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The effects of central metals on ammonia sensing of metallophthalocyanines covalently bonded to graphene oxide hybrids

Yong Lia, Bin Wang*a, Zheying Yua, Xiaoqing Zhoua, Di Kanga, Yiqun Wu*ab, Zhimin Chena, Chunying Hea and Xin Zhou*c
aKey Laboratory of Functional Inorganic Material Chemistry, Ministry of Education, School of Chemistry and Materials Science, Heilongjiang University, Harbin 150080, P. R. China. E-mail: wangbin@hlju.edu.cn
bShanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, P. R. China. E-mail: yqwu@siom.ac.cn
cMIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, P. R. China

Received 31st May 2017 , Accepted 30th June 2017

First published on 7th July 2017


Abstract

Cost-efficient, highly sensitive, selective and stable sensing materials play a key role in developing NH3 sensors. Herein, a series of tetra-β-aminephthalocyanines metal(II) (aPcMs M = Cu, Ni, Co, Fe) have been successfully covalently bonded on the surface of graphene oxide (GO) by a facile amidation reaction. The obtained aPcM–GO hybrids display good dispersibility, which is beneficial to construct uniform sensing devices. The aPcM–GO sensors exhibit excellent sensing performance in terms of sensitivity, reversibility, reproducibility, selectivity and stability, especially the aPcCo–GO sensor which exhibited a response of about 11.6% (50 ppm), a limit of detection as low as 800 ppb, and a recovery time of about as fast as 350 s at room temperature. The enhanced NH3-sensing performance is mainly due to the synergistic effect between aPcM and GO, e.g. the stronger adsorption interaction of aPcM with NH3, the high electrical conductivity of GO, and the fast charge transfer between aPcM and GO. By comparison, the response of aPcM–GO hybrids to ammonia decreases gradually in the following order of Co > Cu > Ni > Fe ≫ GO, indicating that the central metals play a critical role in gas sensitivity toward NH3, which is further confirmed by first-principle density functional theory.


1. Introduction

With the increase of air pollution and concern about the impact of air quality on human health, global environmental problems caused by the release of chemical pollutants have attracted great attention.1–3 Ammonia (NH3), a colorless, odorous, toxic and flammable gas, is widely used in agriculture, food industry and industrial chemicals, and comes from industry, automobile emissions and biological metabolism, etc.4 When NH3 concentration exceeds 300 ppm, it will damage human cells and cause serious injuries in skin, eyes and respiratory tract.1 According to the United States Occupational Safety and Health Administration (NIOSH), there is a 15 min and 10 h NH3 exposure limit of 35 ppm and 25 ppm in the workplace, respectively.5 Therefore, it is significant to develop highly efficient, low power and cost NH3 sensors operated at room temperature for environment protection, industrial production and safety and health monitoring. Cost-efficient, highly sensitive and stable sensing materials, for example, semiconductors,6–8 conjugated polymers,9–11 carbon nanomaterials12–15 and their composite materials,16–20 have been successfully explored to fabricating NH3 sensors. Among them, pristine and modified graphene materials (pristine graphene PG, graphene oxide GO, reduced graphene oxide RGO) are widely used as the most popular sensing materials for gas detection due to its large specific surface area, unique structure and electrical properties such as high electron mobility and low electrical noise.21–26 GO is a promising candidate for gas sensing owing to its unique two-dimensional structure, oxygen rich functional groups, common method for graphene synthesis and suitable for chemical modification.23,25 Peng et al. also predicted that GO has better NH3 sensing performance than PG because the surface active defect sites of GO (such as the epoxy, hydroxyl and carbonyl groups) can enhance the interactions between ammonia molecules and GO using the first-principles calculations.27 However, there are still some drawbacks, such as poor gas-sensing selectivity, low response, slow recovery performance, which limit its practical application. GO with functional molecules is an effective approach to improve the gas sensing performance. The hybridization of metal, metaloxide nanoparticles and polymer with GO have demonstrated a significant synergistic effect towards NH3, CO, NOx, etc. gas and vapor sensing.28–30 Metalphthalocyanines (PcMs) are well-known gas sensing material due to their unique 18π-conjugated skeleton with diversity of central metal atoms and easily tailored functional groups at the outer of phthalocyanine ring.31–36 Many studies indicated that PcMs based sensors towards NH3 have high sensitivity, quick response and recovery time and good selectivity at room temperature. For example, Ding et al.31 revealed that amphiphilic phthalocyanines with central Zn atom (APcMZn) shows better NH3 sensing performance than amphiphilic phthalocyanines (APcM). Jiang et al.32 reported that copper tetra-4-(2,4-di-tert-amylphenoxy) phthalocyanine (tapPcCu) can be used as sensing material for detection of NH3. Recently, we compared the NH3 sensing behavior of tetra-iso-pentyloxyphthalocyanine with different central atoms and exhibited good response, reversibility, stability and faster response and recovery characteristic to NH3.37 However, low electrical conductivity, small accessible surface area and less exposed active sites for sensing seriously limit the practical application of PcMs in gas sensor.38 One effective solution dealing with this issue is to combine the conductive GO to improve the charge transfer of PcM sensors. Owing to the unique two-dimensional structure, large surface area and high conductivity and stability of GO, electrons of PcMs can be easily accepted by GO then be transported quickly. Therefore, the combination of high conductivity and stability of GO with the high reactivity of PcMs sensor is a promising approach to gain better gas sensing performance for gas sensor application. On the one hand, the resistance change due to the charge transfer between PcM/GO hybrids and adsorbed gas molecules becomes easier. On the other hand, PcMs load on the surface of large two-dimensional surface area GO, which promotes more PcMs molecules as active sites interacting with gas molecules for high sensitivity.39 In fact, PcM/CNT and PcM/RGO hybrids have been self-assembled through π–π stacking interaction to detect NH3 gas due to the flat, planar aromatic structure of PcMs in previous research. The synergistic effect of PcMs and carbon materials leads to excellent gas sensing performance of PcM/CNT and PcM/RGO hybrids that can be superior to pristine PcM and carbon materials in terms of sensitivity, selectivity, and recovery time.40–42 However, due to the indefinable π–π interactions and van der Waals force between PcMs and carbon materials, it is difficult to control the architecture and properties of hybrids, further resulting in poor gas-sensing reproducibility and stability. Thereby, it is still one of promising research topic to develop PcMs/carbon materials with special structure for high efficient gas sensor. Compared with noncovalent modification, covalent bonding directly to the surface of carbon materials with PcMs can achieve effectively adjusting of the architecture and properties through a chemical coordination method. The covalent modification of PcMs to the carbon materials has been reported for facilitating the combination of PcMs and carbon materials and improving their properties and application.43–45 However, GO covalently bonded with PcMs is not explored for gas sensing. Moreover, no systematic study has worked on the effect of central atoms on the gas sensing performance of PcM–GO hybrids.

Based on the above-mentioned drawbacks, in this work we report the facile preparation of a series of tetra-β-aminephthalocyanines metal covalently bonded to GO (aPcCu–GO, aPcNi–GO, aPcPb–GO and aPcFe–GO) hybrids via an amidation reaction (as show in Scheme 1). A systematic study was done to evaluate the NH3-sensing performance of the hybrids operating in chemiresistive mode over a wide range of concentrations at room temperature (as show in Scheme 1). As expected, the as-prepared aPcM–GO hybrids show an enhanced sensitivity, selectivity, reproducibility, response and recovery time in comparison to other NH3-sensing materials. The results demonstrate that the aPcM–GO hybrids can serve as an excellent NH3 sensing material and have great potential applications for gas sensor. Significantly, the central metals are directly correlated with the NH3-sensing performance. Density functional theory (DFT) calculations were further carried out to reveal the interactions and charge transfer between NH3 and aPcMs with different center metals.


image file: c7ra06081e-s1.tif
Scheme 1 Schematic of NH3-sensing sensor composed of aPcM–GO hybrids.

2. Experimental and calculation details

2.1 Reagents

Flake graphite was purchased from Nanjing XFNANO Materials Tech Co., Ltd. 4-Nitrophthalonitrile (99% purity) and DBU (98% purity) were purchased from Sigma-Aldrich Co. LLC. Graphene Oxide (GO) was fabricated by the modified Hummers method, which was represented in our previous reports.42 Tetra-β-aminephthalocyanines metal(II) (aPcMs M = Cu(II), Ni(II), Co(II), Fe(II)) was synthesized by the ordinary template reaction of 4-nitrophthalonitrile with anhydrous metal(II) chloride in the presence of 1,8-diazabicyclo-[5,4,0]undec-7-ene (DBU). And then the above products with sodium sulfide reduction (see the ESI for experimental details). Ultrapure water was obtained by using a Millipore Milli-Q system (Millipore Corp. Bedford, MA, USA). All other reagents in this work were of analytical grade and used without further purification.

2.2 Preparation of aPcM–GO hybrids

Four aPcM–GO hybrids, via aPcCu–GO, aPcNi–GO, aPcCo–GO and aPcFe–GO, were prepared by the same general method: GO (20 mg) in N,N-dimethylformamide (DMF) (20 ml) was sonicated at room temperature for 2 h, and then excess thionyl chloride was added. The ensuing mixture was refluxed for 24 h with continuous stirring under a nitrogen atmosphere. Subsequently, the excess thionyl chloride was removed by distillation. After that, aPcM (60 mg) in DMF (20 ml) with several drops of triethylamine were added and stirred mixture at 100 °C for 48 h under vigorous stirring. After cooling, a large of ultrapure water was added. The resultant black solution was filtered through a 0.22 μm PTFE membrane filter. The filter cakes were washed thoroughly with tetrahydrofuran (THF) and ethanol, DMF, and acetone, until the filtrate became colorless, and then dried in a vacuum oven for 2 h at 80 °C obtaining the desired black aPcM–GO hybrids powders.

2.3 Sensors assembling and sensing measurement

A complete description of the gold interdigitated electrodes (IDEs) and the gas sensor testing device was already reported in our previous study.41,42

To prepare gas sensors composed of aPcM–GO hybrids, the as-prepared aPcM–GO hybrids were dispersed in DMF to obtain a uniform suspension of 0.5 mg ml−1 by ultrasonication for 2 h, and then the homogeneous dispersion was drop cast onto the gold electrodes using a microsyringe until a resistance range (about 0.1–0.2 MΩ) was achieved. Low concentration dispersion was used to avoid overlapping aPcM–GO hybrids. To remove the solvent of the sensor and improve the electrical contact between the hybrids and the gold electrodes, the sensor devices were annealed in a vacuum oven for 2 h at 80 °C before sensing tests. For comparison, gas sensor of free GO and aPcM was also fabricated by the similar procedures.

A typical sensing test cycle consisted of three sequential steps. The sensors were dried in a vacuum oven for 1 h at 80 °C before measuring. First, a dry air flow was introduced into the sensing test chamber to record a baseline. Then, an appropriate amount of the dry NH3 sample gas was injected to register sensor signals. Finally, the sensor was recovered in a dry air flow. In order to study the effect of relative humidity on the NH3 response properties, dry air and air with controlling different humidity were used as both a carrier and a dilution gas, respectively, and all measurements were performed at 28 ± 0.5 °C. The change in resistance of the sensors was measured with a CUST G2 gas sensing test system (advanced sensor technology laboratory of Jilin university, China). In this study, response is defined by the relative resistance change, as follows:

 
image file: c7ra06081e-t1.tif(1)
where Ra and Rg were the sensor resistance in initial air flow which was used as background and the target gas. Response and recovery times were defined as the time needed for 90% of total resistance change on exposure to target gas and air, respectively. High pure NH3 gas was used as the NH3 source. High pure NH3 gas (99.9%) was purchased from Guangming Research and Design Institute of Chemical Industry, PR China. NH3 gas is stored in a dedicated high-pressure gas cylinder. NH3 sample gas was purged into an anticorrosive air bag consisted of PET/Al/CPP composite membrane through a dry tube filled with NaOH flakes, to obtain dry NH3 sample gas.

2.4 Characterization

UV-vis absorption spectra were recorded with a Lambda 35 UV-vis spectrometer (Perkin-Elmer, USA). The Raman spectra were acquired by using a Raman spectrophotometer (HR800, HORIBA Jobin Yvon Company) excited by a laser with 457.9 nm wavelength. XPS were acquired on a Kratos AXIS Ultra DLD system by using monochromated Al Kα X-ray beams as the excitation source (1486.6 eV). The base pressure of the analysis chamber was below 10−9 mbar. Binding energies were calibrated relative to the C 1s peak at 284.6 eV. Raman spectroscopy was performed on a Jobin Yvon HR800 Raman spectrometer by using a 458 nm laser source. Scanning electron microscopy (SEM) images were recorded with a Hitachi S-4800 field emission scanning electron microscope operating at 15 kV. Samples were drop-deposited onto the interdigitated electrodes and measured directly. Transmission electron microscopy was performed with a JEM 2100 instrument at 200 kV utilizing a JEOL FasTEM system. Samples were dropped onto Cu grids with lacey carbon film and allowed to dry thoroughly before imaging. The current–voltage (IV) characteristics of the fabricated sensors were measured using a Keithley 4200 semiconductor parameter analyzer with a two-point probe setup via sweeping the potential between −2 and +2 V under a 0.01 V s−1 scan rate.

2.5 Calculation details

DFT calculations were performed for the adsorption of NH3 on PcMs using long-range corrected functional of CAM-B3LYP46 with a set of hybrid basis sets (LanL2DZ for metals and 6-31g(d) for H, C, and N). Charge analyses were performed with the NBO (natural bond orbital) method.47 Adsorption energy (Eads) between NH3 and the PcMs was defined as,
 
Eads = E(NH3 + PcMs) − E(PcMs) − E(NH3) (2)
where E(molecule + PcMs) is the total energy of the NH3–PcMs, and E(PcMs) and E(NH3) are the total energy of PcMs and NH3, respectively. The Gaussian 09 quantum chemical package was employed for all calculations in the present work.48

3. Results and discussion

3.1 Characterization of aPcM–GO hybrids

According to our strategy, aPcM can be covalently bonded to GO by a facile reaction and aPcM–GO hybrids are obtained, which are confirmed by IR spectra, UV-vis spectra, Raman spectroscopy, XPS, SEM and TEM. The FT-IR spectra of GO, aPcCu and aPcCu–GO hybrid are shown in Fig. 1A. aPcCu shows characteristic vibrations at 1601 cm−1 (νC[double bond, length as m-dash]C), 3323 cm−1 and 3208 cm−1 (νN–H). The main characteristic peaks of GO are located at 3417 cm−1 (νO–H), 1736 cm−1 (νC[double bond, length as m-dash]O), 1435 cm−1 (δO–H), and 1035 cm−1 (νC–O).43 After aPcCu bonding to the surface of GO, the peak at 1736 cm−1 disappears, a new peak at 1651 cm−1 (νNH–C[double bond, length as m-dash]O) appears. This result confirms the formation of an amido-bond between aPcCu and GO. Moreover, the characteristic fingerprint peaks of aPcCu also emerged at 800–1620 cm−1, providing a significant support for aPcCu covalently bonded onto GO.44 Fig. 1B shows the UV-vis spectra of GO, aPcCu and aPcCu–GO hybrid in DMF, respectively. A characteristic Q-band of aPcCu (719 nm) observed in the UV-vis spectrum of the aPcCu–GO hybrid is broadened and blue shifts about 24 nm, which is not only indicative of a covalently bonding between aPcCu and GO, but suggestive of ground-state electronic interactions between aPcCu and GO in hybrids.44,49 The covalent bonding of aPcCu–GO was also evidenced by Raman spectra. As shown in Fig. 1C, the D- and G-bands of the GO appear at 1361 and 1579 cm−1, respectively, which can be attributed to the defects introduced by the oxidation and the vibrations of the sp2 hybridized carbons in the 2-D lattice of graphite.50 In contrast to the case of GO, the D- and G-bands of the aPcCu–GO hybrid, which appear at 1356 and 1570 cm−1, are found to be slightly shifted to higher energy region.43 The D- to G-band intensity ratios (ID/IG) increased from 0.85 for GO to 0.98 for aPcCu–GO due to the formation of sp3 carbons by covalent attachment of aPcCu.44 The results indicate that aPcCu has succeeded in bonding onto the surface of GO.
image file: c7ra06081e-f1.tif
Fig. 1 (A) FT-IR spectra, (B) UV-vis spectra and (C) Raman spectra of GO and aPcCu–GO hybrid obtained at λexc = 457.9 nm.

As a further proof, XPS spectra provide an important and effective information for the covalent attachment of the aPcCu onto the GO. As shown in Fig. 2, in the survey spectrum of aPcCu–GO (Fig. 2A), N and Cu elements could be found. It further confirms successful adsorption of aPcCu derivatives onto the surface of GO. The high-resolution N 1s XPS spectrum of aPcCu–GO splits into three peaks located at 398.8 eV (the N in C–N bonds), 400.2 eV (the N in –NH–CO– bonds) and 401.2 eV (the N in C[double bond, length as m-dash]N bonds) (Fig. 2B). The high-resolution C 1s XPS spectrum of aPcCu shows that the peaks of carbon appear at 284.6 eV (the C in C–C bonds), 285.7 eV (the C in C–O bonds) and 287.7 eV (the C in –NH–CO– bonds) (Fig. 2D). In contrast to aPcCu, the N peak in NH2 bonds blue shifts about 0.8 eV and intensity of the peak increases significantly due to the electron withdrawing effect of GO.43 The binding energy of Cu 2p peak increases in the hybrid spectrum by 1.7 eV compared to that in aPcCu (Fig. 2B). The binding energy in XPS spectrum is related to the electron density around the nucleus. The lower the electronic density is, the higher the binding energy will be,51 and therefore such higher binding energy shift is mainly attributed to the charge transfer of the aPcCu ring to the GO.52


image file: c7ra06081e-f2.tif
Fig. 2 XPS analysis of aPcCu–GO hybrids: (A) survey spectra; (B) N 1s regions; (C) Cu 2p region; (D) C 1s region.

The microstructures of the aPcM–GO hybrids were also characterized by SEM and TEM. The TEM images of GO were shown in Fig. 2S. Fig. 2S shows that the surface of GO is a few layers wrinkled paper-like structure. While aPcM–GO hybrid exhibits layered structure after covalent attachment of aPcCu onto the surface of GO, aPcCu islands are distributed on the GO surface without obvious large-scale aggregation of aPcCu (Fig. 3A). The typical SEM images of aPcM–GO sensors using a drop casting technique on interdigitated electrode surface are shown in Fig. 3B and C. As shown in Fig. 3B, aPcCu–GO hybrid displays few layered flakelike shape with a rounded morphology. Fig. 3C shows that aPcCu–GO sheets are evenly, loose distributed between the two-finger of interdigitated electrode, which provides continuous conducting pathways for transportation of electrons, the permeable channels for diffusion of gas molecules, and more advantages on the active sites, giving rise to the high sensing performance.53–55 The influence of aPcM molecules on the dispersion of the aPcM–GO hybrids in DMF was also studied. As shown in Fig. 3D–F, aPcM–GO hybrids can disperse in DMF well after sonicating at room temperature for 20 minutes, which is very beneficial to fabricating uniform films for using as gas sensors. The aPcM–GO hybrids remained as a good dispersion in addition to the aPcFe–GO hybrid settled down a little after standing for 15 days. More importantly, the aPcM–GO hybrids remained as a good dispersion even after standing for 30 days. Evidently, the long-term dispersion and stability of aPcM–GO can be attributed to the covalent bond of aPcM onto the surface of GO.


image file: c7ra06081e-f3.tif
Fig. 3 (A) TEM images and (B and C) SEM images of aPcCu–GO; (D–F) optical photographs of the equivalent aPcM–GO hybrids dispersed in DMF after sonicating at room temperature for 20 minutes (D), and after standing at room temperature for 10 days (E) and 30 days (F). ((a–d): aPcCu–GO, aPcCo–GO, aPcNi–GO, aPcFe–GO, respectively).

3.2 NH3 sensing properties of aPcCu–GO hybrids

To evaluate the NH3-sensing potential applicability in gas sensor, the NH3-sensing properties of aPcM–GO hybrids were studied. The resistance value of aPcM–GO hybrids sensors (about 0.1–0.2 MΩ) also suggested that a perfect circuit of the sensing device had been achieved, which was about 2 times higher than pure GO sensor (about 6 kΩ). For cPcCu–GO hybrids, the increase in sensor resistance is possibly caused by the intrinsically high resistance of aPcCu (about 30[thin space (1/6-em)]000–40[thin space (1/6-em)]000 MΩ), and the donation of electrons from the p-type aPcCu to the p-type GO, compared with aPcCu, the resistance of hybrid was remarkably decreased, indicating the electrical conductivity of aPcM–GO hybrids was improved dramatically. It can be ascribed to the GO possess unique electrical properties, such as high electron mobility and low electrical noise. The improved conductivity and the specific compositions of semiconductor materials might be advantageous for gas-sensing applications.

To verify the potential application of the aPcCu–GO sensor, the selectivity of aPcCu–GO hybrid was studied. The representative gases in air and volatile organic compounds (VOCs) were separately injected into the test chamber in turns at room temperature (as shown in Fig. 4). Compared with GO sensor, aPcCu–GO sensor had excellent selectivity for NH3. This means that the covalent bonding of aPcCu on GO enhanced the selectivity of aPcCu–GO hybrid to NH3. Contrary to NH3, the resistance reduces sharply when aPcCu–GO sensor is exposed to the strong oxidants, e.g. NOx. It is because both aPcCu and GO are p-type semiconductors. NOx can trap the electrons from aPcCu–GO hybrids and obtain more holes in hybrids, leading to the reduced resistance, which is consistent with the charge-transfer mechanism. Except of NH3 and NOx, aPcCu–GO sensor exhibiting negligible responses towards all these gases and VOCs even at very high concentrations of 3000 ppm, sensors also show very low response to different relative humidity. Therefore, it is a promising sensor to selectively detecting NH3 in an indoor atmosphere, industrial emission gas, agricultural practices gas, and so on.


image file: c7ra06081e-f4.tif
Fig. 4 Cross-sensitivities to various gases for the (A) GO and (B) aPcCu–GO sensor, MeTH = methanal, MeOH = methanol, EtOH = ethanol, DMK = acetone, DCM = dichloromethane, TCM = trichloromethane, CTC = carbon tetrachloride, Tol = toluene, THF = tetrahydrofuran, PA = propionic acid, DEE = diethyl ether, EA = ethyl acetate.

The detailed dynamic resistance cure of the aPcCu–GO sensor upon repeated NH3 exposure/removal cycles are shown in Fig. 5A. Nine cycles were successively recorded at room temperature, corresponding to NH3 concentrations from 12.5 ppm to 3200 ppm. The resistance rapidly increases upon NH3 gas, and the resistance decreases when aPcCu–GO sensor exposed to air again. Since both aPcCu and GO are p-type semiconductors, according to the charge transfer mechanism, NH3 can donate the electrons to aPcCu–GO hybrids and cause the depletion of holes in hybrids, leading to the increased resistance. The response intensities increase with the increasing concentration of NH3 gas. As a control, the sensing responses of GO and aPcM towards NH3 were also studied. Both the response intensity and the recovery properties are poor for the GO and aPcM sensors, (Fig. S3). By contrast, the aPcCu–GO sensor exhibits remarkable response and recovery performance towards NH3. For example, the response of aPcCu–GO to 50 ppm NH3 is about 8.97% (Fig. 5B), which is over 30 times and 12 times higher than that of GO and aPcCu sensors, respectively; whereas, the recovery time of GO extends by 3450 s compared to that of aPcCu–GO (235 s). The aPcCu–GO sensor exhibits two good linear responses, 0.16% per ppm NH3 for concentrations ranging from 800 ppb to 50 ppm, and 0.03% per ppm NH3 for concentrations ranging from 100 to 800 ppm (Fig. 5B). The linear regression equation of S = 0.1600 × C (ppm) + 1.3214 (R2 = 0.981) is thus derived from the calibration curve, revealing that the aPcCu–GO sensor has a limit of detection (LOD) as low as 800 ppb (S/N = 3).


image file: c7ra06081e-f5.tif
Fig. 5 (A) Resistance of aPcCu–GO hybrid sensor upon exposure to varying concentrations of NH3; (B) relationship of the response of aPcCu–GO sensor to the concentration NH3; (C) ten sensing cycles of aPcCu–GO hybrid sensor to 50 ppm NH3; (D) response of aPcCu–GO hybrid sensors to 50 ppm NH3 over long time storage at 28 °C.

To further verify the repeatability, reliability and stability, ten response cycles of the aPcCu–GO sensor to 50 ppm NH3 at room temperature were investigated (Fig. 5C). The resistance curve shows the similar continuous recycles, and there is no obvious change (less 3%) in the ten continuous cycles. The sensor shows a fast recovery time (less than 250 s). The long-term stability of the aPcCu–GO sensor was also evaluated over 30 days by determining the response to 50 ppm NH3 and storing in air at room temperature when not in use, and the results are shown in Fig. 5D. A slight response drop (only about 3%) could be observed after storing for 30 days. Clearly, the aPcCu–GO sensor has good stability and repeatability, which is crucial for further applications. The high sensitivity, low detection limit and fast response and recovery time of our NH3 sensor are also significantly superior to the previously reported sensors (as shown in Table S1).

Humidity is an important factor that might affect the NH3-sensing properties of aPcCu–GO sensor. Fig. 6 shows the response of aPcCu–GO hybrid sensor upon exposure to 50 ppm NH3 in different relative humidity. As can be seen, the response of aPcCu–GO sensor did not increase obviously below 40% RH. In contrast, with further increasing 60% RH, the response increases significantly. However, the response decreases under the high 80% RH, which might be ascribed to the competitive adsorption between NH3 and H2O molecules.1,19


image file: c7ra06081e-f6.tif
Fig. 6 Response of aPcCu–GO hybrid sensor upon exposure to 50 ppm NH3 in different relative humidity at 28 °C.

3.3 The NH3-sensing mechanism of aPcM–GO hybrids

Charge transfer can be responsible for the sensing mechanism of a PcCu–GO detecting NH3.26,56,57 As shown in Scheme 2, GO and aPcCu show classic p-type behavior under ambient conditions, due to the electron withdrawing character of absorbed oxygen containing moieties which induce a hole-like carrier concentration.57 NH3 is an electron donor with a lone electron pair. The exposure of hybrids to NH3 can cause a decrease in the number of charge carriers, resulting in an increase in resistance at room temperature, (Fig. 5A). During the sensing process, the electrons will transfer between the conjugated aPcCu and GO, and consequently increase the sensibility of the hybrids. This hypothesis is also responsible for the rapid increase of the resistance observed in Fig. 5A and S7. Therefore, with the increase in the concentration of NH3, the response of aPcCu–GO sensor increases. From all the above, the possible reasons for the excellent gas sensing property of aPcCu–GO hybrids can be ascribe to the following three factors. Firstly, the aPcCu covalently loaded on the surface of GO offers more sensing sites for NH3 reaction. Secondly, GO play a critical role in the charge transportation, and can accelerate the charge transfer as a conductive agent. Thirdly, the larger surface area, providing more active sites, is also a factor in the enhanced sensing property of aPcCu–GO to NH3. The enhanced NH3-sensing performance is mainly due to the synergistic effect between aPcCu and GO, e.g. the stronger adsorption interaction of aPcCu with NH3, the higher electrical conductivity of GO, and a larger surface area of aPcCu–GO.
image file: c7ra06081e-s2.tif
Scheme 2 A schematic illustration of the gas sensing mechanism of aPcM–GO sensors upon interaction with NH3.

To validate the NH3 sensing mechanism, the IV characteristics of the aPcM–GO and aPcM–GO exposure to NH3 are investigated (Fig. S4). The linearity and symmetry of IV curves suggest an ohmic contact between the samples and gold electrodes. Low current means the sensor has a relatively high resistance. For aPcM–GO hybrids, the decrease in device current is possibly caused by the intrinsically high resistance of aPcM, and the donation of electrons from the p-type aPcM to the p-type GO backbone. NH3 is an electron donor with a lone electron pair. The exposure of hybrids to NH3 can provide more electrons to combine with the holes in p-type semiconductors of aPcM and GO. The combination of electrons and holes can reduce the carrier concentration of the system, leading to further increase in the resistances of aPcM–GO hybrids exposure to NH3, which agrees well with the charge transfer mechanism. In addition, the excellent selectivity of aPcM–GO hybrids for NH3 can be mainly ascribed to the strong charge transfer interaction between NH3 molecules and the aPcM–GO hybrids.38

In general, the sensing effect mainly occur at aPcM in hybrids, which covalently loaded on the surface of GO. Most importantly, both theoretical and experimental evidence demonstrate that the central metals of PcMs are of primary importance to determine the selectivity and sensitivity, because of the preferential coordination with NH3,58 whereas, GO play a critical role in the charge transportation.23,42 To obtain further insight into it, various aPcM–GO hybrids (M = Co, Ni and Fe) were synthesized via covalent interaction. UV-vis, Raman, and XPS spectra further confirmed aPcM–GO hybrids have been successfully prepared (Fig. S5–S12).

The resistance cure, reproducibility, stability, relationship of the response of aPcM–GO hybrids (M = Co, Ni and Fe) sensors to the concentration NH3 were also investigated (as shown in Fig. 7 and S13 and 14), and all aPcM–GO sensors exhibit more better response and recovery performance than GO, especially aPcCo–GO sensor, Fig. 7A and B shows that the response of aPcCo–GO to 50 ppm NH3 is about 11.6%, which is over 40 times higher than that of GO sensor; whereas, the recovery time of GO extends by 3450 s compared to that of aPcCo–GO (350 s). The aPcCo–GO sensor exhibits also two good linear responses, 0.12% per ppm NH3 for concentrations ranging from 800 ppb to 50 ppm, and 0.03% per ppm NH3 for concentrations ranging from 100 to 400 ppm (Fig. 7B). The linear regression equation of S = 0.1231 × C (ppm) + 4.7736 (R2 = 0.990) is thus derived from the calibration curve, revealing that the aPcCo–GO sensor has a limit of detection (LOD) as low as 800 ppb (S/N = 3). It's clear that these aPcM–GO sensors exhibit the distinct responses towards NH3 and good reproducibility, reliability and stability. The selectivity of aPcM–GO sensors to NH3 was also investigated (as shown in Fig. S15). Similarly, to aPcCu–GO, other sensors also show good selectivity toward NH3 comparing to GO hybrids (Fig. 3S), indicating that aPcM could enhance the NH3-sensing property due to the stronger adsorbing to NH3. More important, when the central metal of phthalocyanine is changed, the enhancement degree of aPcM–GO to different types of gases is different. As shown in Fig. 8, the response of various sensors decreases in the order of Co > Cu > Ni > Fe ≫ GO. The difference in responses are mainly due to the difference aPcM; or to be more specific, central metals, for example, the atomic radius, the valence state, the coordination number, especially the interaction effects between NH3 and different central ions.


image file: c7ra06081e-f7.tif
Fig. 7 (A) Resistance of aPcCo–GO hybrid sensor upon exposure to varying concentrations of NH3; (B) relationship of the response of aPcCo–GO sensor to the concentration NH3; (C) ten sensing cycles of aPcCo–GO hybrid sensor to 50 ppm NH3; (D) response of aPcCo–GO hybrid sensors to 50 ppm NH3 over long time storage at 28 °C.

image file: c7ra06081e-f8.tif
Fig. 8 Response of GO and aPcM–GO hybrid sensors to different concentration of NH3 gas at 28 °C.

Considering the structural properties of aPcM–GO hybrids, the same substitutes of aPcM, and less interaction of NH3 and GO, only the interactions between NH3 with the central metals of unsubstituted PcMs were investigated. To better understand the effects of center metals on NH3-sensing property of aPcM–GO hybrids, detailed DFT calculations for NH3–aPcM were performed. Adsorption energies of NH3 on aPcMs, net charge on NH3 moiety, and distance between central metals and NH3 were listed in Table 1. Fig. S16, shows the structures of adsorbed NH3–aPcM with top and side views. As illustrated in Fig. S16, the NH3 is almost vertically adsorbed on the top of aPcMs with N atom bonding to the metals. The distance of nitrogen and metal atoms was shown in Table 1 ranges from 2.240 to 2.716 Å. The distance of nitrogen and metal atoms ranges from 2.240 to 2.716 Å (Table 1) and is a simple index of the interaction strength. The longer distance is, the weaker of the interaction is, and vice versa. For example, the distance of NH3–aPcNi is longest and its adsorption energy of NH3 on aPcNi is smallest (−3.6 kcal mol−1). As can be seen, the adsorption energy of aPcM–NH3 are negative value, which illustrate the adsorption of NH3 on center metals are exothermic process, which will benefit the formation of stable structure.59 The adsorption energy of aPcCo–NH3 (−21.7 kcal mol−1) are more negative than that of aPcCu, Ni, Fe–NH3, hence, NH3 shows affinity to interact on aPcCo–Go. To elucidate the charge transfer between the NH3 and aPcMs, NBO calculations were carried out. In general, the net charges on NH3 are positive (Table 1), implying that there exists electron transfer from NH3 to aPcMs. Charge transfer indicates a charge transfer sensing mechanism for the aPcMs sensors, which agrees well with the experimental observation. It is noted that there is much charge transfer in the adsorption of NH3 on aPcCo (0.162e) than that of other systems, moreover, although there is no much charge transfer in the adsorption of NH3 on aPcNi (0.073e) and aPcCu (0.0986e), the electrons transfer from NH3 to aPcM (M = Ni and Cu) will form a weak bound complex M+(NH3) due to electrostatic interaction and still indicates a charge transfer sensing mechanism.60 In short, the NH3 sensitivity of aPcCo–GO is the highest, further illustrating that central metals play a critical role in gas sensitivity.

Table 1 Calculated adsorption energies, major bond distance, and net charges in the adsorption of NH3 on the aPcMs (M = Co, Cu, Ni, Fe)
Sub.a Net chargeb d(M–R)c (Å) Adsorption energy (kcal mol−1)
a The substrate.b The net charge on NH3.c Distance between metal and NH3.
CoPc 0.162 2.240 −21.7
CuPc 0.0986 2.356 −12.4
NiPc 0.073 2.716 −3.6
FePc 0.143 2.323 −6.2


4. Conclusions

In summary, we have demonstrated the fabrication and application of aPcM–GO hybrids for NH3 gas sensors at room temperature. aPcM–GO hybrids with good dispersibility were synthesized by covalent modification. Compared with many existing NH3 sensors, the obtained sensors, especially aPcCo–GO sensor, show high sensitivity (11.6% to 50 ppm NH3 with a LOD of 800 ppb), excellent stability, reproducibility, fast response/recovery without any external stimulus, and pronounced selectivity towards NH3. In fact, the combination of GO and aPcM have greatly improved gas sensing performance for gas sensor application. In which GO provides high conductivity and the continuous pathways for charge transportation, aPcM possesses more active adsorption sites towards NH3 and plays a major role in gas sensing response. More importantly, the charge transfer interaction between aPcM and GO leads to very large and fast variation of the resistance. By comparison, the response of aPcM–GO hybrids to NH3 decreases gradually in the following order of Co > Cu > Ni > Fe ≫ GO. DFT calculation reveals also that the central metal of aPcM plays a critical role in NH3 sensitivity, according to the bond length, binding energies and charge transfer of MPc–NH3 system. The systematic study developed here provides a valid way to fabricate high-efficient NH3 sensors.

Acknowledgements

We gratefully acknowledgement financially supported from the National Natural Science Foundation of China (51202061, 51002046 and 21303030), the Natural Science Foundation for the Returned Overseas Scholars of Heilongjiang Province (LC2012C02), the Natural Science of Heilongjiang Province (B201308), the Research Fund of Heilongjiang Provincial Education Department (12511377 and 12521399), the Postdoctoral Science-Research Developmental Foundation of Heilongjiang Province (LBH-Q11015) and the Innovative Talents Program for the Returned Overseas Scholars of Harbin (2012RFLXG031), the Opening Project Foundation of Key Laboratory of Functional Inorganic Material Chemistry (Heilongjiang University), Ministry of Education.

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Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/c7ra06081e

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