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. 2021 Jul 8;11(39):24065–24071. doi: 10.1039/d1ra03456a

Sweetsop-like α-Fe2O3@CoNi catalyst with superior peroxidase-like activity for sensitive and selective detection of hydroquinone

Min Feng 1, Shaohua Wen 1, Xiaofang Chen 1, Die Deng 1, Xiupei Yang 1,, Run Zhang 2,
PMCID: PMC9036640  PMID: 35479004

Abstract

Hydroquinone (HQ) is poorly degradable in the ecological environment and is highly toxic to human health even at a low concentration. The colorimetric method has the advantages of low cost and fast analysis, which provides the possibility for simple and rapid detection of HQ. In this work, a new colorimetric method has been developed for HQ detection based on a peroxidase-like catalyst, α-Fe2O3@CoNi. This sweetsop-like α-Fe2O3@CoNi catalyst enables H2O2 to produce hydroxyl (˙OH), leading to the oxidization of colorless 3,3′,5,5′-tetramethylbenzidine (TMB) to blue oxTMB. In the presence of HQ, the blue oxTMB is reduced to colorless, which allows for colorimetric detection of HQ in water samples. This method has been validated by detecting HQ in water samples with high selectivity, rapid response, broad detection range (0.50 to 30 μM), and low detection limit (0.16 μM).


A sweetsop-like α-Fe2O3@CoNi catalyst with superior peroxidase-like activity was synthesized and successfully applied to the detection of hydroquinone (HQ) based on the colorimetric principle.graphic file with name d1ra03456a-ga.jpg

Introduction

Hydroquinone (1,4-dihydroxybenzene, HQ) is a phenolic compound widely used as an industrial reagent in cosmetics, dyes, plastics, textiles, rubber, medicine and other industries.1–3 During its industrial uses, the unavoidable contamination of the environment, especially water pollution, has threatened aquatic life.4 This compound is highly toxic to human health even at low concentrations and can cause damage to the skin, mouth, and respiratory system by inhalation.5–7 HQ is difficult to degrade in the ecological environment, and the accumulation of HQ caused by water discharge has always been a major environmental issue. HQ has been listed as a priority pollutant for aquatic environment monitoring by the US Environmental Protection Agency (EPA) and the European Union (EU).8 Therefore, HQ detection in water samples is essential for environmental regulation and human health. Currently, several methods have been developed for its detection, including electrochemiluminescence (ECL),9,10 high-performance liquid chromatography (HPLC),11,12 fluorometric method,13–15 gas chromatography-mass spectrometry (CG-MS),16 chemiluminescence (CL),17–19etc. However, HQ detection by these methods can only be achieved in well-equipped laboratories with the assistance of professional lab technicians, which makes them not suitable for quick and efficient determination of HQ in samples. In recent years, due to the convenience of the naked-eye colorimetric detection method, it is possible to easily and quickly visually inspect samples without any advanced equipment, which has gained considerable attention.20–22

Natural enzymes have high substrate specificity and activity and are widely used in medicine, chemical industry, food processing, agriculture, detection, and other fields.23–25 However, the application of natural enzymes is fundamentally limited by their intrinsic drawbacks.26,27 Unlike natural enzymes, artificial nanozymes have obvious advantages such as high stability, low cost, and easy scale up.28,29 Therefore, artificial nanozyme can be an ideal candidate for various enzymatic reactions.30,31 Since the report of Fe3O4 nanoparticles' peroxidase activity in 2007, the preparation and application of nanozymes have aroused great interest among researchers.32 In the past 20 years, a number of nanomaterials have been developed and used as artificial enzymes.33 These nanomaterials mainly include metal/metal oxide nanoparticles (NPs),34 metal–organic frameworks (MOFs),35 carbon nanomaterials,36etc. Iron oxide nanoparticles are one of the most typical nanoenzymes. They are widely used in biomedicine, biosensing and other fields due to their unique nanometer properties, stability and enzyme-like activity.37 As an emerging class of artificial nanozymes, nanomaterials with peroxidase mimetic activity have also been widely used in the development of sensors for the detection of aqueous contaminants.38,39 Nevertheless, it remains interests to develop artificial nanozymes for rapid and effective colorimetric sensing of organic substrates, such as HQ, because the selection of appropriate catalysts for oxidizing organic substrates to have colour changes is full of challenges.40

In this work, we report the development of a new peroxidase-like catalyst, α-Fe2O3@CoNi, and its application for colorimetric detection of HQ in water samples. The sweetsop-like α-Fe2O3@CoNi was prepared by the one-pot hydrothermal method. The as-synthesized α-Fe2O3@CoNi showed high peroxidase activity, stability and was successfully applied to the colorimetric detection of HQ through catalytic oxidation with 3,3′,5,5′-tetramethylbenzidine (TMB). The experimental results demonstrated that α-Fe2O3@CoNi could catalyze H2O2 to produce ˙OH which oxidized colorless TMB into blue oxTMB. The blue oxTMB be further reduced to TMB in the presence of HQ. Then a sensor for the colorimetric detection of HQ in water samples has been developed with α-Fe2O3@CoNi, H2O2 and TMB.

Experimental

Materials

Iron nitrate nonahydrate (Fe(NO3)3·9H2O), Cobalt nitrate hexahydrate (Co(NO3)2·6H2O), Ethylenediaminetetraacetic acid tetrasodium salt hydrate (Na4EDTA·xH2O), 3,3′,5,5′-tetramethylbenzidine (TMB), hydroquinone (HQ), catechol, resorcinol, phenol, o-nitrophenol, p-nitrophenol, glucose and other nitrate salts including (Ca2+, Cu2+, Zn2+, Mg2+, Co2+, Mn2+, Cd2+, Fe3+, Cl, SO42−, NO3) were purchased from Aladdin in China. Methanol, hydrogen peroxide (H2O2, 30%), Acetic acid (C2H4O2), sodium acetate anhydrous (NaAc), nickel nitrate hexahydrate (Ni(NO3)2·6H2O) were received from Chengdu Kelong Chemical Reagents Co. Ltd in China. The tap water and the river were collected from the laboratory and Jialing River of Nanchong, respectively.

Instrumentation

Transmission electron microscope (TEM) and mapping detected with an acceleration voltage of 200 kV on JEM-1200EX (JEOL, Tokyo, Japan). The scanning electron microscopy (SEM) and energy dispersive X-ray mappings (EDS) were performed on Hitachi S4800 (Hitachi Limited, Japan). X-ray photoelectron spectra (XPS) were obtained on a Thermo ESCALAB 250XI (Thermo Fisher Scientific, U.S.A.). The X-ray diffractometer (XRD) was measured using a Rigaku D/MAX-2550 (Rigaku, Japan) with Cu Ka radiation. The infrared spectra were acquired from a Nicolet 6700 Fourier transform infrared (FTIR) spectrometer (Thermo Electron Corporation, USA) with a passed KBr pellet at room temperature. All absorption spectra were detected by a Shimadzu UV-2550 UV-vis absorption spectrophotometer (Kyoto, Japan). Electron spin resonance (ESR) spectra were recorded using Bruker MS-5000 ESR spectrometer (Bruker, Germany).

Preparation of α-Fe2O3@CoNi

Sweetsop-like α-Fe2O3@CoNi were prepared by previous one-pot hydrothermal method reported with some minor modifications.41 Briefly, a certain amount of EDTA was dissolved in 12 mL ultrapure water to form solution A. A certain amount of Fe(NO3)3·9H2O, Co(NO3)2·6H2O, Ni(NO3)2·6H2O was dissolved in 8 mL ultrapure water to form a uniform mixture solution B. To solution A, solution B was slowly introduced under vigorously stirring. The resulting mixture was allowed to proceed for 10 minutes followed by the addition of 10 mL methanol. The aqueous solution obtained above was transferred to a Teflon-lined container and enclosed into a 100 mL stainless steel autoclave followed by heating at 180 °C for 12 h. After heating, the solution was cooled to room temperature and the solid sample was collected and dried under a vacuum after washing with ultrapure water. The product has a spherical shape with small particles on the surface, and its morphology is remarkably similar to that of sweetsop, so it was named as sweetsop-like α-Fe2O3@CoNi. Sweetsop is composed of many round or oval mature carpels connected together, and its aggregate berries are spherical or heart-shaped cones. Other single-metal composites (Co, Ni counterparts) were all fabricated through the same hydrothermal method as sweetsop-like α-Fe2O3@CoNi without adding the certain metal ions into solution B.

Peroxidase-like activity measurements and kinetic studies

The peroxidase-like catalytic activities of α-Fe2O3@CoNi nanozymes were investigated by the oxidation of TMB substrate in the presence of H2O2. All reactions were carried out in acetate buffer (0.20 M, pH = 6.0), and the absorbance at 652 nm was monitored using a UV-vis absorption spectrophotometer. The reactions were optimized under different α-Fe2O3@CoNi concentrations, TMB dosages, H2O2 dosages, reaction time, temperatures, type of buffer solution, buffer concentration and pH values. Use standard reaction conditions for steady-state kinetic determination, change the concentration of H2O2 (6.0–165.0 mM) at a fixed concentration of TMB (0.35 mM), and vice versa, change the concentration of TMB (0.25–2.5 mM) at a fixed concentration of H2O2 (130 mM). The Lineweaver–Burk plots is executed by the double reciprocal of the Michaelis–Menten equation to calculate the Michaelis constant (Km) and the Maximum response speed (Vmax).

Procedure for visual colorimetric determination of hydroquinone

Three milliliter of NaAc-HAc buffer (pH = 6.0), TMB (0.35 mM), H2O2 (30%, 40 μL), α-Fe2O3@CoNi (3 mg mL−1, 30 μL) and the different concentrations of hydroquinone solution were added to a 4 mL spectrophotometer cell. The mixture was further incubated at 20 °C for 14 min followed by monitoring the formation of an oxidation product of TMB at 652 nm using UV-vis spectrophotometry. In order to investigate the selectivity of this colorimetric assay, hydroquinone was replaced by other materials, and the same experimental operations were also conducted. Subsequently, the content of hydroquinone water samples was evaluated according to the same steps described above, of which the samples of hydroquinone were prepared by spiking different concentrations of hydroquinone in real water samples.

Results and discussion

Preparation and characterization of α-Fe2O3@CoNi nanoparticles

Sweetsop-like α-Fe2O3@CoNi was prepared by the hydrothermal method, and the experimental conditions were optimized with temperatures, reaction times as well as the dosages of nitrate and EDTA (Fig. S1). Fig. 1 shows the typical SEM image, TEM image, and element mapping images of sweetsop-like α-Fe2O3@CoNi. It clearly shows that α-Fe2O3@CoNi displays a uniformly spherical shape with a size of about 700 nm. The surface is covered by nanoparticles, like sweetsop (Fig. 1A) and confirmed by the TEM image (Fig. 1B). As shown in Fig. 1C–F, Fe, Co, Ni, and O are homogenously dispersed in nanomaterials, which is consistent with EDS results (Fig. S2). The marked diffraction peaks of crystalline α-Fe2O3@CoNi (Fig. 2A) are in good agreement with the well-established data (JCPDS 33-664). Sweetsop-like α-Fe2O3@CoNi, commercial Fe2O3 and EDTA were characterized using Fourier transform infrared (FT-IR) spectroscopy shown in Fig. S3. It is proved that there are abundant hydrophilic groups on the surface of α-Fe2O3@CoNi, such as O–H (3400 cm−1) and C Created by potrace 1.16, written by Peter Selinger 2001-2019 O (1600 cm−1), which endow them with excellent water dispersibility. The IR peak at 586 cm−1, can be attributed to the characteristic stretching vibration of the Fe–O bond.42 In addition, the absorption bands at 1340 cm−1 identified the presence of C–N bonds from EDTA. To further confirm the chemical composition and surface state of α-Fe2O3@CoNi, XPS spectra were used to analyze the surface elemental composition (Fig. 2C–F). The full-range XPS spectrum further confirmed that the elemental components of α-Fe2O3@CoNi are Fe, Co, Ni, O, and C (Fig. 2C). In the high-resolution spectrum of Fe 2p (Fig. 2D), the two peaks located at 710.5 eV and 724.6 eV correspond to Fe 2p3/2 and Fe 2p1/2 respectively, and the energy difference is 14.1 eV, which corresponds to Fe3+ in α-Fe2O3@CoNi. As exhibited in Fig. 2E, two characteristic peaks at 781.0 and 796.9 eV are observed in the Co 2p spectrum, which link to 2p3/2 and 2p1/2 doublet of Co2+ and Co3+, respectively. Meanwhile, the Ni2+ was confirmed by the Ni 2p3/2 (852.3 eV) and Ni 2p1/2 (876 eV) peaks in α-Fe2O3@CoNi (Fig. 2F).43 It further guaranteed that the Co and Ni on the surface of α-Fe2O3 were successfully immobilized.

Fig. 1. The SEM (A), HRTEM (B) and element mapping images (C–F) of sweetsop-like α-Fe2O3@CoNi.

Fig. 1

Fig. 2. (A) XRD pattern of α-Fe2O3@CoNi. (B) ESR spectra demonstrating ˙OH generation by H2O2 and α-Fe2O3@CoNi + H2O2. XPS survey spectra of sweetsop-like α-Fe2O3@CoNi (C). Fe 2p, Co 2p and Ni 2p XPS spectra of α-Fe2O3@CoNi, respectively (D–F).

Fig. 2

Peroxidase-mimetic activity of α-Fe2O3@CoNi

The peroxidase-like activities of the four nanomaterials: commercial Fe2O3, α-Fe2O3@Co, α-Fe2O3@Ni, and α-Fe2O3@CoNi were studied by UV-vis absorption spectrum. After incubating α-Fe2O3@CoNi with TMB in a buffer solution containing H2O2 for 14 min, intense absorption bands centered at 652 nm (Fig. S4) were observed and they were from the oxidation of TMB to oxTMB.44,45 The changes in solution from colorless to blue suggests the formation of oxTMB. In contrast, negligible changes of absorption spectra were observed after reacting of TMB with commercial Fe2O3, α-Fe2O3@Co and α-Fe2O3@Ni. The UV-vis data indicates that α-Fe2O3@CoNi has high catalytic activity for oxidation of TMB. At the same time, Fe2O3@Ni has a certain enzymatic activity, and the addition of Co adjusts the electronic structure to a certain extent, increases the electron transfer rate, and further improves its catalytic activity. The synergistic effect of Co, Ni, and α-Fe2O3 may be responsible for such high catalytic activity.

We then investigated the catalytic oxidation ability of α-Fe2O3@CoNi on the peroxidase substrate TMB to evaluate whether they can be applied as peroxidase mimics. As displayed in Fig. 3, TMB was oxidized to form a blue solution in the presence of H2O2 and α-Fe2O3@CoNi (inset in Fig. 3). A typical absorption peak of oxTMB centered at 652 nm (cuvette A in Fig. 3) was observed. Changes in UV-vis absorption spectra and solution color were not noticed for other groups, indicating that both H2O2 and α-Fe2O3@CoNi are required for TMB oxidation. Similar to horseradish peroxidase (HRP), α-Fe2O3@CoNi greatly enhanced the reaction of TMB with H2O2, indicating that the α-Fe2O3@CoNi can be considered as an efficient peroxidase mimic.

Fig. 3. Typical absorption spectra of the different solutions. (a) TMB + H2O2+α-Fe2O3@CoNi, (b) TMB + H2O2, (c) TMB + α-Fe2O3@CoNi, (d) H2O2 + α-Fe2O3@CoNi. Inset is the corresponding colorimetric photographs.

Fig. 3

Effects of pH and temperature on α-Fe2O3@CoNi-mediated catalytic oxidation were investigated and the results are shown in Fig. S5. Obviously, the catalytic activity of Fe2O3@CoNi is dependent on pH and temperature. α-Fe2O3@CoNi exhibits high catalytic activity at 20 °C and at pH 6 while others reported at 40–45 °C and at pH 4.5. Other experimental conditions on the catalytic oxidation of TMB in the α-Fe2O3@CoNi/H2O2 system were studied as well including the buffer solution (Fig. S6A and B), the amount of α-Fe2O3@C6oNi (Fig. S6C), the dosage of TMB (Fig. S6D), and H2O2 (Fig. S6E). The results suggested that the optimal conditions for catalytic oxidation of TMB were HAc-NaAc buffer (3 mL, pH 6), α-Fe2O3@CoNi (30 μL, 3 mg mL−1), TMB (70 μL, 15 mM), and H2O2 (40 μL, 30%).

Steady-state kinetics for α-Fe2O3@CoNi

In order to study the peroxidase-like activity of α-Fe2O3@CoNi, the apparent steady-state kinetic parameters of TMB oxidation were determined by changing the concentrations of H2O2 and TMB (Fig. 4), which is a similar strategy commonly used by HRP enzymes. Within the appropriate concentration range of H2O2 (Fig. 4A and B) and TMB (Fig. 4C and D), a typical Michaelis–Mentenlike curve was achieved. Based on the function of double-reciprocal Lineweaver–Burk plots (1/V = Km/Vmax × 1/[C] + 1/Vmax, where Vmax is maximum response speed and Km is an indicator of enzyme affinity toward its substrate. A lower Km indicates the stronger affinity between enzymes and substrates),46 Michaelis–Menten constant (Km) was 0.23, 0.42 mM for TMB and H2O2, respectively, and maximum initial velocity (Vmax) was 13.5 × 10−8 and 9.3 × 10−8 M s−1 for TMB and H2O2, respectively (Table S1). As can be seen from the table, α-Fe2O3@CoNi possesses smaller Km and higher Vmax than other nanozymes, indicating its outstanding peroxidase-like activity.

Fig. 4. Steady-state kinetic assay and catalytic mechanism of the reaction catalyzed by α-Fe2O3@CoNi. (A): TMB concentration was at 0.35 mM. (C): H2O2 concentration was at 130 mM. (B and D) Double-reciprocal Lineweaver–Burk plots of catalytic activity of α-Fe2O3@CoNi with the same concentration of one substrate (TMB or H2O2) and the other varied.

Fig. 4

Selective and sensitive colorimetric detection of HQ

Fig. 5A and B show the time-dependent scanning kinetic curve and UV-Vis spectra of the α-Fe2O3@CoNi in TMB/H2O2 system at different HQ dosages. The absorbance at 652 nm decreased significantly with the increasing HQ concentration, indicating that HQ successfully inhibited the oxidation of TMB. As shown in Fig. 5C, UV-vis absorption of the solution containing TMB, H2O2, and α-Fe2O3@CoNi were gradually reduced upon the addition of HQ. A good linear relationship (R2 = 0.996) was obtained when plotting the absorbance at 652 nm against the HQ concentration range of 0.50–30 μM. The detection limit 0.16 μM (0.018 mg L−1) is lower than the U.S. Environment Protection Agency estimated wastewater discharge limit of 0.5 mg L−1. Compared with other methods (Table S2), our approach has a higher sensitivity for HQ detection. The selective response of the proposed method for HQ detection over other ions and molecules was evaluated in the aqueous solutions containing TMB, H2O2 and α-Fe2O3@CoNi, 20-fold of potential interference species, including Fe3+, Cd2+, Ca2+, Mn2+, Mg2+, Cu2+, Co2+, Zn2+, Cl, SO42−, NO3, glucose, catechol, resorcinol, phenol, o-nitrophenol, p-nitrophenol, and glycine. Changes of the UV-vis absorbance ((A0A)/A0) were determined after 1 min incubation and presented in Fig. 6. As shown in Fig. 6, no significant changes in (A0A)/A0 were observed upon the addition of ions and molecules except HQ. Catechol has a similar structure to hydroquinone, which might interfere the HQ detection (Fig. S7). The interference from catechol may be minimized by using activated alumina as it has been reported that activated alumina can adsorb catechol. The optimum amount of alumina used was explored to not interfere with the detection of HQ while adsorbing catechol and the results are shown in Fig. S8.

Fig. 5. The Time-dynamics scanning spectrum (A) and the absorption spectra (B) of TMB + H2O2+ α-Fe2O3@CoNi system with different concentrations of HQ. (C)The absorption spectra of oxTMB with different HQ concentrations. (D)The linear calibration plot for HQ.

Fig. 5

Fig. 6. Effect of several metal ions and molecules on the chromogenic system and corresponding photograph (inset). From a to s are hydroquinone, glycine, resorcinol catechol, phenol, o-nitrophenol, p-nitrophenol, glucose, Zn2+, Co2+, Cu2+, Mg2+, Mn2+, Cl, SO42−, NO3, Ca2+, Cd2+, Fe3+, respectively.

Fig. 6

Further understanding of the detection mechanism

According to previous reports, the catalytic mechanism of nanozymes can be divided into two categories: one is the transfer of electrons between the substrate and H2O2, and the other is the active substance in the catalytic system.38,47 In order to study the catalytic mechanism, isopropanol (IPA) was added to the solution containing TMB, H2O2, and α-Fe2O3@CoNi. As a hydroxyl radical scavenger, IPA was often used to detect hydroxyl radicals in the oxidation process.48 As shown in Fig. S9, the absorption at 652 nm is significantly reduced after adding IPA (10 mM), which proves the generation of hydroxyl radicals (˙OH). At the same time, electron spin resonance (ESR) spectroscopy is used to explore the reaction mechanism and the active free radicals generated during the reaction. As shown in Fig. 2B, a characteristic signal peak of DMPO-HO˙ with an intensity of 1 : 2 : 2 : 1 was generated after the addition of α-Fe2O3@CoNi, indicating that α-Fe2O3@CoNi can catalyze H2O2 to produce ˙OH.49 Based on the experimental results and previous reports, the mechanism of the peroxide-like activity of α-Fe2O3@CoNi was proposed and illustrated in Fig. 7. H2O2 is first adsorbed on the surface of α-Fe2O3@CoNi, and then α-Fe2O3@CoNi promotes the decomposition of H2O2 to produce ˙OH, which can further oxidize TMB and produce blue substances. The addition of HQ reduces oxTMB to TMB, which is oxidized to p-benzoquinone.

Fig. 7. Colorimetric sensing mechanism of HQ.

Fig. 7

Determination of HQ in real samples

To validate the feasibility of the proposed method for HQ colorimetric detection in tap water and river water, HQ was spiked into them, and the concentration of HQ was measured thereafter. As shown in Table 1, the recoveries of HQ in spiked samples were in the range of 91.3–102.8%, with RSDs <5%. Such results demonstrated that the proposed method has good accuracy and precision for HQ detection in spiked water samples.

Analytical results of the HQ determination in spiked samples.

Sample Added (μM) Found (μM) Recovery (%) RSD (%, n = 5)
Tap water 2.50 2.57 ± 0.08 102.8% 1.75
7.50 6.85 ± 0.06 91.3% 1.75
22.50 21.07 ± 0.02 93.6% 4.60
Jialing water 2.50 2.53 ± 0.09 101.2% 4.94
7.50 7.27 ± 0.03 96.9% 3.63
22.50 22.44 ± 0.01 99.7% 4.47

Conclusions

Sweetsop-like α-Fe2O3@CoNi prepared by hydrothermal method was characterized by SEM, TEM, XRD, and XPS. An efficient and convenient HQ quantitative detection method was developed based on the peroxidase-like activity of α-Fe2O3@CoNi. This developed colorimetric method for HQ detection exhibited high sensitivity (detection limit 0.16 μM) and selectivity and was validated via spiked water samples.

Conflicts of interest

There are no conflicts to declare.

Supplementary Material

RA-011-D1RA03456A-s001

Acknowledgments

This work was financially supported by the National Natural Science Foundation of China (21777130, 41807210), the Natural Science Foundation of Sichuan Province of China (2019YJ0522, 2018JY0184), the Meritocracy Research Funds of China West Normal University (463132) and the Fundamental Research Funds of China West Normal University (416390).

Electronic supplementary information (ESI) available. See DOI: 10.1039/d1ra03456a

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RA-011-D1RA03456A-s001

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