Next Article in Journal
Establishment of a Rapid Detection Method for Yeast-like Symbionts in Brown Planthopper Based on Droplet Digital PCR Technology
Next Article in Special Issue
A Comparative Multi-Frequency EPR Study of Dipolar Interaction in Tetra-Heme Cytochromes
Previous Article in Journal
Host–Bacterium Interaction Mechanisms in Staphylococcus aureus Endocarditis: A Systematic Review
Previous Article in Special Issue
Influence of Cupric (Cu2+) Ions on the Iron Oxidation Mechanism by DNA-Binding Protein from Starved Cells (Dps) from Marinobacter nauticus
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Dye Decolorization by a Miniaturized Peroxidase Fe-MimochromeVI*a

1
Department of Chemical Sciences, University of Napoli Federico II, Via Cintia, 80126 Napoli, Italy
2
Institute of Biostructures and Bioimaging (IBB), National Research Council (CNR), Via Pietro Castellino 111, 80131 Napoli, Italy
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2023, 24(13), 11070; https://doi.org/10.3390/ijms241311070
Submission received: 12 June 2023 / Revised: 23 June 2023 / Accepted: 1 July 2023 / Published: 4 July 2023
(This article belongs to the Special Issue Transition Metal Ions in Biology)

Abstract

:
Oxidases and peroxidases have found application in the field of chlorine-free organic dye degradation in the paper, toothpaste, and detergent industries. Nevertheless, their widespread use is somehow hindered because of their cost, availability, and batch-to-batch reproducibility. Here, we report the catalytic proficiency of a miniaturized synthetic peroxidase, Fe-Mimochrome VI*a, in the decolorization of four organic dyes, as representatives of either the heterocyclic or triarylmethane class of dyes. Fe-Mimochrome VI*a performed over 130 turnovers in less than five minutes in an aqueous buffer at a neutral pH under mild conditions.

1. Introduction

Bleaching processes are widespread at different levels, with bleaching agents being adopted and/or sold by companies and institutions, as well as end users. Their fields of application are spread out over several markets, from laundry to paper and pulp industries, passing through leather, cosmetics, and pharma industries. The total revenues of the bleaching market are difficult to estimate, given its intrinsic cross-sectional features. We could just consider, for example, that, each day, more than ten thousand tons of hydrogen peroxide, one of the most widely used bleaching agents, is consumed worldwide.
Bleaching in solution and/or on surfaces consists of the discoloring (whitening) process that occurs upon the oxidation of any given dye. Most common dyes (and stains) usually contain chromophores, such as aromatic rings and conjugated systems, that can absorb visible light. These chromophores, when oxidized, shift their absorption wavelength, making them invisible to the human eye. Chlorine-based bleaches are among the most common bleaches used worldwide. However, as a consequence of their large use, safety concerns have been raised about the formation and release in the environment of organochlorines, dioxins, and chlorinated volatile organic compounds, some of them being potential human carcinogens [1]. Peroxide-based bleaches are less efficient than chlorine-based; nevertheless, they constitute a health hazard to a much lower extent. For this reason, both academic and industrial research focuses on improving peroxide-based bleaching efficiency and selectivity. In general, bleaching by hydrogen peroxide occurs thanks to the formation of different active oxygen species, depending on the reaction conditions (temperature, pH, light, and presence of transition metals). In the presence of transition metal catalysts, highly oxidizing species are produced, which, in turn, based on their molecular properties, perform the specific oxidation of substrates. Nature exploits metalloenzymes, particularly peroxidases, in the activation of hydrogen peroxide. Such metalloenzymes are very attractive for practical applications in chemistry, biotechnology, and medicine for their great versatility, and they have been already implemented in the degradation process of various substrates [2,3,4,5,6]. Examples of noticeable applications are: decontamination of environmental pollutants [7,8], delignification in the paper industry [9,10], diagnostic kit development [11], immunoassay [12,13], organic and polymer synthesis [14,15], biosensor technology [16,17], determination and quantification of hydrogen peroxide [18,19], decolorization of industrial effluents [20,21,22,23], and tooth whitening [24,25]. Although peroxidase enzymes are now quite spread out both in commercial products and industrial processes, their full applicability has some limitations. The main problems arise from the relatively low stability and activity of such enzymes at high temperatures, extreme pH ranges, high salt concentrations, and organic solvents, as well as poor batch-to-batch reproducibility. Therefore, the engineering of improved peroxidases is highly desirable [26,27,28,29,30,31,32,33]. Among them, building artificial “custom-made” enzymes, able to mimic natural peroxidases and optimized for a specific application, seems highly convenient [34,35,36,37,38].
Recently, we prepared a fully synthetic miniaturized peroxidase, namely FeIII–mimochrome VI*a (FeMC6*a), able to mimic naturally occurring peroxidases, with catalytic performances comparable to natural ones [36]. FeMC6*a is able to activate hydrogen peroxide to perform 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid (ABTS) oxidation [39], thioanisole oxygenation [40], luminol oxidation for sensing purposes [41,42], and the dehalogenation and polymerization of halogenated phenols [43,44]. Besides oxidation, the metal replacement in MC6*a leads to significant shifts in the reactivity. Indeed, a manganese complex is a competent catalyst in the selective monooxygenation of thioanisole and indoles [40,45], the cobalt derivative is active as the hydrogen evolution catalyst [46,47,48], and the zinc one is suitable as a photosensitizer [49] (Figure 1).
In this study, we show that FeMC6*a displays a remarkable activity in the decolorization of four dyes: Neutral Red (NR), Methylene Blue (MB), Xylenol Orange (XO), and Bromophenol Blue (BPB).

2. Results and Discussion

2.1. Preliminary Screening of Dye Activity

To assess the performance of the artificial FeMC6*a peroxidase in dye-bleaching applications, using hydrogen peroxide as the oxidant, we selected four organic dyes, including two heterocyclic dyes (NR and MB, Figure 2a) and two triarylmethane dyes (XO and BPB, Figure 2a). NR is a phenazine dye that displays a deep red color at pH values below 6.6, whereas MB is a thiazine dye displaying a cyan-like color in its oxidized form. BPB is a brominated dye with a deep blue color at pH values above 4.5, and XO is a pH indicator that displays colorations ranging from deep purple to light orange based on pH values. The investigation employed very mild conditions to serve as the basis for an environmentally sustainable decolorizing treatment process.
In particular, catalytic assays were performed at an almost neutral pH in a mild saline buffer without any organic cosolvent (100 mM sodium phosphate buffer, pH 6.5), using a cost-effective amount of the catalyst (1 μM) and 250 molar excess of the environmental-friendly oxidant hydrogen peroxide (0.25 mM). The substrate concentrations were different for each dye and mostly dependent on their extinction coefficients (see Section 3 and Table S1 in the Supplementary Materials).
FeMC6*a displayed functional proficiency towards this panel of substrates under the evaluated conditions, as evidenced by the significant decolorization percentage (see Section 3) with respect to the reactions performed in the absence of the catalyst (Figure 2b).
In detail, FeMC6*a exhibited excellent activity against MB and XO with decolorization percentages above 80% and good activity against NR, with a decolorization percentage of 70%. Conversely, only modest activity (18%) was observed in the presence of BPB. A negligible reaction progress (decolorization < 10%) was observed for the uncatalyzed oxidation, thus proving the involvement of FeMC6*a in driving the dye oxidation.
The UV–Visible spectral changes were analyzed to get further insight on the catalyst performance (Figure 3). FeMC6*a was remarkably fast in performing dye decolorization under the preliminary experimental conditions. Oxidation of the dark red solution of NR led to a light pink solution in just 5 min, and no significant change was subsequently observed (Figure 3a and Figure S1). Interestingly, two bands appeared around 330 and 430 nm in the final spectrum, responsible for the final nuance of the solution.
The characteristic absorbance of MB at 663 nm decreased after mixing H2O2, and the blue solution turned colorless (A663 < 0.5) within 3 min (Figure 3b and Figure S2). Besides some contribution of the remaining MB, no oxidation product could be detected in the visible region of the final spectrum. The decolorization of XO, monitored at 580 nm, slowly led to a light orange solution from a brilliant purple after 15 min (Figure 3c). The final UV spectrum, featuring a broad band centered around 400 nm, showed a hypochromic shift of the XO 425 nm maximum. Finally, FeMC6*a did not exhibit a remarkable activity against BPB. Indeed, after 5 min of reaction, the dye decolorization was only 18%, and no further change was observed (Figure 3d).
Table 1 reports the efficiency of FeMC6*a in comparison with previous dye decolorization procedures that were carried out by either enzymatic or nonenzymatic methodologies [50,51] (Table 1).
It is worth noting here that no satisfactory enzymatic degradation treatment has been reported to date for NR, with the exception of a fungal treatment performed with Perenniporia subacida under acidic conditions (~97%, 10-day incubation period) [52]. Moreover, a modest decolorizing efficiency of ~33% was obtained for NR after only 24 h of treatment with a fungal laccase [53]. Interestingly, the highly promiscuous DyP was not proficient in NR oxidation when 50 μM of NR was reacted with 100 μM of hydrogen peroxide. Nevertheless, a nonenzymatic treatment with a Fenton catalyst, under acidic conditions, gave a very good decolorization percentage in a short timeframe (98% decolorization percentage in <5 min).
Table 1. Maximum decolorization percentages and reaction time comparison for the four dye objects of this work.
Table 1. Maximum decolorization percentages and reaction time comparison for the four dye objects of this work.
SubstrateFeMC6*aHRP SBP LiP TfuDyP Lac Inorganic
Catalyst
NR70%
5 min
---0% a
1 h
33% b
24 h
84% c; 98% d
30 min; <5 min
MB95%
3 min
21% e
60 min
-85% f
15 min
0% a
1 h
0% b
24 h
90% g; 96% h
2 h; 1 h
XO82%
15 min
----->95% i; 42% h
45 min; 1 h
BPB18%
5 min
95% j
10 min
85% k
60 min
93% l
15 min
-14% b
24 h
90% m
25 min
HRP—horseradish peroxidase; SBP—soybean peroxidase; LiP—lignin peroxidase; DyP—dye-decolorizing peroxidase from Thermobifida fusca; Lac—laccase isoform Lac2 from P. Nebrodensis. a pH range 3.0–5.0 [54]. b pH = 4.0, ABTS as the redox mediator [53]. c Photo-oxidative process with H2O2. d Fenton process [55]. e pH = 3.0, T = 30 °C [56]. f pH = 2.5 crude lignin peroxidase from a culture medium of P. Chrysosporium [57]. g pH = 3, Mn3O4 nanoparticles [58]. h Lignin peroxidase-like biomimetic catalyst [59]. i Catalytic porous Fe3O4 nanospheres and H2O2 as the oxidant [60]. j pH = 6 [61]. k pH = 3, 5, and 7, immobilized-aminated peroxidase [62]. l pH = 4.0, crude lignin peroxidase from a culture medium of P. Chrysosporium [57]. m pH = 7.0, photocatalytic process with photocatalysts ZnO and Ag+-doped ZnO [63].
FeMC6*a showed comparable results in terms of the decolorization yield and reaction times when LiP was used as the catalyst for MB oxidation (85% decolorization yield in 15 min) under similar experimental conditions [57]. The enzymatic treatment, using HRP as the catalyst [56], gave a lower dye-decolorizing effect (21%) and higher reaction times (>60 min). Such an efficiency difference may be ascribed to the higher reduction potentials of the Compound I/Compound II and Compound II/Fe3+ pairs in LiP, being roughly double the HRP ones [64,65]. A remarkable dye-decoloring effect (>90%) was also achieved for the removal of MB using chemical or physical methods after reaction times ranging from 60 to 120 min [58,59].
Unlike other dyes, enzymes are still unemployed to decolorize XO. Porous Fe3O4 nanospheres were used as the catalyst for the degradation of Xylenol Orange (XO) in an aqueous solution with H2O2 as the oxidant. This system was able to degrade XO up to 95% in 45 min [60], only a slightly higher efficiency than FeMC6*a. A LiP mimic catalytic system, consisting of an immobilized MnIII-tetrakis(4-sulfonato-phenyl)porphyrin, has been also tested to perform XO degradation. However, only 42% was degraded by the addition of 8.8 mM of H2O2 when this alternative peroxidase mimic was used [59].
Finally, three out of the four peroxidases here compared are amenable for BPB degradation (Table 1). A similar reactivity was expected for FeMC6*a, which has already been shown proficient in 2,4,6-trichlorophenol (TCP) dehalogenation [43]. However, only a modest efficiency was observed towards BPB under our experimental conditions, as previously mentioned. It is worth noticing that a striking 200-fold increase in the catalytic efficiency was observed when the dehalogenation of TCP was performed in the presence of trifluoroethanol (TFE) as the cosolvent [43]. It has been previously shown that TFE induces the sandwiched structure in MC6*a, driving the positioning of the distal peptide on the heme [39], and, in turn, this can be correlated with the observed overpotential shift in hydrogen evolution for CoMC6*a [46]. Therefore, TFE may be critical in the oxidation of halophenols, thus explaining the poor performance here observed.

2.2. Optimization of Experimental Conditions

Given the more promising results on heterocyclic dyes, a deeper optimization of the experimental conditions was performed as a function of catalyst, peroxide, and substrate concentrations. The purpose was to find the minimal amount of catalyst and peroxide that must be added to keep the highest decolorization percentage. To perform a full concentration screening, a plate reader was used to register the spectra under different conditions in a 24-well plate each minute for 5 min.
We started by investigating the effect of the catalyst concentration on NR and MB decolorization in the range 10 nM–1.0 μM (Figure 4).
The maximum decolorization efficiency could be obtained at a 1.0 μM FeMC6*a concentration for both dyes, where 57% and 87% decolorization were achieved for NR and MB, respectively. Nevertheless, a comparable catalytic performance could be obtained at a lower FeMC6*a concentration (0.7 μM).
Next, the effect of the peroxide concentration was investigated in the range 0.1–100 mM. The decolorization percentage as a function of the H2O2 concentration was steeply saturated around 3.0 mM for both dyes (Figure 5).
Indeed, for NR and MB, the highest percentages of conversion observed were 53% and 70%, respectively. However, the results obtained with any peroxide concentration higher than 1.0 mM showed very similar results. Further, the reaction performed with a peroxide concentration as low as 0.1 mM showed performance levels close to the uncatalyzed reaction.
Lastly, the effect of the substrate concentration was screened. The concentration ranges were different for the two substrates due to their different extinction coefficients (in order to avoid detector saturation in the spectrophotometer) and different aggregation propensity of the substrates. Therefore, the NR and MB concentrations were screened in the ranges of 26–106 μM and 0.72–10 μM, respectively (Figure 6).
The plot clearly indicates that, in the evaluated range, both NR and MB concentrations have a negligible effect on the yield of the reaction. In detail, the decolorization percentage ranges from a maximum of 67% to a minimum of 63% for NR, and from 91% to 87% for MB, in 5 min. A rough estimation of the turnover number (TON) can be calculated from the decolorization percentage, corresponding to 134 and 17 turnovers, respectively. Therefore, FeMC6*a can perform several TONs under the explored concentration ranges without any significant bleaching of the catalyst.
Overall, our analysis defines that a mildly oxidizing solution of 3 mM H2O2 in phosphate buffer at pH 6.5 is able to oxidize at least either 106 or 10 μM of NR and MB, respectively, by using an amount of FeMC6*a as low as 0.5 μM in the concentration (1.75 mg/L).

2.3. Estimation of the Catalytic Efficiency for Neutral Red Oxidation

As previously mentioned, NR degradation is accompanied by the appearance of two bands around 330 and 430 nm. These bands are characterized by a lower extinction coefficient with respect to the NR absorption features at 280/520 nm and can be most probably related to the formation of a single oxidation product. To better understand this phenomenon, the NR oxidation catalyzed by FeMC6*a was studied in further detail. NR oxidation was followed every minute for 15 min in the presence of a lower amount of hydrogen peroxide (0.10 mM) and with a slightly higher concentration of substrate (0.12 mM, Figure 7).
Two isosbestic points at 443 nm and 308 nm confirmed the preliminary hypothesis that FeMC6*a stoichiometrically converts NR to a single product (Figure 7a). NR was previously oxidized by unselective Fenton chemistry or by photooxidation [55,66]; therefore, only limited data has been acquired so far about product identities. In one case, demethylation of the ternary amine, as well as deamination, were invoked after photooxidation; however, no UV spectra were reported for these products. From a different perspective, NR, as well as other phenazines, is able to perform oxidative polymerization on the surfaces of electrodes (deposition potential 0.9–1.2 V vs. SHE) [67,68,69,70]. In both cases, relatively stable radical species should be involved in the mechanism of polymerization. In our case, a partial loss of conjugation might be expected based on the UV band shifts, thus supporting radical cation formation, but unfortunately, at the moment, the identity of the elusive oxidation product could not be defined.
Interestingly, NR oxidation by FeMC6*a involves the formation of a single product; thus, the reaction is amenable for a deeper catalytic characterization. Two sets of kinetic experiments were performed by varying the H2O2 concentration at a fixed NR concentration and vice versa (Figure 8).
The initial rates of NR oxidation (v0) were plotted as a function of both substrate concentrations by keeping a high excess of either NR (25 mM, Figure 8a) or H2O2 (0.1 M, Figure 8b). The enzyme activity follows the typical Michaelis–Menten kinetics in both cases. Therefore, as previously reported for other substrates, a reaction mechanism might be invoked (Scheme 1) that involves the formation of two highly oxidizing iron-oxo intermediates, the so-called Compound I (Cpd I) and Compound II (Cpd II).
The catalytic parameters were determined by fitting v0 values with a simple single-substrate equation (Table 2).
A direct comparison of the kcat value for NR oxidation to that obtained for TCP, under the same experimental conditions, reveals that FeMC6*a performs approximately half the turnovers per second [43]. This is also directly reflected on the kinetic efficiency (kcat/Km), given that the Km values are equivalent within the experimental error. The kcat values have been previously found to be inversely proportional to the reduction potentials of the substrates [71,72]. This is actually reflected in the lower reduction potential of TCP (~0.9 V vs. SHE) with respect to NR (~1.2 V vs. SHE) [70,72]. Finally, when compared to other dye-degrading peroxidase mimics, the FeMC6*a turnover frequency values are fairly similar [28,72].
It is worth noting that KmH2O2 is significantly lower than previously assessed, indicating that FeMC6*a has a higher affinity for peroxide during NR oxidation. Two possible explanations may be proposed. The former involves the formation of a NR/FeMC6*a complex that is apparently more active towards peroxide than FeMC6*a alone, most probably by drifting the iron reduction potential. The latter may be attributed to an active role of NR in the protonation/deprotonation steps along the reaction pathway. Nevertheless, both explanations may concur with the observed outcome.

3. Materials and Methods

All reagents used were purchased from Merck (Merck KGaA, Darmstadt, Germany) and used without further purification. All organic solvents used were supplied by Romil (Cambridge, UK). Phosphate salts (monobasic and dibasic) for preparation of the buffers and H2O2 (30% v/v) were provided by Merck. All buffer solutions were made by using water with a HPLC purity grade (Romil). Data analysis was performed using OriginPro, version 9.0 (Origin Lab Corporation, Northampton, MA, USA). All chromatographic analyses and purifications were performed using HPLC grade solvents. All stock solutions were stored at 4 °C away from light, unless otherwise specified. The UV–Vis analysis and kinetic experiments were recorded with a Cary 60 spectrophotometer (Agilent, Santa Clara, CA, USA) equipped with a thermostatic cell compartment, using quartz cuvettes with 0.10, 0.01, and 1.00 cm path lengths. Wavelength scans were performed at 25 °C from 200 to 800 nm, with a 600 nm min−1 scan speed. All data were blank-corrected.
Fe-MC6*a was synthesized, purified, and characterized as previously described by us [39].
Stock solutions of Fe-MC6*a were prepared by dissolving the pure, lyophilized compound in acidic water (0.1% TFA v/v) and diluted to the final concentration in the reaction buffer (100 mM sodium phosphate, pH 6.5). Concentrations were determined spectrophotometrically using a molar extinction coefficient (ε387) of 1.7 × 105 M−1cm−1. Stock solutions of H2O2 were prepared by the proper dilution of a commercial stock solution (30% w/w in H2O), and their concentration was determined by UV–Vis absorption spectroscopy using ε240 = 39.40 M−1 cm−1.
Stock solutions of the dyes were freshly prepared by dissolving a weighted amount of the pure compound in water. The concentration was checked spectrophotometrically using the determined molar extinction coefficient (see Table S1 and Figures S3–S6 in the Supplementary Materials). Especially for MB, the maximum at 663 nm of the monomeric species was used to determine the final concentration, because the band at 610 nm has been previously attributed to the dimeric species [73].

3.1. Preliminary Screening of Dye Activity

The FeMC6*a catalytic efficiency in dye-decolorizing and substrate degradation has been explored by monitoring the changes in the absorption spectra every minute for a total of 60 min using the following operational conditions: 100 mM sodium phosphate buffer, pH 6.5, 1 μM catalyst concentration, and 0.25 mM peroxide concentration. The following substrate concentrations were used: Bromophenol Blue 1.35 × 10−5 M, Methylene Blue 1.29 × 10−5 M, Neutral Red 0.60 × 10−4 M, and Xylenol Orange 7.80 × 10−5 M.
The dye decolorization rate was estimated by measuring the absorbance of the different dyes at the following wavelengths: λ = 520 nm for NR, λ = 663 nm for MB, λ = 591 nm for BPB, and λ = 580 nm for XO. The decolorizing yield was calculated using the following Equation (1):
D e c o l o r i z a t i o n ( % ) = ( A i A f ) A f × 100
where Ai and Af are the initial and the final absorbance of the dyes, respectively.

3.2. Optimization of Experimental Conditions for Catalytic Activity of FeMC6*a

The experimental conditions for the catalytic assays were optimized in terms of the catalyst and substrate concentrations. The optimization was performed using the Tecan Spark plate reader (Tecan Trading AG, Männedorf, Switzerland) with Corning 24-well Clear Multiple Well Plates as the reaction vessels. Each well was filled to a final volume V = 2.0 mL to gain a path length of 1.0 cm.
The experiments were performed at variable catalyst concentrations (in the range of 0.1 nM–1.0 μM) by using a fixed concentration of the substrate (9.9 μM and 0.11 mM for MB and NR, respectively) and of hydrogen peroxide (3.0 mM).
The reactions were started by the addition of H2O2 to a stirring mixture of catalyst preloaded with the substrate, and the reaction progress was followed over five minutes by monitoring the changes in the absorbance band at λ = 663 nm for MB and λ = 520 nm for NR. The absorption values were recorded every minute.
To evaluate the optimum H2O2 concentration, the catalyst and the substrate concentrations were fixed while different H2O2 concentrations (0.1–20 mM) were explored.
In these experiments, the FeMC6*a concentration was 0.5 μM, and the substrate concentration was 9.9 μM and 110 μM for MB and NR, respectively.
Finally, the effect of the substrate concentration was investigated. The experiments were performed at a 0.5 μM concentration of FeMC6*a and a 3.0 mM concentration of oxidizing substrate, while the substrates were varied in the range of 0.72–10 μM for MB and from 26 to 106 μM for NR.

3.3. Catalytic Assays

Kinetic assays were performed using an Agilent Cary 60 spectrophotometer equipped with a thermostated cell holder and magnetic stirrer. The kinetic measurements were performed at 25 °C and under magnetic stirring, using quartz cuvettes with a 1.0 cm path length. The dye used in the catalytic assay was Neutral Red. To evaluate the enzyme activity, the decreasing of the absorbance at λ = 520 nm (ε520 = 9.47 × 103 M−1 cm−1) was monitored for 10 min.
All reactions were carried out in phosphate buffer (100 mM, pH 6.5). The enzyme concentration in all the experiments was fixed at 1.00 μM. The stock solution of FeMC6*a was prepared in H2O 0.1% (v/v) TFA (ε387 = 1.17 × 105 M−1 cm−1) and diluted to the final concentration (1.00 μM) in the reaction buffer.
The substrate and hydrogen peroxide stock solutions were freshly prepared, and their initial concentrations were determined by UV–Vis spectroscopy (H2O2, ε240 = 39.4 M−1 cm−1).
The Km values for NR and H2O2 were measured by keeping constant one of the two substrate concentrations while varying the other one and vice versa. The progress curves of the reaction were monitored at λ = 520 nm. For the determination of KmH2O2, the NR concentration was fixed at 25 mM, while H2O2 was varied from 0 to 200 mM. For the determination of KmNR, the H2O2 concentration was fixed at 100 mM, while the NR concentration was varied from 0 to 110 μM.
The initial rate (v0, mM s−1) values were plotted as a function of the substrate concentrations, and the data points were fitted according to the Michaelis–Menten equation using Origin Pro 9.0 software.

4. Conclusions

In this work, miniaturized peroxidase FeMC6*a was employed as the catalyst for the decolorization of four dyes: two heterocyclic dyes (Neutral Red, NR and Methylene Blue, MB) and two triarylmethane dyes (Xylenol Orange, XO and Bromophenol Blue, BPB). The results obtained with FeMC6*a look very promising compared to those reported in the literature for all four dyes.
In particular, the enzymatic reaction catalyzed by FeMC6*a in the presence of H2O2 allowed oxidation, with good yields and within a short time range (3–15 min), of three out of the four dyes screened in this study.
Our catalyst is able to perform dye decolorization at an almost neutral pH under mild experimental conditions in the absence of organic cosolvents and using a green and environmentally friendly oxidant. Notably, a remarkable dye-decoloring effect was observed for two dyes, namely XO and NR, for which enzymatic treatments were not reported or unsatisfactory. In particular, differently from DyP, FeMC6*a is capable of oxidizing NR, most probably because of its very high potential. Further, our catalyst displayed catalytic efficiency comparable to those reported for other dye-degrading peroxidase mimics. An intriguing aspect to be explored is represented by the combined use of the FeMC6*a/H2O2 bleaching system in combination with photocatalytic nanomaterials as a way to generate a hybrid photocatalyst [74]. By combining the selective oxidative processes of the synthetic enzyme with the photoreductive capabilities of such nanomaterials, a wider range of dyes could be degraded, hopefully with high efficiency.
All the results reported herein demonstrated that FeMC6*a is a promiscuous peroxidase with a wide substrate specificity that could be employed in the area of catalytic bleaching, an active industrial field. A specific instance comes from the leather industry, for which there is an urgent need for cheap but selective bleaching agents capable of preventing Cr(III) to Cr(VI) oxidation, a life-threatening pollutant. This practical application could have a considerable economic impact, due to the urgency of preserving and protecting the environment. The use of our miniaturized peroxidase could also provide new opportunities for the synthesis of value-added products from pollutants towards a circular economy.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms241311070/s1.

Author Contributions

Conceptualization, V.P., M.C., O.M. and A.L.; methodology, O.M., S.L.G. and M.C.; validation, O.M., M.C. and A.L.; formal analysis, S.L.G., L.L. and M.C.; investigation, S.L.G., M.D.F., L.L. and M.C.; writing—original draft preparation, M.C. and O.M.; writing—review and editing, V.P., O.M., M.C. and A.L.; visualization, M.C., O.M., S.L.G. and L.L.; and funding acquisition, A.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Italian Ministry of University and Research, PRIN 2020, Project SEA-WAVE 2020BKK3W9 (CUP E69J22001140005).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Raw data could be found at Data Repository https://doi.org/10.5281/zenodo.8106488, https://zenodo.org/record/8106488 (accessed on 22 June 2023).

Acknowledgments

We would like to thank Roberto Russo for the preliminary studies on this topic.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Odabasi, M. Halogenated Volatile Organic Compounds from the Use of Chlorine-Bleach-Containing Household Products. Environ. Sci. Technol. 2008, 42, 1445–1451. [Google Scholar] [CrossRef] [PubMed]
  2. Silva, M.C.; Torres, J.A.; Castro, A.A.; da Cunha, E.F.F.; Alves de Oliveira, L.C.; Corrêa, A.D.; Ramalho, T.C. Combined Experimental and Theoretical Study on the Removal of Pollutant Compounds by Peroxidases: Affinity and Reactivity toward a Bioremediation Catalyst. J. Biomol. Struct. Dyn. 2016, 34, 1839–1848. [Google Scholar] [CrossRef] [PubMed]
  3. Bilal, M.; Iqbal, H.M.N.; Hussain Shah, S.Z.; Hu, H.; Wang, W.; Zhang, X. Horseradish Peroxidase-Assisted Approach to Decolorize and Detoxify Dye Pollutants in a Packed Bed Bioreactor. J. Environ. Manag. 2016, 183, 836–842. [Google Scholar] [CrossRef] [PubMed]
  4. Grönqvist, S.; Viikari, L.; Niku-Paavola, M.-L.; Orlandi, M.; Canevali, C.; Buchert, J. Oxidation of Milled Wood Lignin with Laccase, Tyrosinase and Horseradish Peroxidase. Appl. Microbiol. Biotechnol. 2005, 67, 489–494. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Regalado, C.; García-Almendárez, B.E.; Duarte-Vázquez, M.A. Biotechnological Applications of Peroxidases. Phytochem. Rev. 2004, 3, 243–256. [Google Scholar] [CrossRef]
  6. Kim, S.J.; Shoda, M. Purification and Characterization of a Novel Peroxidase from Geotrichum Candidum Dec 1 Involved in Decolorization of Dyes. Appl. Environ. Microbiol. 1999, 65, 1029–1035. [Google Scholar] [CrossRef] [Green Version]
  7. Hatakka, A.; Lundell, T.; Hofrichter, M.; Maijala, P. Manganese Peroxidase and Its Role in the Degradation of Wood Lignin. In Applications of Enzymes to Lignocellulosics; ACS Symposium Series; American Chemical Society: Washington, DC, USA, 2003; Volume 855, pp. 230–243. ISBN 978-0-8412-3831-2. [Google Scholar]
  8. Wagner, M.; Nicell, J.A. Peroxidase-Catalyzed Removal of Phenols from a Petroleum Refinery Wastewater. Water Sci. Technol. 2001, 43, 253–260. [Google Scholar] [CrossRef]
  9. Aehle, W. (Ed.) Enzymes in Industry: Production and Applications, 1st ed.; Wiley: Hoboken, NJ, USA, 2007; ISBN 978-3-527-31689-2. [Google Scholar]
  10. Veitch, N.C. Horseradish Peroxidase: A Modern View of a Classic Enzyme. Phytochemistry 2004, 65, 249–259. [Google Scholar] [CrossRef]
  11. Agostini, E.; Hernández-Ruiz, J.; Arnao, M.B.; Milrad, S.R.; Tigier, H.A.; Acosta, M. A Peroxidase Isoenzyme Secreted by Turnip (Brassica Napus) Hairy-Root Cultures: Inactivation by Hydrogen Peroxide and Application in Diagnostic Kits. Biotechnol. Appl. Biochem. 2002, 35, 1–7. [Google Scholar] [CrossRef]
  12. Young, P.R. An Improved Method for the Detection of Peroxidase-Conjugated Antibodies on Immunoblots. J. Virol. Methods 1989, 24, 227–235. [Google Scholar] [CrossRef]
  13. Renz, M.; Kurz, C. A Colorimetric Method for DNA Hybridization. Nucleic Acids Res. 1984, 12, 3435–3444. [Google Scholar] [CrossRef] [Green Version]
  14. Gross, R.A.; Kumar, A.; Kalra, B. Polymer Synthesis by In Vitro Enzyme Catalysis. Chem. Rev. 2001, 101, 2097–2124. [Google Scholar] [CrossRef]
  15. van Deurzen, M.P.J.; van Rantwijk, F.; Sheldon, R.A. Selective Oxidations Catalyzed by Peroxidases. Tetrahedron 1997, 53, 13183–13220. [Google Scholar] [CrossRef]
  16. Zhang, Y.; He, P.; Hu, N. Horseradish Peroxidase Immobilized in TiO2 Nanoparticle Films on Pyrolytic Graphite Electrodes: Direct Electrochemistry and Bioelectrocatalysis. Electrochimica Acta 2004, 49, 1981–1988. [Google Scholar] [CrossRef]
  17. Jia, J.; Wang, B.; Wu, A.; Cheng, G.; Li, Z.; Dong, S. A Method to Construct a Third-Generation Horseradish Peroxidase Biosensor:  Self-Assembling Gold Nanoparticles to Three-Dimensional Sol−Gel Network. Anal. Chem. 2002, 74, 2217–2223. [Google Scholar] [CrossRef]
  18. Zhang, Y.; Zhang, Y.; Wang, H.; Yan, B.; Shen, G.; Yu, R. An Enzyme Immobilization Platform for Biosensor Designs of Direct Electrochemistry Using Flower-like ZnO Crystals and Nano-Sized Gold Particles. J. Electroanal. Chem. 2009, 627, 9–14. [Google Scholar] [CrossRef]
  19. Sergeyeva, T.A.; Lavrik, N.V.; Rachkov, A.E.; Kazantseva, Z.I.; Piletsky, S.A.; El’skaya, A.V. Hydrogen Peroxide—Sensitive Enzyme Sensor Based on Phthalocyanine Thin Film. Anal. Chim. Acta 1999, 391, 289–297. [Google Scholar] [CrossRef]
  20. Ulson de Souza, S.M.A.G.; Forgiarini, E.; Ulson de Souza, A.A. Toxicity of Textile Dyes and Their Degradation by the Enzyme Horseradish Peroxidase (HRP). J. Hazard. Mater. 2007, 147, 1073–1078. [Google Scholar] [CrossRef]
  21. Husain, Q. Potential Applications of the Oxidoreductive Enzymes in the Decolorization and Detoxification of Textile and Other Synthetic Dyes from Polluted Water: A Review. Crit. Rev. Biotechnol. 2006, 26, 201–221. [Google Scholar] [CrossRef]
  22. Bhunia, A.; Durani, S.; Wangikar, P.P. Horseradish Peroxidase Catalyzed Degradation of Industrially Important Dyes. Biotechnol. Bioeng. 2001, 72, 562–567. [Google Scholar] [CrossRef]
  23. Chang, Y.; Yang, D.; Li, R.; Wang, T.; Zhu, Y. Textile Dye Biodecolorization by Manganese Peroxidase: A Review. Molecules 2021, 26, 4403. [Google Scholar] [CrossRef]
  24. Llena, C.; Oteo, C.; Oteo, J.; Amengual, J.; Forner, L. Clinical Efficacy of a Bleaching Enzyme-Based Toothpaste. A Double-Blind Controlled Clinical Trial. J. Dent. 2016, 44, 8–12. [Google Scholar] [CrossRef] [PubMed]
  25. Gimeno, I.; Riutord, P.; Tauler, P.; Tur, J.A.; Pons, A. The Whitening Effect of Enzymatic Bleaching on Tetracycline. J. Dent. 2008, 36, 795–800. [Google Scholar] [CrossRef] [PubMed]
  26. Sigmund, M.-C.; Poelarends, G.J. Current State and Future Perspectives of Engineered and Artificial Peroxygenases for the Oxyfunctionalization of Organic Molecules. Nat. Catal. 2020, 3, 690–702. [Google Scholar] [CrossRef]
  27. Barber-Zucker, S.; Mindel, V.; Garcia-Ruiz, E.; Weinstein, J.J.; Alcalde, M.; Fleishman, S.J. Stable and Functionally Diverse Versatile Peroxidases Designed Directly from Sequences. J. Am. Chem. Soc. 2022, 144, 3564–3571. [Google Scholar] [CrossRef] [PubMed]
  28. Guo, W.-J.; Xu, J.-K.; Wu, S.-T.; Gao, S.-Q.; Wen, G.-B.; Tan, X.; Lin, Y.-W. Design and Engineering of an Efficient Peroxidase Using Myoglobin for Dye Decolorization and Lignin Bioconversion. Int. J. Mol. Sci. 2021, 23, 413. [Google Scholar] [CrossRef]
  29. Liu, C.; Xu, J.; Gao, S.-Q.; He, B.; Wei, C.-W.; Wang, X.-J.; Wang, Z.; Lin, Y.-W. Green and Efficient Biosynthesis of Indigo from Indole by Engineered Myoglobins. RSC Adv. 2018, 8, 33325–33330. [Google Scholar] [CrossRef] [Green Version]
  30. Martin-Diaz, J.; Molina-Espeja, P.; Hofrichter, M.; Hollmann, F.; Alcalde, M. Directed Evolution of Unspecific Peroxygenase in Organic Solvents. Biotechnol. Bioeng. 2021, 118, 3002–3014. [Google Scholar] [CrossRef]
  31. Li, L.-L.; Yuan, H.; Liao, F.; He, B.; Gao, S.-Q.; Wen, G.-B.; Tan, X.; Lin, Y.-W. Rational Design of Artificial Dye-Decolorizing Peroxidases Using Myoglobin by Engineering Tyr/Trp in the Heme Center. Dalton Trans. 2017, 46, 11230–11238. [Google Scholar] [CrossRef]
  32. Liao, F.; Yuan, H.; Du, K.-J.; You, Y.; Gao, S.-Q.; Wen, G.-B.; Lin, Y.-W.; Tan, X. Distinct Roles of a Tyrosine-Associated Hydrogen-Bond Network in Fine-Tuning the Structure and Function of Heme Proteins: Two Cases Designed for Myoglobin. Mol. Biosyst. 2016, 12, 3139–3145. [Google Scholar] [CrossRef]
  33. Faiella, M.; Maglio, O.; Nastri, F.; Lombardi, A.; Lista, L.; Hagen, W.R.; Pavone, V. De Novo Design, Synthesis and Characterisation of MP3, A New Catalytic Four-Helix Bundle Hemeprotein. Chem.-Eur. J. 2012, 18, 15960–15971. [Google Scholar] [CrossRef]
  34. Lin, Y.-W. Rational Design of Heme Enzymes for Biodegradation of Pollutants toward a Green Future. Biotechnol. Appl. Biochem. 2020, 67, 484–494. [Google Scholar] [CrossRef]
  35. Lin, Y.-W. Rational Design of Artificial Metalloproteins and Metalloenzymes with Metal Clusters. Molecules 2019, 24, 2743. [Google Scholar] [CrossRef] [Green Version]
  36. Leone, L.; Chino, M.; Nastri, F.; Maglio, O.; Pavone, V.; Lombardi, A. Mimochrome, a Metalloporphyrin-Based Catalytic Swiss Knife . Biotechnol. Appl. Biochem. 2020, 67, 495–515. [Google Scholar] [CrossRef]
  37. Chino, M.; Leone, L.; Zambrano, G.; Pirro, F.; D’Alonzo, D.; Firpo, V.; Aref, D.; Lista, L.; Maglio, O.; Nastri, F.; et al. Oxidation Catalysis by Iron and Manganese Porphyrins within Enzyme-like Cages. Biopolymers 2018, 109, e23107. [Google Scholar] [CrossRef]
  38. Maglio, O.; Nastri, F.; Lombardi, A. Structural and Functional Aspects of Metal Binding Sites in Natural and Designed Metalloproteins. In Ionic Interactions in Natural and Synthetic Macromolecules; Ciferri, A., Perico, A., Eds.; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 2012; pp. 361–450. ISBN 978-1-118-16585-0. [Google Scholar]
  39. Caserta, G.; Chino, M.; Firpo, V.; Zambrano, G.; Leone, L.; D’Alonzo, D.; Nastri, F.; Maglio, O.; Pavone, V.; Lombardi, A. Enhancement of Peroxidase Activity in Artificial Mimochrome VI Catalysts through Rational Design. ChemBioChem 2018, 19, 1823–1826. [Google Scholar] [CrossRef]
  40. Leone, L.; D’Alonzo, D.; Balland, V.; Zambrano, G.; Chino, M.; Nastri, F.; Maglio, O.; Pavone, V.; Lombardi, A. Mn-Mimochrome VI*a: An Artificial Metalloenzyme With Peroxygenase Activity. Front. Chem. 2018, 6, 590. [Google Scholar] [CrossRef] [Green Version]
  41. Zambrano, G.; Nastri, F.; Pavone, V.; Lombardi, A.; Chino, M. Use of an Artificial Miniaturized Enzyme in Hydrogen Peroxide Detection by Chemiluminescence. Sensors 2020, 20, 3793. [Google Scholar] [CrossRef]
  42. Renzi, E.; Piper, A.; Nastri, F.; Merkoçi, A.; Lombardi, A. An Artificial Miniaturized Peroxidase for Signal Amplification in Lateral Flow Immunoassays. Small 2023, 2207949. [Google Scholar] [CrossRef]
  43. Zambrano, G.; Sekretareva, A.; D’Alonzo, D.; Leone, L.; Pavone, V.; Lombardi, A.; Nastri, F. Oxidative Dehalogenation of Trichlorophenol Catalyzed by a Promiscuous Artificial Heme-Enzyme. RSC Adv. 2022, 12, 12947–12956. [Google Scholar] [CrossRef]
  44. D’Alonzo, D.; De Fenza, M.; Pavone, V.; Lombardi, A.; Nastri, F. Selective Oxidation of Halophenols Catalyzed by an Artificial Miniaturized Peroxidase. Int. J. Mol. Sci. 2023, 24, 8058. [Google Scholar] [CrossRef] [PubMed]
  45. Leone, L.; D’Alonzo, D.; Maglio, O.; Pavone, V.; Nastri, F.; Lombardi, A. Highly Selective Indole Oxidation Catalyzed by a Mn-Containing Artificial Mini-Enzyme. ACS Catal. 2021, 11, 9407–9417. [Google Scholar] [CrossRef]
  46. Firpo, V.; Le, J.M.; Pavone, V.; Lombardi, A.; Bren, K.L. Hydrogen Evolution from Water Catalyzed by Cobalt-Mimochrome VI*a, a Synthetic Mini-Protein. Chem. Sci. 2018, 9, 8582–8589. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Le, J.M.; Alachouzos, G.; Chino, M.; Frontier, A.J.; Lombardi, A.; Bren, K.L. Tuning Mechanism through Buffer Dependence of Hydrogen Evolution Catalyzed by a Cobalt Mini-Enzyme. Biochemistry 2020, 59, 1289–1297. [Google Scholar] [CrossRef] [Green Version]
  48. Edwards, E.H.; Le, J.M.; Salamatian, A.A.; Peluso, N.L.; Leone, L.; Lombardi, A.; Bren, K.L. A Cobalt Mimochrome for Photochemical Hydrogen Evolution from Neutral Water. J. Inorg. Biochem. 2022, 230, 111753. [Google Scholar] [CrossRef]
  49. Chino, M.; Di Costanzo, L.F.; Leone, L.; La Gatta, S.; Famulari, A.; Chiesa, M.; Lombardi, A.; Pavone, V. Designed Rubredoxin Miniature in a Fully Artificial Electron Chain Triggered by Visible Light. Nat. Commun. 2023, 14, 2368. [Google Scholar] [CrossRef]
  50. Lim, J.; Mohamad, Z. Enzymes Immobilized Polymeric Supports for Wastewater Treatment Application: A Short Review. Mater. Today Proc. 2022, 65, 2946–2952. [Google Scholar] [CrossRef]
  51. Dave, S.; Das, J.; Shah, M.P. (Eds.) Photocatalytic Degradation of Dyes: Current Trends and Future Perspectives; Elsevier: Amsterdam, The Netherlands; Cambridge, MA, USA, 2021; ISBN 978-0-12-823876-9. [Google Scholar]
  52. Si, J.; Li, X.-C.; Cui, B.-K. Decolorization of Heterocycle Dye Neutral Red by White-Rot Fungus Perenniporia subacida. Desalination Water Treat. 2014, 52, 5594–5604. [Google Scholar] [CrossRef]
  53. Yuan, X.; Tian, G.; Zhao, Y.; Zhao, L.; Wang, H.; Ng, T.B. Degradation of Dyes Using Crude Extract and a Thermostable and PH-Stable Laccase Isolated from Pleurotus Nebrodensis. Biosci. Rep. 2016, 36, e00365. [Google Scholar] [CrossRef] [Green Version]
  54. Lončar, N.; Colpa, D.I.; Fraaije, M.W. Exploring the Biocatalytic Potential of a DyP-Type Peroxidase by Profiling the Substrate Acceptance of Thermobifida Fusca DyP Peroxidase. Tetrahedron 2016, 72, 7276–7281. [Google Scholar] [CrossRef]
  55. Alnuaimi, M.M.; Rauf, M.A.; Ashraf, S.S. Comparative Decoloration Study of Neutral Red by Different Oxidative Processes. Dyes Pigments 2007, 72, 367–371. [Google Scholar] [CrossRef]
  56. Pereira, A.R.; da Costa, R.S.; Yokoyama, L.; Alhadeff, E.M.; Teixeira, L.A.C. Evaluation of Textile Dye Degradation Due to the Combined Action of Enzyme Horseradish Peroxidase and Hydrogen Peroxide. Appl. Biochem. Biotechnol. 2014, 174, 2741–2747. [Google Scholar] [CrossRef]
  57. Ollikka, P.; Alhonmäki, K.; Leppänen, V.-M.; Glumoff, T.; Raijola, T.; Suominen, I. Decolorization of Azo, Triphenyl Methane, Heterocyclic, and Polymeric Dyes by Lignin Peroxidase Isoenzymes from Phanerochaete Chrysosporium. Appl. Environ. Microbiol. 1993, 59, 4010–4016. [Google Scholar] [CrossRef] [Green Version]
  58. Ullah, A.K.M.A.; Kibria, A.K.M.F.; Akter, M.; Khan, M.N.I.; Tareq, A.R.M.; Firoz, S.H. Oxidative Degradation of Methylene Blue Using Mn3O4 Nanoparticles. Water Conserv. Sci. Eng. 2017, 4, 249–256. [Google Scholar] [CrossRef] [Green Version]
  59. Zucca, P.; Rescigno, A.; Pintus, M.; Rinaldi, A.C.; Sanjust, E. Degradation of Textile Dyes Using Immobilized Lignin Peroxidase-like Metalloporphines under Mild Experimental Conditions. Chem. Cent. J. 2012, 6, 161. [Google Scholar] [CrossRef] [Green Version]
  60. Zhu, M.; Diao, G. Synthesis of Porous Fe3O4 Nanospheres and Its Application for the Catalytic Degradation of Xylenol Orange. J. Phys. Chem. C 2011, 115, 18923–18934. [Google Scholar] [CrossRef]
  61. Kagliwal, L.D.; Singhal, R.S. Enzyme–Polysaccharide Interaction: A Method for Improved Stability of Horseradish Peroxidase. Int. J. Biol. Macromol. 2014, 69, 329–335. [Google Scholar] [CrossRef]
  62. Vinueza Galárraga, J.C.; dos Santos, A.F.; Bassan, J.C.; Goulart, A.J.; Monti, R. Bromophenol Blue Discoloration Using Peroxidase Immobilized on Highly Activated Corncob Powder. Rev. Cienc. Farm. Basica E Apl. 2013, 34, 321–326. [Google Scholar]
  63. Abdel-Khalek, A.A.; Nassar, H.F.; Abdel-Gawad, F.K.; Basem, S.M.; Awad, S. Photocatalytic Degradation of Bromophenol Blue in Wastewater Using Pure ZnO and Ag+ Doped ZnO. Quantum Matter 2016, 5, 297–304. [Google Scholar] [CrossRef]
  64. Ferreira-Leitão, V.S.; de Carvalho, M.E.A.; Bon, E.P.S. Lignin Peroxidase Efficiency for Methylene Blue Decolouration: Comparison to Reported Methods. Dyes Pigments 2007, 74, 230–236. [Google Scholar] [CrossRef]
  65. Ayala, M. Redox Potential of Peroxidases. In Biocatalysis Based on Heme Peroxidases: Peroxidases as Potential Industrial Biocatalysts; Torres, E., Ayala, M., Eds.; Springer: Berlin/Heidelberg, Germany, 2010; pp. 61–77. ISBN 978-3-642-12627-7. [Google Scholar]
  66. Liu, Z.; Zhong, Y.; Hu, Z.; Zhang, W.; Zhang, X.; Ji, X.; Wang, X. Modification of ZIF-8 Nanocomposite by a Gd Atom Doped TiO2 for High Efficiency Photocatalytic Degradation of Neutral Red Dye: An Experimental and Theoretical Study. J. Mol. Liq. 2023, 380, 121729. [Google Scholar] [CrossRef]
  67. Pauliukaite, R.; Brett, C. Poly(Neutral Red): Electrosynthesis, Characterization, and Application as a Redox Mediator. Electroanalysis 2008, 20, 1275–1285. [Google Scholar] [CrossRef] [Green Version]
  68. Lin, K.C.; Lin, Y.C.; Chen, S.M. Electrocatalytic Reaction of Hydrogen Peroxide and NADH Based on Poly(Neutral Red) and FAD Hybrid Film. Analyst 2011, 137, 186–194. [Google Scholar] [CrossRef]
  69. Pauliukaite, R.; Ghica, M.E.; Barsan, M.M.; Brett, C.M.A. Phenazines and Polyphenazines in Electrochemical Sensors and Biosensors. Anal. Lett. 2010, 43, 1588–1608. [Google Scholar] [CrossRef]
  70. Chen, S.-M.; Lin, K.-C. The Electrocatalytic Properties of Polymerized Neutral Red Film Modified Electrodes. J. Electroanal. Chem. 2001, 511, 101–114. [Google Scholar] [CrossRef]
  71. Ayala, M.; Roman, R.; Vazquez-Duhalt, R. A Catalytic Approach to Estimate the Redox Potential of Heme-Peroxidases. Biochem. Biophys. Res. Commun. 2007, 357, 804–808. [Google Scholar] [CrossRef]
  72. Jenkins, J.M.X.; Noble, C.E.M.; Grayson, K.J.; Mulholland, A.J.; Anderson, J.L.R. Substrate Promiscuity of a de Novo Designed Peroxidase. J. Inorg. Biochem. 2021, 217, 111370. [Google Scholar] [CrossRef]
  73. Bergmann, K.; O’Konski, C.T. A Spectroscopic Study of Methylene Blue Monomer, Dimer, and Complexes with Montmorillonite. J. Phys. Chem. 1963, 67, 2169–2177. [Google Scholar] [CrossRef]
  74. Rej, S.; Hejazi, S.M.H.; Badura, Z.; Zoppellaro, G.; Kalytchuk, S.; Kment, Š.; Fornasiero, P.; Naldoni, A. Light-Induced Defect Formation and Pt Single Atoms Synergistically Boost Photocatalytic H2 Production in 2D TiO2-Bronze Nanosheets. ACS Sustain. Chem. Eng. 2022, 10, 17286–17296. [Google Scholar] [CrossRef]
Figure 1. MC6*a designed model and its dominant enzymatic activities exhibited with different metals.
Figure 1. MC6*a designed model and its dominant enzymatic activities exhibited with different metals.
Ijms 24 11070 g001
Figure 2. Structures of the dyes tested in this work. (a) Neutral Red (NR), Methylene Blue (MB), Xylenol Orange (XO), and Bromophenol Blue (BPB) are shown in one representative resonance/tautomeric structure over several possible ones. The bar plot (b) reports the decolorization percentage for NR (110 μM, red), MB (12.9 μM, cyan), XO (78 μM, orange), and BPB (13.5 μM, blue) when 1 μM FeMC6*a was absent (left, half filled) or present (right, filled) in the reaction mixture (100 mM phosphate buffer, pH 6.5, 0.25 mM H2O2).
Figure 2. Structures of the dyes tested in this work. (a) Neutral Red (NR), Methylene Blue (MB), Xylenol Orange (XO), and Bromophenol Blue (BPB) are shown in one representative resonance/tautomeric structure over several possible ones. The bar plot (b) reports the decolorization percentage for NR (110 μM, red), MB (12.9 μM, cyan), XO (78 μM, orange), and BPB (13.5 μM, blue) when 1 μM FeMC6*a was absent (left, half filled) or present (right, filled) in the reaction mixture (100 mM phosphate buffer, pH 6.5, 0.25 mM H2O2).
Ijms 24 11070 g002
Figure 3. Decolorization process as followed by UV–Vis spectroscopy. Two spectra are reported for each dye, the first before the addition of H2O2 (black dashed line) and the second after the addition of H2O2, when no further consumption of the dye was observed (red line). All the reactions were performed in a solution of the dye and 1 μM FeMC6*a in 100 mM phosphate buffer, pH 6.5, to which 0.25 mM H2O2 was added. Dye oxidation was monitored over 15 min for NR (60 μM, (a)), MB (12.9 μM, (b)), XO (78 μM, (c)), and BPB (13.5 μM, (d)). Insets show the photographic pictures of the reaction mixtures before (left) and after (right) decolorization.
Figure 3. Decolorization process as followed by UV–Vis spectroscopy. Two spectra are reported for each dye, the first before the addition of H2O2 (black dashed line) and the second after the addition of H2O2, when no further consumption of the dye was observed (red line). All the reactions were performed in a solution of the dye and 1 μM FeMC6*a in 100 mM phosphate buffer, pH 6.5, to which 0.25 mM H2O2 was added. Dye oxidation was monitored over 15 min for NR (60 μM, (a)), MB (12.9 μM, (b)), XO (78 μM, (c)), and BPB (13.5 μM, (d)). Insets show the photographic pictures of the reaction mixtures before (left) and after (right) decolorization.
Ijms 24 11070 g003
Figure 4. Decolorization percentage of NR (110 μM (a)) and MB (9.9 μM (b)) as a function of the FeMC6*a concentration. The reaction was performed in 100 mM phosphate buffer, pH 6.5, 3 mM H2O2. The dashed line between each point was intended as a guide for the eye, while the error bars defined a 10% confidence level.
Figure 4. Decolorization percentage of NR (110 μM (a)) and MB (9.9 μM (b)) as a function of the FeMC6*a concentration. The reaction was performed in 100 mM phosphate buffer, pH 6.5, 3 mM H2O2. The dashed line between each point was intended as a guide for the eye, while the error bars defined a 10% confidence level.
Ijms 24 11070 g004
Figure 5. Decolorization percentage of NR (110 μM (a)) and MB (9.9 μM (b)) as a function of the H2O2 concentration. The reaction was performed in 100 mM phosphate buffer, pH 6.5, 0.5 μM FeMC6*a. The dashed line between each point was intended as a guide for the eye, while the error bars defined a 10% confidence level.
Figure 5. Decolorization percentage of NR (110 μM (a)) and MB (9.9 μM (b)) as a function of the H2O2 concentration. The reaction was performed in 100 mM phosphate buffer, pH 6.5, 0.5 μM FeMC6*a. The dashed line between each point was intended as a guide for the eye, while the error bars defined a 10% confidence level.
Ijms 24 11070 g005
Figure 6. Decolorization percentage of NR (a) and MB (b) as a function of their respective concentrations (26–106 μM and 0.72–10 μM, respectively). The reaction was performed in 100 mM phosphate buffer, pH 6.5, 0.5 μM FeMC6*a, and 3.0 mM H2O2. The dashed line between each point was intended as a guide for the eye, while the error bars defined a 10% confidence level.
Figure 6. Decolorization percentage of NR (a) and MB (b) as a function of their respective concentrations (26–106 μM and 0.72–10 μM, respectively). The reaction was performed in 100 mM phosphate buffer, pH 6.5, 0.5 μM FeMC6*a, and 3.0 mM H2O2. The dashed line between each point was intended as a guide for the eye, while the error bars defined a 10% confidence level.
Ijms 24 11070 g006
Figure 7. NR (0.12 mM) degradation followed by UV–Vis absorption spectroscopy. Spectra were acquired every minute for 15 min (colored lines from violet to red) (a). The absorption band decrease at 520 nm is accompanied by the formation of a band at 330 nm (b). The reaction was performed in 100 mM phosphate buffer, pH 6.5, 1.0 μM FeMC6*a, and 0.10 mM H2O2.
Figure 7. NR (0.12 mM) degradation followed by UV–Vis absorption spectroscopy. Spectra were acquired every minute for 15 min (colored lines from violet to red) (a). The absorption band decrease at 520 nm is accompanied by the formation of a band at 330 nm (b). The reaction was performed in 100 mM phosphate buffer, pH 6.5, 1.0 μM FeMC6*a, and 0.10 mM H2O2.
Ijms 24 11070 g007
Figure 8. Oxidation activity of FeMC6*a. (a) Initial rate dependence towards the H2O2 concentration. The reaction conditions were FeMC6*a (1 µM) and NR (25 mM) in 100 mM phosphate buffer, pH 6.5. (b) Initial rate dependence towards NR concentration. The reaction conditions were FeMC6*a (1 µM) and H2O2 (0.10 M) in 100 mM phosphate buffer, pH 6.5. The data points were fitted using the Michaelis–Menten equation (red lines), and the error bars corresponded to the standard deviation of three repetitions.
Figure 8. Oxidation activity of FeMC6*a. (a) Initial rate dependence towards the H2O2 concentration. The reaction conditions were FeMC6*a (1 µM) and NR (25 mM) in 100 mM phosphate buffer, pH 6.5. (b) Initial rate dependence towards NR concentration. The reaction conditions were FeMC6*a (1 µM) and H2O2 (0.10 M) in 100 mM phosphate buffer, pH 6.5. The data points were fitted using the Michaelis–Menten equation (red lines), and the error bars corresponded to the standard deviation of three repetitions.
Ijms 24 11070 g008
Scheme 1. Proposed mechanism for NR oxidation by FeMC6*a.
Scheme 1. Proposed mechanism for NR oxidation by FeMC6*a.
Ijms 24 11070 sch001
Table 2. Comparison of the Michaelis–Menten parameters for FeMC6*a.
Table 2. Comparison of the Michaelis–Menten parameters for FeMC6*a.
Substrate (S)kcat
(s−1)
Km
(mM)
KmH2O2
(mM)
kcat/Km
(mM−1 s−1)
Reference
NR 28 ± 30.11 ± 0.0131 ± 4258This work
TCP 70 ± 60.10 ± 0.0294 ± 8700[43]
Phosphate buffer, pH 6.5.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Chino, M.; La Gatta, S.; Leone, L.; De Fenza, M.; Lombardi, A.; Pavone, V.; Maglio, O. Dye Decolorization by a Miniaturized Peroxidase Fe-MimochromeVI*a. Int. J. Mol. Sci. 2023, 24, 11070. https://doi.org/10.3390/ijms241311070

AMA Style

Chino M, La Gatta S, Leone L, De Fenza M, Lombardi A, Pavone V, Maglio O. Dye Decolorization by a Miniaturized Peroxidase Fe-MimochromeVI*a. International Journal of Molecular Sciences. 2023; 24(13):11070. https://doi.org/10.3390/ijms241311070

Chicago/Turabian Style

Chino, Marco, Salvatore La Gatta, Linda Leone, Maria De Fenza, Angela Lombardi, Vincenzo Pavone, and Ornella Maglio. 2023. "Dye Decolorization by a Miniaturized Peroxidase Fe-MimochromeVI*a" International Journal of Molecular Sciences 24, no. 13: 11070. https://doi.org/10.3390/ijms241311070

APA Style

Chino, M., La Gatta, S., Leone, L., De Fenza, M., Lombardi, A., Pavone, V., & Maglio, O. (2023). Dye Decolorization by a Miniaturized Peroxidase Fe-MimochromeVI*a. International Journal of Molecular Sciences, 24(13), 11070. https://doi.org/10.3390/ijms241311070

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop