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On the Use of the power-law model for interpreting constant-phase-element parameters

Abstracts

Constant-phase elements (CPE) are often used to fit impedance data arising from a broad range of experimental systems. The power-law model has proven to be a powerful tool for interpretation of CPE parameters resulting from an axial or normal distribution of time constants. This paper addresses difficulties in applying this model associated with uncertain values for one of the model parameters. Methods are presented for bounding the value of the parameter, for calibration, and for comparative analysis in which the unknown parameter may be eliminated. The methods are illustrated by data taken from the literature for oxides on steels and for human skin.

electrochemistry; electro-analytical; voltammetry/amperometry/spectrophotometry/potentiometry analysis


Elementos de fase constante (CPE) são frequentemente usados para modelar dados de impedância oriundos de uma gama variada de sistemas experimentais. O modelo de lei de potências comprovou ser uma ferramenta poderosa na interpretação de parâmetros de CPE resultantes de uma distribuição axial ou normal das constantes de tempo. Este trabalho trata das dificuldades na aplicação deste modelo quando um de seus parâmetros possui valor incerto. São apresentados métodos que delimitam o valor do parâmetro, de calibração e de análise comparativa, na qual o parâmetro desconhecido pode ser eliminado. Os métodos são demonstrados por dados sobre óxidos em aços e sobre pele humana, retirados da literatura.


ARTICLE

On the Use of the power-law model for interpreting constant-phase-element parameters

Mark E. OrazemI,* * e-mail: meo@che.ufl.edu ; Bernard TribolletII; Vincent VivierII; Douglas P. RiemerIII; Erick WhiteIV; Annette BungeIV

IDepartment of Chemical Engineering, University of Florida, Gainesville, FL, 32611, USA

IILISE, UPR 15 du CNRS, Université P. et M. Curie, CP 133, 4 Place Jussieu, 75252 Paris, France

IIIHutchinson Technology, Inc., 40 West Highland Park Dr. NE, Hutchinson, MN 55350, USA

IVDepartment of Chemical and Biological Engineering, Colorado School of Mines, Golden, CO 80401, USA

ABSTRACT

Constant-phase elements (CPE) are often used to fit impedance data arising from a broad range of experimental systems. The power-law model has proven to be a powerful tool for interpretation of CPE parameters resulting from an axial or normal distribution of time constants. This paper addresses difficulties in applying this model associated with uncertain values for one of the model parameters. Methods are presented for bounding the value of the parameter, for calibration, and for comparative analysis in which the unknown parameter may be eliminated. The methods are illustrated by data taken from the literature for oxides on steels and for human skin.

Keywords: electrochemistry, electro-analytical, voltammetry/amperometry/spectrophotometry/potentiometry analysis

RESUMO

Elementos de fase constante (CPE) são frequentemente usados para modelar dados de impedância oriundos de uma gama variada de sistemas experimentais. O modelo de lei de potências comprovou ser uma ferramenta poderosa na interpretação de parâmetros de CPE resultantes de uma distribuição axial ou normal das constantes de tempo. Este trabalho trata das dificuldades na aplicação deste modelo quando um de seus parâmetros possui valor incerto. São apresentados métodos que delimitam o valor do parâmetro, de calibração e de análise comparativa, na qual o parâmetro desconhecido pode ser eliminado. Os métodos são demonstrados por dados sobre óxidos em aços e sobre pele humana, retirados da literatura.

Introduction

In 2010, Hirschorn et al.1,2 identified a relationship between constant-phase element (CPE) parameters and physical properties of films by regressing a measurement model3,4 to synthetic CPE data. Following the procedure described by Agarwal et al.,3,4 sequential Voigt elements were added to the model until the addition of an element did not improve the fit and one or more model parameters included zero within their 95.4 percent 2s confidence interval.

Their concept was to identify the distribution of resistivity that, under the assumption that the dielectric constant is independent of position, would result in CPE behavior. The development is presented in detail in reference 1. The authors proposed a distribution of resistivity to be

where r0 and rd are the boundary values of resistivity at the interfaces. A graphical representation of the resistivity distribution associated with equation 1 is presented in Figure 1, where rd is the resistivity at y = d or x = 1, and r0 is the resistivity at y = 0 or x = 0. The value of r0 was chosen for this representation to be 5 × 104 rd, but often r0 is too large to be seen in the impedance response.


Under the conditions that r0 > rd and f < (2prdee0)-1, the impedance of the film was given as

where g is a function of g. Equation 2 was shown to be in the form of a CPE, i.e.,

for f < (2pr0ee0)-1. Examination of equation 3 and the high-frequency limit of equation 2 yielded 1/g = 1 – a where g > 2 for 0.5 < a < 1 . Numerical integration was used to develop the interpolation formula

A relationship among the CPE parameters Q and a and the dielectric constant e, resistivity rd, and film thickness d was found to be

where resistivity rd is the lower bound for the resistivity given in equation 1 and e0 is the permittivity of vacuum with a value of e0 = 8.8542 × 10-14 F cm-1.

Orazem et al.5 recently provided a summary of methods used to extract system properties from CPE parameters. Following the concepts described by Jorcin et al.,6 CPE behaviors were described as resulting from surface or normal (axial) distributions of time constants. If the CPE results from a dielectric response of the material, i.e., a normal distribution of time constants, it allows determination of an effective capacitance expressed in terms of dielectric constant e and film thickness d as

If the CPE response is instead associated with a surface distribution of time constants, a double-layer capacitance may be identified, and the associated value may be used to assess the electrochemically active area.

Equations 5 and 6 yield an expression for the effective capacitance as

In addition to the CPE parameters Q and a, Ceff,PL depends on the dielectric constant e and the smaller value of the resistivity rd. A special feature of equation 7 is that it depends only on the high-frequency data without need for the resistance obtained at low frequency.

The assumption of a uniform dielectric constant is not critical to the development summarized above. Musiani et al.7 have shown that equation 5 applies, even when the assumption of a uniform dielectric constant is relaxed by allowing variation of e in the region of low resistivity. The power-law model has been demonstrated to provide a suitable approach for interpreting the CPE behavior associated with the dielectric response of a film.2,5 Indeed, the model has been adapted successfully to explore the role of water uptake in coatings.8 While the power-law model provides a better interpretation of CPE parameters than does the formula derived from the characteristic frequency of the impedance, i.e.,

which is equivalent to equation 3 in the work of Hsu and Mansfeld,9 it requires a parameter rd that has well-defined physical meaning but is generally unknown.

In previous work,2 the experimental frequency range was coupled with physical insight to establish a range of values for rd. The authors also used independent measurements of film thickness to allow determination of a value for rd, but this approach may be criticized if the uncertainty in the film-thickness measurement is very large. The object of this work is to explore the propagation of errors from the film-thickness measurement to determination of rd and, ultimately, to the estimation of film thickness for other systems. An alternative approach is also explored in which determination of rd may be avoided. This work is intended to demonstrate how the power-law model may be applied to interpretation of CPE behavior.

Experimental

The experimental results discussed in the present work come from the literature.

Impedance of free-machining steel

Steel samples were masked using a vinyl tape, 0.132 mm thick, (3M 471) in which a precision 3 mm hole was cut. The coupon with applied mask was then sandwiched into a cell where 1 mL of electrolyte was used to fill the cell. The cell was attached to a PAR 2273 Potentiostat/FRA and impedance measurements were conducted at the measured open-circuit potential using a 10 mV perturbation.

Impedance data were collected in an electrolyte consisting of 22 g L-1 boric acid with NaOH added, about 6 g L-1, to bring the pH to 7.2. The samples included steel in as-received condition and after a proprietary treatment to increase the chromium content of the oxide film. Additional information is provided in reference 5.

Impedance of human skin

The impedance data reported in the present work came from a larger study intended to correlate changes in the flux of p-chloronitrobenzene (PCNB) and 4-cyanophenol in response to physical and chemical damage.10-12 Split-thickness human cadaver skin (300-400 µm thick) from the back or abdomen was purchased from the National Disease Research Interchange (NDRI, Philadelphia, PA). The skin was collected within 24 h post mortem, frozen immediately, and stored at temperatures less than –60 ºC until used. The protocol described by White et al.10 was used to ensure that the skin resistance was greater than 20 kΩ cm2, a value considered to indicate that samples have sufficient integrity for meaningful measurements of in-vitro chemical permeability.

The impedance was measured in a four-electrode configuration, in which two Ag/AgCl (In Vivo Metric, Healdsburg, CA) reference electrodes were used to sense the potential drop across the skin, and two Ag/AgCl working electrodes were used to drive the current. Ag/AgCl electrodes are commonly used for biological systems because the electrolytes typically contain chloride ions and the associated electrochemical reactions do not change the electrolyte pH. The skin was exposed on both sides for roughly eight hours to a phosphate buffered saline solution (PBS) (0.01 mol L-1, pH 7.4, Sigma P-3813) prepared in deionized water.

Mechanical damage

The impedance measurements reported here were collected with a 10 mV potential perturbation after two permeation experiments (for 7 and 6 h, respectively) in which4-cyanophenol-saturated PBS was placed in the donor chamber and PBS was placed in the receptor chamber. After the first 4-cyanophenol permeation experiment, the frame holding the skin was removed from the diffusion cell, the skin was pierced by a 26 gauge needle (with a 464 µm outside diameter), the cell was reassembled, and the donor and receptor chambers refilled with fresh 4-cyanophenol-saturated PBS and PBS, respectively, for the second permeation experiment. Typical results show that the characteristic frequency before the puncture was substantially smaller than the characteristic frequency after the puncture.

Because the diameter of the needle used to puncture the skin was small compared to the total skin area, the pinhole was expected to have little effect on the impedance properties of the remaining skin. Control experiments were used to show that the electrical properties of skin were unaffected by other skin handling steps. Therefore, the skin resistance and the dielectric constant for the skin were assumed to be the same before and after the skin was pierced by the needle. Additional experimental detail can be found in reference 11.

Chemical damage

The dimethyl sulfoxide (DMSO) experiments consisted of simultaneous measurements of impedance and PCNB flux through skin before and after 1 h treatments with 100% DMSO or with PBS, which acted as the control. The entire experiment was repeated three times. Before the measurements, skin was allowed to equilibrate by immersion in PBS for an eight to twelve hour period.

After equilibration, both chambers were emptied and the receptor and donor chambers were rinsed and filled with 13 mL of PBS and PCNB-saturated PBS, respectively. To ensure saturation of the donor solution throughout the experiment, excess crystals of PCNB were added to the donor chamber solution. After treatment for 1 h, the frame holding each skin sample, including the PBS controls, was removed from the diffusion cell assembly and soaked in approximately 1 L of fresh deionized water three times for 0.25 h and then for 1 h in about 1 L of PBS. The diffusion cells were rinsed thoroughly and then reassembled and filled with PBS solution for another 8-h equilibration period with hourly impedance scans. Impedance results reported for before and after DMSO treatment were derived from the last spectrum collected during the equilibration periods. Additional experimental detail can be found in reference 12.

Results and Discussion

Values for Q and a are obtained from impedance measurements. If the dielectric constant is known, equation 5 may be used to extract drd(1–a). To obtain the film thickness d, a value for rd is required. If d is known, equation 5 yields a value for eª/rd(1–a). To obtain the dielectric constant e, a value for rd is required. The principal difficulty in the application of the power-law model is that values for the parameter rd are unknown. Several methods are proposed to address this difficulty. The frequency range over which CPE behavior is observed may be used to establish an upper bound for the value of rd. If the film thickness d and dielectric constant e are known for a material similar to that under investigation, the value of rd may be obtained through calibration. If calibration is not possible, the power-law model may be used to guide comparative studies.

Establishing bounds

Hirschorn et al.1 demonstrated the method by which bounds on the value of rd may be established through high-frequency limit of the impedance response. The impedance response of the power law model exhibits capacitive behavior above a characteristic frequency

Under conditions that the value of rd is unknown for data showing high-frequency CPE behavior, an upper bound on its value can be defined because the characteristic frequency fd must be larger than the largest measured frequency fmax. Thus, a maximum value of rd can be obtained

Hirschorn et al.2 applied this approach for data that were presented by Frateur et al.13 for the impedance response of a Fe17Cr disk (polarized in the passive domain for 1 h at –0.1 V measured with respect to a mercury/mercurous sulfate electrode in saturated K2SO4) in deaerated pH 4, 0.05 mol L-1 Na2SO4 electrolyte. A value of 12 was assumed for e, which corresponds to the dielectric constant for Fe2O3 and Cr2O3. For this experiment, with a maximum measurement frequency of 100 kHz, rd,max = 1.5 × 106 Ω cm. A lower bound for rd may also be estimated on physical grounds. For an oxide, for example, rd is not expected to be smaller than minimum resistivity value expected for semiconductors, i.e., 1 × 10–3 Ω cm. Using equation 5, this conservative range of rd yields an estimated layer thickness of d = 1.2 to 12.6 nm, which encompasses the value of 3 nm obtained from X-ray photoelectron spectroscopy (XPS).13 While it is satisfying that a physically reasonable range of film thickness can be identified by the methods discussed by Hirschorn et al.,2 more precise values are desired.

For the impedance data associated with human skin in PBS, the thickness of the stratum corneum may be assumed to be around 15 µm, but the dielectric constant is not known. In this case, equations 5 and 10 must be solved simultaneously. Using an iterative technique, the maximum measured frequency yielded rd = 1.59 × 105 Ω cm, corresponding to a dielectric constant of 122. The lowest value for rd was selected on the grounds that the resistivity of the skin should approach that of the electrolyte in which it is immersed; i.e., rd = 55 Ω cm, corresponding to a dielectric constant of 22. In this case, the range of values obtained is too large to be meaningful, and, again, a more precise approach is desired.

Calibration

From XPS analysis, Frateur et al.13 showed that the passive film developed on Fe17Cr consisted of an inner layer of Fe2O3 and Cr2O3 covered by an outer layer of Cr(OH)3 and that the thickness was about 3 nm. Graphical analysis of the impedance yielded a = 0.89 and Q = 3.7 × 10–5 F cm-2 s-0.11. Equation 5 was used to obtain rd = 450 Ω cm. Under the assumption that other oxides on steel will have similar values for rd, this value of rd was used in subsequent analysis of the impedance response free-machining 18/8 stainless steel (18 Cr-8 Ni), also known as 303 stainless steel, and martensitic stainless steel.5 The power-law model yielded good agreement to independent values of film thickness measured by use of ex-situ XPS.

Assessment of film thickness by XPS, however, is imprecise, and uncertainties in the measurement used for calibration should propagate to the value of rd. Monte Carlo simulations were performed to illustrate the manner in which uncertainty in the measurement of the film thickness causes uncertainty in the resulting rd. Under the assumptions that the standard deviation on the assessment of film thickness by XPS is 10% of the measured value and that the errors are normally distributed, the assessment of film thickness can be expressed as shown in Figure 2.


Under the additional assumption that the dielectric constant of the oxide was e = 12, the resulting value of rd, obtained from equation 5, was found to be log-normally distributed, as shown in Figure 3a. The corresponding distribution of the logarithm of rd is shown in Figure 3b. The 10% uncertainty of the film thickness used to calibrate the power-law model results in an uncertainty of rd that extends over two orders of magnitude. The large uncertainty in rd shown in Figure 3 can be attributed to the observation that, in equation 5, rd appears raised to the 1–a power. When a is close to unity, equation 5 is relatively insensitive to rd.


The calibration from the data of Frateur et al.13 was used by Orazem et al.5 to estimate the thickness of films on a free-machining 18/8 stainless steel (18 Cr-8 Ni). They regressed the data with the equation

where R|| is the parallel resistance. The results are presented in Table 1. The film thickness obtained by ex-situ XPS measurements are also reported. The dielectric constant was assumed to have a value e = 12. As shown in Figure 4, the uncertainty in rd illustrated in Figure 3 is propagated to the estimate of film thickness, as reported in Table 1. The insensitivity of equation 5 to rd, which resulted in a large uncertainty shown in Figure 3, also explains the small standard deviation revealed in Figure 4. The mean value of the film thickness obtained by the power-law model is in good agreement with the value obtained by ex-situ XPS, and the uncertainty in the estimated value is of the order of the uncertainty in the original XPS measurement.


While the emphasis in the present work was on the effect of uncertainty in the value of rd on assessment of film thickness, a similar Monte Carlo analysis could be applied for estimation of dielectric constant when film thickness is known. A Monte Carlo analysis may also be used to address uncertainty in other parameters, for example, in both rd and e for estimation of film thickness.

Comparative analysis

When a reliable value for rd is unavailable, useful information may still be obtained by taking ratios. For example, the ratio of film thickness may be obtained from equation 5 to be

If film properties e and rd may, respectively, be assumed equal for the two samples,

If a1 = a2, then g1 = g2, and values for e and rd are not required. Thus,

From Table 1, a1 = a2. Under the assumptions that the surface treatment did not change the dielectric constant of the film and that the value of rd is the same for the two films, equation 14. For the data presented in Table 1, Q2/Q1 = 28 , which is in good agreement with the ratio of corresponding film thickness measured by XPS of 6.3/2.5 = 2.5. This work shows that film thickness is inversely proportional to the value of Q.

A similar approach is available when the dielectric constant is the desired quantity. The ratio of values of dielectric constant can be expressed through equation 5 as

or, if the thickness and rd are unchanged between measurements,

Under the assumption that a, d, and rd are unaffected by the different exposures,

Equation 16 is very sensitive to differences in a because Q and a are highly correlated in the regression analysis. Thus, equation 17 should not be used when a1 ≠ a2.

The implications of equation 15 can be explored through analysis of recently reported impedance data on human skin. Results are presented in Table 2 for regression of equation 11 to the impedance of skin before and after a) being pierced by a needle;11 b) exposure to phosphate buffered saline solution (PBS) for a 1 h period;12 and c) exposure to dimethyl sulfoxide (DMSO) for a 1 h period.12 Values are the mean and one standard deviation of the parameter value for all exposed skin samples.

Under the assumption that rd = 55 Ω cm, the dielectric constant for skin obtained by use of the power-law model (equation 7) ranged between 19 and 41, as reported in Table 2. These values are in good agreement with values between 29 and 44 reported in the literature that were obtained by reflection of 300 MHz electromagnetic radiation.14,15 The value of dielectric constant obtained by use of equation 8, however, yielded physically unreasonable values ranging from 271 to 434. The standard deviations reported in Table 2 were obtained assuming a linear propagation of error with an assumed 10% uncertainty for the thickness of the stratum corneum.

As the average value of a was not constant between exposures, equation 17 could not be used to assess the ratio of dielectric constants before and after the treatments specified in Table 2. The ratios obtained by equation 16 are in good agreement with the values of dielectric constant calculated from equation 7.

Conclusions

The power-law model given as equation 7 is a powerful tool for interpretation of CPE parameters for cases where the CPE response is due to an axial or normal distribution of time constants within a film. While equation 8 should in principle apply for a normal distribution of time constants, the formula provides incorrect results. Equation 8 has the advantage of being unambiguous, as every parameter required for the analysis can be obtained from regression of a CPE model to the data, but, as discussed above, it gives incorrect results for a CPE resulting from a normal distribution of time constants. For these cases, the power-law model provides correct results, but is ambiguous because the parameter rd is unknown.

Three approaches were used in the present work to resolve issues caused by the unknown parameter rd. The highest measured frequency that shows CPE behavior may be used to calculate an upper bound for the value of rd, and physical insight into the experimental system may be used to estimate a lower limit. As film thickness is weakly dependent on rd, identification of a range for rd may be useful. A conservative estimate for the range of rd associated with the data presented by Frateur et al.13 yielded an estimated layer thickness of d = 1.2 to 12.6 nm, which encompasses the value of 3 nm obtained from XPS. In other cases, the estimated range of rd is too large. If an independent assessment of film properties is possible, calibration may be used to obtain a value of rd.

The third approach is to calculate ratios that allow cancellation of the unknown quantities. In the present work, the ratio of film thicknesses was found to be in good agreement with ex-situ XPS measurements, and a ratio of dielectric constants was ascertained for skin to be in good agreement with expected values.

Acknowledgements

The authors gratefully acknowledge the support of the National Institute of Occupational Safety and Health Award No. R01 OH007493 (Bunge, White, and Orazem) and Hutchinson Technology, USA (Riemer).

Submitted: October 31, 2013

Published online: January 28, 2014

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  • Publication Dates

    • Publication in this collection
      19 Mar 2014
    • Date of issue
      Mar 2014

    History

    • Received
      31 Oct 2013
    • Accepted
      28 Jan 2014
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