DOI:
10.1039/D4RA07858F
(Paper)
RSC Adv., 2025,
15, 9997-10004
Cu-doped and 2-propylimidazole-modified nanoceria (CeO2@Cu-PrIm) oxidase-like nanozyme for total antioxidant capacity assay of fruits†
Received
4th November 2024
, Accepted 10th February 2025
First published on 1st April 2025
Abstract
The precise and sensitive quantification of total antioxidant capacity (TAC) is indispensable for evaluating the quality of foods rich in antioxidants. In this investigation, a novel nanozyme exhibiting robust oxidase activity was synthesized via a sonochemical doping process utilizing copper ions and the modification of 2-propylimidazole onto nanoceria. Subsequently, a CeO2@Cu-PrIm/ox-TMB assay system was successfully formulated, furnishing a practical and highly sensitive analytical tool for TAC determination. The colorimetric sensor exhibited a linear response over a concentration range of 1 μM to 70 μM, accompanied by a limit of detection (LOD) of 1.26 μM under meticulously screened conditions. This assay displayed substantial practical utility for TAC analysis in fruits, attributed to its exceptional accuracy and selectivity. This research endeavor may offer a novel direction for the design of nanozymes and colorimetric biosensors possessing heightened oxidase activity, thereby advancing the field of analytical chemistry and food science.
1. Introduction
There is accumulating evidence that links reactive oxygen species (ROS) and oxidative damage to a multitude of inflammatory and degenerative diseases, hence, mammals have evolved sophisticated antioxidant mechanisms to efficiently utilize oxygen while minimizing the adverse effects associated with its partially reduced forms.1 However, the human body cannot produce most antioxidants and thus they are supplemented by exogenous nutrients rich in antioxidants.2 Therefore, antioxidants in exogenous nutrients such as fruits should be quantitatively detected to help people regulate the intake of exogenous nutrients.3 Moreover, in contrast to the simple sum of measurable antioxidants, the concept of the integrated parameter of total antioxidant capacity (TAC) represents a comprehensive evaluation of the collective action of all antioxidants.4 Various techniques, including hydrogen atom transfer (HAT)-based oxygen radical absorbance capacity (ORAC) assay, electron transfer (ET)-based Folin-Ciocalteu (FC) assay, and ET-based Trolox equivalent antioxidant capacity (TEAC) assay, have been employed for the determination of TAC.5 These methods could be combined with other methods, such as spectroscopy,3,6,7 chromatography,8 and electrochemical techniques9 for quantitative analysis. However, these methods are often limited by the shortcomings of expensive and sophisticated instruments, being time-consuming, complicated operations, and the need for experienced experimenters. Hence, the imperative arises to devise an approach that embodies attributes like affordability, time efficiency, and user-friendliness, in order to circumvent certain constraints encountered in the detection of TAC.
The concept of nanozymes has garnered significant attention in the realm of nanomaterials, owing to their high stability, simple preparation at low costs, durability under harsh conditions, and diverse catalytic activities, compared with natural enzymes and artificial enzymes.10 Nanozyme is based on transition metal oxides,11 precious metals,12,13 metal–organic framework,14 etc, simulating catalytic activities of peroxidase,15 superoxide dismutase,16 and oxidase,17 etc. Furthermore, nanozymes have found extensive application in diverse domains such as in vitro sensing, heavy metal ions detection,18,19 imaging, therapeutics, waste water treatment,20–23 and various other interdisciplinary domains.24 Specifically, many nanozymes have been harnessed for the development of biosensors.25–28 Nanozymes with oxidase-like activity could avoid the interference of unstable hydrogen peroxide (H2O2) during the reaction process.29 However, only a few studies have assessed TAC through the oxidase activity of nanozymes.6,30
Herein, we disign and synthesis a novel nanozyme CeO2@Cu-PrIm NPs by bionic approach. The coordination between copper ions and imidazole presence in the active center of natrual laccase and other copper-based oxidoreductases, well cerium doped improved the oxidase activity of the material under acidic conditions. The CeO2@Cu-PrIm nanozyme could facilitate rapid electron transfer and could efficiently transform molecular oxygen (O2) to the superoxide anion (O2˙−). This strongly oxidizing intermediate then initiated the catalytic conversion of the colorless compound 3,3,5,5-tetramethylbenzidine (TMB) to the visually distinct blue oxidized TMB (ox-TMB), which exhibited the properties of absorbing light at a wavelength of 652 nm. Incorporating antioxidant substances into the CeO2@Cu-PrIm/TMB system enabled the detection of the TAC by monitoring alterations in absorbance.31 Taking into consideration these analyses, an uncomplicated colorimetric sensor for the determination of TAC was proposed (Scheme 1). Under the specified screened conditions, the colorimetric sensor exhibited a linear concentration range spanning from 1 μM to 70 μM, coupled with a limit of detection (LOD) of 1.26 μM which could show the great performance of our colorimetric sensor. Furthermore, the DPPH˙ free radicals scavenging experiment was used to substantiate the precision of our proposed TAC assay. In the end, the practical applicability of the reaction system of CeO2@Cu-PrIm/ox-TMB assay was demonstrated in the TAC detection of different fruits and health products (e.g. kiwi fruits, oranges, tomatoes, orange juice, and vitamin C tablets, etc.
 |
| Scheme 1 Schematic depicting the reaction system of CeO2@Cu-PrIm/ox-TMB assay for the determination of TAC. | |
2. Materials and methods
2.1. Materials and reagents
Ceric amine nitrate (Ce(NH4)2(NO3)6), copper chloride dihydrate (CuCl2·2H2O), methanol (CH3OH), 2-(N-morpholino) ethane sulfonic acid (MES), potassium (KCl), sodium chloride (NaCl), calcium chloride (CaCl2), magnesium chloride (MgCl2), zinc chloride (ZnCl2), glucose (Glu), maltose, fructose (Fru), galactose (Gal), imidazole, 2-methylimidazole, 2-ethyImidazole, 2-propylimidazole, and 2-butylimidazole were procured from Sinopharm Chemical Reagent Co. Ltd (China). Other reagents, including 3,3′,5,5′-tetramethylbenzidine (TMB), t-butyl alcohol, 2-furaldehyde (FFA) 1,1-diphenyl-2-picrylhydrazyl (DPPH), and ascorbic acid (AA) were procured from Aladdin Reagent Co. Ltd (China). All these purchased chemical reagents were analytical grade and did not undergo further purification. Kiwi fruits, oranges, tomatoes, and orange juice were sourced from a local store (Changchun, China). Additionally, three types of vitamin tablets were acquired from a local chemist's shop (Changchun, China).
2.2. Preparation and characterization of CeO2@Cu-PrIm
The synthesis of CeO2@Cu-PrIm via the sonochemical method incorporated aspects from our prior research on laccase-mimicking MOFs.32 Briefly, 0.2557 g (1.5 mmol) of CuCl2·2H2O and 1.1016 g (10 mmol) of 2-propylimidazolewere dissolved in a mixture of 5 mL methanol and 15 mL deionized (DI) water. Then, 0.2741 g (0.5 mmol) of Ce(NH4)2(NO3)6 and 1.1016 g (10 mmol) of 2-Propylimidazole were also dissolved in a mixture of 5 mL methanol and 15 mL DI water. The two solutions were then slowly mixed and ultrasonicated for 60 minutes. The mixture after ultrasound was centrifuged at 10
000 rpm for 10 minutes and washed thrice with DI water to eliminate the soluble reactants. Finally, the precipitation was freeze-dried for 24 hours. Notably, the synthesis of all nanozymes in this study adhered to a similar procedure, with the sole variation being the doping ratio of copper and cerium metal ions, while maintaining a constant molar amount of 2 mmol of the metal ions.
The morphology and size of the prepared CeO2@Cu-PrIm were characterized utilizing a JEM-2200FS field emission electron microscope (TEM). A Nicolet-6700 IR spectrometer (Thermo Scientific, MA, Waltham, USA) was used to detect Fourier transform infrared spectrophotometer (FTIR) spectra at 4000–400 cm−1. An X-ray photoelectron spectroscopy (XPS) model ESCALAB250XI (Thermo Scientific, MA, Waltham, USA) with a monochromated Al Kα source was used for XPS. Ultraviolet-visible (UV-vis) spectra were analyzed by UV2501PC (SHIMADZU, Shanghai, China). Empyrean (PANalytical B.V., Netherlands) and Bruker EMXplus (Beijing, China) were used to assess X-ray diffraction (XRD) patterns and Electron spin resonance spectroscopy (ESR), respectively.
2.3. Oxidase-like activity of the CeO2@Cu-PrIm
The oxidase-like activity of CeO2@Cu-PrIm was evaluated using TMB as the chromogenic substrate for the colorimetric assay.33 Typically, the TMB solution (100 μL, 10 mM), the CeO2@Cu-PrIm solution (100 μL, from 0 to 600 μg mL−1), and the MES solution (800 μL, pH 4.0, 30 mM) were mixed thoroughly and then allowed to react at indoor temperatures. The UV-vis spectroscopic measurements were then employed to acquire the absorbance values at 652 nm within the reaction system. Subsequently, the oxidase-like activity was tested as a function of copper and cerium metal ion doping ratio (only Cu, 3
:
1, 1
:
1, 1
:
3, only Ce), nanozyme concentration (0, 10, 20, 30, 40, 50, 60 μg mL−1), reaction time (from 0 to 1200 s), or pH (from 2 to 9) change.
2.4. Steady-state kinetic experiments
The steady-state kinetic experiments of CeO2@Cu-PrIm. Typically, the TMB solution (100 μL, 5 to 50 mM), the CeO2@Cu-PrIm solution (100 μL, 500 μg mL−1), and the MES solution (800 μL, pH 4.0, 30 mM) were mixed thoroughly and then allowed to incubate at indoor temperatures. The absorbance values at 652 nm of the reaction system were monitored immediately via UV-vis spectroscopy measurement. The Michaelis constant (Km) and maximal reaction velocity (Vmax) were determined by fitting the initial reaction velocity with the substrate concentration. The initial reaction velocity of the Michaelis–Menten equation was as follows:34,35
ν = Vmax × [S]/(Km + [S]) |
where ν represents the initial reaction velocity, Vmax signifies the maximal reaction velocity, which was characterized by the slope of the concentration–time curve within the initial time, Km represents the Michaelis constant, and [S] stands for the substrate concentration.
2.5. Colorimetric detection of antioxidant
Ascorbate acid (AA) was selected as a representative antioxidant for colorimetric detection.36 Typically, the TMB solution (100 μL, 10 mM), CeO2@Cu-PrIm solution (100 μL, 500 μg mL−1), AA (100 μL, from 0 to 80 μM), and the MES solution (700 μL, pH 4.0, 30 mM) were mixed thoroughly followed by an incubation period of 20 minutes at indoor temperatures. The UV-vis spectroscopic measurements were employed to collect the absorbance values at 652 nm. The range of AA concentration in the reaction that was linear with the absorbance at 652 nm was used as the linear range and provided the data interval for the calculation of the detection limit.
The detection accuracy of the reaction system of CeO2@Cu-PrIm/ox-TMB assay was verified using the 1,1-diphenyl-2-picrylhydrazine (DPPH˙) free radicals scavenging experiment.6,37 Briefly, a solution containing 100 μM of DPPH˙ was prepared by dissolving it in absolute ethyl alcohol. Subsequently, 100 μL of AA (ranging in concentration from 0 to 70 μM) was promptly introduced to 900 μL of the aforementioned solution. The mixture was then left to incubate in darkness at room temperature for a duration of 30 minutes. Subsequently, the UV-vis spectroscopic measurements were employed to acquire the absorbance values at 517 nm within the reaction system. The detection of antioxidants was carried out through the linear relationship between the ratio of DPPH˙ free radicals scavenged and the concentration of AA.
2.6. Detection for TAC of real samples
For the TAC detection using the reaction system of CeO2@Cu-PrIm/ox-TMB assay, real samples (vitamin C tablets, kiwi fruit, orange, tomato, and orange juice) were utilized instead of AA, thus assessing the practical applicability of the method. The concentrations of these real samples were adjusted to fall within the linear range of the AA assay. Typically, the TMB solution (100 μL, 10 mM), the sample solution (100 μL), the CeO2@Cu-PrIm solution (100 μL, 500 μg mL−1), and the MES solution (700 μL, 30 mM, pH 4.0) were mixed thoroughly followed by an incubation period of 20 minutes at indoor temperatures. Subsequently, the absorbance values of the resultant mixture were measured at 652 nm and were incorporated into the standard curve of the AA assay and converted to millimolar equivalents of AA. Ultimately, the determination of TAC content in the samples was achieved by multiplying the millimolar equivalents of AA by a specific dilution ratio, employing the millimolar equivalent of AA per liter (mmol AA per L) as the unit for expression.
3. Results and discussion
3.1 Characterizations of CeO2@Cu-PrIm
The synthesis of CeO2@Cu-PrIm utilizing the sonochemical method as illustrated in Fig. 1a. Initially, a mixed solution containing copper ions and 2-propylimidazole served as the precursor for the metal–organic framework.38,39 Secondly, CeO2 was confined within the Cu-PrIm NPs during crystallization. The CeO2@Cu-PrIm nanozymes aggregated into larger particles, which were formed by the coagulation of fine crystals.39 The morphology and size of the CeO2@Cu-PrIm were obtained through TEM and HRTEM. The former image suggested a cubic fluorite structure of CeO2@Cu-PrIm (Fig. 1b), and the latter image showed that the crystallographic spacing of the (111) crystal plane of CeO2 increased from 0.3123 nm to 0.317 nm and the (220) crystal plane raised from 0.191 nm to 0.197 nm after doping with copper and 2-Propylimidazole (Fig. 1c).40
 |
| Fig. 1 Preparation and characterization of CeO2@Cu-PrIm. (a) Schematic depicting the synthesis process. (b) TEM image of CeO2@Cu-PrIm. (c) HRTEM image of CeO2@Cu-PrIm. (d) XRD pattern. (e) FT-IR spectral analysis. (d) and (e) Contained samples synthesized using different copper and cerium metal ion doping ratios and the grey line represented CeO2@Cu-PrIm. | |
To further explore the structure and functional groups of the as-prepared CeO2@Cu-PrIm, XRD pattern, and FT-IR spectroscopy were conducted. The diffraction peaks of the XRD pattern were consistent with those of CeO2 (Fig. 1d). The obvious differences in the XRD pattern could be attributed to the possible differences between the structure of CeO2@Cu-PrIm and CeO2 caused by the addition of copper ions and 2-propylimidazole.40,41 The functional groups of the as-prepared CeO2@Cu-PrIm nanozyme were identified by the FT-IR spectra characterization. The peak at 1569 cm−1 was attributed to the N–H stretching vibration of the imidazole ring (Fig. 1e). The intricate and intense bands between the 1350–1500 cm−1 spectral range were associated with the stretching of the entire ring. The in-plane bending of the imidazole ring was associated with the band between the spectral range 900 and 1350 cm−1, while the out-of-plane bending vibration of the imidazole ring was associated with the band between the spectral range 674 and 746 cm−1.32,42 The peak at 540 cm−1 was attributed to a new active site Cu–O–Ce bonds that represents alterations in the original electron distribution and catalytic performance.43
In addition, the surface elements and corresponding valence states of the prepared CeO2@Cu-PrIm were analyzed via XPS. The Cu 2p, Ce 3d, O 1s, N 1s, and C 1s peaks in the spectrum occurred at 930 eV, 900 eV, 532 eV, 400 eV, and 286 eV, respectively (Fig. S1†). Based on the high-resolution Cu 2p spectrum, the four peaks of 934.34 eV, 932.66 eV, 954.47 eV, and 952.52 eV were attributed to the Cu2+ 2p1/2 peak, Cu+ 2p1/2 peak, Cu2+ 2p3/2 peak and Cu+ 2p3/2 peak respectively (Fig. 2a). In addition, the bending energy of Cu 2p was attributed to the transition metal-induced oscillatory satellite peaks.44 Quite close characteristic peaks were found by reference Cerium. The appearance of peaks at 880.24 eV, 885.3 eV, 898.0 eV, and 906.94 eV for Ce3+, while other peaks at 882.39 eV, 888.32 eV, 900.67 eV, 903.39 eV, 910.4 eV, and 916.39 eV were attributed to Ce4+ (Fig. 2b).45 The N element is displayed (Fig. 2c). The peaks at 398.8 eV and 400 eV were the pyridinic N and pyrrololic N of the propylimidazole, and the peak at 400.6 eV might be due to the corresponding copper ions and N. The O element was also shown (Fig. 2d). The peak at 531.47 eV was the O vacancy, and the peak at 528.97 eV was the CeO2 crystal lattice. The change in the valence state of cerium might be due to copper doping breaking the CeO2 crystal lattice, and oxygen vacancies were generated at the same time.32 The above results indicated that Cu-doped and propylimidazole-modified nanoceria (CeO2@Cu-PrIm) with potential oxidase-like mimetic activity were successfully synthesized.
 |
| Fig. 2 The XPS spectra of CeO2@Cu-PrIm. (a) Cu 2p. (b) Ce. 3d (c) N 1s. (d) O 1s. | |
Subsequently, the batch stability, storage stability, and reusability of the oxidase-like catalytic of CeO2@Cu-PrIm were evaluated. The CeO2@Cu-PrIm exhibited very similar catalytic activities among five different batches (Fig. S2a†), and there was no remarkable change in catalytic activity during storage for 30 days (Fig. S2b†). Furthermore, there was no significant disparity in catalytic activity between the pre-centrifugation and post-centrifugation states (Fig. S3†), suggesting that the catalytic activity was not significantly contributed by dissolved metal ions. These results proved that the oxidase-like activity of CeO2@Cu-PrIm had great attributes with batch stability, storage stability, and reusability, which provided an important basis for the advancement of stable and highly responsive colorimetric sensors.
3.2. Oxidase-like activity and screening catalytic conditions of CeO2@Cu-PrIm
To evaluate the oxidase-like activity and identify optimal catalytic conditions for CeO2@Cu-PrIm, the synthesized material was assessed using TMB as a chromogenic substrate. The absorbance of theCeO2@Cu-PrIm/ox-TMB reaction system at 652 nm was observed to vary based on the metal doping ratio and the pH gradient (Fig. 3a). Notably, within the pH range of 4 to 7, the catalytic activity of the nanozymes increased as the pH decreased, with the exception of nanozymes that did not contain cerium. Among these, the material with a metal doping ratio of 3
:
1 exhibited the highest catalytic activity at a pH of 4, thereby establishing the metal doping ratio for subsequent use. The absorption peak of the CeO2@Cu-PrIm/TMB system was identified at 652 nm (Fig. 3b). However, this absorption peak was absent in control groups lacking either TMB or CeO2@Cu-PrIm, indicating the specificity of the reaction. Furthermore, previous studies have suggested a correlation between the catalytic efficiency of oxidases and the dissolved oxygen levels within the system, suggesting that this factor may also play a role in the catalytic performance of CeO2@Cu-PrIm.46 Therefore, the catalytic mechanism of CeO2@Cu-PrIm was investigated through a comparative analysis of the intensity of absorption peaks at specific wavelengths in nitrogen (N2) and air atmospheres, respectively (Fig. 3c). The results indicated that the introduction of N2 had the capacity to inhibit the catalytic activity. The above findings confirmed the oxidase-like activity of CeO2@Cu-PrIm, thereby underscoring its potential as an effective mimic of oxidase.47
 |
| Fig. 3 Oxidase-like activities and optimal catalytic conditions of CeO2@Cu-PrIm. (a)The oxidase-like catalytic activity of CeO2@Cu-PrIm was found to be influenced by the metal doping ratio and pH when using 1 mM TMB as the substrate. (b) UV-vis absorbance spectra demonstrated the catalytic impact of CeO2@Cu-PrIm on 10 mM TMB, with a reaction time of 20 minutes. The catalytic oxidation of 100 μL solutions of 10 mM TMB by the as-prepared CeO2@Cu-PrIm in a pH 4.0 MES buffer was depicted in the typical photographs accompanying visuals (from left to right: 0 mM TMB with CeO2@Cu-PrIm, 1 mM TMB without CeO2@Cu-PrIm, 1 mM TMB with CeO2@Cu-PrIm). (c) UV-vis absorption spectra of CeO2@Cu-PrIm in N2-saturated, and air-saturated MES acid buffer. The catalytic oxidation was depicted in the typical photographs accompanying visuals (from left to right: N2-saturated, air-saturated). The catalytic activity of CeO2@Cu-PrIm with 1 mM TMB was influenced by the (d) nanozyme concentration (e) reaction time and (f) pH. | |
The impact of the concentration of CeO2@Cu-PrIm on the oxidase-like activity was assessed across the spectra from 0 to 60 μg mL−1 (Fig. 3d). Moreover, an escalation in oxidase-like activities was clearly observed in relation to the concentration of CeO2@Cu-PrIm was shown (Fig. S4†). Due to the gradual slowing of the increase in oxidase-like activity caused by the increase in concentration, the concentration of 50 μg mL−1 was used as the optimal concentration of CeO2@Cu-PrIm in the subsequent catalytic system. In order to obtain great detection stability, the reaction time was selected as 20 min (Fig. 3e). The high catalytic activity of CeO2@Cu-PrIm was obtained in the pH within the range of 2.0 to 5.0, with the optimal pH being 4.0 (Fig. 3f). According to the screening results of the above experimental conditions, some experimental conditions were unified in the subsequent experiments, the concentration of CeO2@Cu-PrIm was 50 μg mL−1, the pH of the MES solution was 4.0, and the reaction time was standardized to 20 minutes.
3.3. The steady-state kinetic assays of CeO2@Cu-PrIm
To obtain kinetic constants of CeO2@Cu-PrIm, the steady-state kinetic assays were conducted under the specified screened conditions. Typical kinetic constants include the Michaelis constant (Km) and maximum reaction velocity (Vmax). The typical Michaelis–Menten curve for CeO2@Cu-PrIm was obtained by fitting the substrate concentration TMB (0.5 to 5 mM) from the results of steady-state kinetic assays with the corresponding initial reaction velocity data (Fig. 4a). The corresponding Lineweaver–Burk plot was also obtained using the reciprocal of the data, where the slope and y-intercept facilitated a direct calculation of the Km and Vmax (Fig. 4b).
 |
| Fig. 4 The steady-state kinetic assays of CeO2@Cu-PrIm. (a) The steady-state kinetic assays across a range of TMB concentrations (from 0.5 to 5 mM) in a pH 4.0 MES solution. (b) The corresponding Lineweaver–Burk plot of CeO2@Cu-PrIm. | |
The Km and Vmax of the oxidase-like activity of CeO2@Cu-PrIm were 6.521 mM and 77.45 × 10−8 M s−1, respectively (Table S1†). Interestingly, despite the higher Km value, the Vmax value of CeO2@Cu-PrIm was higher than the previously reported nanoceria nanozymes. This demonstrated the advantage of our synthetic method in the rational design of nanoceria with high oxidase properties (Table S2†).
3.4. Catalysis mechanism of oxidase-like activity exhibited by CeO2@Cu-PrIm
To elucidate the catalytic mechanism underlying the observed oxidase-like activity exhibited by CeO2@Cu-PrIm, free-radical quencher experiments and ESR spectroscopy were performed to confirm the possible important free radicals in the catalytic reaction. The free radical quenchers introduced into the detection system in the free radical quencher experiment include t-butyl alcohol used to quench ˙OH, 2-Furaldehyde (FFA) used to quench 1O2, and ascorbic acid used to quench ˙OH and O2˙−, respectively.48 The results showed that the relative activity of the quenched ˙OH or 1O2 reaction system was not significantly affected, while the activity of the quenched O2˙− reaction system experienced a significant reduction. This observation underscored the pivotal role played by the intermediate product O2˙− free radicals in the catalytic (Fig. 5a). ESR spectroscopy experiments were used to further confirm the generation of O2˙− radicals. The characteristic ESR peak patterns of TEMPO/O2˙− adduct, characterized by an intensity ratio of 1
:
1:1
:
1, provided evidence that the O2˙− radicals were generated in CeO2@Cu-PrIm methanol solution (Fig. 5b). Oxygen vacancies could provide hole electrons to activate oxygen to superoxide anion, so the peculiar patterns of O vacancies were illustrated (Fig. 5c and d). Oxygen vacancies could provide hole electrons to activate oxygen to superoxide anion.
 |
| Fig. 5 Determination of possible catalytic mechanisms. (a) Free-radical quencher experiments of AA, FFA, and t-butyl alcohol. (b) ESR peak patterns of TEMPO/O2˙–. (c) and (d) ESR spectrum of O vacancy. | |
Binding sites of oxygen for the catalytic process could be provided by the O vacancies. The reaction was as follows:
In some previous studies on Ce-based materials, the possible mechanism of the oxidase-like activity was attributed to the Ce3+/Ce4+ system with the attitude of spontaneous cycling existing in Ce-based materials.31,49 In our work, the oxidase-like activity observed for CeO2@Cu-PrIm might also be attributed to the Ce3+/Ce4+ system retained by Ce-based materials. During the catalytic process, TMB was oxidized by Ce4+ and transformed into ox-TMB. The imbalance caused by the increase of Ce3+ and the decrease of Ce4+ in the Ce3+/Ce4+ system would be restored by the spontaneous cycle between Ce3+ and Ce4+. The Cu+/Cu2+ system might play a synergistic role in this process (Fig. S1†).
In this study, the findings revealed that the oxidase-like activity of CeO2 was bolstered through the incorporation of copper doping and the modification with 2-propylimidazole. The underlying mechanism behind this enhanced catalytic activity can be attributed to two primary factors. Firstly, Cu2+, serving as a low-valence dopant, substituted Ce4+ in the lattice, resulting in the creation of electron vacancies on the O anions. This substitution facilitated the generation of oxygen vacancies within CeO2 (as illustrated in Fig. 2d and 5d). These oxygen vacancies in oxidase mimic species are postulated to enhance the material's affinity for oxygen, which in turn amplifies its catalytic activity.50 Secondly, prior research has indicated that the modification with imidazole can alter the electronic state of Ce in Ce-based materials. This electronic state adjustment improves the material's affinity for oxygen, further contributing to the enhanced catalytic performance.41
The potential reaction mechanisms were proposed (Scheme 2). Since CeO2@Cu-PrIm had multiple oxidation states Ce3+/Ce4+, Cu+/Cu2+, this was conducive to the metal ions transferring the electrons to O2 to form O2˙−. This strongly oxidizing intermediate transferred the electrons to TMB. Therefore TMB completed the transformation into ox-TMB. The detection of antioxidants could be accomplished through the difference in absorbance caused by electron transfer between antioxidants and ox-TMB.
 |
| Scheme 2 The potential reaction mechanisms for the reaction system of CeO2@Cu-PrIm/ox-TMB assay. | |
3.5. Detection of the typical antioxidant
To conduct the detection of antioxidants, ascorbic acid (AA) was selected as a representative of typical antioxidants for detection for the purpose of this study. Antioxidants could inhibit reactions based on the activity of oxidase-like enzymes, where the concentration of antioxidants could be deduced from the degree of inhibition. A colorimetric assay was carried out under the specified screened conditions (Fig. 6a). As AA was introduced into the reaction system, the characteristic peaks corresponding to the oxidized TMB exhibited a gradual reduction in intensity with increasing concentrations of AA. The relationship between the difference in absorbance at 652 nm from its initial value in relation to the varying AA concentration was illustrated and the inset highlights a strong inear correlation between the change in absorbance and AA concentration across the range of 1 to 70 μM (Fig. 6b). Further, the equation derived from the measured data, y = 1.62004–0.01174× (with an R2 value of 0.9969) described the detection of AA very well. The limit of detection (LOD) for this colorimetric AA detection method was determined to be 1.26 μM, calculated using the 3S/N formula as a basis.31 All these results provided vigorous evidence that the reaction system of the CeO2@Cu-PrIm/ox-TMB assay was capable of detecting the antioxidant with satisfactory sensitivity. Besides, our work had a better LOD and linear range when contrasted with certain other reported nanozymes. This observation reinforces the notion that our method was poised to excel as a well-performing approach in TAC assays (Table S2†).
 |
| Fig. 6 Detection of the typical antioxidant. (a) UV-vis absorbance spectra encompass concentrations ranging from 0 to 70 μM. (b) The alteration in absorbance at 652 nm with AA concentration and the inset the linear dependence of change in absorbance on the AA concentration from 1 to 70 μM. | |
To further validate the accuracy of the reaction system of CeO2@Cu-PrIm/ox-TMB assay proposed in this study for colorimetric antioxidant detection, the DPPH˙ free radicals scavenging experiment with good performance in TAC detection was selected for the assessment. The results within the same AA concentration range (Fig. S5†) also demonstrated a good linear correlation (with an R2 value of 0.9903) and a LOD of 1.35 μM. In summary, our suggested CeO2@Cu-PrIm/ox-TMB-based approach proved to be dependable for the quantitative determination of antioxidants using colorimetric detection.
To explore the selectivity of the reaction system of CeO2@Cu-PrIm/ox-TMB assay for the detection of antioxidants, the interference ability of some potential substances that might interfere with the detection was evaluated by the interfering substances, including K+, Na+, Mg2+, Ca2+, Cl−, glucose, maltose, fructose, galactose, imidazole, 2-methylimidazole, 2-ethylimidazole, 2-propylimidazole and 2-buthylimidazole. Except for imidazole and 2-methylimidazole, various interferents produced some insignificant interference in the detection of antioxidants, demonstrating the selectivity of the assay in detecting antioxidants (Fig. S6†). In summary, the above results verified the potential of the reaction system of CeO2@Cu-PrIm/ox-TMB assay for TAC determination of real samples.
3.6. Detection of TAC of real samples
To further validate the practicability of the reaction system of CeO2@Cu-PrIm/ox-TMB assay in TAC detection, we applied this method to several real samples of different vitamin C tablets and fruits. The TAC content of the different vitamin C tablets was initially assessed using the reaction system of CeO2@Cu-PrIm/ox-TMB assay and validated by the DPPH˙ measurement method. The TAC contents obtained by the two detection methods were closely aligned with the established AA standard specifications found in vitamin C tablets (Fig. 7a and S7†). Under identical conditions, the TAC contents of kiwi fruit, orange, tomato, and orange juice were evaluated, which were basically consistent with the values obtained by the DPPH˙ measurement method (Fig. 7b). These results demonstrated the practical applicability of the proposed reaction system of CeO2@Cu-PrIm/ox-TMB assay relative to the TAC detection of real samples such as fruits.
 |
| Fig. 7 Detection of TAC using the proposed assay. (a) TAC detection of different vitamin C tablets, validating method accuracy by comparing against known vitamin C tablet specifications. (b) TAC detection of various samples, including kiwi fruit, orange, tomato, and orange juice. | |
4. Conclusions
In conclusion, the CeO2@Cu-PrIm obtained by our simple synthetic method was to be an oxidase-like nanozyme for TAC detection. CeO2@Cu-PrIm had oxidation states of Ce3+/Ce4+, Cu+/Cu2+. Notably, the presence of a multi-state cycle facilitated the efficient electron transfer from metal ions to O2 to form O2˙−. Based on the proposed mechanism, a TAC detection method represented by AA was proposed in this study, The colorimetric sensor exhibited a linear response over a concentration range of 1 μM to 70 μM, accompanied by a limit of detection (LOD) of 1.26 μM The accuracy and selectivity of the reaction system of CeO2@Cu-PrIm/ox-TMB assay in real samples were investigated via anti-interference experiments, real samples, with reference to the corresponding specifications or the results of the DPPH˙ radical assay method. This proposed detection method was assessing TAC within real samples, such as fruits, which showed great potential for expansion into analytical assay applications.
Data availability
The authors declare that the data supporting the findings of this study are available within the paper and its ESI† files. Should any raw data files be needed in another format they are available from the corresponding author upon reasonable request. Source data are provided with this paper.
Author contributions
Zhendong Fu: writing – original draft, methodology, formal analysis. Jiahe Qiu: writing – original draft, methodology, formal analysis. Ping Gong: conceptualization, supervision. Danhong zhang: conceptualization, supervision. Liping Wang: conceptualization, writing – review & editing, supervision.
Conflicts of interest
There are no conflicts to declare.
Acknowledgements
We thank the National Natural Science Foundation of China, China and Science and technology development program of Jilin Province (No. 20200301029RQ, No. 20200404114YY). We thank the Education department of Jilin Province (No. JJKH20211211KJ); the Science and Technology Project of Jilin Provincial Education Department (No. JJKH20221047KJ). The Open Project of State Key Laboratory of Supramolecular Structure and Materials (No. sklssm2024029)
Notes and references
- B. Halliwell and J. M. C. Gutteridge, Arch. Biochem. Biophys., 1990, 280, 1–8 Search PubMed.
- L.-T. Sheng, Y.-W. Jiang, L. Feng, A. Pan and W.-P. Koh, The Journals of Gerontology Series A, 2022, 77, 561–569 Search PubMed.
- J. Li, Y. Zhou, Y. Xiao, S. Cai, C. Huang, S. Guo, Y. Sun, R.-B. Song and Z. Li, Food Chem., 2023, 405, 134749 Search PubMed.
- A. Ghiselli, M. Serafini, F. Natella and C. Scaccini, Free Radic. Biol. Med., 2000, 29, 1106–1114 CAS.
- R. L. Prior, X. Wu and K. Schaich, J. Agric. Food Chem., 2005, 53, 4290–4302 Search PubMed.
- X. Han, L. Liu, H. Gong, L. Luo, Y. Han, J. Fan, C. Xu, T. Yue, J. Wang and W. Zhang, Food Chem., 2022, 371, 131115 CrossRef CAS PubMed.
- N. Song, M. Zhong, J. Xu, C. Wang and X. Lu, Sens. Actuators, B, 2022, 351, 130969 Search PubMed.
- V. Spínola, J. Pinto and P. C. Castilho, Food Chem., 2015, 173, 14–30 CrossRef PubMed.
- I. de Araújo Rodrigues, S. M. C. Gomes, I. P. G. Fernandes and A. M. Oliveira-Brett, Electroanalysis, 2019, 31, 936–945 CrossRef.
- X. Yan and L. Gao, Nanozymology, Springer, 2020 Search PubMed.
- S. Fan, M. Zhao, L. Ding, H. Li and S. Chen, Biosens. Bioelectron., 2017, 89, 846–852 CrossRef CAS PubMed.
- X. Shen, W. Liu, X. Gao, Z. Lu, X. Wu and X. Gao, J. Am. Chem. Soc., 2015, 137, 15882–15891 CAS.
- J. Li, W. Liu, X. Wu and X. Gao, Biomaterials, 2015, 48, 37–44 CAS.
- A. Yuan, Y. Lu, X. Zhang, Q. Chen and Y. Huang, J. Mater. Chem. B, 2020, 8, 9295–9303 Search PubMed.
- L. Gao, J. Zhuang, L. Nie, J. Zhang, Y. Zhang, N. Gu, T. Wang, J. Feng, D. Yang, S. Perrett and X. Yan, Nat. Nanotechnol., 2007, 2, 577–583 CAS.
- C. Korsvik, S. Patil, S. Seal and W. T. Self, Chem. Commun., 2007, 1056–1058 RSC.
- A. Asati, S. Santra, C. Kaittanis, S. Nath and J. M. Perez, Angew. Chem., Int. Ed., 2009, 48, 2308–2312 CAS.
- A. Ahmed, A. Singh, B. Padha, A. K. Sundramoorthy, A. Tomar and S. Arya, Chemosphere, 2022, 303, 135208 CAS.
- A. Singh, S. S. Shah, C. Sharma, V. Gupta, A. K. Sundramoorthy, P. Kumar and S. Arya, J. Environ. Chem. Eng., 2024, 12, 113032 CAS.
- A. Dubey, A. Singh, A. Sharma, A. K. Sundramoorthy, R. Mahadeva, V. Gupta, S. Dixit and S. Arya, Appl. Phys. A:Solids Surf., 2023, 129, 692 CAS.
- H. C. S. Perera, V. Gurunanthanan, A. Singh, M. M. M. G. P. G. Mantilaka, G. Das and S. Arya, J. Magnesium Alloys, 2024, 12, 1709–1773 CAS.
- A. Singh, A. Ahmed, A. Sharma, C. Sharma, S. Paul, A. Khosla, V. Gupta and S. Arya, Phys. B, 2021, 616, 413121 CrossRef CAS.
- B. Singh, A. Singh, A. Sharma, P. Mahajan, S. Verma, B. Padha, A. Ahmed and S. Arya, J. Mol. Struct., 2022, 1255 Search PubMed.
- J. Wu, X. Wang, Q. Wang, Z. Lou, S. Li, Y. Zhu, L. Qin and H. Wei, Chem. Soc. Rev., 2019, 48, 1004–1076 RSC.
- X. Cao and N. Wang, Analyst, 2011, 136, 4241–4246 RSC.
- Q. Fu, N. Wang, C. Zhou and X. Su, Talanta, 2024, 266, 124991 CrossRef CAS PubMed.
- H. Huang, M. Li, M. Hao, L. Yu and Y. Li, Talanta, 2021, 235, 122775 CrossRef CAS PubMed.
- V.-D. Doan, V.-C. Nguyen, T.-L.-H. Nguyen, A.-T. Nguyen and T.-D. Nguyen, Spectrochim. Acta, Part A, 2022, 268, 120709 CrossRef CAS PubMed.
- J. Wu, Q. Yang, Q. Li, H. Li and F. Li, Anal. Chem., 2021, 93, 4084–4091 CrossRef CAS PubMed.
- X. Geng, R. Xue, F. Liang, Y. Liu, Y. Wang, J. Li and Z. Huang, Talanta, 2023, 259, 124565 CrossRef CAS PubMed.
- L. Luo, L. Huang, X. Liu, W. Zhang, X. Yao, L. Dou, X. Zhang, Y. Nian, J. Sun and J. Wang, Inorg. Chem., 2019, 58, 11382–11388 CrossRef CAS PubMed.
- Z. Fu, F. Guo, J. Qiu, R. Zhang, M. Wang and L. Wang, Spectrochim. Acta, Part A, 2022, 281, 121606 CAS.
- M. Wu, Y. Lv and Z. Lin, Spectrochim. Acta, Part A, 2022, 282, 121683 Search PubMed.
- B. Jiang, D. Duan, L. Gao, M. Zhou, K. Fan, Y. Tang, J. Xi, Y. Bi, Z. Tong, G. F. Gao, N. Xie, A. Tang, G. Nie, M. Liang and X. Yan, Nat. Protoc., 2018, 13, 1506–1520 CAS.
- L. Wang, Y. Sun, H. Zhang, W. Shi, H. Huang and Y. Li, Spectrochim. Acta, Part A, 2023, 302, 123003 CAS.
- T. Zhou, T. Zhang, Y. Wang, D. Ge and X. Chen, Spectrochim. Acta, Part A, 2023, 289, 122219 Search PubMed.
- W. Brand-Williams, M. E. Cuvelier and C. Berset, LWT–Food Sci. Technol., 1995, 28, 25–30 CAS.
- Z. Chen, Y. Wang, Y. Mo, X. Long, H. Zhao, L. Su, Z. Duan and Y. Xiong, Sens. Actuators, B, 2020, 323, 128625 Search PubMed.
- Z. Zhou, F. Yu and J. Ma, Environ. Chem. Lett., 2022, 20, 563–595 Search PubMed.
- S. Duan, L. Wu, J. Li, Y. Huang, X. Tan, T. Wen, T. Hayat, A. Alsaedi and X. Wang, J. Hazard. Mater., 2019, 373, 580–590 CAS.
- H. Liu, D. Yuan, L. Yang, J. Xing, S. Zeng, S. Xu, Y. Xu and Z. Liu, Mater. Horiz., 2022, 9, 688–693 CAS.
- S. Zhang, H. Ruan, Q. Xin, X. Mu, H. Wang and X.-D. Zhang, Nanoscale, 2023, 15, 4408–4419 CAS.
- L. Nie, D. Mei, H. Xiong, B. Peng, Z. Ren, X. I. P. Hernandez, A. DeLaRiva, M. Wang, M. H. Engelhard, L. Kovarik, A. K. Datye and Y. Wang, Science, 2017, 358, 1419–1423 Search PubMed.
- J. Wang, R. Huang, W. Qi, R. Su and Z. He, J. Hazard. Mater., 2022, 429, 128404 CAS.
- Y. Zhao, Y. Wang, A. Mathur, Y. Wang, V. Maheshwari, H. Su and J. Liu, Nanoscale, 2019, 11, 17841–17850 CAS.
- S. Li, L. Wang, X. Zhang, H. Chai and Y. Huang, Sens. Actuators, B, 2018, 264, 312–319 CAS.
- D. Guo, C. Li, G. Liu, X. Luo and F. Wu, ACS Sustain. Chem. Eng., 2021, 9, 5412–5421 CrossRef CAS.
- X. Zheng, Q. Lian, L. Zhou, Y. Jiang and J. Gao, Colloids Surf., A, 2020, 606, 125397 CrossRef CAS.
- Y. Xiong, S. Chen, F. Ye, L. Su, C. Zhang, S. Shen and S. Zhao, Chem. Commun., 2015, 51, 4635–4638 RSC.
- W. Lu, J. Chen, L. Kong, F. Zhu, Z. Feng and J. Zhan, Sens. Actuators, B, 2021, 333, 129560 CrossRef CAS.
Footnotes |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d4ra07858f |
‡ These authors contributed equally to this work and should be considered as co-first authors. |
|
This journal is © The Royal Society of Chemistry 2025 |
Click here to see how this site uses Cookies. View our privacy policy here.