1. Technique Overview
Chronoamperomtery (CA) is a potential step method and is also known as constant potential bulk electrolysis, controlled potential amperometry, and potential pulse electrolysis. In its most simple case, CA is the measurement of current vs. time due to a change (step, pulse) in potential. Chronocoulometry (CC) is a variant of CA where the current is integrated with respect to time yielding charge, which is plotted vs. time. Such an experiment is post-processed following a CA experiment.
2. Fundamental Equations
The following is a basic description of the theory behind Chronoamperometry. Please see the literature for a more detailed description of the technique1.
Consider the general reaction
(4)
with a formal potential
. In general, the potential step applied to the working electrode should be sufficiently more negative than
such that reduction of
to
is complete at the surface of the electrode (i.e., surface concentration of
at the electrode surface is 0). When this occurs, the current is diffusion-limited, much like the current that flows in cyclic voltammetry after the potential of the electrode sweeps past
.
When the current is diffusion-limited in CA, the current-time response is described by the Cottrell equation2
(5)
where
is current,
is the number of electrons transferred in the half reaction,
is Faraday's Constant (96,485 C/mol),
is the area of the electrode,
is the diffusion coefficient,
is the initial concentration, and
is time.
3. Experimental Setup in AfterMath
To perform a chronoamperometry experiment in AfterMath, choose Chronoamperometry (CA) from the Experiments menu (see Figure 1).
Doing so creates an entry within the archive, called CA Parameters. In the right pane of the AfterMath application, several tabs will be shown (see Figure 2).
As with most Aftermath methods, the experiment sequence is
Induction Period → Electrolysis Period (Forward Step Period) → Relaxation Period → Post-Experiment Idle Conditions
Unlike most experiments, the Induction and Relaxation Periods are on the Basic Tab. The parameters for a CA experiment are fairly simple compared to other methods in AfterMath.
In general, enter minimum required parameters on the Basic tab and press "Perform" to run an experiment. AfterMath will perform a quick audit of the parameters you entered to ensure their validity and appropriateness for the chosen instrument, followed by the initiation of the experiment. In some cases, users may desire to adjust additional settings such as filters, post- experiment conditions, and post-experiment processing before clicking the "Perform" button. Continue reading for detailed information about the fields on each unique tab.
3.1. Basic Tab
TIP:
Click the AutoFill button on the top bar in AfterMath to automatically fill all required parameters with reasonable starting values. While the values provided may not be appropriate for your specific system, they are reasonable parameters with which to start your experiment, especially if you are new to the method.
NOTE:
Not all sampling rates are possible. When users enter a number of intervals that is not allowed, AfterMath will prompt the user with an 'Interval too short' error. Change the number of intervals and try again. In general, integer values at moderate rates are most often possible.
The table below lists the group and field names and symbol for each parameter associated with this experiment (see Table 1)
Group Name
Field Name
Symbol
Induction Period
Potential
Induction Period
Duration
Electrolysis Period (Forward Step Period)
Potential
Electrolysis Period (Forward Step Period)
Duration
Relaxation Period
Potential
Relaxation Period
Duration
Sampling Control
Number of Intervals
Table 1: Basic Tab Group Names, Field Names, and Symbols
3.2. Advanced Tab
The CA Advanced tab contains two groups for iR Compensation and for Experiment End Trigger (see Figure 5).
Detailed description of the iR Compensation Mode is provided elsewhere on the knowledgebase. This mode is used to correct for uncompensated resistance in the electrochemical cell.
In a CA experiment, the researcher may want to have AfterMath monitor the response and then stop the experiment at a specific current, potential, and/or charge. This value is called a trigger and is set in the Experiment End Trigger group on the Advanced tab (see Figure 5). For CA, the signals for the trigger can be potential, current, or charge.
3.3. Ranges, Filters, and Post Experiment Conditions Tab
In nearly all cases, the groups of fields on the Ranges tab are already present on the Basic tab. The Ranges tab shows an Electrode Range group and depending on the experiment shows either, or both, current and potential ranges and the ability to select an autorange function. The fields on this tab are linked to the same fields on the Basic tab (for most experiments). Changing the values on either the Ranges tab or on the Basic tab changes the other set. In other words, the values selected for these fields will always be the same on the Ranges tab and on the Basic tab. More on ranges is found within the support articles, as is for autorange.
The Filters tab provides access to potentiostat hardware filters, including stability, excitation, current response, and potential response filters. Pine Research recommends that users contact us for help in making changes to hardware filters. Advanced users may have an easier time changing the automatic settings on this tab.
By default, the potentiostat disconnects from the electrochemical cell at the end of an experiment. There are other options available for what these post-experiment conditions can be and are controlled by setting options on the Post Experiment Conditions tab.
3.4. Post-Experiment Processing Tab
At the completion of this experiment, there are additional post-processed plots that can optionally be generated. Additional plots will increase the size of the archive; however, if they are desired, it can save time to generate them automatically than manually later (see Figure 6).
On the Post-Expeirment Processing Tab for CA, users can enable two additional plots: Cottrell Plot (see Figure 7) or Anson Plot (see Figure 8). Tick the checkbox next to the plot to add them to the archive following the completion of the experiment.
Ticking the box next to Cottrell Plot displays a plot of i vs. t-1/2 (see Figure 7). Ticking the box next to Anson Plot displays a plot of Q vs. t1/2 (see Figure 8). Note that for the Cottrell Plot, the level portion in the plot is actually the time prior to the current spike shown in the chronoamperogram (see Figure 8). That is, earlier time points are to the right in a Cottrell Plot. This is not the case for an Anson Plot because integrating the current with respect to time gives charge. The endpoint in an Anson Plot is the total amount of charge passed during the experiment. Monitoring the charge passed during an experiment is a variant of chronoamperometry called Chronocoulometry.
4. Sample Experiment
5. Example Applications
In the first example, Tennyson et. al used chronoampometry to determine the diffusion coefficients
and number of electrons
for a series of indirectly connected bimetallic complexes3. In this instance, the researchers used microelectrodes to generate steady-state currents. By plotting the function
(6)
allows for the calculation of
without knowledge of
or
. Though the experiments are relatively simple and straightforward, the researchers then used these values for more complicated electrochemical experiments that enabled them to determine the degree of electronic coupling between the two metallic centers. Understanding the degree of electronic coupling could allow for facilitation to otherwise inaccessible catalysts and materials.
In another example, researchers show how CA was used to measure extremely small diffusion coefficients of redox polyether hybrid cobalt bipyridine molten salts. Crooker and Murray performed chronoamperometry on a series of undiluted molten salts and were able to obtain diffusion coefficients as low as 10-17 cm2/s.4 The researchers obtained heterogeneous rate constants
using cyclic voltammetry and were able to show that the reaction remains quasireversible despite small
rates because
values are so low.
Here, chronoamperometry to directly measure rate constants. Smalley et al.5 examined a series of monolayers terminated with either a ferrocene or ruthenium redox moiety. For monolayers containing more than 11 methylene units, chronoamperometry was used to determine the heterogeneous rate constants
. The researchers also determined pre-exponential factors and found them to be much lower than expected based on aqueous solvent dynamics.
In a modified CA experiment, researchers used chronocoulometry (CC, a post-experiment calculation of CA data). Wolfe et al. prepared a series of ferrocenated hexanethiolate protected Au nanoparticles6. Normally, thermogravimetric analysis (TGA) would be used to calculate the number of thiolates per nanoparticle; however, in this case, TGA was inconclusive due to a slow loss of mass over the applied temperature range. The researchers instead monitored the charge passed (Q) over time for the solution of nanoparticles of known concentration. By knowing the total charge passed and the particle concentration, they determined the number of ligands per nanoparticle. This is an excellent example of how electrochemistry can be used in place of more traditional characterization techniques.
In another example of using post-processed CA data, researchers employed chronocoulometry (CC, a post-experiment calculation of CA data), but rather than using it for quantification purposes, the researchers use it to evoke a change in the system. Zhang et al. use chronocoulometry with predefined endpoints to produce Ag nanoparticles of various shpaes and sizes that were confined to an electrode surface7. By varying the amount of charge passed the researchers were able to show that triangular nanoparticles oxidize first on the bottom edge, followed by triangular tips, followed by out-of-plane height. Since the researchers also coupled spectroscopy to their electrochemical experiments they were also able to show how the SPR band changes with nanoparticle shape evolution. This example illustrates how electrochemistry can be used to evoke a change in a system rather than simply used as a method to monitor changes or determine the physical parameters of the system.
6. Related Video
The following YouTube video provides a short introduction to chronoamperometry, and can be found along with other useful content on the Pine Research YouTube channel.
7. References
- Bard, A. J.; Faulkner, L. A.  Electrochemical Methods: Fundamentals and Applications, 2nd ed. Wiley-Interscience: New York, 2000.
- Cottrell, F. G.  Residual current in galvanic polarization regarded as a diffusiona problem.  Z. Phys. Chem., 1903, 42, 385â431.
- Tennyson, A. G.; Khramov, D. M.; Varnado, C. D.; Creswell, P. T.; Kamplain, J. W.; Lynch, V. M.; Bielawski, C. W.  Indirectly Connected Bis(N-Heterocyclic Carbene) Bimetallic Complexes: Dependence of MetalâMetal Electronic Coupling on Linker Geometry.  Organometallics, 2009, 28(17), 5142-5147.
- Crooker, J. C.; Murray, R. W.  Probing the Limits:â Ultraslow Diffusion and Heterogeneous Electron Transfers in Redox Polyether Hybrid Cobalt Bipyridine Molten Salts.  Anal. Chem., 2000, 72(14), 3245-3252.
- Smalley, J. F.; Finklea, H. O.; Chidsey, C. E. D.; Linford, M. R.; Creager, S. E.; Ferraris, J. P.; Chalfant, K.; Zawodzinsk, T.; Feldberg, S. W.; Newton, M. D.  Heterogeneous Electron-Transfer Kinetics for Ruthenium and Ferrocene Redox Moieties through Alkanethiol Monolayers on Gold.  J. Am. Chem. Soc., 2003, 125(7), 2004-2013.
- Wolfe, R. L.; Balasubramanian, R.; Tracy, J. B.; Murray, R. W.  Fully Ferrocenated Hexanethiolate Monolayer-Protected Gold Clusters.  Langmuir, 2007, 23(4), 2247-2254.
- Zhang, X.; Hicks, E. M.; Zhao, J.; Schatz, G. C.; Van Duyne, R. P.  Electrochemical Tuning of Silver Nanoparticles Fabricated by Nanosphere Lithography.  Nano Lett., 2005, 5(7), 1503-1507.
