Alexander Wiorek1, Maria Cuartero1, Gaston A Crespo1. 1. Department of Chemistry, School of Engineering Science in Chemistry, Biochemistry and Health, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden.
Abstract
We present a phenomenon consisting of the synergistic effects of a capacitive material, such as carbon nanotubes (CNTs), and an ion-selective, thin-layer membrane. CNTs can trigger a charge disbalance and propagate this effect into a thin-layer membrane domain under mildly polarization conditions. With the exceptional selectivity and the fast establishment of new concentration profiles provided by the thin-layer membrane, a selective ion capture from the solution is expected, which is necessarily linked to the charge generation on the CNTs lattice. As a proof-of-concept, we investigated an arrangement based on a layer of CNTs modified with a nanometer-sized, potassium-selective membrane to conform an actuator that is in contact with a thin-layer aqueous solution (thickness of 50 μm). The potassium ion content was fixed in the solution (0.1-10 mM range), and the system was operated for 120 s at -400 mV (with respect to the open circuit potential). A 10-fold decrease from the initial potassium concentration in the thin-layer solution was detected through either a potentiometric potassium-selective sensor or an optode confronted to the actuator system. This work is significant, because it provides empirical evidence for interconnected charge transfer processes in CNT-membrane systems (actuators) that result in controlled ion uptake from the solution, which is monitored by a sensor. One potential application of this concept is the removal of ionic interferences in a sample by means of the actuator to enhance precision of analytical assessments of a charged or neutral target in the sample with the sensor.
We present a phenomenon consisting of the synergistic effects of a capacitive material, such as carbon nanotubes (CNTs), and an ion-selective, thin-layer membrane. CNTs can trigger a charge disbalance and propagate this effect into a thin-layer membrane domain under mildly polarization conditions. With the exceptional selectivity and the fast establishment of new concentration profiles provided by the thin-layer membrane, a selective ion capture from the solution is expected, which is necessarily linked to the charge generation on the CNTs lattice. As a proof-of-concept, we investigated an arrangement based on a layer of CNTs modified with a nanometer-sized, potassium-selective membrane to conform an actuator that is in contact with a thin-layer aqueous solution (thickness of 50 μm). The potassium ion content was fixed in the solution (0.1-10 mM range), and the system was operated for 120 s at -400 mV (with respect to the open circuit potential). A 10-fold decrease from the initial potassium concentration in the thin-layer solution was detected through either a potentiometric potassium-selective sensor or an optode confronted to the actuator system. This work is significant, because it provides empirical evidence for interconnected charge transfer processes in CNT-membrane systems (actuators) that result in controlled ion uptake from the solution, which is monitored by a sensor. One potential application of this concept is the removal of ionic interferences in a sample by means of the actuator to enhance precision of analytical assessments of a charged or neutral target in the sample with the sensor.
Carbon nanotubes (CNTs) are
among the most widely used ion-to-electron transducers in potentiometric
sensors based on ion-selective membranes (ISMs). Here, the double
layer capacitance of the CNTs is known to stabilize the inner interfacial
potentials of the ISMs, which minimizes potential drifts in the potentiometric
response.[1] On the basis of a similar mechanism,
in which a double layer is formed with the participation of ions in
the adjacent phase, CNTs have also been utilized for the capacitive
deionization of water.[2] More specifically,
differently functionalized CNTs have demonstrated the capability for
reversible ion uptake from saline waters.[2,3] By
simply charging the CNTs through an applied potential, desalination
of the sample by electrosorption of ions at the CNT–sample
interface occurs.Some of the CNT materials used for desalination
have been classified
as “ion specific”, in reference to the charge of the
ion instead of the nature of the ion species.[3] This kind of specificity is, indeed, exceeded by the selectivity
of receptors traditionally used as ionophores in ISMs, which have
not only charge specificity but are selective for only a single cation
or anion species.[4] Here, we aim to combine
the fundamental principal of ion selectivity used in ISMs with the
capacitive-based ion uptake concept employed in desalination technology.
This CNT–ISM tandem is expected to provide a selective and
controlled uptake of any ion in the sample, which could be particularly
useful for removing/decreasing ionic interferences in a sample when
performing analytical electrochemical or optical readouts. In addition,
when the ion uptake process is demonstrated in a thin-layer sample
(∼100
μm of thickness), a coulometric sensing approach is expected.Figure a shows
the mechanism for an actuator composed of an electrode modified with
carboxylic acid-functionalized CNTs (COOH–CNTs, drop-casted
layer), which, in turn, are covered with a spin-coated ISM (ca. 200
nm thick).[5] The ISM is cation selective
and contains an ionophore (L), a cation exchanger (Na+R1–), and a lipophilic salt (R2+R3–). Importantly, L is
present in excess with respect to Na+R1–. The actuator is in contact with a thin-layer aqueous
solution containing both the cation for which the membrane is selective
(I+) and also other cations (J+). Initially,
the system is composed of all unpolarized phases, and therefore, partitioning
of ions among samples, ISMs, and CNTs is expected to be at equilibrium,
representing a net zero change in concentration at either side of
the sample–membrane or membrane–CNT interfaces. Notably,
the Na+ in the membrane is replaced by I+ upon
first contact with the solution in a superfast conditioning step (∼20
ms).[6]
Figure 1
(a) Mechanism for ion uptake in the actuator.
(b) Experimental
setup where the sensor is potentiometric. (c) Microfluidic cell for
the sensor and actuator system, where the sensor is potentiometric.
(d) Microfluidic cell for the sensor and actuator system, where the
sensor is an optode. ISM = ion-selective membrane; CNTs = carbon nanotubes;
WE = working electrode; CE = counter electrode; RE = reference electrode;
C = carbon; PS = power supply; EMF = electromotive force, compounds
A– = anion, I+ = cation, R1– = anion of the cation exchanger, R2+,R3– = lipophilic salt,
L = ionophore, C = carbon electrode; (1) nuts and screws, (2) top
electrode holder, (3) rubber and adhesive, (4) actuator, (5) 0.50
mm rubber spacer, (6) 450 μm mask with a membrane, (7) potentiometric
sensor, (8) bottom electrode holder with inlet and outlet with corresponding
tubings, (9) top electrode holder with a conical opening for the light
path, (10) membrane optode, (11) transparent actuator, (12) bottom
electrode holder with hole for light path (inlet and outlet), (13)
light detector, and (14) light source.
(a) Mechanism for ion uptake in the actuator.
(b) Experimental
setup where the sensor is potentiometric. (c) Microfluidic cell for
the sensor and actuator system, where the sensor is potentiometric.
(d) Microfluidic cell for the sensor and actuator system, where the
sensor is an optode. ISM = ion-selective membrane; CNTs = carbon nanotubes;
WE = working electrode; CE = counter electrode; RE = reference electrode;
C = carbon; PS = power supply; EMF = electromotive force, compounds
A– = anion, I+ = cation, R1– = anion of the cation exchanger, R2+,R3– = lipophilic salt,
L = ionophore, C = carbon electrode; (1) nuts and screws, (2) top
electrode holder, (3) rubber and adhesive, (4) actuator, (5) 0.50
mm rubber spacer, (6) 450 μm mask with a membrane, (7) potentiometric
sensor, (8) bottom electrode holder with inlet and outlet with corresponding
tubings, (9) top electrode holder with a conical opening for the light
path, (10) membrane optode, (11) transparent actuator, (12) bottom
electrode holder with hole for light path (inlet and outlet), (13)
light detector, and (14) light source.The application of a negative potential step is expected to negatively
charge the CNTs (i.e., increasing/changing the surface charge), and
to comply with the electroneutrality condition, a net flux of the
cation (I+) from the sample solution to the membrane is
expected. This latter ion transfer is facilitated by the ionophore,
being selective for only one cation (i.e., I+ but not J+). In essence, the ISM converts the CNTs into an ion-selective
capturer via a capacitive mechanism, wherein only one ion species
is taken up from the sample. In principle, any species with positive
charge that is present in the membrane (i.e., R2+, I+ and/or IL+) could participate in the stabilization
of the charged CNTs at the buried interface. One way to shed light
on the relative engagement of each species would be with argon-based
ion depth profiling coupled to synchrotron radiation-X-ray photoelectron
spectroscopy (SR-XPS), which has demonstrated the necessary spatial
resolution to determine concentration profiles in nanometer-sized
membranes.[5] However, such experiments are
beyond the scope of this letter.The strategy of tuning ion-transport
processes across ISMs in backside
contact with a chargeable ion-to-electron transducer has been applied
through the use of different materials, such as CNTs, conducting polymers,
and capacitive materials (mesoporous carbon), generating electroanalytical
readouts that include voltammetry, chronoamperometry, and coulometry.[7−11] In coulometry, charge transport of the ion from the sample to the
solid contact has been suggested for obtaining the ion activity in
the sample solution. To the best of our knowledge, none of the reported
concepts have been applied together with thin-layer samples but rather
in bulk solutions. Furthermore, the reported putative mechanism has
not yet been confirmed by side in situ techniques capable of monitoring
concentration changes in the solution owing to the ion-transfer process,
a limitation addressed by the present work.Figure b illustrates
the setup for the concept proposed herein. In this setup, the sample
is sandwiched between two working electrodes. One electrode behaves
as the actuator (for controlled ion uptake), and the other behaves
as a sensor (to monitor any change in ion concentration in the solution).
The separation between electrodes is designed so as to provide a thin-layer
domain for the sample (∼50 μm of thickness). As a proof-of-concept,
the actuator is composed of a potassium-selective membrane (details
provided in Supporting Information), and
thus, selective potassium uptake from the sample solution is expected,
which is to be followed by a potentiometric potassium-selective electrode
confrontationally positioned.Figure c illustrates
each part of the microfluidic cell, configured to allocate the actuator–sample–sensor
setup. In addition, top and bottom views of the assembled cell are
provided. Both the actuator and sensor are realized as screen-printed
electrodes modified with CNTs and ISMs for potassium, as described
in the Supporting Information. The actuator
is the working electrode of a three-electrode system (together with
reference and counter electrodes), and it is activated by applying
a constant potential of −400 mV (with respect to the open circuit
potential, OCP) for 120 s by means of a potentiostat. The sensor works
on the basis of potentiometry, which together with its corresponding
reference electrode are connected to a potentiometer. Remarkably,
the ion-uptake principle could be expanded to any other ion by tuning
the membrane compositions, primarily by changing the ionophore. The
rest of the parts of the cell ensure the appropriate positioning of
the sensors, as well as the sample introduction and exchange in the
thin-layer compartment. Importantly, the microfluidic cell may be
slightly modified to integrate an optical sensor rather than a potentiometric
one, as illustrated in Figure d (see also Figure S1, Supporting Information). Transparent substrates for the actuator and sensor, together with
an adequate optical path, are necessary for such a purpose. In this
letter, we used both potentiometric and optical readouts to confirm
K+ uptake from the sample to the membrane.First,
we followed the K+ uptake in a 1 mM KCl solution,
using the setup and cell with the potentiometric sensor (Figure b and c, respectively).
The experiment was designed to monitor the signal before, during,
and after the activation of the actuator through the application of
a constant potential of −400 mV (respect to the OCP) for 120
s in 1 mM KCl solution. The potential displayed by the sensor (electromotive
force, EMF) is converted into K+ concentration by means
of a previous calibration graph (Figure S2). Under the described conditions, we compared the results provided
by two different actuators: one with and one without the CNTs layer.
As shown in Figure , the presence of CNTs in the actuator is necessary to observe a
decrease in the K+ concentration in the thin-layer sample.
Thus, as predicted in our hypothesis (Figure a), the charge disbalance promoting the ion
transfer from the solution to the membrane is intrinsically generated
by the CNTs, and this occurs only once the actuator is activated at
a certain potential. Accordingly, the K+ concentration
in the sample remained invariant until the application of the potential
in the CNT-based actuator (after 50 s from experiment initiation).
Then, it took ∼13 s for the K+ concentration to
decrease from 1 to 0.1 mM (corresponding to a change in the initial
potential of 60 mV), which then remained stable until the applied
potential ceased. Finally, the K+ concentration tended
to spontaneously increase up to the initial level because of the reversibility
of the actuator. This process usually took approximately 15 min, across
experimental replicates under identical conditions. Moreover, subsequent
experiments performed after replacing the solution inside the microfluidic
cell with fresh 1 mM KCl solution revealed that the K+ uptake
process is, indeed, reproducible (Figure S3, Supporting Information), obtaining a final K+ concentration
of 0.094 ± 0.016 mM (n = 3) in the sample.
Figure 2
Concentration–time
profiles for K+ in 1 mM KCl
solution before, during, and after the activation of the actuator
prepared with and without CNTs. The gray area in the plot represents
the activation of the actuator (−0.4 V with respect to the
OCP, for 120 s), and the arrows indicate activation of the peristaltic
pump to regenerate the baseline for initiation of a new experiment.
Concentration–time
profiles for K+ in 1 mM KCl
solution before, during, and after the activation of the actuator
prepared with and without CNTs. The gray area in the plot represents
the activation of the actuator (−0.4 V with respect to the
OCP, for 120 s), and the arrows indicate activation of the peristaltic
pump to regenerate the baseline for initiation of a new experiment.Turning now to the time required for the sensor
to report K+ uptake from the sample, it seems that the
13 s needed to
observe the total decrease in K+ concentration (Figure ) does not purely
correspond to the K+ uptake per se but
rather is likely affected by the response time of the sensor itself.
The expected time for K+ depletion in the thin-layer sample
can be theoretically estimated as follows. Briefly, Fick’s
law is applied for the diffusion between equidistant elements in the
thin layer sample (Figure S4a).[12] Assuming that the kinetics for charge transfer
across the sample–ISM interface is neglectable, the time for
K+ depletion in the solution will be limited by the diffusion
across the thin layer domain, which was estimated to be ca. 3 s, as
detailed in the Supporting Information (Figure S4b and c). On the other hand, the response time (t95) for the sensor was between 3 and 8 s within the linear
range of response (0.01–10 mM).When the ion-selective
membrane in the actuator did not contain
any ionophore (composition provided in Table S1, Supporting Information), the potassium uptake was found to
be only from 1 to 0.50 mM after the 120 s of activation of the actuator
(black line in Figure S5). In the case
of a membrane without the lipophilic salt (R2+R3– = ETH500, Table S1), potassium uptake from 1 to 0.34 mM was observed (Figure S5, red line). These experiments confirmed
that both the ionophore and the lipophilic salt are necessary to maximize
K+ uptake. Impedance spectroscopy and cyclic voltammetry
using membranes with ETH500 demonstrated a decrease in the membrane’s
bulk resistance (Figures S6 and S7). Finally,
the requirement for the cation exchanger (Na+R1– = NaTFPB) was confirmed by comparison to a control
membrane that did not contain this compound (composition provided
in Table S1). In that experiment, the ion
uptake was from 1 to 0.62 mM (Figure S5, blue line).The selectivity of the ion-uptake process was
further confirmed
by a series of experiments in which the sample solution contained
either 1 mM KCl, 1 mM NaCl, or 1 mM KCl/NaCl, and ion uptake was monitored
by either a potassium- or sodium-selective electrode (detailed membrane
compositions provided in Table S2). In
a 1 mM KCl solution, K+ uptake was detected by the potassium
sensor but not by the sodium sensor (Figure S8a). In a 1 mM NaCl solution, both the potassium and sodium sensors
showed no significant change in the potential response, and thus,
no ion uptake occurred (Figure S8b). In
a 1 mM KCl + 1 mM NaCl solution, only the potassium sensor reported
a change in the response, which was identical to the response detected
in a pure 1 mM KCl solution (Figure S8c). We also performed control experiments in the presence and absence
of O2 to rule out its involvement in the charging mechanism
of CNTs by second side reactions (Figure S9).An optical potassium sensor (a membrane-based optode; see Supporting Information) was also used to validate
K+ uptake, using the microfluidic cell shown in Figure d. As with the potentiometric
sensor, the optode was calibrated before the actuator–sensor
experiments to convert the optical signal into dynamic K+ concentration in the thin-layer sample (Figure S10a). Notably, the change of the actuator substrate (from
a carbon-based to a transparent one) required a different applied
potential (−700 mV with respect to the OCP) because of the
change in the OCP. In addition, a longer holding time (20 min) was
applied, due to a slower response time of the optical sensor (t95 ranging from 300 to 520 s, Figure S10a). The optode showed that K+ concentration
decreased from 1 to ca. 0.2 mM (Figure S10b), which is indeed very similar to that observed with the potentiometric
sensor.The efficiency of the potassium-uptake process, defined
as the
relative reduction in K+ concentration in the sample solution,
was investigated at different KCl concentrations, ranging from 0.1
to 10 mM. Figure depicts
the dynamic concentration profiles obtained at different initial KCl
concentrations before, during, and after applying −400 mV (with
respect to the OCP) for 120 s in the actuator. In all cases, the uptake
process caused an approximately 10-fold reduction from the initial
K+ concentration. This fixed reduction, independent of
the initial K+ concentration, is likely explained by electrostatic
repulsion of the negative charges in the membrane, which could affect
the rate of cation uptake in the membrane when the concentration is
drastically lowered in the sample, thus limiting the final concentration
decrease. Moreover, we investigated any possible relationship between
the K+ concentration in the thin layer sample and the charge
generation in the actuator. The generated charge (integration of the
current profiles) showed a trend toward increasing K uptake (Figure S11). Interestingly, the charge exhibited
a linear relationship to the log of the total concentration change
within the range from 0.4 to 7 mM KCl (inset in Figure S11). While the reason for this logarithmic relationship
is not yet clear, previous studies with conducting polymers have suggested
a similar trend.[10]
Figure 3
Concentration–time
profiles observed in 0.1, 1, 5, and 10
mM KCl solution before, during, and after the activation of the actuator
prepared with and without CNTs. The gray area in the plot represents
the activation of the actuator (−0.4 V with respect to the
OCP for 120s), and the arrows indicate activation of the pump to regenerate
the baseline. Inset: magnification for the 0.1 mM KCl solution.
Concentration–time
profiles observed in 0.1, 1, 5, and 10
mM KCl solution before, during, and after the activation of the actuator
prepared with and without CNTs. The gray area in the plot represents
the activation of the actuator (−0.4 V with respect to the
OCP for 120s), and the arrows indicate activation of the pump to regenerate
the baseline. Inset: magnification for the 0.1 mM KCl solution.Finally, different types of CNTs were investigated
as part of the
actuator design, namely, COOH–CNTs, ODA-CNTs (octadodecylammonium-CNTs),
and the unmodified CNTs (details are provided in the Supporting Information). Figure presents the corresponding K+ concentration profiles. A larger uptake was observed in this order:
ODA-CNTs < COOH–CNTs < CNTs (with corresponding changes
from 1 mM KCl to 0.45, 0.1, and 0.02 mM, respectively). Additionally,
impedance spectroscopy on the different types of CNTs (Figure S12) revealed a larger capacitance in
the following order: COOH–CNTs < CNTs < ODA-CNTs (71,
2000, and 10000 μF/cm2, respectively), which is consistent
with the literature,[13,14] and suggests that other factors
in addition to the capacitance itself can explain the uptake efficiency
of the different CNTs.
Figure 4
Concentration–time profiles for potassium in 1
mM KCl solution
before, during, and after the activation of the actuator prepared
with COOH–CNTs, ODA-CNTs, and unmodified CNTs. The sensor is
a potentiometric one. The gray area in the plot represents the activation
of the actuator (−0.4 V respect to the OCP for 120 s), and
the arrows indicate when the peristaltic pump was turned on to regenerate
the baseline.
Concentration–time profiles for potassium in 1
mM KCl solution
before, during, and after the activation of the actuator prepared
with COOH–CNTs, ODA-CNTs, and unmodified CNTs. The sensor is
a potentiometric one. The gray area in the plot represents the activation
of the actuator (−0.4 V respect to the OCP for 120 s), and
the arrows indicate when the peristaltic pump was turned on to regenerate
the baseline.We hypothesize that the order
described above should be aligned
with charge generation in the CNTs, together with its stabilization
requirements, which could be dependent on the structural/packing differences
between the CNTs. For example, steric impediments should more easily
be found at the CNT–membrane interfaces when the substitution
levels in the CNTs increase, while the lower degrees of sp2-hybridization would reduce the electronic conductances of the CNTs
by lowering the charging capacities.[5] This
is likely why the unmodified CNTs exhibited a larger K+ uptake than the COOH–CNTs. Also, pi–pi interactions
leading to pi–cation–pi bonding in the CNT could be
a factor to be considered. Having demonstrated an effective K+ uptake, the observed differences could be further investigated
with the help of additional techniques, such as XPS.Overall,
the potential of the actuator–sensor system for
selective K+ uptake and its monitoring in thin-layer samples
has been demonstrated. The concept is versatile enough for key changes
in the design to permit the selective uptake of any cation or anion,
as long as a selective receptor is available. This uptake offers an
obvious application in the removal of interferences to facilitate
analytical detection in a sample, which is to be achieved by the sensor
(e.g., for electrochemical or optical readout). Further characterization
of the system interfaces by means of synchrotron radiation techniques
may help to confirm the working mechanism proposed herein.
Authors: Maria Cuartero; Josiah Bishop; Raymart Walker; Robert G Acres; Eric Bakker; Roland De Marco; Gaston A Crespo Journal: Chem Commun (Camb) Date: 2016-07-13 Impact factor: 6.222