innovative approaches and novel materials for resolving ...innovative approaches and novel materials...

1
Innovative Approaches and Novel Materials for Resolving Neurochemical Events in Real-Time Using Fast-Scan Cyclic Voltammetry Andreas C. Schmidt and Leslie A. Sombers , Department of Chemistry Collaborations with the Department of Biomedical Engineering and Materials Science Engineering, North Carolina State University Carbon-fiber ultramicroelectrodes are the preferred sensing substrate for the real-time detection of in vivo neurotransmitter release using fast-scan cyclic voltammetry. The application of this technology to dopaminergic studies of neurological disease states has significantly advanced our understanding of molecular mechanisms underlying these problems; however, far less work has been done to significantly advance the detection capabilities of the technique itself over recent years. This research sought to broaden the abilities of fast-scan cyclic voltammetry through the usage of innovative new materials, such as microelectrodes made purely of carbon nanotube yarns, as well as through the development of analyte specific waveforms that allow for a reliable detection of difficult to detect neuropeptergic fluctuations in real-time. This work has improved the sensitivity, selectivity, reproducibility and reliability of fast-scan cyclic voltammetry and has been successfully tested in living brain tissue. http://www.yamato-net.co.jp/english/products/bio/mapanalyzer.htm Modified Sawhorse Wavefrom advantages: Able to selectively distinguish mENK in complex mixtures containing common in-vivo interferents Significantly reduces fouling - more reproducible results Decreases the current contributed by interferents Increases the current from analyte of interest Increases the separation of peak potentials, facilitating analyte identification CNTy-D offer higher senesitivity and selectivity Customizable size offers a variety of future approaches Superior electrode material to traditionally used fibers The combination of these approaches provide a foundation for studying a variety of tyrosine- containing peptides, previously impossible to reproducibly detect using an electroanalytical approach in living tissue -0.4 1.3 Potential (V) Current (nA) -0.4 1.3 Potential (V) Current (nA) -0.4V +1.3V -0.4V Time ( 20sec) - nA 0nA + nA -0.4 1.3 Potential (V) Current (nA) Sample Loop Buffered Electrolyte Waste Injection Port Waste Electrochemical Cell Working Electrode Reference Electrode 6-Port HPLC Valve Bipotentiostat or Universal Electrochemical Instrument -0.4 V 1.3 V -1250 nA 1250 nA -0.4 V 1.3 V -1250 nA 1250 nA -20 nA 20 nA -0.4 V 1.3 V 400 V/s -0.4 V 1.3 V 100 msec 8.5 msec NH 3 + O H O H Dopamine (DA) NH 3 + O O Dopamine-o-quinione -2 e - +2 e - -0.2 V 1.2 V 0.6 V 0.0 Modified Sawhorse Waveform (MSW) 3 msec 26.5 msec Holding Potential: -0.2V Peak Potential: +1.2V Period: 26.5 msec Applied Frequency: 10Hz -0.2V -0.2V +0.6 +1.2 0s 20s 0nA 12nA -8nA -0.2 1.2 -10 10 20 30 40 Potential (V) Current (nA) -0.2 1.2 -10 10 20 30 40 Potential (V) Current (nA) -0.2V -0.2V 0s 20s +1.2V 0nA 12nA -8nA Holding Potential: -0.2V Peak Potential: +1.2V Period: 7.0 msec Applied Frequency: 10Hz • Broad peaks • Evidence of electrode fouling (extended signal) (*); causes reproducibility problems -0.2 V 1.2 V 0.6 V 0.0 7.0 msec Conventional Triangular Waveform (TW) Carbon-Fiber Microelectrode (CFME) 300μM length; 7μM diameter Mixture of Common Interferents • The peak from dopamine (above) dominates • All other interferents contribute more current • Cannot distinguish mENK peak(s) • Single peak • No current detected at potentials below our analyte’s oxidation • Defined peaks • No evidence of fouling * • Dopamine (above) signal is minimized • Improved peak resolution from intereferents • Easy to pick out mENK peak for analysis -0.2 1.2 -10 10 20 30 40 Potential (V) Current (nA) 500nM mENK • Many peaks in CV • Current contribution throughout entire potential range -0.2 1.2 -5 5 10 15 Potential (V) Current (nA) Colorplot of mENK 1μM mENK -0.2 1.2 -5 5 10 15 Potential (V) Current (nA) Colorplot of mENK -0.2 1.2 -5 5 10 15 Potential (V) Current (nA) Background current Background + analyte current Analyte only current (background subtracted) * * * * * * 1 μM dopamine 10 μM ascorbic acid +0.1 pH shiſt 500nM mENK 1 μM dopamine 10 μM ascorbic acid +0.1 pH shiſt A. -0.2 1.2 -4 4 8 12 Potential (V) Current (nA) -0.2 1.2 -4 4 8 12 16 Potential (V) Current (nA) -0.2 1.2 -4 4 8 12 Potential (V) Current (nA) Predicted vs. Actual Concentration of mENK in complex mixture 250 500 750 1000 250 500 750 1000 Actual Concentration (nM) Predicted Concentration (nM) 750nM mENK mixed with common interferents: A. 500 nM Dopamine B. 10 μM Ascrobic Acid C. +0.1 pH shift Using Principal Component Regression (PCR), mENK was accurately quantified in a complex mixture of varying concentrations of the interferents B. C. 500nM mENK / 30s between inj. 2 4 6 8 10 0.90 0.95 1.00 1.05 MSW TW *** Injection # Normalized Current Linear Calibration Plot 0 250 500 750 1000 0 3 6 9 12 15 Conc (nM) Current (nA) Reproducible measurements are only possible with the MSW waveform. Linear calibration plot shows sensitivity of 13nA/1μM Cyclic Voltammogram (CV) -0.4 NH 3 + O H O H Dopamine (DA) NH 3 + O O Dopamine-o-quinione -2 e - +2 e - linear voltammogram y-axis: potential (V) x-axis: time (sec) z-axis: current (nA) aligned with time Chemical Selectivity (MSW) Right: Voltammograms for several analytes commonly encountered in brain tissue. 1μM mENK Mixture of Common Interferents 1 μM dopamine only 1 μM dopamine only Reproducibility and Sensitivity (MSW) 0 0 400V/s 800V/s 25nA 50nA 100V/s r 2 = 0.999 1000nM 750nM 500nM 250nM -0.4V 1.3V -20nA 25nA 100V/s 200V/s 400V/s 800V/s -0.4V 1.3V -35nA 20nA 45nA 0 10 20 30 40 CNTy-D Conventional carbon-fiber 500nM *** 1000nM pA/ µ m 2 B A C D 10 μm 2 μm A B C 25 μm -0.4V -0.4V 0s 30s +1.3V 0nA 9nA -7nA 0 0 -1nA 10nA 30sec 5sec 100nM A B -1 1 -0.4V 1.4V -1 1 -0.4V 1.4V -1 1 -0.4V 1.4V -1 1 -0.4V 1.4V -1 1 -0.4V 1.4V -0.4V 1 -1 1.4V -1 1 -0.4V 1.4V -1 1 -0.4V 1.4V -0.4V 1.4V -1 1 -1 1 -0.4V 1.4V -1 1 -0.4V 1.4V -1 1 -0.4V 1.4V CNTy-D Convenonal CNTy-D Convenonal Dopamine Dopamine H 2 O 2 Adenosine Adenosine H 2 O 2 Serotonin Serotonin Ascorbic Acid Ascorbic Acid DOPAC DOPAC DA (1) HPO (100) Adenosine (2) Serotonin (1) Ascorbic Acid (200) DOPAC (30) 0 50pA/µ m 2 Current Density: Other Analytes 25pA/µ m 2 n.s. *** *** * * * ** ** ** HPO (100) Adenosine (2) Serotonin (1) Ascorbic Acid (200) DOPAC (30) 0.0 0.2 0.4 0.6 0.8 1.0 CNTy-D Conventional carbon-fiber Correlation Coeff. vs. Dopamine Correlation Factor (r 2) A B 1 µ M M-ENK at CNTy-D - 0 . 2 1 . 2 -1 5 Potential (V) Current (nA) 1 µ M M-ENK CNTy-D CFME 0 10 20 30 40 50 Current Density (na/ µ m 2 ) Left: CV of M-ENK detection combining the MSW and CNTy-D Right: CNTy-D electrodes are more sensitive than carbon-fiber microelectrodes (CFME) for M-ENK detection. Opioid Peptides exist at very low concentrations, fluctuate rapidly, oxidize at higher potentials than interferents such as dopamine, and foul the electrode surface upon oxidation making electrochemical measurements difficult and irreproducible. Research Goals: 1. Create a custom waveform that cleans the electrode surface, increases selectivity, and reduces the contribution from other analytes. 2. Use Carbon nanotubes to create an electrode that is more sensitive and selective than traditional carbon fibers. Research Challenge Interpreting the Data with Colorplots Electroanalytical Technique Introduction Analytical Equipment How does an Analyte-Specific Waveform Compare to a Conventional Waveform? Carbon Nanotube Yarn - Disk (CNTy-D) Electrodes Performance Assessment Combining the New Technologies Acknowledgements Dr. McCarty (BME) Dr. Roberts (Chemistry) Lars Dunaway (Chemistry) Dr. Zhu, Dr. Wang (MSE) - CNT yarn Chuck Mooney (AIF) - Imaging Conclusions NIH R01-NS076772 to LAS NSF CAREER CHE7151264 Schmidt, A. C. et al. ACS Nano. 2 0 1 3 , 7 (9), 7864-7873 Schmidt, A. C. et al. ACS Nano. 2 0 1 3 , 7 (9), 7864-7873 3-D colorplot Middle: (A) Representative voltammograms for physiological DA concentrations. (B) Calibration curve. (C) Anodic current increases linearly with scan rate when detecting 1μM dopamine using CNTy-D electrodes. (D) Voltammograms collected at scan rates ranging from 100 - 800 V/s. Left: Scanning electron micrographs of a CNTy-D electrodes. (A) Spun MWNTs from a continuous yarn. (B) A single CNTy-D electrode. (C) Detailed image of CNT surface and glass seal of the CNTy-D electrode. Top: (A) CNTy-D electrodes are more capable of separating various analytes due to sharper peaks. (B) CNTy-D electrodes are also more sensitive for the detection of a variety of other analytes. Bottom: Results collected in living brain tissue. (A) Current over time at the oxidation potential of dopamine (inset is the collected dopamine CV). (B) Colorplot of in tissue electrical stimulation result.

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  • Innovative Approaches and Novel Materials for Resolving NeurochemicalEvents in Real-Time Using Fast-Scan Cyclic Voltammetry

    Andreas C. Schmidt and Leslie A. Sombers, Department of ChemistryCollaborations with the Department of Biomedical Engineering and Materials Science Engineering, North Carolina State University

    Carbon-fiber ultramicroelectrodes are the preferred sensing substrate for thereal-time detection of in vivo neurotransmitter release using fast-scan cyclic voltammetry. The application of this technology to dopaminergic studies of neurological disease states has significantly advanced our understanding of molecular mechanisms underlying these problems; however, far less work has been done to significantly advance the detection capabilities of the technique itself over recent years. This research sought to broaden the abilities of fast-scan cyclic voltammetry through the usage of innovative new materials, such as microelectrodes made purely of carbon nanotube yarns, as well as through the development of analyte specific waveforms that allow for a reliable detection of difficult to detect neuropeptergic fluctuations in real-time. This work has improved the sensitivity, selectivity, reproducibility and reliability of fast-scan cyclic voltammetry and has been successfully tested in living brain tissue.

    http://www.yamato-net.co.jp/english/products/bio/mapanalyzer.htm

    Modified Sawhorse Wavefrom advantages: Able to selectively distinguish mENK in complex mixtures containing common in-vivo interferents Significantly reduces fouling - more reproducible results Decreases the current contributed by interferents Increases the current from analyte of interest Increases the separation of peak potentials, facilitating analyte identification CNTy-D offer higher senesitivity and selectivity Customizable size offers a variety of future approaches Superior electrode material to traditionally used fibers The combination of these approaches provide a foundation for studying a variety of tyrosine- containing peptides, previously impossible to reproducibly detect using an electroanalytical approach in living tissue

    -0.4 1.3 Potential (V)

    Cur

    rent

    (nA)

    -0.4 1.3 3.0Potential (V)

    C

    urre

    nt (n

    A)

    -0.4V

    +1.3V

    -0.4V Time ( 20sec)

    - nA0nA

    + nA

    -0.4 1.3 Potential (V)

    Cur

    rent

    (nA)

    Sample Loop

    BufferedElectrolyte

    Waste

    Injection Port

    Waste

    ElectrochemicalCell

    Working Electrode

    ReferenceElectrode

    6-PortHPLC Valve

    Bipotentiostator

    Universal Electrochemical

    Instrument

    -0.4 V 1.3 V

    -1250 nA

    1250 nA

    -0.4 V 1.3 V

    -1250 nA

    1250 nA

    -20 nA

    20 nA

    -0.4 V 1.3 V

    400 V/s

    -0.4 V

    1.3 V

    100 msec8.5 msec

    NH3+

    OH

    OHDopamine (DA)

    NH3+

    O

    ODopamine-o-quinione

    -2 e-

    +2 e-

    -0.2 V

    1.2 V

    0.6 V

    0.0

    Modified Sawhorse Waveform (MSW)3 msec

    26.5 msec

    •Holding Potential: -0.2V•Peak Potential: +1.2V•Period: 26.5 msec

    •Applied Frequency: 10Hz

    -0.2V

    -0.2V

    +0.6+1.2

    0s 20s

    0nA

    12nA

    -8nA

    -0.2 1.2-10

    10

    20

    30

    40

    Potential (V)

    Cur

    rent

    (nA)

    -0.2 1.2-10

    10

    20

    30

    40

    Potential (V)

    Cur

    rent

    (nA)

    -0.2V

    -0.2V0s 20s

    +1.2V

    0nA

    12nA

    -8nA

    •Holding Potential: -0.2V•Peak Potential: +1.2V•Period: 7.0 msec

    •Applied Frequency: 10Hz

    • Broad peaks• Evidence of electrode fouling (extended signal) (*); causes reproducibility problems

    -0.2 V

    1.2 V

    0.6 V

    0.0

    7.0 msec

    Conventional Triangular Waveform (TW)

    Carbon-Fiber Microelectrode (CFME)300μM length; 7μM diameter

    Mixture of Common Interferents

    • The peak from dopamine (above) dominates• All other interferents contribute more current• Cannot distinguish mENK peak(s)

    • Single peak• No current detected at potentials below our analyte’s oxidation

    • Defined peaks• No evidence of fouling

    *

    • Dopamine (above) signal is minimized• Improved peak resolution from intereferents• Easy to pick out mENK peak for analysis

    -0.2 1.2-10

    10

    20

    30

    40

    Potential (V)

    Cur

    rent

    (nA)

    500nM mENK

    • Many peaks in CV• Current contribution throughout entire potential range

    -0.2 1.2

    -5

    5

    10

    15

    Potential (V)

    C

    urre

    nt (n

    A)

    Colorplot of mENK 1µM mENK

    -0.2 1.2

    -5

    5

    10

    15

    Potential (V)

    C

    urre

    nt (n

    A)

    Colorplot of mENK

    -0.2 1.2

    -5

    5

    10

    15

    Potential (V)

    C

    urre

    nt (n

    A)Background current Background + analyte current Analyte only current(background subtracted)

    * * ** * *

    1 μM dopamine10 μM ascorbic acid+0.1 pH shift

    500nM mENK1 μM dopamine10 μM ascorbic acid+0.1 pH shift

    A.

    -0.2 1.2

    -4

    4

    8

    12

    Potential (V)

    C

    urre

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    A)

    -0.2 1.2-4

    4

    8

    12

    16

    Potential (V)

    C

    urre

    nt (n

    A)

    -0.2 1.2

    -4

    4

    8

    12

    Potential (V)

    Cur

    rent

    (nA

    )

    Predicted vs. Actual Concentrationof mENK in complex mixture

    250 500 750 1000250

    500

    750

    1000

    Actual Concentration (nM)

    Pre

    dict

    ed C

    once

    ntra

    tion

    (nM

    )

    750nM mENK mixed withcommon interferents: A. 500 nM Dopamine B. 10 μM Ascrobic Acid C. +0.1 pH shift

    Using Principal ComponentRegression (PCR), mENKwas accurately quantifiedin a complex mixture ofvarying concentrations of the interferents

    B.

    C.

    500nM mENK / 30s between inj.

    2 4 6 8 10

    0.90

    0.95

    1.00

    1.05

    MSWTW

    ***

    Injection #No

    rmal

    ized

    Cur

    rent

    Linear Calibration Plot

    0 250 500 750 10000

    3

    6

    9

    12

    15

    Conc (nM)

    Cur

    rent

    (nA)

    Reproducible measurements are onlypossible with the MSW waveform.

    Linear calibration plot showssensitivity of 13nA/1μM

    Cyclic Voltammogram (CV)

    -0.4

    NH3+

    OH

    OHDopamine (DA)

    NH3+

    O

    ODopamine-o-quinione

    -2 e-

    +2 e-

    linear voltammogram

    y-axis: potential (V)x-axis: time (sec)z-axis: current (nA)aligned with time

    Chemical Selectivity (MSW)

    Right: Voltammograms for several analytes commonly encountered in brain tissue.

    1µM mENK

    Mixture of Common Interferents1 μM dopamine only 1 μM dopamine only

    Reproducibility and Sensitivity (MSW)

    00

    400V/s 800V/s

    25nA

    50nA

    100V/s

    r2 = 0.999

    1000nM750nM500nM250nM

    -0.4V 1.3V

    -20nA

    25nA

    100V/s200V/s400V/s800V/s

    -0.4V 1.3V

    -35nA

    20nA

    45nA

    0

    10

    20

    30

    40

    CNTy-DConventional carbon-fiber

    500nM

    ***

    1000nM

    pA/ µ

    m2

    BA

    C D

    10 µm 2 µm

    A B C

    25 µm

    -0.4V

    -0.4V0s 30s

    +1.3V

    0nA

    9nA

    -7nA

    0

    0-1nA

    10nA

    30sec5sec

    100nM

    A B

    -1

    1

    -0.4V 1.4V

    -1

    1

    -0.4V 1.4V

    -1

    1

    -0.4V 1.4V

    -1

    1

    -0.4V 1.4V

    -1

    1

    -0.4V 1.4V

    -0.4V

    1

    -1

    1.4V

    -1

    1

    -0.4V 1.4V

    -1

    1

    -0.4V 1.4V

    -0.4V 1.4V

    -1

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    -1

    1

    -0.4V 1.4V

    -1

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    -0.4V 1.4V

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    -0.4V 1.4V

    CNTy

    -DCo

    nven

    tiona

    lCN

    Ty-D

    Conv

    entio

    nal

    Dopamine

    Dopamine

    H2O2 Adenosine

    AdenosineH2O2

    Serotonin

    Serotonin

    Ascorbic Acid

    Ascorbic Acid

    DOPAC

    DOPAC

    DA (1

    )

    HPO

    (100)

    Aden

    osine

    (2)

    Serot

    onin

    (1)

    Asco

    rbic A

    cid (2

    00)

    DOPA

    C (30

    )0

    50pA/µm2 Current Density:Other Analytes

    25pA/µm2

    n.s.*** *** * *

    *******

    HPO

    (100)

    Aden

    osine

    (2)

    Serot

    onin

    (1)

    Asco

    rbic A

    cid (2

    00)

    DOPA

    C (30

    )0.0

    0.2

    0.4

    0.6

    0.8

    1.0

    CNTy-DConventionalcarbon-fiber

    Correlation Coeff.vs. Dopamine

    Cor

    rela

    tion

    Fact

    or (r

    2)

    A B

    1 µM M-ENK at CNTy-D

    - 0 . 2 1 . 2

    -1

    5

    Potential (V)

    C

    urre

    nt (n

    A)

    1 µM M-ENK

    CNTy

    -DCF

    ME0

    10

    20

    30

    40

    50

    Cur

    rent

    Den

    sity

    (na/µ

    m2 )

    Left: CV of M-ENK detection combining the MSW and CNTy-D

    Right: CNTy-D electrodes are more sensitive than carbon-fiber microelectrodes (CFME) for M-ENK detection.

    Opioid Peptides exist at very low concentrations, �uctuate rapidly, oxidizeat higher potentials than interferents such as dopamine, and foul the electrode surface upon oxidation making electrochemical measurementsdi�cult and irreproducible.

    Research Goals: 1. Create a custom waveform that cleans the electrode surface, increases selectivity, and reduces the contribution from other analytes. 2. Use Carbon nanotubes to create an electrode that is more sensitive and selective than traditional carbon �bers.

    Research Challenge

    Interpreting the Data with Colorplots

    Electroanalytical Technique

    Introduction

    Analytical Equipment

    How does an Analyte-Specific Waveform Compare to a Conventional Waveform?

    Carbon Nanotube Yarn - Disk (CNTy-D) Electrodes

    Performance Assessment

    Combining the New Technologies

    AcknowledgementsDr. McCarty (BME)Dr. Roberts (Chemistry)Lars Dunaway (Chemistry)Dr. Zhu, Dr. Wang (MSE) - CNT yarnChuck Mooney (AIF) - Imaging

    Conclusions

    NIH R01-NS076772 to LASNSF CAREER CHE7151264

    Schmidt, A. C. et al. ACS Nano. 2013, 7 (9), 7864-7873

    Schmidt, A. C. et al. ACS Nano. 2013, 7 (9), 7864-7873

    3-D colorplot

    Middle: (A) Representative voltammograms for physiological DA concentrations. (B) Calibration curve. (C) Anodic current increases linearly with scan rate when detecting 1µM dopamine using CNTy-D electrodes. (D) Voltammograms collected at scan rates ranging from 100 - 800 V/s.

    Left: Scanning electron micrographs of a CNTy-D electrodes. (A) Spun MWNTs from a continuous yarn. (B) A single CNTy-D electrode. (C) Detailed image of CNT surface and glass seal of the CNTy-D electrode.

    Top: (A) CNTy-D electrodes are more capable of separating various analytes due to sharper peaks. (B) CNTy-D electrodes are also more sensitive for the detection of a variety of other analytes.

    Bottom: Results collected in living brain tissue. (A) Current over time at the oxidation potential of dopamine (inset is the collected dopamine CV). (B) Colorplot of in tissue electrical stimulation result.