Open Access Article
Si-Hua Deng
,
Ying-Zhao Ma
,
Yi-Fan Han,
Qi Zhou
* and
Wen-Sheng Fu*
Chongqing Key Laboratory of Green Catalysis Materials and Technology, College of Chemistry, Chongqing Normal University, Chongqing 401331, China. E-mail: zhouqi@cqnu.edu.cn; fuwensheng@cqnu.edu.cn
First published on 10th March 2025
Natural enzymes, despite their superior catalytic proficiency, are frequently constrained by their environmental sensitivity and the intricacies associated with their extraction and preservation. Consequently, there has been a significant impetus in the scientific community to develop robust, economical, and accessible enzyme mimics. In this context, transition metal borides have risen to prominence as auspicious contenders, capitalizing on their distinctive electronic and catalytic attributes to replicate the functionalities of natural enzymes. In our present investigation, we report the synthesis of amorphous metal boride nanoparticles utilizing a straightforward chemical reduction approach conducted under refrigerated conditions. Notably, it is within this study that these nanoparticles are first showcased to exhibit inherent peroxidase-like activity, with the 4Fe–Ni–B composition demonstrating superior catalytic activity compared to other tested samples. Density functional theory (DFT) calculations have elucidated that the incorporation of nickel significantly bolsters the reactivity of 4Fe–Ni–B towards hydrogen peroxide (H2O2). This enhancement stems from a synergistic interaction between Ni2+ and Fe3+ ions, which expedites the reduction of Fe3+ to Fe2+, consequently augmenting the overall catalytic efficacy. To further broaden the applicative scope of these nanozymes, we have developed a colorimetric sensor for the rapid detection of H2O2 and glutathione (GSH), thereby underscoring the adaptability of transition metal borides in analytical chemistry.
Particularly noteworthy are the merits of nanomaterial-based mimics of natural enzymes, which have garnered significant interest due to their affordability, straightforward synthesis, and adjustable catalytic activity.3 These nanomaterial-based mimics have been the subject of extensive research for a myriad of applications, spanning from in vitro sensing and biomedical therapeutics to cancer treatment and environmental quality assessment.4,5 In a seminal study, Yan et al. first reported that Fe3O4 ferromagnetic nanoparticles exhibit intrinsic peroxidase-like activity.6 This discovery has since been followed by the identification of a plethora of nanomaterials, including metal oxides,7–9 bimetallic oxides,10–12 metallic and alloyed structures,13–17 metal–organic frameworks,18–20 metal sulfides,21,22 and carbon-based nanomaterials,23–25 all of which have demonstrated inherent enzyme-mimicking capabilities. These materials are extensively utilized in the detection of a variety of analytes, such as DNA, H2O2, glucose, heavy metal ions, and other substances.26,27 Recently, the strategic formation of “metal–nonmetal” bridges within nanoenzymatic catalysts, achieved by incorporating sulfur into their structure, has been proposed to amplify their catalytic prowess. These bridges are believed to induce a cooperative metal-to-metal interaction and bolster electron transfer at the catalytically active sites.28–32 For instance, Zhang et al. synthesized Fe–N–S–C by sulfur-functionalizing Fe–N–C, thereby modulating the active oxygen species in single-atom nanoenzymes.33 Their findings indicated that this functionalization led to a significant modification of the electronic structure of Fe–N–S–C. Specifically, there was an observed increase in electron density at the Fermi energy level, which correlated with an enhanced electron transfer efficiency from the active site to the critical intermediate *OOH. Additionally, it has been proposed that the introduction of oxygen vacancies could be instrumental in constructing nanoenzymes with engineered defects. Such defect-enriched structures serve as pivotal charge separation centers, thereby amplifying electron transfer capabilities. In a related development, Wang et al. synthesized the multifunctional nanoenzymes Ox-POM@Cu, which incorporated OVs.34 The presence of OVs was found to expedite electron transfer processes, subsequently augmenting the GPx and CAT-like activities of Ox-POM@Cu.
Beyond these advancements, boron, a non-metallic element, has been recognized for its pivotal role in fine-tuning the electronic structure of catalysts and in fostering the emergence of active sites. As a result, metal boride nanomaterials, with their remarkable electrocatalytic properties and broad applicability in catalytic processes, have garnered significant attention within the scientific community. Despite the burgeoning interest in nano-enzymatic systems, the literature on modulating their enzymatic activity remains sparse. Notably, amorphous nanoparticles of FeB are characterized by an abundance of surface defects and coordination unsaturation sites, which endow their electronic structure with a high degree of tunability. This flexibility arises from the capacity to form amorphous structures from a diverse array of constituents, a feature that crystalline forms cannot replicate. Furthermore, elemental iron, due to its variable valence states, manifests peroxidase-like activity, while elemental nickel, similarly characterized by variable valence, serves as a cofactor in numerous metal nanoenzymes.35 Given these desirable yet abundant properties, the design and construction of amorphous structured bimetallic borides offer compelling opportunities to advance the field of nanoenzymes. To our knowledge, however, the peroxidase-like activity of metal boride nanoparticles remains unexplored within the realm of natural enzyme mimics.
In our current study, we report for the first time the intrinsic peroxidase mimetic activity of metal boride nanoparticles. Through a facile chemical reduction approach, we successfully synthesized these nanomaterials, which notably catalyzed the oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) in the presence of H2O2, effecting a distinct color change from colorless to blue. This reaction emulates the catalytic behavior of natural peroxidases. Delving into the underlying mechanism, we discovered the pivotal role of Fe2+ and Fe3+ ions as active sites within the xFe-5–xNi–B framework. Density functional theory (DFT) calculations elucidated that the introduction of nickel into the 4Fe–Ni–B structure markedly enhanced its responsiveness to hydrogen peroxide and key reaction intermediates. Our findings highlight the synergistic interaction between Ni2+ and Fe3+ ions as a critical factor in augmenting the nanozyme's catalytic activity, facilitating the conversion of Fe3+ to Fe2+ and thereby enhancing the overall catalytic efficiency. To further broaden the applicability of these nanozymes, we have developed a colorimetric sensor designed for the swift and accurate detection of H2O2 and GSH, as shown in Scheme 1. This innovation underscores the adaptability of metal boride nanoparticles in a variety of analytical applications. Our research not only advances the frontier of binary metal borides as substitutes for natural enzymes but also deepens the comprehension of nanozyme design paradigms. This advancement opens up new horizons for the development of next-generation artificial enzymes capable of exhibiting customized catalytic profiles tailored to specific applications.
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| Scheme 1 A 4Fe–Ni–B based design for peroxide-like as enzyme and colorimetric detection of glutathione application. | ||
SEM and TEM were employed to scrutinize the morphology of 4Fe–Ni–B nanoparticles, as illustrated in Fig. 1A–D. The 4Fe–Ni–B nanoparticles presented a uniform granularity morphology with particle dimensions ranging from 30 to 50 nm. The TEM image of 4Fe–Ni–B in Fig. 1C and D confirms the granular structure consisting of aggregated nanoparticles. ICP-OES analysis revealed that the Fe/Ni ratio in the 4Fe–Ni–B was found to be 4
:
1, closely matching the ratio of the starting materials, as depicted in Fig. S2.† The EDS spectra depicted in Fig. 1E unequivocally confirm the presence of Ni, Fe, B, and O elements within the product. The detection of elemental oxygen is ascribed to the partial oxidation of the nanoparticles.36 Moreover, the uniform distribution of Fe, Ni, B, and O atoms across the 4Fe–Ni–B structure, as evidenced in Fig. 1 panels F, G, H, I, and J, corroborates the successful synthesis of the metal borides.
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| Fig. 1 (A and B) SEM images of 4Fe–Ni–B; (C and D) TEM images of 4Fe–Ni–B; (E) EDS spectrum of 4Fe–Ni–B; (F–J) element mapping images of Fe, Ni, B, O. | ||
The specific surface areas of the catalysts, as ascertained by the BET method, are detailed in Table S1,† and these results suggest that the specific surface areas are not the dominant factor affecting the catalyst activity. The BET surface area of 4Fe–Ni–B nanoparticles is about 35.77 m2 g−1. The N2 adsorption–desorption isotherms, presented in Fig. S3,† display a distinctive H3 hysteresis loop, which is characteristic of a type IV curve. Additionally, the pore size distribution curve in Fig. S3† demonstrated the presence of mesopores within the samples.
X-ray photoelectron spectroscopy (XPS) analysis was performed to ascertain the surface elemental composition and the nature of chemical bonding within the samples. The XPS survey spectrum of the 4Fe–Ni–B, depicted in Fig. 2A, verified the presence of Fe, Ni, and B elements on the surface. In the Fe 2p spectrum shown in Fig. 2B, the peaks located at 709.9 and 723.6 eV correspond to Fe 2p3/2 and Fe 2p1/2 of the Fe2+ state, respectively. The peaks observed at 711.5 and 725.9 eV are Fe 2p3/2 and Fe 2p1/2 for the Fe3+ state, respectively, and the peak located at 719.4 eV corresponds to a satellite peak. Additionally, a peak at 706.5 eV is observed, which corresponds to Fe 2p3/2 in the Fe0 state.3 In the Ni 2p spectrum illustrated in Fig. 2C, the peak at 852.3 eV is attributed to the Ni 2p3/2 of the Ni0 state, whereas the peak at 855.7 eV corresponds to Ni 2p3/2 of the Ni2+ state. 873.3 eV corresponds to Ni 2p1/2 of the Ni3+ state, and the rest of the peaks belong to satellite peaks.28 It is noteworthy that the peak intensity of Ni2+ is markedly higher than that of Ni3+. In the B 1s spectrum shown in Fig. 2D, the peak at 187.5 eV corresponds to the binding energy of boron in the metal boride, and the peak at 191.5 eV corresponds to the binding energy of boron oxide.37 Meanwhile, the XPS spectrum for Fe–B is displayed in Fig. 2A. Synthesized using the same method as 4Fe–Ni–B, Fe–B lacks the Ni element as observed in Fig. 2A, but exhibits similar peaks in the Fe 2p spectrum in Fig. 2B and B 1s spectrum in Fig. 2D regions. By analyzing the peak areas presented in Fig. 2B and C, the molar ratio of Fe2+ to Fe3+ was determined to be 0.77 for Fe–B and 1.42 for 4Fe–Ni–B, while the ratio of Ni2+ to Ni3+ in 4Fe–Ni–B was found to be 3.28. These findings suggest that the incorporation of Ni2+ leads to an elevation in the Fe2+ content.3
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| Fig. 3 UV-Vis absorption spectra of the oxidized TMB in different systems: (A) different nanozymes; (B) 4Fe–Ni–B + TMB + H2O2; 4Fe–Ni–B + TMB; 4Fe–Ni–B + H2O2; and TMB + H2O2. | ||
The nanozyme candidate selected for further analysis was 4Fe–Ni–B, as illustrated in Fig. 3B. Notably, the solutions containing 4Fe–Ni–B + H2O2 and TMB + H2O2 showed no discernible change in color. The solution of 4Fe–Ni–B + TMB displayed a weak blue (oxTMB) color change, while the solution of 4Fe–Ni–B + H2O2 + TMB displayed a color variation from clear to blue, with a distinct absorption peak at 652 nm. The results indicate that 4Fe–Ni–B has an intrinsic peroxidase-like activity and could potentially possess oxidase-like activity.
| Sample | Km (mM) | Vm (10−6 M s−1) | °C | Ref. | ||
|---|---|---|---|---|---|---|
| TMB | H2O2 | TMB | H2O2 | |||
| Fe0.6Ni0.4S | 0.797 | 0.123 | 0.172 | 0.172 | 25 | 3 |
| Fe0.4Ni0.6S | 0.916 | 0.252 | 0.102 | 0.145 | 25 | 3 |
| FeSe | 0.009 | 8.09 | 0.042 | 0.065 | 25 | 40 |
| FeS2 NPs | 0.17 | 0.30 | 0.039 | 0.056 | 45 | 21 |
| FeS2@C NS | 0.16 | 0.46 | 0.062 | 0.119 | 45 | 41 |
| NiS | 0.241 | 0.347 | 0.051 | 0.053 | 25 | 42 |
| CuZnFeS | 2.2 | 0.07 | 0.39 | 0.005 | 37 | 43 |
| CuS | 0.007 | 12.0 | 0.089 | 0.209 | 40 | 44 |
| HRP | 0.434 | 3.70 | 0.1 | 0.087 | 35 | 6 |
| Fe4Ni1B | 0.394 | 0.183 | 0.513 | 0.433 | 25 | This work |
:
2
:
2
:
1, which is indicative of DMPO-˙OH adducts. The Fe2+ and Fe3+ ions within the 4Fe–Ni–B structure serve as the active sites for the formation of ˙OH radicals, as shown in eqn (5) and (6).31 In addition, thiourea, p-benzoquinone, and tryptophan were added to the initial solution as traps for ˙OH, ˙O2− and 1O2, respectively.47–49 Fig. S6† illustrates the significant decrease in absorbance at 652 nm for solutions containing thiourea and p-benzoquinone upon the introduction of trapping agents. This decrease suggests the formation of ˙OH and ˙O2− radicals during the reaction. Conversely, an increase in absorbance at 652 nm was observed for the solution containing tryptophan, which does not confirm the absence of 1O2 formation. The detection of free radicals using radical trappers is a common approach to determine if homogeneous catalysis involves free radicals. However, in the context of nano-enzymatic catalysis, this method cannot discern whether the trapped species are free radicals or reaction intermediates that are adsorbed onto the nanoscale surface.39
In order to determine the contribution of non-metallic boron to the peroxidase-like activity of 4Fe–Ni–B, we conducted a controlled experiment where the nanozyme was substituted with a mixture of Fe2+, Fe3+, and Ni2+ under identical optimal conditions. The catalytic activities of these ions were assessed, and their absorbance values at 652 nm were compared to those of 4Fe–Ni–B, as depicted in Fig. 4D. The comparative analysis revealed a descending order of catalytic activity: 4Fe–Ni–B exhibited the highest activity, followed by the mixture containing Fe2+, Fe3+, and Ni2+, with Fe2+ showing notable activity and negligible activity observed for Ni2+. These findings underscore the significant role of non-metallic boron in enhancing the peroxidase-like activity of 4Fe–Ni–B nanoenzymes, highlighting its indispensable function in the catalytic process.3,31
To gain insights into the catalytic reaction mechanisms, we employed density functional theory (DFT) calculations to delineate the potential pathways and the associated free-energy landscapes for the generation of ˙OH, ˙O2−, and 1O2 from H2O2 for both 4Fe–Ni–B and Fe–B models, as depicted in Fig. 5A–C, and S7.† The introduction of the Ni catalytic cofactor near the catalytic active site of Fe–B effectively reduced the energy of the Fe–B catalysts compared to Fe–B without the introduction of the Ni catalytic cofactor. The whole catalytic process generates three radicals from two pathways. In the homolytic pathway, the activated *H2O2 dissociates uniformly into two *OH on the Fe site and Ni site and gradually desorbs from the surface to constitute ˙OH (eqn (1)).50 In the heterolytic pathway, the revitalised *H2O2 dissociates and heterogeneously converts into *OH and H2O, and the formation of *OH could react with H2O2 to form *OOH (eqn (2)), which is degraded further to ˙O2− (eqn (3)).51 Furthermore, *OOH can also be converted to 1O2 through the path of eqn (4).52 As shown in Fig. 5B and C, the free energy changes of radicals produced by 4Fe–Ni–B are −1.47 eV, −1.67 eV, −1.42 eV, −1.78 eV, and −1.47 eV; these values are lower than those on the corresponding Fe–B models, which are −0.71 eV, −1.43 eV, −1.57 eV, −1.46 eV, −0.71 eV, −1.82 eV, −1.65 eV, and −2.02 eV, respectively. This disparity suggests that 4Fe–Ni–B more readily adsorbs H2O2 and reaction intermediates compared to the Fe–B models.53 Additionally, an analysis of the charge density differences between the 4Fe–Ni–B and Fe–B models presented in Fig. S8A and B† reveals that the incorporation of the Ni catalytic cofactor leads to a significant increase in electron enrichment at the catalytic active site of the 4Fe–Ni–B model. Moreover, the presence of Ni metal has been shown to expedite electron transfer. As supported by existing literature,54–56 an enrichment of electrons at the catalytically active center facilitates the decomposition of H2O2, indicating that 4Fe–Ni–B is more effective in catalyzing the decomposition of H2O2 than the Fe–B models and possesses enhanced electron transfer capabilities.
| H2O2 → ˙OH + ˙OH | (1) |
| H2O2 + *OH → *OOH + H2O | (2) |
| *OOH → H+ + ˙O2− | (3) |
| *OOH + *OH → *1O2 + H2O | (4) |
Drawing from our experimental findings, we have formulated a peroxidase (POD)-like mechanism for the 4Fe–Ni–B nanozyme. Initially, it was observed from the peroxidase-like activity assays, as presented in Fig. 3A, that the Ni–B counterpart displayed an absence of POD-like activity. We hypothesize that the incorporation of an optimal quantity of nickel ions into Fe–B substantially amplifies its enzymatic catalytic activity. This augmentation is potentially attributable to the formation of a bridge within the 4Fe–Ni–B structure, where the bonds between Fe and B and between Ni and B facilitate an internal electron transfer from
Ni2+ to
Fe3+. This transfer accelerates the Fe3+/Fe2+ redox cycle, as illustrated in eqn (7), a pivotal process in the generation of radical production during enzyme-mimetic catalysis.31 The presence of
Ni3+ in 4Fe–Ni–B, confirmed by XPS analysis, further substantiates the occurrence of electron transfer, a phenomenon also observed in other systems such as FeNi-MOF, FeNi sulfides, and CuFeNi hydroxides.31–33 Conversely, an excess of Ni2+ in the metal borides leads to the occupation of active sites
Fe2+ and
Fe3+ by Ni ions, resulting in diminished catalytic activity. Taking these factors into account, the observed hierarchy of enzyme-like activity (4Fe–Ni–B > 4.5Fe–0.5Ni–B > Fe–B > 3Fe–2Ni–B > 2Fe–3Ni–B > Ni–B) is deemed logical and justifiable. The proposed peroxidase mechanism for 4Fe–Ni–B is depicted in Fig. S9.†
Fe2+ + H2O2 + H+ → Fe3+ + ˙OH + H2O
| (5) |
Fe3+ + H2O2 → Fe2+ + ˙OOH + H+
| (6) |
Fe3+ + Ni2+ → Fe2+ + Ni3+
| (7) |
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| Fig. 6 Detection of H2O2 by 4Fe–Ni–B: (A) different of H2O2 concentrations; (B) the linear relationship between the absorbance of the solution at 652 nm and H2O2 concentration. | ||
In order to evaluate the feasibility of our method in practical scenarios, we analyzed the levels of H2O2 in milk samples. Optimal reaction conditions were employed, and specific concentrations of H2O2 standards (20.0, 40.0, and 80.0 μM) were added to the diluted milk samples. Subsequently, the absorbance at 652 nm was recorded. Recovery rates were determined utilizing a linear standard curve, and the results are detailed in Table S3.† The recoveries fell within a range of 101.1% to 107.9%, and the relative standard deviations (RSD) of the whole samples were less than 1.70%. These results highlight the exceptional sensitivity of 4Fe–Ni–B and affirm its viability as an effective nanozyme for the detection of H2O2 in real-world samples.
Selectivity is an important measure of the anti-interference performance of a colourimetric sensor. In this experiment, a variety of common interfering substances were added to the mixed system, including amino acids, glucose, and ascorbic acid, amongst others. The results of this assessment are shown in Fig. 7C and D. The results show that in selectivity experiments, 4Fe–Ni–B shows a high level of selectivity for GSH detection despite the addition of 10-fold more interfering chemicals than GSH. In contrast, in the anti-interference experiments, only one class of strongly reducing substances, such as ascorbic acid and cysteine, interfered with the 4Fe–Ni–B sensor. This means that it has the potential to accurately quantify GSH even in the presence of other biomolecules.
In order to evaluate the feasibility of our method in practical scenarios, we analyzed the levels of GSH in milk samples. Optimal reaction conditions were employed, and specific concentrations of GSH standards (5.0, 10.0, and 15.0 μM) were added to the diluted milk samples. Subsequently, the absorbance at 652 nm was recorded. Recovery rates were determined utilizing a linear standard curve, and the results are detailed in Table S3.† The recoveries fell within a range of 103.3% to 104.8%, while the relative standard deviations were between 0.9% and 1.7%. These results highlight the exceptional sensitivity of 4Fe–Ni–B and affirm its viability as an effective nanozyme for the detection of GSH in real-world samples.
In addition, the stability and recoverability of the nanozyme are important parameters for the evaluation of colorimetric sensors. Although 4Fe–Ni–B has been stored for about 12 months, its XRD profile remained consistent with the initially prepared XRD profile, as shown in Fig. S11A.† Meanwhile, we also investigated the catalytic activity of the 4Fe–Ni–B solution at 6 h. The catalytic activity of 4Fe–Ni–B at 6 h was the same as that of the initially prepared 4Fe–Ni–B catalytic activity, as shown in Fig. S11B.† Finally, our analysis of the 4Fe–Ni–B nanozyme was evaluated in the recoverability experiments, as shown in Fig. S12.† The 4Fe–Ni–B pre-reaction XRD and post-reaction XRD spectra remained essentially the same. The results show that 4Fe–Ni–B has good stability and recoverability.
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Footnote |
| † Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d5ra00149h |
| This journal is © The Royal Society of Chemistry 2025 |