of Chemistry, University of Virginia, Charlottesville, VA, 22904-4319, USA
| | - Yuanyu Chang
- Dept. of Chemistry, University of Virginia, Charlottesville, VA, 22904-4319, USA
| | - B Jill Venton
- Dept. of Chemistry, University of Virginia, Charlottesville, VA, 22904-4319, USA.
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8
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Robbins EM, Castagnola E, Cui XT. Accurate and stable chronic in vivo voltammetry enabled by a replaceable subcutaneous reference electrode. iScience 2022; 25:104845. [PMID: 35996579 PMCID: PMC9391596 DOI: 10.1016/j.isci.2022.104845] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 06/16/2022] [Accepted: 07/22/2022] [Indexed: 01/12/2023] Open
Abstract
In vivo sensing of neurotransmitters has provided valuable insight into both healthy and diseased brain. However, chronically implanted Ag/AgCl reference electrodes suffer from degradationgradation, resulting in errors in the potential at the working electrode. Here, we report a simple, effective way to protect in vivo sensing measurements from reference polarization with a replaceable subcutaneously implanted reference. We compared a brain-implanted reference and a subcutaneous reference and observed no difference in impedance or dopamine redox peak separation in an acute preparation. Chronically, peak background potential and dopamine oxidation potential shifts were eliminated for three weeks. Scanning electron microscopy shows changes in surface morphology and composition of chronically implanted Ag/AgCl electrodes, and postmortem histology reveals extensive cell death and gliosis in the surrounding tissue. As accurate reference potentials are critical to in vivo electrochemistry applications, this simple technique can improve a wide and diverse assortment of in vivo preparations.
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Affiliation(s)
- Elaine Marie Robbins
- Department of Bioengineering, University of Pittsburgh, 5057 Biomedical Science Tower 3, 3501 Fifth Avenue, Pittsburgh, PA 15260, USA
| | - Elisa Castagnola
- Department of Bioengineering, University of Pittsburgh, 5057 Biomedical Science Tower 3, 3501 Fifth Avenue, Pittsburgh, PA 15260, USA
| | - Xinyan Tracy Cui
- Department of Bioengineering, University of Pittsburgh, 5057 Biomedical Science Tower 3, 3501 Fifth Avenue, Pittsburgh, PA 15260, USA
- Center for Neural Basis of Cognition, Pittsburgh, PA, USA
- McGowan Institute for Regenerative Medicine, Pittsburgh, PA, USA
- Corresponding author
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9
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Tjahjono N, Jin Y, Hsu A, Roukes M, Tian L. Letting the little light of mind shine: Advances and future directions in neurochemical detection. Neurosci Res 2022; 179:65-78. [PMID: 34861294 PMCID: PMC9508992 DOI: 10.1016/j.neures.2021.11.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 11/29/2021] [Indexed: 12/12/2022]
Abstract
Synaptic transmission via neurochemical release is the fundamental process that integrates and relays encoded information in the brain to regulate physiological function, cognition, and emotion. To unravel the biochemical, biophysical, and computational mechanisms of signal processing, one needs to precisely measure the neurochemical release dynamics with molecular and cell-type specificity and high resolution. Here we reviewed the development of analytical, electrochemical, and fluorescence imaging approaches to detect neurotransmitter and neuromodulator release. We discussed the advantages and practicality in implementation of each technology for ease-of-use, flexibility for multimodal studies, and challenges for future optimization. We hope this review will provide a versatile guide for tool engineering and applications for recording neurochemical release.
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Affiliation(s)
- Nikki Tjahjono
- Biomedical Engineering Graduate Group, University of California, Davis, Davis, CA, 95616, USA
| | - Yihan Jin
- Neuroscience Graduate Group, University of California, Davis, Davis, CA, 95618, USA
| | - Alice Hsu
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Michael Roukes
- Department of Physics, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Lin Tian
- Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA, 95616, USA.
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10
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Kang Y, Goyal A, Hwang S, Park C, Cho HU, Shin H, Park J, Bennet KE, Lee KH, Oh Y, Jang DP. Enhanced Dopamine Sensitivity Using Steered Fast-Scan Cyclic Voltammetry. ACS OMEGA 2021; 6:33599-33606. [PMID: 34926907 PMCID: PMC8675016 DOI: 10.1021/acsomega.1c04475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/16/2021] [Indexed: 05/09/2023]
Abstract
Fast-scan cyclic voltammetry (FSCV) is a technique for measuring phasic release of neurotransmitters with millisecond temporal resolution. The current data are captured by carbon fiber microelectrodes, and non-Faradaic current is subtracted from the background current to extract the Faradaic redox current through a background subtraction algorithm. FSCV is able to measure neurotransmitter concentrations in vivo down to the nanomolar scale, making it a very robust and useful technique for probing neurotransmitter release dynamics and communication across neural networks. In this study, we describe a technique that can further lower the limit of detection of FSCV. By taking advantage of a "waveform steering" technique and by amplifying only the oxidation peak of dopamine to reduce noise fluctuations, we demonstrate the ability to measure dopamine concentrations down to 0.17 nM. Waveform steering is a technique to dynamically alter the input waveform to ensure that the background current remains stable over time. Specifically, the region of the input waveform in the vicinity of the dopamine oxidation potential (∼0.6 V) is kept flat. Thus, amplification of the input waveform will amplify only the Faradaic current, lowering the existing limit of detection for dopamine from 5.48 to 0.17 nM, a 32-fold reduction, and for serotonin, it lowers the limit of detection from 57.3 to 1.46 nM, a 39-fold reduction compared to conventional FSCV. Finally, the applicability of steered FSCV to in vivo dopamine detection was also demonstrated in this study. In conclusion, steered FSCV might be used as a neurochemical monitoring tool for enhancing detection sensitivity.
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Affiliation(s)
- Yumin Kang
- Department
of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Abhinav Goyal
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
- Mayo
Clinic Medical Scientist Training Program, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Sangmun Hwang
- Department
of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Cheonho Park
- Department
of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Hyun U. Cho
- Department
of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Hojin Shin
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Jinsick Park
- Department
of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Kevin E. Bennet
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
- Division
of Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Kendall H. Lee
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
- Department
of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Yoonbae Oh
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
- Department
of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States
- . Phone: 507-293-7992
| | - Dong Pyo Jang
- Department
of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
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11
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Park C, Hwang S, Kang Y, Sim J, Cho HU, Oh Y, Shin H, Kim DH, Blaha CD, Bennet KE, Lee KH, Jang DP. Feasibility of Applying Fourier Transform Electrochemical Impedance Spectroscopy in Fast Cyclic Square Wave Voltammetry for the In Vivo Measurement of Neurotransmitters. Anal Chem 2021; 93:15861-15869. [PMID: 34839667 DOI: 10.1021/acs.analchem.1c02308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
We previously reported on the use of fast cyclic square wave voltammetry (FCSWV) as a new voltammetric technique. Fourier transform electrochemical impedance spectroscopy (FTEIS) has recently been utilized to provide information that enables a detailed analytical description of an electrified interface. In this study, we report on attempts to combine FTEIS with FCSWV (FTEIS-FCSWV) and demonstrate the feasibility of FTEIS-FCSWV in the in vivo detection of neurotransmitters, thus giving a new type of electrochemical impedance information such as biofouling on the electrode surface. From FTEIS-FCSWV, three new equivalent circuit element voltammograms, consisting of charge-transfer resistance (Rct), solution-resistance (Rs), and double-layer capacitance (Cdl) voltammograms were constructed and investigated in the phasic changes in dopamine (DA) concentrations. As a result, all Rct, Rs, and Cdl voltammograms showed different DA redox patterns and linear trends for the DA concentration (R2 > 0.99). Furthermore, the Rct voltammogram in FTEIS-FCSWV showed lower limit of detection (21.6 ± 15.8 nM) than FSCV (35.8 ± 17.4 nM). FTEIS-FCSWV also showed significantly lower prediction errors than FSCV in selectivity evaluations of unknown mixtures of catecholamines. Finally, Cdl from FTEIS-FCSWV showed a significant relationship with fouling effect on the electrode surface by showing decreased DA sensitivity in both flow injection analysis experiment (r = 0.986) and in vivo experiments. Overall, this study demonstrates the feasibility of FTEIS-FCSWV, which could offer a new type of neurochemical spectroscopic information concerning electrochemical monitoring of neurotransmitters in the brain, and the ability to estimate the degree of sensitivity loss caused by biofouling on the electrode surface.
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Affiliation(s)
- Cheonho Park
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Sangmun Hwang
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Yumin Kang
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Jeongeun Sim
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Hyun U Cho
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Yoonbae Oh
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.,Department of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Hojin Shin
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | | | - Charles D Blaha
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Kevin E Bennet
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.,Division of Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Kendall H Lee
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.,Department of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Dong Pyo Jang
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
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12
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Zhao C, Cheung KM, Huang IW, Yang H, Nakatsuka N, Liu W, Cao Y, Man T, Weiss PS, Monbouquette HG, Andrews AM. Implantable aptamer-field-effect transistor neuroprobes for in vivo neurotransmitter monitoring. SCIENCE ADVANCES 2021; 7:eabj7422. [PMID: 34818033 PMCID: PMC8612678 DOI: 10.1126/sciadv.abj7422] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
While tools for monitoring in vivo electrophysiology have been extensively developed, neurochemical recording technologies remain limited. Nevertheless, chemical communication via neurotransmitters plays central roles in brain information processing. We developed implantable aptamer–field-effect transistor (FET) neuroprobes for monitoring neurotransmitters. Neuroprobes were fabricated using high-throughput microelectromechanical system (MEMS) technologies, where 150 probes with shanks of either 150- or 50-μm widths and thicknesses were fabricated on 4-inch Si wafers. Nanoscale FETs with ultrathin (~3 to 4 nm) In2O3 semiconductor films were prepared using sol-gel processing. The In2O3 surfaces were coupled with synthetic oligonucleotide receptors (aptamers) to recognize and to detect the neurotransmitter serotonin. Aptamer-FET neuroprobes enabled femtomolar serotonin detection limits in brain tissue with minimal biofouling. Stimulated serotonin release was detected in vivo. This study opens opportunities for integrated neural activity recordings at high spatiotemporal resolution by combining these aptamer-FET sensors with other types of Si-based implantable probes to advance our understanding of brain function.
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Affiliation(s)
- Chuanzhen Zhao
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Kevin M. Cheung
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - I-Wen Huang
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Hongyan Yang
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Nako Nakatsuka
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Wenfei Liu
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Yan Cao
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Tianxing Man
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Paul S. Weiss
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Harold G. Monbouquette
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Anne M. Andrews
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Corresponding author.
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13
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Movassaghi CS, Perrotta KA, Yang H, Iyer R, Cheng X, Dagher M, Fillol MA, Andrews AM. Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression. Anal Bioanal Chem 2021; 413:6747-6767. [PMID: 34686897 PMCID: PMC8551120 DOI: 10.1007/s00216-021-03665-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 09/11/2021] [Accepted: 09/14/2021] [Indexed: 11/12/2022]
Abstract
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.
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Affiliation(s)
- Cameron S Movassaghi
- Department of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Katie A Perrotta
- Department of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Hongyan Yang
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Rahul Iyer
- Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xinyi Cheng
- Department of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Merel Dagher
- Molecular Toxicology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Miguel Alcañiz Fillol
- Interuniversity Research Institute for Molecular Recognition and Technological Development, Universitat Politècnica de València - Universitat de València, Camino de Vera s/n, 46022, Valencia, Spain.
| | - Anne M Andrews
- Department of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Molecular Toxicology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
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14
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Flexible dopamine-sensing fiber based on potentiometric method for long-term detection in vivo. Sci China Chem 2021. [DOI: 10.1007/s11426-021-1039-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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15
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Low-coherence photonic method of electrochemical processes monitoring. Sci Rep 2021; 11:12600. [PMID: 34131215 PMCID: PMC8206142 DOI: 10.1038/s41598-021-91883-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/02/2021] [Indexed: 11/08/2022] Open
Abstract
We present an advanced multimodality characterization platform for simultaneous optical and electrochemical measurements of ferrocyanides. Specifically, we combined a fiber-optic Fabry–Perot interferometer with a three-electrode electrochemical setup to demonstrate a proof-of-principle of this hybrid characterization approach, and obtained feasibility data in its monitoring of electrochemical reactions in a boron-doped diamond film deposited on a silica substrate. The film plays the dual role of being the working electrode in the electrochemical reaction, as well as affording the reflectivity to enable the optical interferometry measurements. Optical responses during the redox reactions of the electrochemical process are presented. This work proves that simultaneous opto-electrochemical measurements of liquids are possible.
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16
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Kim J, Barath AS, Rusheen AE, Rojas Cabrera JM, Price JB, Shin H, Goyal A, Yuen JW, Jondal DE, Blaha CD, Lee KH, Jang DP, Oh Y. Automatic and Reliable Quantification of Tonic Dopamine Concentrations In Vivo Using a Novel Probabilistic Inference Method. ACS OMEGA 2021; 6:6607-6613. [PMID: 33748573 PMCID: PMC7970470 DOI: 10.1021/acsomega.0c05217] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 02/19/2021] [Indexed: 05/04/2023]
Abstract
Dysregulation of the neurotransmitter dopamine (DA) is implicated in several neuropsychiatric conditions. Multiple-cyclic square-wave voltammetry (MCSWV) is a state-of-the-art technique for measuring tonic DA levels with high sensitivity (<5 nM), selectivity, and spatiotemporal resolution. Currently, however, analysis of MCSWV data requires manual, qualitative adjustments of analysis parameters, which can inadvertently introduce bias. Here, we demonstrate the development of a computational technique using a statistical model for standardized, unbiased analysis of experimental MCSWV data for unbiased quantification of tonic DA. The oxidation current in the MCSWV signal was predicted to follow a lognormal distribution. The DA-related oxidation signal was inferred to be present in the top 5% of this analytical distribution and was used to predict a tonic DA level. The performance of this technique was compared against the previously used peak-based method on paired in vivo and post-calibration in vitro datasets. Analytical inference of DA signals derived from the predicted statistical model enabled high-fidelity conversion of the in vivo current signal to a concentration value via in vitro post-calibration. As a result, this technique demonstrated reliable and improved estimation of tonic DA levels in vivo compared to the conventional manual post-processing technique using the peak current signals. These results show that probabilistic inference-based voltammetry signal processing techniques can standardize the determination of tonic DA concentrations, enabling progress toward the development of MCSWV as a robust research and clinical tool.
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Affiliation(s)
- Jaekyung Kim
- Department
of Neurology, University of California,
San Francisco, San Francisco, California 94158, United States
- Neurology
and Rehabilitation Service, San Francisco
Veterans Affairs Medical Center, San Francisco, California 94158, United States
| | - Abhijeet S. Barath
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Aaron E. Rusheen
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
- Mayo
Clinic Alix School of Medicine, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Juan M. Rojas Cabrera
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - J. Blair Price
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Hojin Shin
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Abhinav Goyal
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
- Mayo
Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Jason W. Yuen
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Danielle E. Jondal
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Charles D. Blaha
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Kendall H. Lee
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
- Department
of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Dong Pyo Jang
- Department
of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Yoonbae Oh
- Department
of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
- Department
of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States
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17
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Tan C, Robbins EM, Wu B, Cui XT. Recent Advances in In Vivo Neurochemical Monitoring. MICROMACHINES 2021; 12:208. [PMID: 33670703 PMCID: PMC7922317 DOI: 10.3390/mi12020208] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/11/2021] [Accepted: 02/14/2021] [Indexed: 12/20/2022]
Abstract
The brain is a complex network that accounts for only 5% of human mass but consumes 20% of our energy. Uncovering the mysteries of the brain's functions in motion, memory, learning, behavior, and mental health remains a hot but challenging topic. Neurochemicals in the brain, such as neurotransmitters, neuromodulators, gliotransmitters, hormones, and metabolism substrates and products, play vital roles in mediating and modulating normal brain function, and their abnormal release or imbalanced concentrations can cause various diseases, such as epilepsy, Alzheimer's disease, and Parkinson's disease. A wide range of techniques have been used to probe the concentrations of neurochemicals under normal, stimulated, diseased, and drug-induced conditions in order to understand the neurochemistry of drug mechanisms and develop diagnostic tools or therapies. Recent advancements in detection methods, device fabrication, and new materials have resulted in the development of neurochemical sensors with improved performance. However, direct in vivo measurements require a robust sensor that is highly sensitive and selective with minimal fouling and reduced inflammatory foreign body responses. Here, we review recent advances in neurochemical sensor development for in vivo studies, with a focus on electrochemical and optical probes. Other alternative methods are also compared. We discuss in detail the in vivo challenges for these methods and provide an outlook for future directions.
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Affiliation(s)
- Chao Tan
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; (C.T.); (E.M.R.); (B.W.)
| | - Elaine M. Robbins
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; (C.T.); (E.M.R.); (B.W.)
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Bingchen Wu
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; (C.T.); (E.M.R.); (B.W.)
- Center for Neural Basis of Cognition, Pittsburgh, PA 15213, USA
| | - Xinyan Tracy Cui
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; (C.T.); (E.M.R.); (B.W.)
- Center for Neural Basis of Cognition, Pittsburgh, PA 15213, USA
- McGowan Institute for Regenerative Medicine, Pittsburgh, PA 15219, USA
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18
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Wosiak G, Coelho D, Carneiro-Neto EB, Pereira EC, Lopes MC. Numerical Resolving of Net Faradaic Current in Fast-Scan Cyclic Voltammetry Considering Induced Charging Currents. Anal Chem 2020; 92:15412-15419. [PMID: 33174737 DOI: 10.1021/acs.analchem.0c03026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
In this paper, we study theoretically and experimentally the effect of induced charging currents on the fast-scan cyclic voltammetry. As explained in this paper, the phenomenon originates from the coupling between faradaic and capacitive currents in the presence of uncompensated resistance. Due to the existence of induced charging currents, the capacitive contribution to the total current is different from the capacitive current measured in the absence of electroactive species. In this paper, we show that this effect is particularly important when the ratio of the capacitive current and the total current is close to unity, even for a relatively low cell time constant. Consequently, the conventional background subtraction method may be inaccurate in these situations. In this work, we develop a method that separates the faradaic and capacitive currents, combining simulation and experimental data. The method is applicable even in the presence of potential-dependent capacitance. The theoretical results are compared with some previously reported results and with experiments carried out on the potassium ferrocyanide/ferricyanide redox couple. Platinum disk electrodes of different diameters and NaClO4 support electrolyte of different concentrations were used to obtain different cell time constants. The proposed method allowed us to separate the real capacitive current even in the situations where the conventional background subtraction used in many published papers is clearly inappropriate.
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Affiliation(s)
- Gabriel Wosiak
- Universidade Estadual do Centro-Oeste, Campus CEDETEG, Al. Élio Antonio Dalla Vechia, 838, Guarapuava 85.040-167, PR, Brazil.,Universidade Federal de São Carlos, Rodovia Washington Luís, s/n, São Carlos 13.565-905, SP, Brazil
| | - Dyovani Coelho
- Universidade Federal de São Carlos, Rodovia Washington Luís, s/n, São Carlos 13.565-905, SP, Brazil
| | - Evaldo B Carneiro-Neto
- Universidade Federal de São Carlos, Rodovia Washington Luís, s/n, São Carlos 13.565-905, SP, Brazil
| | - Ernesto C Pereira
- Universidade Federal de São Carlos, Rodovia Washington Luís, s/n, São Carlos 13.565-905, SP, Brazil
| | - Mauro C Lopes
- Universidade Estadual do Centro-Oeste, Campus CEDETEG, Al. Élio Antonio Dalla Vechia, 838, Guarapuava 85.040-167, PR, Brazil
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19
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Venton BJ, Cao Q. Fundamentals of fast-scan cyclic voltammetry for dopamine detection. Analyst 2020; 145:1158-1168. [PMID: 31922176 DOI: 10.1039/c9an01586h] [Citation(s) in RCA: 138] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Fast-scan cyclic voltammetry (FSCV) is used with carbon-fiber microelectrodes for the real-time detection of neurotransmitters on the subsecond time scale. With FSCV, the potential is ramped up from a holding potential to a switching potential and back, usually at a 400 V s-1 scan rate and a frequency of 10 Hz. The plot of current vs. applied potential, the cyclic voltammogram (CV), has a very different shape for FSCV than for traditional cyclic voltammetry collected at scan rates which are 1000-fold slower. Here, we explore the theory of FSCV, with a focus on dopamine detection. First, we examine the shape of the CVs. Background currents, which are 100-fold higher than faradaic currents, are subtracted out. Peak separation is primarily due to slow electron transfer kinetics, while the symmetrical peak shape is due to exhaustive electrolysis of all the adsorbed neurotransmitters. Second, we explain the origins of the dopamine waveform, and the factors that limit the holding potential (oxygen reduction), switching potential (water oxidation), scan rate (electrode instability), and repetition rate (adsorption). Third, we discuss data analysis, from data visualization with color plots, to the automated algorithms like principal components regression that distinguish dopamine from pH changes. Finally, newer applications are discussed, including optimization of waveforms for analyte selectivity, carbon nanomaterial electrodes that trap dopamine, and basal level measurements that facilitate neurotransmitter measurements on a longer time scale. FSCV theory is complex, but understanding it enables better development of new techniques to monitor neurotransmitters in vivo.
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Affiliation(s)
- B Jill Venton
- Dept. of Chemistry, University of Virginia, PO Box 400319, Charlottesville, VA 22901, USA.
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20
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Rusheen AE, Gee TA, Jang DP, Blaha CD, Bennet KE, Lee KH, Heien ML, Oh Y. Evaluation of electrochemical methods for tonic dopamine detection in vivo. Trends Analyt Chem 2020; 132:116049. [PMID: 33597790 PMCID: PMC7885180 DOI: 10.1016/j.trac.2020.116049] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Dysfunction in dopaminergic neuronal systems underlie a number of neurologic and psychiatric disorders such as Parkinson's disease, drug addiction, and schizophrenia. Dopamine systems communicate via two mechanisms, a fast "phasic" release (sub-second to second) that is related to salient stimuli and a slower "tonic" release (minutes to hours) that regulates receptor tone. Alterations in tonic levels are thought to be more critically important in enabling normal motor, cognitive, and motivational functions, and dysregulation in tonic dopamine levels are associated with neuropsychiatric disorders. Therefore, development of neurochemical recording techniques that enable rapid, selective, and quantitative measurements of changes in tonic extracellular levels are essential in determining the role of dopamine in both normal and disease states. Here, we review state-of-the-art advanced analytical techniques for in vivo detection of tonic levels, with special focus on electrochemical techniques for detection in humans.
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Affiliation(s)
- Aaron E. Rusheen
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, United States
- Medical Scientist Training Program, Mayo Clinic, Rochester, MN, 55905, United States
| | - Taylor A. Gee
- Department of Chemistry and Biochemistry, University of Arizona, Tucson, AZ, 85721, United States
| | - Dong P. Jang
- Department of Biomedical Engineering, Hanyang University, Seoul, 04763, Republic of Korea
| | - Charles D. Blaha
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, United States
| | - Kevin E. Bennet
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, United States
- Division of Engineering, Mayo Clinic, Rochester, MN, 55905, United States
| | - Kendall H. Lee
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, United States
- Department of Biomedical Engineering, Mayo Clinic, Rochester, MN, 55905, United States
| | - Michael L. Heien
- Department of Chemistry and Biochemistry, University of Arizona, Tucson, AZ, 85721, United States
| | - Yoonbae Oh
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, United States
- Department of Biomedical Engineering, Mayo Clinic, Rochester, MN, 55905, United States
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21
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Electrode mechanisms with coupled chemical reaction — Amplitude effect in square-wave voltammetry. J Electroanal Chem (Lausanne) 2020. [DOI: 10.1016/j.jelechem.2020.114186] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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22
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Ghazavi A, Maeng J, Black M, Salvi S, Cogan SF. Electrochemical characteristics of ultramicro-dimensioned SIROF electrodes for neural stimulation and recording. J Neural Eng 2020; 17:016022. [PMID: 31665712 DOI: 10.1088/1741-2552/ab52ab] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
OBJECTIVE With ever increasing applications of neural recording and stimulation, the necessity for developing neural interfaces with higher selectivity and lower invasiveness is inevitable. Reducing the electrode size is one approach to achieving such goals. In this study, we investigated the effect of electrode geometric surface area (GSA), from 20 μm2 to 1960 μm2, on the electrochemical impedance and charge-injection properties of sputtered iridium oxide (SIROF) coated electrodes in response to current-pulsing typical of neural stimulation. These data were used to assess the electrochemical properties of ultra-small SIROF electrodes (GSA < 200 μm2) for stimulation and recording applications. APPROACH SIROF charge storage capacities (CSC), impedance, and charge-injection characteristics during current-pulsing of planar, circular electrodes were evaluated in an inorganic model of interstitial fluid (model-ISF). MAIN RESULTS SIROF electrodes as small as 20 μm2 could provide 1.3 nC/phase (200 μs pulse width, 0.6 V versus Ag|AgCl interpulse bias) of charge during current pulsing. The 1 kHz impedance of all electrodes used in this study were below 1 MΩ, which is suitable for neural recording. SIGNIFICANCE Ultra-small SIROF electrodes are capable of charge injection in buffered saline at levels above some reported thresholds for neural stimulation with microelectrodes.
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Affiliation(s)
- A Ghazavi
- Department of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States of America
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23
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Su Y, Bian S, Sawan M. Real-time in vivo detection techniques for neurotransmitters: a review. Analyst 2020; 145:6193-6210. [DOI: 10.1039/d0an01175d] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Functional synapses in the central nervous system depend on a chemical signal exchange process that involves neurotransmitter delivery between neurons and receptor cells in the neuro system.
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Affiliation(s)
- Yi Su
- Zhejiang university
- Hangzhou, 310058
- China
- CENBRAIN Lab
- School of Engineering
| | - Sumin Bian
- CENBRAIN Lab
- School of Engineering
- Westlake University
- Hangzhou
- China
| | - Mohamad Sawan
- CENBRAIN Lab
- School of Engineering
- Westlake University
- Hangzhou
- China
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24
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Shin H, Oh Y, Park C, Kang Y, Cho HU, Blaha CD, Bennet KE, Heien ML, Kim IY, Lee KH, Jang DP. Sensitive and Selective Measurement of Serotonin in Vivo Using Fast Cyclic Square-Wave Voltammetry. Anal Chem 2019; 92:774-781. [PMID: 31789495 DOI: 10.1021/acs.analchem.9b03164] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Although N-shaped fast scan cyclic voltammetry (N-FSCV) is well-established as an electroanalytical method to measure extracellular serotonin concentrations in vivo, it is in need of improvement in both sensitivity and selectivity. Based on our previous studies using fast cyclic square-wave voltammetry (FCSWV) for in vivo dopamine measurements, we have modified this technique to optimize the detection of serotonin in vivo. A series of large amplitude square-shaped potentials was superimposed onto an N-shaped waveform to provide cycling through multiple redox reactions within the N-shaped waveform to enhance the sensitivity and selectivity to serotonin measurement when combined with a two-dimensional voltammogram. N-Shaped fast cyclic square-wave voltammetry (N-FCSWV) showed significantly higher sensitivity to serotonin compared to conventional N-FSCV. In addition, N-FCSWV showed better performance than conventional N-shaped FSCV in differentiating serotonin from its major interferents, dopamine and 5-hydroxyindoleascetic acid (5-HIAA). It was also confirmed that the large amplitude of the square waveform did not influence local neuronal activity, and it could monitor electrical stimulation evoked phasic release of serotonin in the rat substantia nigra pars reticulata (SNr) before and after systemic injection of escitalopram (ESCIT, 10 mg/kg i.p.), a serotonin selective reuptake inhibitor.
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Affiliation(s)
- Hojin Shin
- Department of Biomedical Engineering , Hanyang University , Seoul 04763 , Republic of Korea
| | - Yoonbae Oh
- Department of Neurologic Surgery , Mayo Clinic , Rochester , Minnesota 55905 , United States
| | - Cheonho Park
- Department of Biomedical Engineering , Hanyang University , Seoul 04763 , Republic of Korea
| | - Yumin Kang
- Department of Biomedical Engineering , Hanyang University , Seoul 04763 , Republic of Korea
| | - Hyun U Cho
- Department of Biomedical Engineering , Hanyang University , Seoul 04763 , Republic of Korea
| | - Charles D Blaha
- Department of Neurologic Surgery , Mayo Clinic , Rochester , Minnesota 55905 , United States
| | - Kevin E Bennet
- Department of Neurologic Surgery , Mayo Clinic , Rochester , Minnesota 55905 , United States.,Division of Engineering , Mayo Clinic , Rochester , Minnesota 55905 , United States
| | - Michael L Heien
- Department of Chemistry and Biochemistry , University of Arizona , Tucson , Arizona 85721 , United States
| | - In Young Kim
- Department of Biomedical Engineering , Hanyang University , Seoul 04763 , Republic of Korea
| | - Kendall H Lee
- Department of Neurologic Surgery , Mayo Clinic , Rochester , Minnesota 55905 , United States.,Department of Physiology and Biomedical Engineering , Mayo Clinic , Rochester , Minnesota 55905 , United States
| | - Dong Pyo Jang
- Department of Biomedical Engineering , Hanyang University , Seoul 04763 , Republic of Korea
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25
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Adams SD, Doeven EH, Tye SJ, Bennet KE, Berk M, Kouzani AZ. TinyFSCV: FSCV for the Masses. IEEE Trans Neural Syst Rehabil Eng 2019; 28:133-142. [PMID: 31794399 DOI: 10.1109/tnsre.2019.2956479] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The ability to monitor neurochemical dynamics in target brain regions with a high degree of temporal resolution has assisted researchers in investigating the pathogenesis, and pathophysiology of a variety of neurological and psychiatric disorders. Current systems for neurochemical monitoring are bulky or expensive, limiting widespread exploration of this research field and preventing large-scale parallel experimentation. In this paper, we present a new miniaturized research platform, the TinyFSCV system, which can be used to monitor dynamic changes in neurochemicals through Fast-Scan Cyclic Voltammetry (FSCV). This system contains a precision voltage output circuit that can accurately output potentials between -0.55 to 2 V and scan a connected electrochemical cell at up to 400 V/s, the required speed to sense most neurochemicals with FSCV. In addition, the device includes precision current measurement circuity with a measurement range of -115 to [Formula: see text] capable of taking measurements at up to 56 KS/s. Four experiments are conducted to demonstrate the capability of the system. These consisted of: static bench tests, static ferrocene tests, and static and dynamic dopamine tests. These experiments demonstrate the ability of the miniaturized platform to accurately sense and measure neurochemicals. Ultimately, the TinyFSCV system is a platform that can enable large-scale, low-cost parallel experimentation to take place in the field of neurochemical monitoring. In addition, this device will increase the accessibility of neurochemical sensing, providing advanced tools and techniques to more researchers, and facilitating widespread exploration of the field of neurodynamics.
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26
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Mirceski V, Guziejewski D, Stojanov L, Gulaboski R. Differential Square-Wave Voltammetry. Anal Chem 2019; 91:14904-14910. [DOI: 10.1021/acs.analchem.9b03035] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Valentin Mirceski
- Institute of Chemistry, Faculty of Natural Sciences and Mathematics, Saints Cyril and Methodius University of Skopje, P. O. Box 162, 1000 Skopje, Republic of North Macedonia
- Department of Inorganic and Analytical Chemistry, University of Lodz, Tamka 12, 91-403 Lodz, Poland
| | - Dariusz Guziejewski
- Department of Inorganic and Analytical Chemistry, University of Lodz, Tamka 12, 91-403 Lodz, Poland
| | - Leon Stojanov
- Institute of Chemistry, Faculty of Natural Sciences and Mathematics, Saints Cyril and Methodius University of Skopje, P. O. Box 162, 1000 Skopje, Republic of North Macedonia
| | - Rubin Gulaboski
- Faculty of Medical Sciences, Goce Delcev University, 2000 Stip, Republic of North Macedonia
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