Ariel L Furst1, Alexander C Hoepker1, Matthew B Francis2. 1. Department of Chemistry, University of California, Berkeley , Berkeley, California 94720, United States. 2. Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, United States; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States.
Abstract
Endocrine disrupting compounds are found in increasing amounts in our environment, originating from pesticides, plasticizers, and pharmaceuticals, among other sources. Although the full impact of these compounds is still under study, they have already been implicated in diseases such as obesity, diabetes, and cancer. The list of chemicals that disrupt normal hormone function is growing at an alarming rate, making it crucially important to find sources of contamination and identify new compounds that display this ability. However, there is currently no broad-spectrum, rapid test for these compounds, as they are difficult to monitor because of their high potency and chemical dissimilarity. To address this, we have developed a new detection strategy for endocrine disrupting compounds that is both fast and portable, and it requires no specialized skills to perform. This system is based on a native estrogen receptor construct expressed on the surface of Escherichia coli, which enables both the detection of many detrimental compounds and signal amplification from impedance measurements due to the binding of bacteria to a modified electrode. With this approach, sub-ppb levels of estradiol and ppm levels of bisphenol A are detected in complex solutions. Rather than responding to individual components, this system reports the total estrogenic activity of a sample using the most relevant biological receptor. As an applied example, estrogenic chemicals released from a plastic baby bottle following microwave heating were detectable with this technique. This approach should be broadly applicable to the detection of chemically diverse classes of compounds that bind to a single receptor.
Endocrine disrupting compounds are found in increasing amounts in our environment, originating from pesticides, plasticizers, and pharmaceuticals, among other sources. Although the full impact of these compounds is still under study, they have already been implicated in diseases such as obesity, diabetes, and cancer. The list of chemicals that disrupt normal hormone function is growing at an alarming rate, making it crucially important to find sources of contamination and identify new compounds that display this ability. However, there is currently no broad-spectrum, rapid test for these compounds, as they are difficult to monitor because of their high potency and chemical dissimilarity. To address this, we have developed a new detection strategy for endocrine disrupting compounds that is both fast and portable, and it requires no specialized skills to perform. This system is based on a native estrogen receptor construct expressed on the surface of Escherichia coli, which enables both the detection of many detrimental compounds and signal amplification from impedance measurements due to the binding of bacteria to a modified electrode. With this approach, sub-ppb levels of estradiol and ppm levels of bisphenol A are detected in complex solutions. Rather than responding to individual components, this system reports the total estrogenic activity of a sample using the most relevant biological receptor. As an applied example, estrogenic chemicals released from a plastic baby bottle following microwave heating were detectable with this technique. This approach should be broadly applicable to the detection of chemically diverse classes of compounds that bind to a single receptor.
Endocrine disrupting chemicals (EDCs)
are increasingly identified
as potent and pervasive risks to human health. They enter the environment
through numerous human activities, including pesticide use, agriculture,
and fracking, and they are found in consumer products such as plastic
kitchen products and food can linings.[1−3] EDCs are especially dangerous
because they are harmful at very low concentrations (picomolar to
nanomolar), particularly to fetuses and newborns,[4−8] and they are implicated in increased occurrences
of obesity, diabetes, infertility, and cancer.[9−11] The rapid and
sensitive detection of these chemicals is therefore vital, ideally
using equipment that is portable and inexpensive. Unfortunately, these
compounds are particularly difficult to measure because they are not
defined by a common chemical structure, but instead by their activity.[12,13] To address this obstacle, we have developed a new detection paradigm
for the sensitive, broad-spectrum detection of EDCs based on a native
estrogen receptor alpha (ERα) construct expressed on the surface
of Escherichia coli. These engineered bacterial sensors
enable the detection of many detrimental compounds as well as signal
amplification from impedance measurements as they bind to modified
electrodes. Rather than responding to individual components, this
approach reports the total estrogenic activity of a sample using the
biological receptor itself. Additional features of this sensing strategy
include sample volumes of only 10 μL, rapid response rates,
and the use of low-cost, disposable electrodes. As such, it is the
first broad-spectrum EDC assay that is appropriate for field use.The current standards for EDC detection are cell-based assays (originally
the E-SCREEN assay[14] and, more recently,
transactivation assays[15,16] and yeast-based assays[17,18]) and radioactive[19] and fluorescent competition
assays.[20,21] The cell-based transactivation involves
the transcription of a reporter gene, such as a luciferase gene, following
the addition of the compound in question. While effective, this analytical
method is problematic for rapid, point-of-care application, as it
can require multiple days of cell culture, specialized equipment,
and trained laboratory personnel. Similar problems arise with fluorescent
polarization assays, in which fluorescently labeled 17β-estradiol
is displaced from specific antibodies by estrogenic compounds. This
method requires several conjugation reactions and optimization steps,
and a specialized fluorometer is necessary for measurement. As alternatives,
efforts have been made to develop rapid EDC detectors, including both
fluorescent and electrochemical sensors.[2,22] While these
platforms have had success in detecting specific compounds or chemical
families, most are based on the binding of a single type of small
molecule to a particular antibody or DNA aptamer, precluding broad
detection of estrogenic activity (EA). Furthermore, antibodies can
introduce cost and storage difficulties, and many platforms require
analyte labeling with an electrochemical probe or fluorophore for
detection.The approach described herein is based on a novel
electrochemical
sandwich assay (Figure a) and involves the use of lyophilized E. coli to
cause changes in the surface impedance upon binding. Several unique
aspects of this strategy enable the detection of a range of estrogenic
compounds at exceptionally low concentrations. The E. coli surfaces are engineered to display the ERα capture agent,
which facilitates detection of any compounds that associate with its
binding pocket.[23] The use of lyophilized E. coli limits their viability and increases storage life.
The second component of the sandwich assay is an electrochemical working
electrode modified with a previously reported protein that binds to
ERα only when a ligand is present.[24,25] This protein is attached through the interactions of a cysteine
thiol with a disposable gold electrode surface (Figure b). The specificity of the monobody is observable
by scanning electron microscopy of the working electrode surfaces.
In the presence of estradiol (E2), E. coli was observed
on the surface, while in the absence of E2, no E. coli bound the surface (Figure c,d).
Figure 1
Overview of the electrochemical sandwich assay. (a) Monobodies
assembled on a gold electrode surface capture EDCs bound to estrogen
receptor α (ERα) that is surface expressed on E. coli. The binding of the large bacterial cells is easily
detected by impedance spectroscopy. (b) The device is constructed
on disposable electrodes and requires a 10 μL sample volume.
Scanning electron microscopy images are shown for the monobody-modified
gold electrode surface treated with lyophilized E. coli (c) in the absence of estradiol and (d) in the presence of 10 μM
estradiol. Scale bars represent 1 μm.
Overview of the electrochemical sandwich assay. (a) Monobodies
assembled on a gold electrode surface capture EDCs bound to estrogen
receptor α (ERα) that is surface expressed on E. coli. The binding of the large bacterial cells is easily
detected by impedance spectroscopy. (b) The device is constructed
on disposable electrodes and requires a 10 μL sample volume.
Scanning electron microscopy images are shown for the monobody-modified
gold electrode surface treated with lyophilized E. coli (c) in the absence of estradiol and (d) in the presence of 10 μM
estradiol. Scale bars represent 1 μm.
Results and Discussion
The use of lyophilized E.
coli as a scaffold for
the ERα protein resulted in significantly more sensitive measurements
of E2 compared to the binding of ERα alone (Figure ). The enhanced sensitivity
is due to a substantially increased impedance response from the recruitment
of the large E. coli cells to the gold surface, as
compared to the significantly smaller free protein (Figure b). Additionally, no signal
change is observed in the presence of E2 but with no E. coli or ERα added (Figure S3). Both
fresh and lyophilized E. coli were tested, and a
dependence on the number of cells used for detection was observed
(Figure S1). For lyophilized cells, the
optimal number of cells was found to be 104/mL. The number
of ERα proteins surface expressed on fresh E. coli was determined to be approximately 70,000 using a fluorescent coumarin–E2
conjugate,[26] while on the lyophilized E. coli it was slightly lower (50,000/cell) (Figure S2). This level of surface expression
is expected, as the maximum number of ice nucleation proteins that
were fused to ERα is on the order of 100,000.[27,28] Fresh E. coli resulted in a small impedance response
as compared to the lyophilized cells (Figure b) likely due to their motility, which reduces
their binding to the electrode surface. This hypothesis was supported
by comparing detection with E. coli killed with sodium
azide to E. coli rendered nonviable, but alive and
motile, by a low dose of chloramphenicol. The chloramphenicol-treated E. coli behaved as the untreated, live E. coli, and the sodium azide treated cells behaved similarly to the lyophilized
cells (Figure S3). Consistent with this
behavior, no E. coli from a live sample were observed
on electrodes by electron microscopy.
Figure 2
Electrochemical sandwich assay for endocrine
disrupting compounds
(EDCs). (a) Nyquist plots of estradiol detection with the platform
at concentrations ranging from 0 pM to 10 uM, along with the CPE fits
used to determine the charge transfer radius (RCT). (b) Estradiol concentration dependent RCT for ERα (blue), ERα on live E.
coli (red), and ERα on lyophilized E. coli (black). Error bars represent the SD for n = 3
replicates.
Electrochemical sandwich assay for endocrine
disrupting compounds
(EDCs). (a) Nyquist plots of estradiol detection with the platform
at concentrations ranging from 0 pM to 10 uM, along with the CPE fits
used to determine the charge transfer radius (RCT). (b) Estradiol concentration dependent RCT for ERα (blue), ERα on live E.
coli (red), and ERα on lyophilized E. coli (black). Error bars represent the SD for n = 3
replicates.Detection of the binding
event was accomplished with electrochemical
impedance spectroscopy (EIS) in ferricyanide/ferrocyanide solution.
This technique is rapid (providing readout in minutes), sensitive,
and label-free.[29,30] Nyquist plots were generated
from each EIS scan performed, and the data were fit to a constant
phase element (CPE) circuit model (Figure a). The charge transfer resistance (RCT) was derived from the CPE fits and was found
to be proportional to the amount of ERα bound to the electrode
and, therefore, the amount of substrate present. Using RCT as a proxy for the concentration of substrate, we were
able to detect 500 pM E2 with a large linear range of detection up
to 10 μM (Figure b). As the required sample volume is especially low (10 μL),
we were able to detect femtomoles of estradiol at the detection limit.The system was found to be especially versatile, with detection
of chemicals that have disparate chemical structures but similar bioactivity.
The EDCs tested that bind ERα are 4-nonylphenol (4-NP), genistein
(GEN), diethylstilbestrol (DES), and bisphenol A (BPA). Progesterone
(P4) was used as a negative control, as P4 is not a substrate for
ERα binding. In Figures and 4a (turquoise), each EDC was tested
over a range of concentrations selected on the basis of their respective
IC50 values (shown as vertical lines). All agonists tested
(4-NP, GEN, DES, and BPA) produced linear responses over an extended
concentration range, with increasing RCT as EDC concentration increased. Some nonlinearity was observed at
low concentrations of GEN, which could be due to complexities in the
ternary complex formation. For DES, reduced linearity was observed
as the detection limit was approached. Each of these compounds was
detectable at exceptionally low concentrations, and most could be
quantified below their IC50 values. DES was detectable
to concentrations ten times its IC50 value. Unlike the
EDCs that bind ERα, this platform shows no response to progesterone,
indicating its specificity for estrogenic compounds. Similarly, this
platform showed no response to the antagonist tamoxifen (TAM), indicating
that the conformation of the ERα–antagonist complex does
not bind the monobody on the electrode surface (Figure S5).
Figure 3
Endocrine disrupting compound concentration dependent RCT for ERα on lyophilized E. coli with compounds that bind ERα: 4-nonylphenol (4-NP, top left),
genistein (GEN, top right), and diethylstilbestrol (DES, bottom left).
Progesterone, which does not bind ERα, shows no RCT response (bottom right). Error bars represent the SD
for n = 3 replicates.
Figure 4
EDC detection from complex solutions. (a) Endocrine disrupting
compound concentration dependent RCT for
ERα on lyophilized E. coli with BPA in buffer
(turquoise) and in infant formula (purple). (b) Combinations of BPA,
4-NP, DES, and GEN with comparable estradiol concentrations (black).
Each solution contains 50% of one EDC, with 16.67% of each of the
other three EDCs (where 100% would represent the known IC50 concentration) . Samples with 50% BPA (dark blue), 50% 4-NP (turquoise),
and 50% DES (green) are shown. (c) Estrogenicity of plastic (red)
and glass (blue) baby bottles before and after microwaving. Error
bars represent the SD for n = 3 replicates.
Endocrine disrupting compound concentration dependent RCT for ERα on lyophilized E. coli with compounds that bind ERα: 4-nonylphenol (4-NP, top left),
genistein (GEN, top right), and diethylstilbestrol (DES, bottom left).
Progesterone, which does not bind ERα, shows no RCT response (bottom right). Error bars represent the SD
for n = 3 replicates.EDC detection from complex solutions. (a) Endocrine disrupting
compound concentration dependent RCT for
ERα on lyophilized E. coli with BPA in buffer
(turquoise) and in infant formula (purple). (b) Combinations of BPA,
4-NP, DES, and GEN with comparable estradiol concentrations (black).
Each solution contains 50% of one EDC, with 16.67% of each of the
other three EDCs (where 100% would represent the known IC50 concentration) . Samples with 50% BPA (dark blue), 50% 4-NP (turquoise),
and 50% DES (green) are shown. (c) Estrogenicity of plastic (red)
and glass (blue) baby bottles before and after microwaving. Error
bars represent the SD for n = 3 replicates.In contaminated systems, EDCs
rarely occur as a single compound.
Rather, they are often mixed, providing an aggregate effect. The combined
interaction of all the EDCs present with the ERα protein yields
a response that can be benchmarked as a concentration of the native
substrate, E2, that would produce similar activity. This equivalent
response is termed the “estrogenic activity” (EA) of
the solution. The sensor was therefore evaluated for its ability to
determine EA of complex mixtures. The EDCs previously measured (BPA,
4-NP, DES, and GEN) were combined and compared with comparable estradiol
concentrations. Each solution contained 50% of one EDC (relative to
its IC50 value), with 16.67% of each of the other three
EDCs. The absolute concentrations of the components appear in Table S1. The RCT values for the combined EDCs were compared to the equivalent concentration
of E2 as a measure of the EA of the solution. Independent of the ratio
of EDCs in the solution, the RCT was found
to be comparable to the equivalent concentration of E2 (Figure b). This platform therefore
shows the distinct advantage of providing a readout of the total EA
from a complex mixture of components even when their specific identities
are unknown.Importantly, this approach enables detection of
target compounds
present in complex mixtures of proteins and small molecules. As EDCs
are especially deleterious for proper development, their presence
has been especially problematic in infant products. As one relevant
example, the detection of BPA was evaluated in infant formula (Figure a). BPA was added
to reconstituted formula from a commercial source in varying concentrations.
The ability of the system to detect BPA was linear above the IC50 value, despite the addition of protein, lipid, and small
molecule components. Below this concentration, the signal was indistinguishable
from background, likely due to surface passivation from proteins in
the formula.As a final experiment, we evaluated the ability
of the system to
detect EA from an everyday source without prior knowledge of the contaminants.
In the literature, E-SCREEN assays have shown that certain “BPA-free”
plastic baby bottles release EDCs upon microwave heating.[31] We sought to replicate this experiment using
the faster and lower volume electrochemical assay described herein.
Prior to microwave heating the plastic bottle, the buffer had no observable
EA. However, after microwaving for ten 2 min periods, the buffer in
the plastic bottle had significant EA, comparable to 100 nM E2. In
contrast, the buffer in a glass bottle contained no EA before or after
microwaving (Figure c).Through this work, we have developed a new approach for
determining
the estrogenic activity of endocrine disrupting compounds. By combining
impedance spectroscopy based detection with the signal amplification
provided by a lyophilized E. coli scaffold, large
responses in the charge transfer resistance of the electrode are observed,
even in the presence of sub-ppb estradiol. The system provides the
first reported sensor that responds broadly to all EDCs, and since
it is based on inexpensive disposable electrode technology, it can
be used in the field. The 10 μL sample size is far smaller than
that needed for cell-based growth assays, and the readout is available
in minutes, not days. Furthermore, the application of lyophilized E. coli as a scaffold for our protein provides a new method
of signal amplification, and is crucially important for reaching the
low detection limits that these compounds require. The system also
shows promising compatibility with complex sample matrices, such as
infant formula. This new sensing approach should be applicable to
other diverse families of compounds that bind to a single receptor,
such as PPARγ, and current efforts in our laboratory are exploring
these possibilities.
Methods
Plasmid Preparation
Monobody
Encoding pSKB3 Vector
The gene encoding for
the ERα-estradiol selective monobody protein, a sequence adapted
from Koide et al.,[19,20] was synthesized by IDT Technologies
with BamHI and XhoI restriction
sites at the 5′- and 3′-ends and subcloned into a pSKB3
vector—a variation of Novagen’s pET-28a vector with
the thrombin site exchanged for a TEV proteolysis site. The insert
and vector backbone were double digested (BamHI/XhoI), heat inactivated at 80 °C for 5 min, ligated
with QuickLigase (NEB) at a 5:1 molar ratio, and transformed into
XL1Blue competent cells. Plating on kanamycinagar plates yielded
individual colonies, which were cultured, DNA purified (NucleoSpin,
MacheryNagel), and sequenced (Quintara BioSciences).
INPNC-ERα
Encoding pSKB3 Vector
The synthetic
gene (IDT Technologies) of ERα (organism, Homo sapiens; gene, ESR1, accession number P03372; residue number, 301–552)
was subcloned with NheI and NotI
restriction sites at the 5′- and 3′-ends into a pSKB3
vector containing an N-terminal maltose binding protein (MBP). The
resulting vector furnished the following amino acid sequence: MASS-(His)6-TEV-MBP-Linker-ERα (where “Linker” =
N10-LGASGSG).The gene insert coding for the
ice nucleation protein with the NC-terminal fusion (INPNC: fusion
of the N-terminal membrane domain INPN and the C-terminal
extracellular domain INPC) was synthesized by IDT Technologies
with Nco1 and Nhe1 restriction sites
at the 5′- and 3′-sites and was subcloned into the MBP-ERα
pSKB3 vector above. The MBP gene was removed in the process. The resulting
vector encodes for the following amino acid sequence: MAA-INPN-RS-INPC-SSN10LGASGSG-ERα.
The INPNC insert and vector backbone were double digested (NcoI/NheI), heat inactivated at 65 °C
for 15 min, ligated with QuickLigase (NEB) at a 5:1 molar ratio, and
transformed into XL1Blue competent cells. Plating on kanamycinagar
plates yielded individual colonies, which were cultured, DNA purified
(NucleoSpin, MacheryNagel), and sequenced (Quintara BioSciences).
Protein Expression and Purification
Plasmids were transformed
into E. coli BL21 (DE3) competent cells. Starter
cultures (20 mL of LB, 50 mg/L kanamycin) were grown from single colonies
overnight at 37 °C and used to inoculate 1 L of TB medium (50
mg/L kanamycin). Cultures were grown to an OD ∼ 0.5, cooled
to 25 °C for 20 min, induced with 0.5 mM IPTG, and expressed
overnight (18 h) at 25 °C. Cells were harvested by centrifugation
for 15 min at 4000 rcf at 4 °C. The protein was purified directly
without freezing.
Purification of Monobody Protein
The pellet was transferred
to PBS buffer and centrifuged for 10 min at 4300 rcf. The resulting
pellet was lysed in 30 mL of lysis buffer, referred to hereafter as
buffer B (20 mM bicine, pH 8.5, 500 mM NaCl, 10 mM imidazole), supplemented
with one tablet of EDTA-free SigmaFast Protease Inhibitor (Sigma-Aldrich),
5 mM PMSF, and 2 mg of lysozyme. Without incubation, the resuspension
was lysed with an Avestin C3 homogenizer followed by a 20 min centrifugation
at 24,000 rcf at 4 °C. The supernatant was filtered through a
40 μm Steriflip filter (Millipore) and loaded onto a 5 mL NiNTA
column (Protino, Machery Nagel) connected to an Akta purifier preequilibrated
with buffer B. The column was washed with 50 mL (10 column volumes)
of 20 mM bicine (pH 8.5), 500 mM NaCl, 10 mM imidazole, 10 mM β-ME.
The protein was eluted with 20 mM bicine (pH 8.5), 500 mM NaCl, 250
mM imidazole, 10 mM β-Me. Imidazole was removed by exchanging
against 20 mM bicine (pH 8.5), 500 mM NaCl, with a 10DG desalting
column (BioRad). For purposes of lyophilization, the protein was directly
exchanged against 20 mM bicine (pH 8.5) and 100 mM trehalose, followed
by flash freezing with liquid N2 and lyophilization (Labconco)
overnight. Typical protein yields are 800 μM (3 mL total) from
a 1 L culture, with a purity of ∼98% by SDS–PAGE and
LC–MS (ESI-TOF) (6224 TOF and 1200 series HPLC, Agilent Technologies).
Expression of Cell Surface Displayed INPNC-ERα
INPNC-ERα
was expressed from single BL21 colonies. The proteins
were grown in 50 mL of TB in the presence of 50 mg/L kanamycin. At
an OD600 ∼ 0.5 the culture was equilibrated to 25
°C for 20 min, induced with 0.5 mM IPTG, and expressed overnight
(18 h) at 25 °C. The cells were centrifuged for 5 min at 4000
rcf and resuspended either in M9 minimal medium for direct use or
in 20 mM HEPES (pH 7.5) with 100 mM trehalose for lyophilization. E. coli cells were lyophilized by flash freezing 100 μL
aliquots in liquid nitrogen at an OD600 ∼ 0.1. The
lyophilized samples were stored at either −20 °C or −80
°C. Sodium azide (NaN3) treated cells were incubated
with 5 mg/mL NaN3 to induce toxicity. Chloramphenicol-treated
cells were incubated with 10 μg/mL of chloramphenicol for 30
min, a concentration below toxicity but sufficient to inhibit protein
synthesis.
Cell Viability of Lyophilized E.
coli Cultures
The lyophilized sample produced from
100 μL at OD600 = 0.1 was dissolved in 600 μL
of M9 minimal medium, and 125
μL volumes were streaked onto kanamycinagar plates. No colonies
were observed after 24 h; colonies observed after 48 h were counted
and compared against equivalently plated cells streaked from glycerolstocks.
Reconstitution of E. coli Cells
Aliquots
of E. coli were reconstituted by dissolution in 100
μL of 20 mM HEPES (pH 7.5) to an OD of 0.1. Cells were incubated
on ice for 20 min prior to further dilution.
Determination of Surface-Expressed
ERα
An estradiol–coumarin
conjugate (prepared as described in ref (21)) was added to a final concentration of 10 μM
to either freshly harvested or lyophilized E. coli at an OD600 of 0.01 in M9 medium. Following a 20 min
incubation, cells were purified from unbound E2–coumarin by
spin filtration (10K; 5 min, 5000 rcf). The fluorescence of the E2–coumarin
labeled cells was measured and compared to a standard curve of estradiol–coumarin
fluorescence in M9 medium. Using the concentration of estradiol–coumarin,
the number of receptors per E. coli cell was estimated.
Electrode Preparation
Disposable gold electrodes (1.3
mm diameter, cold annealed, DropSens) were preliminarily prepared
in 0.5 M H2SO4 by scanning from 1.3 V to −0.2
V (vs internal reference, 100 mV scan rate, 9 scans). Electrodes were
subsequently washed with Milli-Q water. Lyophilized monobody was diluted
in 20 mM HEPES, 300 mM NaCl (pH 7.5) to a final concentration of 50
μM. A 10 μL portion was added to the electrode surface.
Electrodes were placed in humidifier boxes and incubated overnight
at 4 °C. Prior to detection using the monobody-modified electrodes,
the electrodes were rinsed with 3 aliquots of 100 μL of 20 mM
HEPES (pH 7.5).
Incubation of Analytes
Following
reconstitution of
lyophilized E. coli samples, the cells were diluted
to the desired final concentration (104 cells/mL, although
cells were tested at concentrations ranging from 103 to
107) in 20 mM HEPES (pH 7.5). For the detection of single
endocrine disrupting chemicals (estradiol, DES, GEN, BPA, or 4-NP),
the chemical was dissolved in DMSO to a 1000× dilution of the
final concentration, such that the concentration of DMSO was constant
at 0.1% v/v in solution with E. coli, including negative
controls (in which either no cells or no EDC was added).The
EDC of interest was incubated with the E. coli for
20 min in solution prior to application to the electrode. A 10 μL
portion of the E. coli solution containing the analyte
compounds was then added to the electrode surface. E. coli solutions were incubated on the electrode surface for 20 min at
ambient temperature in a humidifier box. The electrodes were subsequently
rinsed with 3 aliquots of 100 μL of 20 mM HEPES (pH 7.5).
Electrochemical Impedance Spectroscopy
Electrochemical
impedance spectroscopy (EIS) was performed with a Gamry Reference
600 potentiostat. The buffer consisted of 4 mM each of K3Fe(CN)6/K4Fe(CN)6 in 0.1 M KCl.
Electrochemical measurements were acquired at the open circuit potential
of the electrode and measured for 60 s prior to EIS. EIS measurements
were made from 50,000 to 0.2 Hz with 10 points per decade and a 10
mV ac voltage. Electrochemical data analysis, including circuit modeling,
was performed using the Gamry Echem Analyst software. Charge transfer
resistance (RCT) was derived from a constant
phase element (CPE) with diffusion circuit model fit.
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Authors: Sarah H Klass; Laura E Sofen; Zachary F Hallberg; Tahoe A Fiala; Alexandra V Ramsey; Nicholas S Dolan; Matthew B Francis; Ariel L Furst Journal: Chem Commun (Camb) Date: 2021-03-09 Impact factor: 6.065