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 Metrohm Autolab Instruments for Electrochemical Impedance Spectroscopy

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8/9/2019 SIBEE - Presentation Impedance 2013 Seminar

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Metrohm AutolabInstruments for Electrochemical Impedance Spectroscopy

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Outline

• The Autolab instrument• Cell connections and configurations• Basics of EIS

• Practical EIS• Data analysis• Applications

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The Instrument

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Instrumentation requirementsfor EIS

• PGSTAT• Impedance analyzer• Software for data acquisition and

analysis

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The instrument

Analog PGSTAT with USBconnection to Windows software

FRA32M impedance analyzer module with1 MHz – 10 µHz range with PGSTAT

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FRA32M Module

• Module for electrochemical impedancespectroscopy• 32 MHz to 10 µHz• 1 MHz to 10 μHz in combination

with the PGSTAT• DC range: up to 10 V

• Single sine and multi-sine

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FRA32M

• New impedance analyzer module• Replaces the FRA2• Works with Autolab PGSTAT series

• Not available for µAutolabIII

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FRA32M

• 32M stands for 32 MHz• !! MAXIMUM Frequency with

PGSTAT: 1 MHz !!• Future developments to raise the limit

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FRA32M

• Direct DSG output

20 MHz 32 MHz

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What happens above 1 MHz

• PGSTAT128N/FRA32M, 500 mV (top)Sharp decrease @ 700kHz

~80% attenuation @ 1 MHz

~99.9 % attenuation @ 10 MHz

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FRA32M

• Uses on-board DSP• Crunches 1 M per channel down to

4096 points• And finally down to 1• Much faster than FRA2• No filtering

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FRA2 vs FRA32M

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FRA2 vs FRA32M

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FRA32M: wrapping up

• Very advanced module• Expected product lifetime 10+ years• All procedures are compatible!

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The instrument

Analog PGSTAT with USBconnection to Windows software

FRA2 impedance analyzer modulewith 1 MHz – 10 µHz range

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FRA2 module specifications

• Frequency range from 1 MHz to 10 µHz• Applied Frequency Resolution of 0.003%• AC amplitude: 0.2mV to 0.35 V (RMS)• Input range of 10 V

• Max. frequency limited by PGSTAT

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Instrumental limitations

• Contour plot

Not possible to measureZ accurately at anyfrequency

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Cell connections

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Cell connections

• Autolab potentiostat / Galvanostat

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Cell connections

• PGSTAT provides 4connections

• CE and WE (currentmeasurement)

• RE and S (voltagemeasurement)

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Cell connections (2 electrodes)

2 electrode configuration precise control of theinterfacial potential is not critical

This configuration is often used in the characterizationof energy storage and energy conversion devices

Impedance measured between RE and S

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Cell connections (3 electrodes)

3 electrode configuration most common for typicalelectrochemical measurements

The RE in close proximity of WE to control the interfacialpotential accurately

Impedance measured between RE and S

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Cell connections (4 electrodes)

4 electrode configuration is used to study theliquid/liquid interface (two non-miscible electrolytes ortwo electrolytes separated by a membrane)

Impedance measured between RE and S

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Electrochemical cellWE/S

RECE

Electrochemical

interface

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Electrochemical interface• Interface

+ ++

+++

+

+

Electrode

e -

IHP OHP Diffusion layer1- 100 μm

Potential

IHP Inner Helmoltz plane: ion adsorbed onto metal surface

OHP Outer Helholtz plane: closest ions free to move within the electrolyte

Bulk Solution

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Equivalent circuit

• Electrochemical interface model

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Equivalent circuit

• Uncompensated resistance, Ru• Solution between RE and WE

• Concentration, cell setup, Temperature,conductivity, type of ions, mass transport,…

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Equivalent circuit

• Typical values:• up to 100 Ω (aqueous solution)

KCl 0.1 mol/L 20°C = 85.69 Ω • up to 10 k Ω (organic solvent)• Between 1m Ω to 1 Ω Batteries

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Equivalent circuit

• Double layer capacitance, Cdl• Diffuse interfacial capacitance

• Concentration, ions, electrode surface,adsorbed species, …

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Equivalent circuit

• Typical values:• Double layer bare metal 10-50 µF/cm 2

• Fe 2 O3 - Ni 2 O5 2 µF/cm2

• Al2O3 0.5 µF/cm 2 • Epoxy cast coating 6 pF/cm 2

• Asphalt coating 0.5 pF/cm 2Bernard Tribollet & Mark E. Orazem: Electrochemical Impedance Spectroscopy, Wiley-Interscience, 2008

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Equivalent circuit

• Charge transfer resistance, Rct• Polarization resistance

• Electron transfer kinetics, Temperature,electrode composition, morphology, …

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Equivalent circuit

• Typical values: whole measurable range( m Ω very fast kinetics up to G Ω slow

charge transfer)Silver 1.59 10 -8 Ωm, Copper 1.68 10 -8 ΩmSilicon 6.40 10 2 Ωm Glass10 10 to 10 14 Ωm

Teflon 1022

to 1024

Ωm

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Equivalent circuit

• Diffusion impedance, W (Warburg)• Related to semi infinite diffusion

• T, concentration, diffusion coefficients,viscosity, electrode area

• Typical values: depends on the system

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Electrochemical methods

• Large number of methods available• DC: cyclic voltammetry, chrono

amperometry, … • AC: electrochemical impedance

spectroscopy, …

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Advantage of DC methods

• Ex: cyclic voltammetry• Most popular technique in

electrochemistry• Provides a complete overview of the

electrochemical interface• Immediately recognizable

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Cyclic voltammetryPlatinum in HClO 4 0.1 M

Added EtOH

Anodic peaks attributedto the oxidation of EtOH

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Disadvantage of DC methods

• System is driven away from equilibrium• Response is given by Σ individual

contributions• Information about the rate determining

step can be determined• No information on the internal dynamics

of the system

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Disadvantage of DC methodsIron in sea waterNo direct information aboutelectrochemical interface

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Dummy cell case study

• Assuming a simple dummy cell

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Dummy cell case study

• CV staircase methodUsing Ohm’s law and a linearregression:Slope = 0.000142411/Slope = 7021.98 Ω ≈ 102 Ω + 2230 Ω + 4700 Ω (7032 Ω )

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Dummy cell case study

• EISUsing direct reading of datashown in the Nyquist plot, R1,R2 and R3 are immediatelyknownR1 = 106 Ω R2 = 4844.1 – 106=4738.1 Ω R3 = 7028.7 – 4844.1=2184.6 Ω

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Dummy cell case study

• EISUsing indirect reading ofdata shown in the Nyquistplot, C1, and C2 are easy tocalculate

C1 = 9.95 nF using R2C2 = 10.77 µF using R3

max1

R C

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Alternative: EIS

• Electrochemical impedancespectroscopy

‘Study of the variation of the impedanceof an electrochemical system with the

frequency of a small-amplitude ACperturbation’

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EIS Basics

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EIS Basics

• Ohm's law gives a simple relationbetweendc-potential (E) and dc-current (i):

I E R

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EIS Basics

• EIS is a transfer function betweenpotential and current

te e sin t ti i sin t Z(ω )

0

e sin t sin tZ Z

i sin t sin t

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EIS Basics

te e sin t

ti i sin t

The current responseleads or lags the voltageby a phase angle

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EIS Basics

When ac-signals are involved therelation is:

Z ( ω )=

where Z ( ω ) is the complex impedance.

ΔE ( ω )

ΔI ( ω )

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EIS Basics: complex number

• It is common practice to express Z asa complex function

j ( )0 0

Re Im

Z( ) Z e Z cos jsin

Z Z j Z

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EIS Basics: complex number

• Real components are located on theabscissa

• Imaginary components are located onthe ordinates

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EIS Basics: data presentation

• Nyquist plot• Plot of – Z” vs Z’, using iso -metric

axes

Z( ) Z'( ) j Z"( )

Total impedance Real componentImaginary component

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EIS Basics: data presentation

• Bode presentation• Plot of |Z| vs log F and Φ vs log F

j ( )Z( ) Z e

Total impedance Modulus

Phase angle

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EIS Basics: data presentation

• Bode presentation

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EIS Basics: data presentation

• 3D projection

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EIS Basics: data presentation

• 3D projection

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Circuit Element Review

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Ohm’s law holds at all frequencies for apure resistor

Z( ) R

0

Pure resistor (R)

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Ohm’s law holds at all frequencies for apure resistor

Typical examples: Ohmic resistance,

charge transfer resistance

There is no phase shift

Z( ) R

0

Pure resistor (R)

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Resistor

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Impedance (reactance) is frequencydependent

1Z( )

C

2

Pure capacitor (C)

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Capacitor

• Capacitor

• Typical examples: double layercapacitance, coating capacitance

C1 1Z j

j C C

90

phase shift

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Capacitor

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• Inductance

• Typical examples: instrumentalartifacts, adsorption phenomena

LZ j L

90

Inductance

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• Impedance of element in series =Σ impedance of elements

R C1

Z Z Z R j

C

RC, series

R Ci i i

R CE E E 1Z( ) R R

0

2

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RC, series

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RC, series

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1 1Z( )1CR

02

Impedance of element in parallel =1/R (1/impedance of elements)

R C

1 1 1 1 j CZ Z Z R

RZ

1 Rj C

RC, parallel

R Ci i i R CE E E

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RC, parallel

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Impedance vs admittance

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Φ0

Φ 0

Randles Cell – Electrochemical cell model

R Ω + Z f

∞ > ZC dl > 0Capacitivecontribution

Pure resistive behavior,

no phase change.

Pure resistive behavior,

no phase change.

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Fmax

Randles Cell – Electrochemical cell model

R Ω + Z f

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EIS back to Basics

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Linearity condition

• The applied AC amplitude must be

small so that the response of the cellcan be assumed to be linear (in 1 st approx)

• Important choice of the appliedamplitude

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Linearity condition

At fixed DC potential (or current), a small amplitude sinusoidal potential(or current) perturbation is applied. The response of the cell is a small

amplitude sinusoidal current (or potential)

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Linearity condition

All systems are nonlinear and the response

depends on the system

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Linearity condition

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Linearity conditionPotentiostatic or galvanostatic control?Z is independent of the m o d e

At what DC potential or current? Always at OCP?

Depends on the systemRequires knowledge of the system

What should the AC amplitude be?

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Linearity condition

• FAQ # 1

• How to choose the amplitude?• Small enough to stay linear• Big enough to measure a response

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Stability condition

• Corrosion of the electrode, adsorption

or formation of oxides, discharge ofthe device, changes in theelectrochemical interface, …

• Electrochemical system are unstable

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Stability condition

• Min. time for Z at 10 µHz: 10.000 s

• Scan from 1 kHz to 1 mHz, 61frequencies, log. distribution

• 2 h, 47 minutes (estimated)

• Scan from 1 MHz to 1 Hz, 61frequencies, log. Distribution• 7 minutes (estimated)

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Stability condition

• Duration

The experimentduration is dominatedby the low frequencies

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Avoiding traps

• Powerful method but not stand alone

• Knowledge of the system is required• 3 conditions must be respected• Instrument is not a black box

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What’s wrong with this picture?

Bit of scattering in the low frequency range?

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Measurement sequence

• Step 1: AC signal is applied on the cell

• Step 2: AC response is recorded• Step 3: signals are sent to the

impedance analyzer

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Measurement sequence

Raw signals (50 Hz contamination) Lissajous plot

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Measurement sequence

• FFT is computed for both signals

• Impedance is calculated fromfrequency domain data

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Measurement sequence

Fourier transformed signals (50 Hz)

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Nyquist and Bode plots

• Updated in the software

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Hidden information

• Nyquist and Bode plots do not show

all the information• The raw signals are insteresting to

consider

• Lissajous plots test the linearity

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Lissajous plotsPure R Pure C Real cell

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Lissajous plots

• Measurement of impedance

O

B

ADO

B

AD

OAVZ 1M

i OB

OD

sin 33OA

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Raw signals in resolutionThe raw data can beused to verify the dataquality in terms oflimit of detection

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Kramers-Kronig test

• Basic test for data validation

• Equations linking real and imaginarycomponents of complex quantities forsystems fulfilling the conditions of

linearity , causality and stability

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Kramers-Kronig test

• Diagnostic tool for impedance data

• Test the data for consistency• Recalculates the real/imaginary part

based on the measured imaginary/real

part

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Practical EIS: frequency scan

• Frequency range?

• Depends on the system’s time constants • 10 kHz to 100 mHz is a good start

(always high to low)• Above 10 kHz effects from cables,

reference electrode and connections

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Practical EIS: frequency scan

Wave type

Amplitude

Frequency scanproperties Frequency

distribution

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Practical EIS: frequency scan

• Direction: high to low frequency

Frequency scan is performed from high tolow frequency (stability condition)

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Practical EIS: frequency scan

X

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Practical EIS: frequency scan

• # frequencies and distribution:

10/decade and logarithmic• ! Duration: dominated by the low

frequency

• Alternative: multisine

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Multisine vs single sine

• Multisine: linear combination of

single sines5 sines signal,contain a basefrequency and 4

higher harmonics

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Multisine vs single sine

• Multisine: linear combination of

single sines15 sines signal,contain a basefrequency and 14

higher harmonics

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Multisine vs single sine

• 1000 Hz – 0.001 Hz, 61 Freq, single:

2h, 47 min• 1000 Hz – 0.001 Hz, 13 Freq, 5 sine:

50 min

• 37 min with 15 sines• Faster but less accurate!

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Data analysis

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Data analysis• Analysis: crucial part of the EIS

• Different tools are available• Difficult and time consuming• Pitfall: extract too much information

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Analysis tools• Find circle (quick fit): used to quickly

fit a semi-circle in the Nyquist• Provides a quick estimate using a

R(RQ) circuit

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Analysis tools• Find circle (quick fit)

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Analysis tools• Find circle (quick fit)

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Analysis tools• Circuit description based on

B.A.Boukamp:• Solid state Ionics 20 (1986) 31-44 &

Solid State Ionics 18&19 (1986)

136-140

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Analysis tools• Elements

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Analysis tools• Fitting tool comes with circuit editor

Elements can be connectedusing split and join elements

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Analysis tools

Initial conditions,boundaries, fixedparameters can beedited in the dedicated

panel

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Fitting progressIterative processSeveral iterationsrequired in order toreach convergence

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Report

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Problems with data fitting• Knowledge about the system is

required• EIS never to be considered as stand

alone!

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Practical examples

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Case 1 – coating on steelRE

CE

WE

Coating

Steel

NaCl

3 electrode setup

Z measuredbetween RE and WE

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Case 1 – coating on steel

Nyquist BodePure R

Pure C

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Case 1 – coating on steel• Interpretation?

RECE

WE

Coating

Steel

NaClRu

Cdl

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Case 1 – coating on steel

Poor fit

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Case 1 – problem?• Element Q

• Used to describe an imperfectbehaviour of a reactance

Q n

0

1Z

Y j

C j

ZC

n = 1 capacitorn = 0 resistorn = 0.5 uniform diffusion0.5 < n < 1 rough electrode0 < n < 0.5 porous electrode

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Case 1 – Element Q

Smooth electrode: C dl = C Rough electrode: C dl ≠ C Q

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Case 1 – Element Q

n ↑

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Case 1 – coating on steel

Good fit

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Case 2 – Partially blockedsurface

Electrode

Surface film Cdl

Re

Csf Rct

Electrolyte

ll bl k d

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Case 2 – Partially blockedsurface

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Case 3 – Coating revisitedRE

CE

WE

Coating

Steel

NaCl

3 electrode setup

Z measuredbetween RE and WE

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Case 3 – Coating revisited

Nyquist BodePure R

Pure C

Two semi-circles

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Case 3 – Coating revisited• Fitting?

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Case 3 – Coating revisited• Knowledge of the system is required

• Not the same coating as case 1• What would happen if the coating

fails?

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Case 3 – Failing coatingRE

CE

WE

Coating

Steel

NaClRu

Cdl

Pores

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Case 3 – Failing coating

Coating + pores

Steel

Ru

Cdl

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Case 3 – Failing coating• Fit result

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Case 3 – Failing coating• Knowledge of the system is required

when fitting the data

C 4 C ti ith

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Case 4 – Coating withblisters

Electrode

Surface film

Blister with electrolyte

Cdl

Re

Rct

Rep

Csf Z

wa

Electrolyte

C 4 C ti g ith

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Case 4 – Coating withblisters

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Case 5 – Two layer coating

Electrode

Surface film 2 Cdl

Re

Rct

Rsf2

Csf2

Rsf1

Csf1

Surfacefilm 1

Electrolyte

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Case 5 – Two layer coating

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Case 6 – Mass transfer• Semi infinite diffusion

Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-

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Case 6 – Mass transfer• Warburg diffusion element, W

• |ZW’| = |ZW”| 45 °• - Φ = π /4

• W depends on the concentration,

diffusion coefficient and temperature

WZ j 2 2

O O R R

RT 1 1n F A 2 D C D C

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Case 6 – Mass transfer• Semi infinite diffusion

Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-

Semi-infinite diffusioncontribution

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Case 7 – Forced convection• Finite diffusion

Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-

Hydrodynamic conditions

Angle of 45°Indication of semi-infinite diffusion

Falls off towards afinite impedance

Case 7 Mass transfer

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Case 7 – Mass transfer

through a thin layer, a coating• Finite diffusion layer

• O element

O0

1Z tanh B j

Y j

O W0

1Z Z

Y j

Typically used for:- Diffusion through thin layer- Ion selective electrodes- Diffusion through a coating

O element is identical to Wwhen tanh argument > π

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Red O 2Blue Air

Case 7 – Fuel Cell

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Air O 2

Case 7 – Fuel Cell

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Case 7 – Forced convection

• Finite diffusion layer

• O element

BD

1/3 1/6

RDE

1.61 D For a rotating disc

electrode

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Case 7 – Forced convection

• Finite diffusion

Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-

Finite diffusion contribution

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Case 7 – Forced convection

• Variation of rotation rate

Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-

At higher rotation rates diffusion layer thickness,δ decreases ZO decreases

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Case 7 – Forced convection

• Variation of rotation rate

Platinum working electrode[Fe(CN) 6 ] 4- /[Fe(CN) 6 ] 3-

600RPM 1200RPM 2400RPMB B B

O O O

600RPM 1200RPM 2400RPMY Y Y

O

0

1Z tanh B j

Y j

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Case 8 – Bounded diffusion

• Tangent hyperbolic diffusion

• Impedance of finite-length diffusionwith reflective boundary• Typical of film with electro-active

species, porous electrodes, Li Batteries ω jBthω jYωY 0

( ) [ ]ωω

ω→

j B j Y

Z coth1

=0

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Case 8 – Bounded diffusion

• Tangent hyperbolic diffusion• B = time (second) take for a reactant to

diffuse from one side of the layer to theother.

• Thickness of the thin layer δ

• Diffusion coefficient DD

B δ

=

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Case 8 – Bounded diffusion

• Tangent hyperbolic diffusion

>45 °

“T” element

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Case 8 – Bounded diffusion

• Tangent hyperbolic diffusion

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Case 9 – Gerischer impedance

• Chemical reaction in bulk solution

• Model for porous electrodes• Lithium batteries

j k Y Z

0

1

jωkYωY 0

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Case 9 – Gerischer impedance

• Model for porous electrodes

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Case 9 – Gerischer impedance

• Li-Thionyl battery

Summary of mass transport

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W, semi-infinitelinear diffusion

O, finite-length diffusion

T, bounded Warburg,linear finite diffusion

G, bulk chemical reaction

Summary of mass transport

elements

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WT= Zinc – Air battery

W 45 0

T>45 0

d

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Case 10 Inductance

Z = j ω L

• High frequencies inductance

• Low frequencies inductance

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L f i I d

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Low frequencies Inductance

• Adsorption process at electrode surface,surface reaction or chemical modification

L f i I d

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Low frequencies Inductance

• Adsorption process at electrode surface,surface reaction or chemical modification

C 11 Bi 2

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Case 11 Bisquert2

• Transmission line element

• Model for a porous or mixed-phase

electrode of thickness L

C 11 Bi 2

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Case 11 Bisquert2

XX

X1 X X1 X

X 3

X

X 3

X

X2

X1 X X1 X

X 3

X

X 3

X

X2 X2

C 11 Bi 2

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Case 11 Bisquert2

L

anh L L Z B cotsinh

2XX

21

2

2

2

1

21

212

21

3X Where λ is given by

C 11 Bi t2

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Case 11 Bisquert2

• DSSC V@MaxPP

C 11 Bi t2

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Case 11 Bisquert2

• DSSC V@ OCP

S f ll l t

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Summary of all elements

• Resistance R R

• Capacitance C C

• Inductance L L

• Constant Phase element Q Y 0 and n

S f ll l t

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Summary of all elements

• Warburg diffusion W Y 0

• Finite diffusion O Y 0 and B

• Bound diffusion T Y 0 and B

• Gerischer impedance G Y 0 and Ka

S f ll l t

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Summary of all elements

• Transmission line B 2

R1 Q1 n1, R2 Q2 n2, R3 Q3 n3, L

If R or Q is “0” means that is not available

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Summary

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Summary

• Potentiostat setting

• FRA setting

Summary Potentiostat setting

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y g

• OCP?

• Potentiostat or Galvanostat?

• Fix DC potential (current) or potentialscan?

Potential scan

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Intercept gives Flat Band Potential

Slope gives number

of dopants.

• Potential Scan: Mott Schottky plot of asemiconductor

Summary FRA setting

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• Frequency range?

• Amplitude value?

• Single sine or Multi sine?

Example of frequency range:

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1MHz -100mHz

Example of frequency range:

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10KHz -1mHz

Summary FRA setting

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Amplitude value?

Summary FRA setting

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Amplitude value?

Δ 50 mV = 42.1 µA

Δ 10 mV = 6.4 µA

Summary FRA setting

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Δ 200mV = 0.39 µA

Δ 100mV = 0.18 µA

Amplitude value?

Summary FRA setting

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Z=1 GOhm10 mV leads to I=10 pA!!

• Amplitude value?

Take home message

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Take home message

• Modern electrochemicalinstrumentation and software allowseasy and fast data acquisition

• Powerful data handling and analysistools are available

• Data analysis remains a difficult task

High current density

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g y

measurementControl of programmable electronic loadsor power supplies for high current or

high voltage measurements

PEM fuel cell stack at 200 ADC current

DSSC devices measurements

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IMPS and IMVS measurement on

photovoltaic device through modulation

of light intensity

DSC IMVS measurement at 625 nm,OCP, E = 1.652 mW/cm2, DE = 10 %

DSSC devices measurements

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DSSC charge transfer TiO 2 /dye/electrolyteDiffusion process of I - /I 3

-

DSSC devices measurements

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DSSC charge transfer TiO 2 /dye/electrolyteDiffusion process of I - /I 3

-

Monitoring of impedance in

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g pfunction of time

Fuel cell measurement, Z measured for1800 seconds

Battery (LiPo)

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Battery (LiPo)

Take home message

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Take home message

! System knowledge is always required

! Impedance cannot be considered as astand alone! Careful attention to the data

acquisition settings

EIS only one form of many

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EIS only one form of many

• Electrochemical impedancespectroscopy one form of impedance

• Rotation rate, mass, temperature,light intensity, charge, etc…

References

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References

Evgenij Barsoukov & J. Ross Macdonald: ImpedanceSpectroscopy: Theory, Experiment, and Applications,Wiley-Interscience, 2005

The reference handbook on impedancespectroscopy

References

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References

Bernard Tribollet & Mark E. Orazem: ElectrochemicalImpedance Spectroscopy, Wiley-Interscience, 2008

Good reference book, specificallyfocussed on ElectrochemicalImpedance Spectroscopy

References

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References

Allen J. Bard and Larry R. Faulkner,Electrochemical Methods: Fundamentals andApplications, Wiley, 2001

The reference handbook onelectrochemistry, also coversimpedance spectroscopy

www.metrohm-autolab.com

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www.metrohm autolab.com

Service and Support

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Service and Support

• All instruments covered by 3 yearsfactory warranty

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