Core-shell nanostructured hybrid composites for volatile organic compound detection.

We report a high-performance chemiresistive sensor for detection of volatile organic compound (VOC) vapors based on core-shell hybridized nanostructures of Fe3O4 magnetic nanoparticles (MNPs) and poly(3,4-ethylenedioxythiophene) (PEDOT)-conducting polymers. The MNPs were prepared using microwave-assisted synthesis in the presence of polymerized ionic liquids (PILs), which were used as a linker to couple the MNP and PEDOT. The resulting PEDOT-PIL-modified Fe3O4 hybrids were then explored as a sensing channel material for a chemiresistive sensor to detect VOC vapors. The PEDOT-PIL-modified Fe3O4 sensor exhibited a tunable response, with high sensitivity (down to a concentration of 1 ppm) and low noise level, to VOCs; these VOCs include acetone vapor, which is present in the exhaled breath of potential lung cancer patients. The present sensor, based on the hybrid nanostructured sensing materials, exhibited a 38.8% higher sensitivity and an 11% lower noise level than its PEDOT-PIL-only counterpart. This approach of embedding MNPs in conducting polymers could lead to the development of new electronic noses, which have significant potential for the use in the early diagnosis of lung cancer via the detection of VOC biomarkers.

Introduction

The early and accurate detection of lung cancer is essential to the effective treatment of patients and reduction of the mortality rate associated with the cancer disease.1–5 Among various detection methods, breath analysis has attracted significant attention owing to its noninvasive nature and simplicity. This method also has the potential to diagnose lung cancer at an early stage by detecting volatile organic compound (VOC) biomarkers in exhaled breath.6–9 As such, a number of breath-analysis tools have been developed including gas chromatography/mass spectrometry,10–14 ion flow tube mass spectrometry,15,16 chemo-luminescence sensors,17 optochemical fibers,18 infrared spectroscopy,19 and polymer-coated surface acoustic wave sensors.20 Incorporating most of the conventional breath analysis techniques into portable sensing devices is difficult, however, owing to the bulky and expensive nature of these instruments and complexity of their operation.21,22 Furthermore, these methods often require a presampling step to increase the relative concentration of breath VOCs to detectable levels.2,23 Therefore, the development of highly efficient, sensitive, simple, inexpensive, and reliable breath sensing devices is essential for early diagnosis of cancer disease by breath analysis.

A chemiresistive sensor, also referred to as an electronic nose is portable, fast, noninvasive, and highly responsive to various VOCs2,9,24 and constitutes a robust and cost-effective solution for VOC detection. These sensors rely on changes in the electrical resistance of channel materials arising from their interaction with VOC biomarkers. Developing a channel material that can efficiently interact with the VOC molecules in the exhaled breath is crucial. Efficient channel materials should rapidly adsorb/desorb the target analytes, and exhibit high sensitivity and stability (ie, low noise level) in their presence. Chemiresistive sensors have been fabricated from various channel materials including metal oxides,25–27 intrinsically conducting polymers,28–31 functionalized carbon nanomaterials or nanocomposites,32–35 and quartz crystal microbalance. Nanomaterials are considered as efficient channel materials with excellent sensing capability, owing to their unique nanoscale features and high surface-to-volume ratio.36,37 For example, metal or metal oxide nanoparticles used as channel materials showed an improved sensitivity to specific analyte molecules.38–41 However, these nanoparticle-based sensors need further improvement in terms of sensitivity, selectivity, and stability for their practical use in applications. This can be achieved through added functionalities of hybrid nanomaterials that combine inorganic nanoparticles and organic molecules.42,43 In this regard, core-shell-structured hybrid materials of magnetic nanoparticles (MNPs) (eg, Fe3O4) and conducting polymers (eg, poly(3,4-ethylenedioxythiophene) [PEDOT],44 polyaniline [PANi],45,46 and polypyrrole [PPy]47,48) are especially promising sensing materials owing to their synergistic effect. These hybrid materials have been used for a number of applications including drug delivery, sensors, wastewater treatment, energy storage, and catalysts.

Herein, we propose a highly sensitive and stable chemiresistive sensor based on core-shell nanostructured hybrid materials consisting of MNPs and conducting polymers. The hybrid materials consisted of a Fe3O4 core surrounded by a PEDOT shell; a polymerized ionic liquid (PIL) was used as a linker to couple the core and shell materials. Coupling the PEDOT and Fe3O4 via the PIL-mediated process yielded the core-shell nanostructured PEDOT–PIL-modified Fe3O4 (PIL@Fe3O4) hybrid materials. The hybrid material was then used as an active sensing material for the detection of various VOC molecules. The synthesis of core-shell hybrid nanostructures of PEDOT–PIL@Fe3O4 and sensing device are illustrated in Figure 1. PIL is expected to play multiple roles in the microwave synthesis of Fe3O4 nanoparticles. For example, they: 1) consist entirely of highly polarizable ions that absorb microwaves efficiently, thereby resulting in improved yields of products; 2) act as a stabilizer for the Fe3O4 nanoparticles and prevent their aggregation in the solution; and 3) function as a surface-functionalizing material that imparts specific functionalities to the surfaces of Fe3O4 nanoparticles for efficient hybridization with conducting polymers. The sensor arrays based on the hybrid PEDOT–PIL@Fe3O4 channel materials exhibited high sensitivity (1 ppm concentration) to VOC biomarkers including methanol, ethanol, acetone, benzene, and toluene, which are present in the exhaled breath of lung cancer patients.6–9 The sensors also exhibited a high stability with a low level of noise, indicative of the high reliability of the sensing channels. The results suggest that the sensors based on PEDOT–PIL@Fe3O4 channel materials have significant potential for applications, including the point of care diagnostics and early diagnosis of cancer disease, via the detection of biomarkers.

Figure 1

Schematics of the synthesis of core-shell PEDOT–PIL@Fe3O4 hybrid, and its application in chemiresistive sensor for detection of lung cancer VOCs.

Note: The human body photo was adapted with permission from Hakim M, Broza YY, Barash O, et al. Volatile organic compounds of lung cancer and possible biochemical pathways. Chem Rev. 2012;11(11)2:5949.65 Copyright © 2012 American Chemical Society.

Abbreviations: APS, ammonium persulfate; Ar, relative amplitude of the electrical signals; Mw, microwave; min, minute; PEDOT, poly(3,4-ethylenedioxythiophene); PIL, polymerized ionic liquid; VOCs, volatile organic compounds; EDOT, 3,4-ethylenedioxythiophene.

Experiment

Materials

Iron(II) chloride tetrahydrate (>99.0%), iron(III) chloride hexahydrate (ACS reagent, 97%), bromoethane (98%), 1-vinylimidazole (99%), and azobis(2-methylpropionitrile) (99%) were purchased from Sigma-Aldrich (St Louis, MO, USA) and used without further purification. Ammonium persulfate (APS) (98%) and ammonia solution (28%) were purchased from Tokyo Chemical Industry (TCI) Chemicals (Tokyo, Japan). Methanol (99%), ethanol (98%), acetone (98%), benzene (98%), toluene (99.8%), and chloroform (99.5%) were used as purchased.

Microwave-assisted synthesis of Fe3O4 nanoparticles

PIL of poly(1-vinyl-3-ethylimidazolium) salts bearing the anion (Br−) was synthesized in accordance with a previously reported procedure.49,50 For the preparation of PIL-stabilized magnetic nanocrystals, an aqueous solution of PIL (200 mg) was slowly added, under vigorous stirring, to a mixed solution of FeCl2·4H2O (0.2 g in 5 mL of 0.5 M HCl) and FeCl3·6H2O (0.54 g in 10 mL water) at room temperature. After 15 minutes, 16 mL of ammonium hydroxide solution was added dropwise for 10 minutes. This mixture was then loaded into a tube, and placed inside a microwave reactor. The microwave reactor (MARS; CEM corporation, Matthews, NC, US) was operated at a power and pressure of 800 W and 4,000,000 Pa, respectively, and irradiated at 150°C for 10 minutes under continuous stirring. The dark-brown precipitate, ie, PIL@Fe3O4, was obtained by removing the supernatant and washing repeatedly with water.

Synthesis of PEDOT–PIL@Fe3O4 nanocomposites

PEDOT was formed on the surface of the Fe3O4 MNPs by oxidative in situ polymerization of EDOT in the presence of PIL@Fe3O4. An oxidizing agent, APS, was then added to the mixture containing the EDOT and PIL@Fe3O4 followed by 24 hours’ reaction under vigorous stirring at room temperature. The polymerization of EDOT on the Fe3O4 surface was initiated when APS was added to a mixture of PIL@Fe3O4 and EDOT monomer. The PIL on the Fe3O4 surface provided efficient linkage between the PEDOT and the Fe3O4 and was therefore used as a polymerization template for the PEDOT, from which hybrid core-shell-structured PEDOT–PIL@Fe3O4 composites were obtained. The PEDOT–PIL@Fe3O4 products were washed repeatedly with deionized water and ethanol in order to remove unreacted species (eg, EDOT, freely suspended PIL molecules, APS) from the products. For the sake of comparison, the PIL-doped PEDOT (PEDOT–PIL) without Fe3O4 nanoparticles was also prepared under the same synthetic condition.

Preparation and characterization of sensing device

Sensor arrays were fabricated via spray layer-by-layer deposition onto interdigitated electrodes composed of 25% Ag/75% Pd tracks, separated by a 15 μm ceramic gap, and prepared by cleaving 22 nF capacitors. The electrode surface was rendered contaminant-free by polishing and then cleaning with ethanol. The spray layer-by-layer deposition device was equipped with a spray valve controller that allowed for precise control of the nozzle scanning speed (Vs =50 mm·s−1), solution flow rate, air pressure (0.1 MPa), and target-to-nozzle distance (8 cm). After fabrication, the vapor sensors were conditioned overnight at 30°C in a controlled atmosphere.

Characterization

Structure and morphology of the PIL@Fe3O4 and PEDOT–PIL@Fe3O4 samples were characterized by a Hitachi S-4800 scanning electron microscope and a TECNAI 20 transmission electron microscope (TEM) equipped with an energy dispersive X-ray fluorescence spectrometer for energy-dispersive X-ray analysis. To characterize the crystal structure, X-ray diffraction measurements were performed at 2θ values of 20°–80° and a step size of 0.02°, using a Bruker D8 advance diffractometer. In order to examine the chemical composition, X-ray photoelectron spectroscopy (XPS) measurements were performed with a VG Microtech ESCA2000 using monochromatic Al Kα radiation (hν =1,486.6 eV). Atomic force microscopy (AFM) was performed in tapping mode with an AFM XE-100. Specimens for AFM study were prepared by drop-casting Fe3O4@PIL-PEDOT suspension onto a silicon wafer and drying in a vacuum.

The chemiresistive property of the sensor was determined by recording the electrical responses of specimens during successive 5-minute rectangular pulses of VOC and pure nitrogen flows. Sensors were mounted in a vapor-sensing chamber and exposed at room temperature to saturated VOC analytes including ethanol, methanol, acetone, benzene, and toluene. The mass flow controllers were used to regulate the flow rate of the pure nitrogen and the solvent vapors. In addition, the electrical valves were controlled by a program developed under the Labview software. The sensing device was operated at room temperature, and the total flow rate was kept constant at 100 cm3·min−1 during the measurements. Furthermore, the electrical conductivities of the conductive polymer composite (CPC)-based sensors were recorded with a Keithley 6517A multimeter and these sensors were placed in a 100×10×3 mm chamber during the dynamic vapor sensing measurements. The chemiresistive response of the CPC sensors is determined from the relative amplitude of the electrical signals (A). A is the ratio of the change in resistance upon exposure to solvent vapors, normalized by the initial resistance of the sensor, as indicated in Equation 1: where R is the resistance of the sensing materials when exposed to analyte vapors and R is the initial resistance when exposed to a nitrogen flow.

Results and discussion

The Fe3O4 MNPs were prepared in the presence of PIL by microwave-assisted synthetic method, in which microwave irradiation led to the rapid formation of PIL@Fe3O4 nanoparticles. Figure 2 shows the field-emission scanning electron microscopy images of the PIL@Fe3O4 (Figure 2A) and PEDOT–PIL@Fe3O4 (Figure 2D) powder samples. These images reveal that the PEDOT–PIL@Fe3O4 nanoparticles are larger than the PIL@Fe3O4 ones, indicating PEDOT-layer-encapsulation of the Fe3O4 nanoparticles. Furthermore, the TEM images of PIL@Fe3O4 (Figure 2B and C) revealed that a thin (ie, with thickness on the order of nanometers) layer of PIL formed on the surface of the ~10 nm sized Fe3O4 MNPs. The PIL molecules act as a stabilizer that prevents the aggregation of Fe3O4 nanoparticles in the suspension, and provide functionality for the polymerization with PEDOT on the surface of the Fe3O4. Furthermore, the TEM images of the PEDOT–PIL@Fe3O4 (Figure 2E and F) indicated that the core Fe3O4, which consists of particles with sizes of ~15 nm, is covered by PEDOT layers. The driving force for the hybridization of PEDOT and PIL@Fe3O4 was explained in a previous study;49 ie, the PIL on the surface of the Fe3O4 nanoparticles functions as a charge balancing stabilizer to the positively doped PEDOT chains during the polymerization process. The AFM images of PEDOT–PIL@Fe3O4 in Figure S1 showed that the measured particle sizes are consistent with those observed by TEM. The formation of MNPs via microwave irradiation was confirmed by X-ray diffraction measurement, as shown in Figure S2. The magnetic property of the PIL@Fe3O4 was also examined by measuring magnetization as a function of an external magnetic field at 300 K. The magnetic hysteresis loop (Figure S3) shows nonlinear and reversible characteristics without remanence or coercivity, which implies that the PIL@Fe3O4 exhibits superparamagnetic behavior.51 The magnetic property of the PIL@Fe3O4 may play the role of improving device performance, especially by depressing the noise of sensing signal which will be discussed later.

Figure 2

SEM and TEM images of the (A–C) PIL@Fe3O4 and (D–F) PEDOT–PIL@Fe3O4 composites.

Abbreviations: PEDOT, poly(3,4-ethylenedioxythiophene); PIL, polymerized ionic liquid; SEM, scanning electron microscopy; TEM, transmission electron microscopy.

The chemical composition of the resulting PIL@Fe3O4 nanoparticles and PEDOT–PIL@Fe3O4 hybrids were characterized by XPS. Figure 3 shows the XPS spectra of the PIL@Fe3O4 (Figure 3A and B) and the PEDOT–PIL@Fe3O4 (Figure 3C and D). The Fe 2p (Figure 3A) and N1s spectra (Figure 3B) exhibited peaks corresponding to the Fe3O4 nanoparticles and the imidazolium ring in the PIL, respectively; this ring confirmed the presence of PIL molecules on Fe3O4 nanoparticles. In addition, the peak at 169 eV in the S 2p spectrum (Figure 3C) is associated with the S2O8− anion of the APS oxidant, and those at 164 and 165 eV are attributed to the spin-split doublets of sulfur atoms in the PEDOT backbone.52 The deconvolution of the O 1s spectrum revealed three different peaks (Figure 3D). The most intense peak at 533.4 eV corresponds to the oxygen in ether (C–O–C), while the peaks at 531.7 and 535.5 eV originate from the S=O and C=O bonds, respectively.53 These data are consistent with the formation of PEDOT on Fe3O4 nanoparticles using PIL as a linker.

Figure 3

XPS spectra.

Notes: (A) Fe 2p and (B) N 1s XPS spectra of the PIL-modified Fe3O4 nanoparticles. (C) S 2p and (D) O 1s XPS spectra of the PEDOT–PIL@Fe3O4 hybrid composite.

Abbreviations: PEDOT, poly(3,4-ethylenedioxythiophene); PIL, polymerized ionic liquid; XPS, X-ray photoelectron spectroscopy; p, atomic “p” orbital; s, atomic “s” orbital.

A chemiresistive sensor was fabricated by depositing the PEDOT–PIL@Fe3O4 nanostructures onto interdigitated microelectrodes. The performance of the sensors, during this exposure for analytes including ethanol, methanol, acetone, benzene, and toluene, was evaluated in terms of their sensor response, which is defined (see Equation 1) as the relative resistance change (A =ΔR/R). Upon exposure to the analyte vapors, the sensor showed a sharp increase in resistance with analyte’s sorption and exhibited a positive vapor coefficient. The resistance of each of the sensors returned to its initial value when the analyte vapor flow was turned off and the N2 gas flow restored; this was indicative of a complete desorption of vapor molecules from the sensing materials and full recovery of the device. The reproducibility of the results was demonstrated for vapor exposures performed between the recovery periods. The performance of the sensor based on the PEDOT–PIL@Fe3O4 composite was compared with that of its PEDOT–PIL-only counterpart; the nonconductive PIL@Fe3O4 was excluded from the chemiresistive VOC sensing test.

Figure 4 shows the normalized sensor response of the PEDOT–PIL and PEDOT–PIL@Fe3O4 channels to saturated concentrations of the different VOCs. The sensing behavior of the PEDOT–PIL@Fe3O4 channels differed markedly from that of the PEDOT–PIL and varied significantly with the type of VOC molecules. In the case of the PEDOT–PIL sensors, the maximum amplitude of the signal is less than 0.22 and the electrical response to different VOCs can be written in descending order of sensitivity as: Amethanol > Aethanol > Aacetone > Abenzene > Atoluene (Figure 4A). The interactions between the sensor arrays and vapor molecules lead to changes in both the carrier density and mobility. The conformation of the conductive polymer chains can also be modified owing to the strong interaction with certain organic solvents, which may lead to changes in the conductivity.54–56 Moreover, the diffusion of analytes into the composites sensor may also affect the doping activity of the PIL on PEDOT, thereby leading to an increase in the resistance.

Figure 4

Sensing response of the (A) PEDOT–PIL and (B) PEDOT–PIL@Fe3O4 composite to VOC analytes.

Abbreviations: Ar, relative amplitude of the electrical signals; PEDOT, poly(3,4-ethylenedioxythiophene); PIL, polymerized ionic liquid; VOC, volatile organic compound.

The sensitivity of the sensors made with PEDOT–PIL@Fe3O4 channels (Figure 4B) increased with increasing amplitude. The response of the PEDOT–PIL@Fe3O4 sensor to VOC analytes can be written in descending order as Amethanol > Aacetone > Aethanol > Abenzene > Atoluene. The differing sensing behaviors of the PEDOT–PIL and PEDOT–PIL@Fe3O4 channels are indicative of the different molecular interaction between these sensing materials and the VOCs; this implies that the hybridization of Fe3O4 and PEDOT plays an important role in increasing the sensitivity and selectivity of the sensor. As shown in Figure S4, the sensitivity of the PEDOT–PIL@Fe3O4 is much higher than that of PEDOT–PIL for all analyte vapors used in this study. We interpreted this result by the fact that the incorporation of Fe3O4 nanoparticles affects the surface area and swelling behavior of channel materials in the presence of analyte vapors. Then, the efficient swelling can trigger macroscopic resistance variation as the conducting network is easily disconnected. In addition, compared to its PEDOT–PIL-only counterpart, the sensor with PEDOT–PIL@Fe3O4 channels exhibited a more stable sensing curve with lower levels of noise. Therefore, the PEDOT–PIL@Fe3O4 sensor exhibited a better sensor response than its counterpart. This improved performance is likely due to an increase in the electroactive surface area of the PEDOT by incorporation of Fe3O4 nanoparticles, which allow for an enhanced charge-exchange rate and dissipation of the noise by electron circulation.52 It is also observed that the magnetic properties of Fe3O4 nanoparticles would be responsible for the reduction of noise level.57

The amplitude of the response, A, depends on the molecular interaction between the sensing materials and the VOC analyte molecules, as expressed in Equation 2: where a and b are constants, and χ12 is the Flory–Huggins intermolecular interaction parameter derived from Equation 3: where V is the molar volume of the analyte molecules (cm3·mol−1); R =8.314 J·K−1·M−1; T is absolute temperature in Kelvin; δ is polymer global solubility parameter (J·cm−3)1/2; and δ is analyte global solubility parameter (J·cm−3)1/2.

In general, the interphase swelling of the conducting polymer composite increases with decreasing χ12, thereby leading to an increase in the resistance, and the relative amplitude A.

Figure 5A shows a plot of the sensor response toward the concentration of acetone vapor. The chemiresistive response of the conductive polymer composite sensors can be described by the Langmuir–Henry-clustering model (Equation 4), which can predict different chemiresistive behavior in a range of vapor concentrations:58,59 where b is the Langmuir affinity constant, k the Henry’s solubility coefficient, n′ the number of vapor molecules per cluster, and f the solvent fraction; f′ and f″ correspond to transitions between different regimes of diffusion.

Figure 5

Performance of PEDOT-PIL@Fe3O4 sensor.

Notes: (A) Calibration of PEDOT–PIL@Fe3O4 sensor to concentration of acetone vapor; (B) sensing response of the PEDOT–PIL@Fe3O4-composite-based and PEDOT–PIL sensors to acetone vapor at a concentration of 1 ppm; (C) the standard deviation in the baseline resistance after exposing to acetone; (D) comparison of the RMS noise of the PEDOT–PIL and PEDOT–PIL@Fe3O4 sensors.

Abbreviations: Ar, relative amplitude of the electrical signals; PEDOT, poly(3,4-ethylenedioxythiophene); PIL, polymerized ionic liquid; RMS, root-mean-square deviation; ppm, parts per million.

In Figure 5A, the sensor gives responses proportional to the analyte concentration in the ppm range, suggesting that the dominant mode that can take place in this sensor is Henry’s diffusion. Figure 5B compares the response of the PEDOT–PIL@Fe3O4 and PEDOT–PIL sensors to the target VOC; ie, acetone at a concentration of 1 ppm. Acetone is a typical biomarker for lung cancer since, owing to metabolic disorders, it is found in concentrations of >1.5 ppm in the exhaled breath of lung cancer patients.60–63 Therefore, the improved sensing performance to acetone vapors is essential to lung cancer diagnosis. In terms of amplitude of the signal, the PEDOT–PIL@Fe3O4 sensor exhibited a 38.8% higher response to acetone vapor than its PEDOT–PIL counterpart. Moreover, the sensor exhibited a stable sensing curve, indicative of low noise and high signal-to-noise ratio (SNR). The noise of the sensor can be calculated as the root-mean-square deviation (RMS) of the relative resistance change from the baseline.64 The standard deviation in the baseline resistance, prior to acetone exposure, was taken from ten data points, as shown in Figure 5C.

A polynomial fit to the plotted data provides a curve-fitting equation and the statistical parameters for calculating the data-point range: where y is the measured data point and y is the corresponding value calculated from the curve-fitting equation. The RMS noise is calculated from the following equation: where N is the number of data points used in the curve fitting.

Noise levels of 0.00240 and 0.00217 (Figure 5D) calculated for the PEDOT–PIL and PEDOT–PIL@Fe3O4 sensors, respectively, revealed that the PEDOT–PIL@Fe3O4 resulted in an 11% reduction in the noise associated with the sensor response. Therefore, the PEDOT–PIL@Fe3O4-based sensor arrays exhibit more reliable response to acetone vapor at concentrations in the ppm range. In addition, according to the The International Union of Pure and Applied Chemistry definition, the signal is considered to be a true signal when its SNR equals 3.64 Thus, the detection limit (DL) can be extrapolated from the linear calibration curve by using the following equation:

The detection limit of the PEDOT–PIL@Fe3O4-based sensor is estimated as 257 ppb, which is two-times lower than the PEDOT–PIL-only sensor (515 ppb). These results suggest that the PEDOT–PIL@Fe3O4-based sensor has significant potential for use in the detection of VOC biomarkers for lung cancer diagnosis.

Conclusion

We demonstrated a chemiresistive sensor based on core-shell hybridized nanostructures of Fe3O4 and PEDOT for the efficient detection of VOC biomarkers. These hybrid nanostructures were synthesized by using PILs as surface-functionalizing materials, which prevented the aggregation of Fe3O4 nanoparticles and promoted the formation of PEDOT on the Fe3O4 surface. The resulting PEDOT–PIL@Fe3O4 hybrids were used as sensing channel materials to detect various VOC vapors such as methanol, ethanol, acetone, benzene, and toluene. These sensors exhibited a remarkable sensing response (ie, high sensitivity, selectivity, and SNR) to the VOC vapors. In addition, the PEDOT–PIL@Fe3O4 sensor exhibited a significantly higher sensing response to 1 ppm acetone vapor analyte, ie, a 38.8% higher sensitivity and an 11% lower noise level, than the PEDOT–PIL sensor. The sensor presented in this work exhibited high sensitivity with a detection limit in the ppb range and reliable sensing behavior to VOC biomarkers; this reliable sensing behavior is essential to the early diagnosis of lung cancer.

AFM image of the PEDOT–PIL@Fe3O4, showing that the magnetic NPs are fully covered by conducting polymer, PEDOT.

Note: The red arrows represent the position where the scan line cross the sample.

Abbreviations: AFM, atomic force microscopy; NPs, nanoparticles; PEDOT, poly(3,4-ethylenedioxythiophene); PIL, polymerized ionic liquid.

An X-ray diffraction pattern of the synthesized Fe3O4 nanoparticles modified with PIL.

Abbreviation: PIL, polymerized ionic liquid.

Zoom out on hysteresis loops showing the saturation of magnetization.

Notes: Inset, top left: the magnetization curves as a function of applied magnetic field of Fe3O4@PIL; bottom right: digital photo showing magnetic response to an external field.

Abbreviation: PIL, polymerized ionic liquid.

Comparison of the selectivity of the PEDOT–PIL and PEDOT–PIL@Fe3O4 sensors toward a set of VOC biomarkers.