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Letter

Use of an Artificial Miniaturized Enzyme in Hydrogen Peroxide Detection by Chemiluminescence

Department of Chemical Sciences, University of Naples “Federico II”. Via Cintia, 80126 Napoli, Italy
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(13), 3793; https://doi.org/10.3390/s20133793
Submission received: 25 May 2020 / Revised: 25 June 2020 / Accepted: 3 July 2020 / Published: 6 July 2020
(This article belongs to the Special Issue Advances in Optical, Fluorescent and Luminescent Biosensors)

Abstract

:
Advanced oxidation processes represent a viable alternative in water reclamation for potable reuse. Sensing methods of hydrogen peroxide are, therefore, needed to test both process progress and final quality of the produced water. Several bio-based assays have been developed so far, mainly relying on peroxidase enzymes, which have the advantage of being fast, efficient, reusable, and environmentally safe. However, their production/purification and, most of all, batch-to-batch consistency may inherently prevent their standardization. Here, we provide evidence that a synthetic de novo miniaturized designed heme-enzyme, namely Mimochrome VI*a, can be proficiently used in hydrogen peroxide assays. Furthermore, a fast and automated assay has been developed by using a lab-bench microplate reader. Under the best working conditions, the assay showed a linear response in the 10.0–120 μM range, together with a second linearity range between 120 and 500 μM for higher hydrogen peroxide concentrations. The detection limit was 4.6 μM and quantitation limits for the two datasets were 15.5 and 186 μM, respectively. In perspective, Mimochrome VI*a could be used as an active biological sensing unit in different sensor configurations.

Graphical Abstract

1. Introduction

According to the United Nations (UN) and World Health Organization (WHO) reports about the consequences of climate change, extreme weather events and variable climates are affecting food and water supplies [1,2]. Moreover, free access to drinking water is considered a fundamental and universal human right [3]. In this context, water reclamation for potable reuse is nowadays considered a necessary approach to face near-future water scarcity. Among the chemical, physical, and biological treatments to which reclaimed water must be subjected, advanced oxidation processes (AOPs), coupling either UV irradiation or ozonation in the presence of hydrogen peroxide, are effective both in microbial sterilization and organic pollutant oxidative degradation [4,5,6]. Hydrogen peroxide determination is, therefore, crucial in: (i) Assessing the undesired residual peroxide concentration of the final treated water; (ii) monitoring, hopefully on a real-time basis, the process performance; (iii) tuning the reagent amount in order to get the best results in terms of its ecological and economic costs.
The determination of hydrogen peroxide is a historically fervent research field, as its concentration in solution is directly or indirectly related to the activity of several enzymes [7,8]. Many bio-based assays have been developed with potential food, clinical, and biotechnological applications [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33]. Different techniques may be coupled to these assays, such as spectrophotometry [9], fluorimetry [10,11], electrochemistry [12,13,14,15,16,17], and chemiluminescence (CL) [18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33], giving rise to a wide spectrum of sensitivities and variable ranges of detection. CL offers several advantages, such as the use of very sensitive and miniaturized detectors, from lab bench PMT detectors to smartphone CCD cameras, and the almost complete absence of background signal [8]. To this aim, luminol has been widely preferred over other CL reagents thanks to its high quantum yield, enabling the detection of trace amounts of materials [7,23,24,25,26,27,28,34]. Upon oxidation, luminol (LH2) develops blue light with an emission maximum at 425 nm. Several oxidation conditions have been reported in the literature, involving either catalyzed activation of hydrogen peroxide in alkaline medium, or in situ formation of singlet dioxygen species (1O2) [26,35,36,37,38]. Biomolecule-based activation of hydrogen peroxide has several advantages over other methods, it is generally highly selective and efficient, the catalyst can be recycled, and the use of toxic reagents is avoided [22,23,24,25]. Horseradish peroxidase (HRP) catalyzes hydrogen peroxide activation and further oxidation of luminol, thus generating a moderately high and durable luminescence signal (LS). The mechanism of luminol oxidation by HRP has been studied in detail and involves several steps before light emission [37,39,40,41,42,43,44]. First, hydrogen peroxide induces the formation of the high oxidation state compound I (C-I) intermediate (Scheme 1; step 1), which, in turn, oxidizes two equivalents of luminol, in the deprotonated form LH under alkaline conditions, through the formation of the compound II (C-II) intermediate (Scheme 1; steps 2–3). Subsequently, rapid dismutation of the early produced radical species yields the fully oxidized diazaquinone (L; Scheme 1; step 4). Finally, an uncatalyzed coupling between a second equivalent of H2O2 and L takes place in the rate-limiting step, which gives rise to dinitrogen release and formation of 3-aminophtalate (3-AP) in an excited triplet state (Scheme 1; step 5). Intersystem crossing then leads to the decay toward the emissive singlet state.
Suitability of the HRP/luminol reaction system in the determination of hydrogen peroxide has been recognized many years ago [18]. Both batch and flow assays have been developed, even though only a limited response, in terms of linearity range and limit of detection (LOD), could be achieved [9,21,22,23,24,25]. A substantial upgrade of the sensing capacity was accomplished both by enzyme immobilization onto different matrices and by LS enhancers [9,22,23,24,25,45,46]. LS could be modulated by the presence of different organic molecules (generally aromatic), detergents, and metal ions, both in the enhancement and in the suppression of the emitted light, allowing the determination of several analytes [23,24,25]. Finally, bi-enzymatic sensors could be developed by coupling HRP/luminol LS either to H2O2-dependent enzymes, as glucose oxidase (GOx) enzyme for glucose determination, or to highly selective antibodies for antigen detection [34,47].
Artificial metalloenzymes (ArMs) have shown their versatility in modeling natural functions as well as in engineering catalytic sites able to perform uncommon or non-natural substrate conversion [48,49,50,51,52]. In this respect, we developed different metal-binding sites in the context of either four-helix bundle [53,54] or peptide-porphyrin conjugates [55,56,57]. In the former scaffold, we afforded the design of non-heme di-iron oxidases and oxygenases, as well as the stabilization of an unprecedented tetra-zinc metal cofactor [58,59,60,61]. In the latter, we miniaturized and then reengineered the heme-binding site of globins, obtaining a tailor-made set of catalysts named Mimochromes (MC) [62,63,64,65,66,67,68]. The MC scaffold recovers many natural hemeprotein prerogatives, by mimicking the first and second coordination sphere interactions around the metal cofactor. MCs comprise two small peptide chains covalently linked to deuteroporphyrin and arranged to fold into a helix–heme–helix sandwich (Figure 1a). Over the years, we rationally evolved the construct from a coordinatively saturated non-catalytic complex to penta-coordinated catalytic analogs [62,63,64]. An iterative process of design and redesign allowed us to engineer and optimize the peroxidase activity into an MC scaffold, thus affording MC6*a (Figure 1a) [65]. MC6*a comprises: A tetradecapeptide (TD) chain bearing a His residue acting as the heme axial proximal ligand; a decapeptide (D) chain, lacking the metal coordinating residue, thus resembling the distal site of heme-peroxidase for accommodating hydrogen peroxide. The helix–heme–helix sandwich structure is stabilized by an inter-chain salt bridge between the Glu2 residue in the (D) chain and the Arg10 residue in the (TD) chain. Further, two 2-aminoisobutyric acid (Aib), at positions 3 and 7 of the (D) chains, stabilize the helical conformation and drive the peptide chain to face the metalloporphyrin ring, thanks to hydrophobic interactions (Figure 1b).
FeMC6*a overcomes the catalytic activity of HRP in ABTS oxidation [65] and in thioanisole oxygenation [66]. This minimal scaffold showed higher resistance against oxidative damage, thus highlighting the protective role exerted by the peptide matrix on the metal cofactor, and it was able to tune the reactivity of the metalloporphyrin. Indeed, MC6*a manganese complexes were found to be a competent catalyst in peroxygenase activities [66], whereas the cobalt derivative was active in hydrogen evolution catalysis [67,68].
Substituting natural enzymes with properly designed metalloenzymes would be valuable, as fine-tuning the enzyme performances by design should open the way to the construction of tailor made catalysts. The interesting results obtained on the MC6*a artificial enzyme prompted us to exploit its practical application. To this end, we have recently reported the feasibility of FeMC6*a as a clickable artificial peroxidase, which easily reacts with azide-functionalized molecules and/or nanomaterials to afford functional bioconjugates [69]. Further, the ability of FeMC6*a to overcome HRP catalytic behavior suggested its application as a substitute of natural enzymes in biosensor technology.
In this study, we describe the FeMC6*a proficiency in catalyzing the luminol oxidation and further light emission. First, we compared the activities of FeMC6*a to commercial HRP. Then, we developed a batch assay for H2O2 determination, which can be performed with a simple microplate reader, by screening the best reaction conditions in terms of pH, enzyme, and luminol concentrations. Given the complex kinetic interplay of the reaction steps, the outcome of these experiments is not trivial, and they could be interpreted in terms of the mechanism reported for the natural peroxidase. Finally, we showed that FeMC6*a induces H2O2-dependent LS, which is linear over a wider range of concentrations, compared to HRP, and we tested this in the simulated AOP of a reducing aromatic compound.

2. Materials and Methods

2.1. Reagents

All reagents have been purchased from Sigma-Merck, if not differently specified. HRP Type VI-A (batch SLBH1737V) lyophilized powder was at > 950 U/mg (using ABTS) and directly renatured under the assayed buffer conditions (ε(403) = 100 mM−1 × cm−1). Hydrogen peroxide and FeMC6*a stock solutions were prepared using 39.4 M−1 × cm−1 (at 240 nm) and 117 mM−1 × cm−1 (at 387 nm) as the molar absorptivities, respectively.

2.2. Enzyme Synthesis and Purification

MC6*a free base has been synthesized as previously reported [65]. Iron insertion has been accomplished by a slightly modified acetate method, as reported elsewhere [63]. FeMC6*a purity has been ascertained by LC–MS analysis (LC-20 Prominence coupled to an ESI IT-TOF high-resolution mass spectrometer, Shimadzu Corporation, Japan) to be higher than 95%.

2.3. Luminescence Standard Assay

The standard assay was prepared in a 135 μL final volume reaction mixture containing 0.3 μM FeMC6*a and 0.100 mM luminol. After 2 min of incubation at 25 °C, aliquots of H2O2 stock solutions (15 μL) were added to the assay solution. Chemiluminescence measurements were carried out in a TECAN Spark plate reader (Tecan Trading AG, Switzerland) using a 96-well plate (Greiner PS Microplate, 96 Well, solid F-bottom (flat), chimney well with black sides). The rate of luminol oxidation was determined by monitoring the increase in luminescence at 425 nm. Molar absorptivity of 7630 M−1 × cm−1 at 347 nm was used for luminol standardization [40]. All measures were carried out at least three times, arbitrary units (a.u.) have been reported by dividing the instrumental response (counts per second) by 106, and the data were analyzed by the software OriginPro 8 (Copyright 1991–2007 OriginLab Corporation, Northampton, MA, USA).

2.4. Steady-State Luminescence Kinetics

Steady-state luminescence kinetic traces were recorded on a FluoroMax 4 (Horiba, Minami-ku Kyoto, Japan) instrument in the absence of any excitation (5 nm emission slit width). Temperature control was kept by an external Peltier unit. A reduced volume four-windowed cell (10/3.3 mm path lengths) was used and agitation was granted by a stirring bar. The assays were carried out in a dark room by injecting 10 μL of H2O2 to a final concentration of 3 mM with a Hamilton syringe into a 2 mL solution of 0.1 M Tris/HCl pH 8.5 buffer containing 0.5 mM luminol and 2 nM catalyst.

2.5. Simulated Advanced Oxidation Process of Thioanisole

Two four-windowed quartz cells (10 mm path lengths) were filled with 2.5 mL of either water or 81 μM thioanisole. H2O2 was then added to both cuvettes to a final concentration of 8.1 mM. Then, the samples were exposed to a UV lamp photopolymerization apparatus (type Zp lamp UV-A/B/C at 500 W, HELIOS ITALQUARTZ, Milan, Italy) for two hours. Further, 200 μL aliquots were collected at time zero and after each hour and stored at 4 °C in dark. Thereafter, all the collected aliquots were processed to the luminol assay according to the procedure reported in Section 2.3, with the exception that aliquots taken at time zero were primarily diluted 1:4 with water.

3. Results and Discussion

3.1. Assessment of the Artificial Peroxidase Proficiency in Luminol Oxidation

In order to test whether FeMC6*a could proficiently catalyze luminol oxidation by activation of hydrogen peroxide, we performed a preliminary steady-state kinetic study of LS production by FeMC6*a, and compared it to that obtained by HRP in the absence of any enhancer. When 3 mM hydrogen peroxide was added to a solution containing 0.5 mM of luminol and 2 nM of FeMC6*a, a very intense LS at 425 nm was developed that lasted more than 10 min, corresponding to the relaxation time of the 3-AP [35] (Figure 2).
A very brilliant LS peak approached its maximum after approximately 1 min and then rapidly quenched, following a kinetic trace that has been previously observed in the literature when a very high concentration of peroxidase was adopted [19,37,44], or when luminol was in high excess with respect to hydrogen peroxide [41,42,43,44,45]. Instead, in the presence of HRP as a catalyst, only a modest LS was observed in the first 600 s, under these conditions, as previously reported for this catalytic system in the absence of enhancers [46].
These encouraging results prompted us to elaborate a CL-based hydrogen peroxide assay that could be easily monitored by a bench microplate reader. Given the different sensitivity of these kind of instrument, and the different geometry of the experimental setup, we first tested the best conditions in terms of sampling time and optimal FeMC6*a concentration under very harsh conditions of H2O2/luminol (0.5/10 mM). Kinetic traces of LS as taken by the plate reader under different FeMC6*a concentrations show a strong signal after 1 min, as previously shown for the steady-state kinetic trace. However, we preferred to take our measurements at 2 min to decrease the extent of variability in the LS value (Figure 3a). The signal intensity (herein expressed in a.u., see Materials and Methods), read after 2 min, increased almost exponentially with FeMC6*a concentration up to 1 μM, slowly decaying thereafter to very low values at 10 μM concentration (Figure 3b).
The observed trend has been previously documented, and it is expected when considering that at very high amounts of catalyst, hydrogen peroxide is rapidly and entirely consumed to produce the luminol radical, and no H2O2 is then available to react with the diazaquinone (formed upon radical dismutation) to give the 3-AP (Scheme 1) [41,42,43,44,45].
Based on the FeMC6*a concentration dependence of LS (see Figure 3b), we selected 0.3 μM as the FeMC6*a concentration to be used for the optimization of other experimental conditions. This concentration appeared to us as a good compromise to obtain a strong signal without detector saturation.

3.2. Effect of pH and Luminol Concentration

Our preliminary results prompted us in screening for the best conditions for the peroxide-dependent CL assay. The optimal pH for the peroxidase activity of FeMC6*a was previously found to be 6.5 [65] in other oxidation reactions; however, the LS efficiency of luminol was maximum around pH 10 [18,22,25] where a luminol deprotonated form is abundant. The maximum LS is therefore expected in the range of 6.5–9.5. The LS was measured at 2 min after the hydrogen peroxide addition at various pH in the range of 6.5–9.5. We found optimal LS at pH of 8.5 (Figure 4a), quite similar to that reported for HRP [18,22,25]. MC6*a and HRP catalytic activities are practically indistinguishable in terms of pH dependence, making the artificial metalloenzyme a viable alternative to the natural enzyme in this specific application.
Given that luminol is involved in several reaction steps, luminol concentration is an important variable to optimize. In this respect, we decreased the luminol concentration from 10 mM down to 3 μM under the optimized FeMC6*a concentration and pH and kept the H2O2 concentration constant at 0.5 mM. The observed LS vertically increased with the increase in luminol initial concentration and reached its maximum at 0.1 mM (Figure 4b).
The further increase in luminol concentration caused an exponential drop in the signal, approaching 4 a.u. at luminol concentrations higher than 10 mM. As previously discussed, the multi-step mechanism leading to CL involves the consumption of two equivalents of H2O2 in two steps as shown in Scheme 1 and in Figure 5a.
Therefore, one would expect that LS would be maximized when the hydrogen peroxide to luminol ratio is 2:1. However, luminol radical formation (LH•–) is generally considered faster than the subsequent diazaquinone (L) oxidation [42]. Given that LS depends on the latter (Figure 5a), a higher amount of H2O2 is actually needed to maximize the signal, for two reasons: (i) To increase the rate for the uncatalyzed second-order reaction between H2O2 and L; (ii) to prevent total consumption of H2O2 in the first oxidation step. Our results indeed show that maximum LS is reached at 0.1 mM luminol, when 0.5 mM hydrogen peroxide was used (5:1 hydrogen peroxide:luminol ratio). Therefore, we adopted this luminol concentration for quantitative hydrogen peroxide assay development.

3.3. Hydrogen Peroxide Determination

Under the optimized conditions (0.3 μM FeMC6*a, 0.1 mM luminol, pH 8.5, 2 min), the LS response to H2O2 concentration was followed according to the developed procedure (Figure 5b). A bimodal linear trend was found (Figure 6). LS increased slowly and linearly at H2O2 concentrations lower than 120 μM, whilst LS increased more linearly and steeply at higher concentrations. Nonetheless, the observed lag-phase gave us the opportunity to extrapolate a linear interval of response in the range of 10.0–120 μM (Figure 6a).
The sensitivity (slope of the linear fit) was found to be 10.1 10−3 a.u./μM, the agreement was very good, and a detection limit (LOD) of 4.6 μM and quantitation limit (LOQ) of 15.5 μM were calculated from the y-residuals (R2 = 0.9997, n = 24). At peroxide concentrations higher than 120 μM (Figure 6b), more intense signals are observed, and a linear fit of the data was obtained (R2 = 0.991, n = 15), with the LOD far below the observed linearity range (55.8 μM) and the LOQ being 186 μM (0.12–0.50 mM; 25.0 10−3 a.u./μM).
By contrast, HRP showed a typical Michaelis–Menten dependence of the LS response toward H2O2 concentration [41,42]. Nonetheless, a nonlinear response against H2O2 concentration in the pre-saturation phase was previously reported by many authors in the case of HRP and lactoperoxidase in batch assays, when a high concentration of the catalyst was used [22,42,44]. Although a more detailed study of the kinetic mechanism of FeMC6*a is required, on the basis of the HRP mechanism proposed by Arnold and co-workers [42], it appeared reasonable to us to hypothesize that: (i) When the [H2O2]/[luminol] ratio is lower than 1, H2O2 activation (Scheme 1; step 1) and diazaquinone oxidation are both rate-limiting, affecting LS changes; (ii) when the ratio is higher than 1, diazaquinone is rapidly formed (within 2 min) and LS rapidly increases with exceeding H2O2.
Interestingly, the increased CL efficiency of FeMC6*a enables H2O2 detection in the μM range, as compared to the mM range when HRP is used as a catalyst [22]. In order to circumvent such limitation, HRP has been either coupled to an CL enhancer [23,24], or immobilized [25], increasing the signal-to-noise ratio and response linearity. Given the observed analogies between FeMC6*a and HRP, we expect that such approaches could lead to further enhancement of FeMC6*a performances in luminol oxidation.

3.4. Sample Analysis and Organic Contaminant Interference Study

The utility of the assay developed here was checked by simulating a real-case scenario of AOP. Two samples were prepared either with or without 10 ppm thioanisole as organic contaminant, in which H2O2 was added to a final concentration of 8.1 mM (1:100 thioanisole:H2O2 ratio). Both samples were then exposed to UV irradiation for two hours to induce hydroxyl radical (OH) formation and oxidation of the organic matter. Subsequently, various aliquots were taken at different times to measure the H2O2 content by the proposed FeMC6*a/luminol assay (Figure 7).
The assay was able to recover the starting concentration of hydrogen peroxide, being only slightly overestimated in the sample without thioanisole. In fact, the measured concentrations were 8.2 ± 0.2 and 8.6 ± 0.2 mM for samples with and without thioanisole, respectively (106% and 101% recovery). Virtually no difference could be observed within the experimental error between the two samples after one and two hours. Very strong consumption of hydrogen peroxide was observed in the first hour (106 ± 1 μM), while only a minimal decrease in H2O2 concentration was observed after the second hour of UV-light exposure (105 ± 1 μM).

4. Conclusions

In the present work, the artificial enzyme, FeMC6*a, was applied in the development of a synthetic peroxidase-based batch-assay for H2O2 determination. Notably, FeMC6*a proved itself as an extremely proficient catalyst in luminol oxidation, despite its miniaturized scaffold. In comparison to HRP-based CL sensors for H2O2, FeMC6*a-catalyzed oxidation of luminol and further light emission detection proceed within a short time range (~2 min) without the need of enhancers. An efficient detection of H2O2 was observed using low concentrations of enzyme (0.3 µM; 1.05 mg/L) with good linearity both in the micromolar (R2 = 0.9997, n = 24) and in the low millimolar (R2 = 0.991, n = 15) ranges. LOD and LOQ were satisfactory, being as low as 4.6 and 15.5 μM, respectively. Moreover, the synthetic origin of FeMC6*a provides batch-to-batch consistency, paving the way to method standardization and reduced batch-to-batch discrepancies.
This work has demonstrated that FeMC6*a can be adopted in luminescence-based sensors. Moreover, the results obtained from a real-case scenario not only show that the reported assay is able to satisfactorily recover the starting H2O2 concentration but also that H2O2 concentration could be actually monitored during an AOP test. We found that H2O2 was not completely consumed within two hours of UV-light irradiation, thus demonstrating the suitability of the FeMC6*a/luminol assay to assess undesired residual hydrogen peroxide content. Moreover, the presence of 10 ppm of a well-known reducing aromatic compound did not influence the assay outcome, demonstrating the usability of FeMC6*a for this kind of application in hydrogen peroxide sensing. Future efforts will be devoted to enhance the performances of FeMC6*a in luminol-based H2O2 determination either by using enhancers or immobilization onto solid supports [16,19,23,25,30,31,64], and to the construction of a standalone sensor device. Process control and quality assessment of reclaimed water may be further improved by developing efficient multi-purpose devices [4,28]. In particular, different oxidants, other than hydrogen peroxide, such as chlorite and chlorine dioxide [70], may be revealed through the methodology developed here, and their consumption rate may be eventually coupled to the presence of several aromatic and organophosphate pollutants [71,72,73].

Author Contributions

Conceptualization, M.C. and A.L.; Data curation, G.Z. and F.N.; Formal analysis, V.P. and M.C.; Funding acquisition, A.L.; Investigation, G.Z. and M.C.; Methodology, G.Z.; Supervision, A.L., V.P. and M.C.; Validation, M.C., V.P. and A.L.; Writing—original draft, M.C.; Writing—review and editing, F.N., V.P., A.L and M.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Campania Region, “Nuove strategie per la diagnostica medica e molecolare e per la tracciabilità ed il monitoraggio dei prodotti alimentari”—POR Campania FESR 2014/2020, Asse 1, [CUP B63D18000350007].

Acknowledgments

The authors wish to thank Ferdinando Febbraio and Ornella Maglio for helpful discussions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. UN-Water Climate Change. UN-Water. Available online: https://www.unwater.org/water-facts/climate-change/ (accessed on 14 January 2020).
  2. WHO|10 Facts on Climate Change and Health. Available online: https://www.who.int/features/factfiles/climate_change/en/ (accessed on 14 January 2020).
  3. OHCHR|Special Rapporteur on the Human Rights to Safe Drinking Water and Sanitation. Available online: https://www.ohchr.org/EN/Issues/WaterAndSanitation/SRWater/Pages/SRWaterIndex.aspx (accessed on 14 January 2020).
  4. Sherchan, S.; Miles, S.; Ikner, L.; Yu, H.-W.; Snyder, S.A.; Pepper, I.L. Near Real-Time Detection of Ecoli in Reclaimed Water. Sensors 2018, 18, 2303. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Hijnen, W.A.M.; Beerendonk, E.F.; Medema, G.J. Inactivation credit of UV radiation for viruses, bacteria and protozoan (oo) cysts in water: A review. Water Res. 2006, 40, 3–22. [Google Scholar] [CrossRef] [PubMed]
  6. Roszak, D.B.; Colwell, R.R. Survival strategies of bacteria in the natural environment. Microbiol. Rev. 1987, 51, 365–379. [Google Scholar] [CrossRef]
  7. Marquette, C.A.; Blum, L.J. Applications of the luminol chemiluminescent reaction in analytical chemistry. Anal. Bioanal. Chem. 2006, 385, 546–554. [Google Scholar] [CrossRef]
  8. Barni, F.; Lewis, S.W.; Berti, A.; Miskelly, G.M.; Lago, G. Forensic application of the luminol reaction as a presumptive test for latent blood detection. Talanta 2007, 72, 896–913. [Google Scholar] [CrossRef]
  9. Fernandez-Romero, J.M.; Luque de Castro, M.D. Flow-through optical biosensor based on the permanent immobilization of an enzyme and transient retention of a reaction product. Anal. Chem. 1993, 65, 3048–3052. [Google Scholar] [CrossRef]
  10. Wu, Y.; Gao, Y.; Du, J. Bifunctional gold nanoclusters enable ratiometric fluorescence nanosensing of hydrogen peroxide and glucose. Talanta 2019, 197, 599–604. [Google Scholar] [CrossRef]
  11. Zhao, T.T.; Jiang, Z.W.; Zhen, S.J.; Huang, C.Z.; Li, Y.F. A copper (II)/cobalt (II) organic gel with enhanced peroxidase-like activity for fluorometric determination of hydrogen peroxide and glucose. Microchim. Acta 2019, 186, 168. [Google Scholar] [CrossRef]
  12. Wang, J.; Lin, Y.; Chen, L. Organic-phase biosensors for monitoring phenol and hydrogen peroxide in pharmaceutical antibacterial products. Analyst 1993, 118, 277–280. [Google Scholar] [CrossRef]
  13. Mulchandani, A.; Rudolph, D.C. Amperometric determination of lipid hydroperoxides. Anal. Biochem. 1995, 225, 277–282. [Google Scholar] [CrossRef]
  14. Somasundrum, M.; Kirtikara, K.; Tanticharoen, M. Amperometric determination of hydrogen peroxide by direct and catalytic reduction at a copper electrode. Anal. Chim. Acta 1996, 319, 59–70. [Google Scholar] [CrossRef]
  15. Astuti, Y.; Topoglidis, E.; Cass, A.G.; Durrant, J.R. Direct spectroelectrochemistry of peroxidases immobilised on mesoporous metal oxide electrodes: Towards reagentless hydrogen peroxide sensing. Anal. Chim. Acta 2009, 648, 2–6. [Google Scholar] [CrossRef]
  16. Astuti, Y.; Topoglidis, E.; Durrant, J.R. Use of microperoxidase-11 to functionalize tin dioxide electrodes for the optical and electrochemical sensing of hydrogen peroxide. Anal. Chim. Acta 2011, 686, 126–132. [Google Scholar] [CrossRef]
  17. Li, Q.; Zhang, Y.; Li, P.; Xue, H.; Jia, N. A nanocomposite prepared from hemin and reduced graphene oxide foam for voltammetric sensing of hydrogen peroxide. Microchim. Acta 2019, 187, 45. [Google Scholar] [CrossRef] [PubMed]
  18. Freeman, T.M.; Seitz, W. Rudolf Chemiluminescence fiber optic probe for hydrogen peroxide based on the luminol reaction. Anal. Chem. 1978, 50, 1242–1246. [Google Scholar] [CrossRef]
  19. Olsson, B. Determination of hydrogen peroxide in a flow system with microperoxidase as catalyst for the luminol chemiluminescence reaction. Anal. Chim. Acta 1982, 136, 113–119. [Google Scholar] [CrossRef]
  20. Blum, L.J.; Plaza, J.M.; Coulet, P.R. Chemiluminescent Analyte Microdetection Based on the Luminol-H2 O 2 Reaction Using Peroxidase Immobilized on New Synthetic Membranes. Anal. Lett. 1987, 20, 317–326. [Google Scholar] [CrossRef]
  21. Hool, K.; Nieman, T.A. Immobilized luminol chemiluminescence reagent system for hydrogen peroxide determinations in flowing streams. Anal. Chem. 1988, 60, 834–837. [Google Scholar] [CrossRef]
  22. Navas Díaz, A.; Ramos Peinado, M.C.; Torijas Minguez, M.C. Sol–gel horseradish peroxidase biosensor for hydrogen peroxide detection by chemiluminescence. Anal. Chim. Acta 1998, 363, 221–227. [Google Scholar] [CrossRef]
  23. Ilyina, A.D.; Martínez Hernández, J.L.; López Luján, B.H.; Mauricio Benavides, J.E.; Romero García, J.; Rodríguez Martínez, J. Water quality monitoring using an enhanced chemiluminescent assay based on peroxidase-catalyzed peroxidation of luminol. Appl. Biochem. Biotechnol. 2000, 88, 45–58. [Google Scholar] [CrossRef]
  24. Ramos, M.C.; Torijas, M.C.; Díaz, A.N. Enhanced chemiluminescence biosensor for the determination of phenolic compounds and hydrogen peroxide. Sens. Actuators B Chem. 2001, 73, 71–75. [Google Scholar] [CrossRef]
  25. Li, B.; Zhang, Z.; Jin, Y. Chemiluminescence flow biosensor for hydrogen peroxide with immobilized reagents. Sens. Actuators B Chem. 2001, 72, 115–119. [Google Scholar] [CrossRef]
  26. Yu, D.; Wang, P.; Zhao, Y.; Fan, A. Iodophenol blue-enhanced luminol chemiluminescence and its application to hydrogen peroxide and glucose detection. Talanta 2016, 146, 655–661. [Google Scholar] [CrossRef] [PubMed]
  27. Yamashoji, S. Determination of viable mammalian cells by luminol chemiluminescence using microperoxidase. Anal. Biochem. 2009, 386, 119–120. [Google Scholar] [CrossRef] [PubMed]
  28. Chai, J.; Yu, X.; Zhao, J.; Sun, A.; Shi, X.; Li, D. An Electrochemiluminescence Sensor Based on Nafion/Magnetic Fe3O4 Nanocrystals Modified Electrode for the Determination of Bisphenol A in Environmental Water Samples. Sensors 2018, 18, 2537. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Niazov, A.; Freeman, R.; Girsh, J.; Willner, I. Following Glucose Oxidase Activity by Chemiluminescence and Chemiluminescence Resonance Energy Transfer (CRET) Processes Involving Enzyme-DNAzyme Conjugates. Sensors 2011, 11, 10388–10397. [Google Scholar] [CrossRef] [Green Version]
  30. Lyu, Z.-M.; Zhou, X.-L.; Wang, X.-N.; Li, P.; Xu, L.; Liu, E.-H. Miniaturized electrochemiluminescent biochip prepared on gold nanoparticles-loaded mesoporous silica film for visual detection of hydrogen peroxide released from living cells. Sens. Actuators B Chem. 2019, 284, 437–443. [Google Scholar] [CrossRef]
  31. Tian, H.; Tan, B.; Dang, X.; Zhao, H. Enhanced Electrochemiluminescence Detection for Hydrogen Peroxide Using Peroxidase-Mimetic Fe/N-Doped Porous Carbon. J. Electrochem. Soc. 2019, 166, B1594–B1601. [Google Scholar] [CrossRef]
  32. Yu, J.; Cao, M.; Wang, H.; Li, Y. Novel manganese (II)-based metal-organic gels: Synthesis, characterization and application to chemiluminescent sensing of hydrogen peroxide and glucose. Microchim. Acta 2019, 186, 696. [Google Scholar] [CrossRef]
  33. Wang, Z.; Dong, B.; Feng, G.; Shan, H.; Huan, Y.; Fei, Q. Water-soluble Hemin-mPEG-enhanced Luminol Chemiluminescence for Sensitive Detection of Hydrogen Peroxide and Glucose. Anal. Sci. 2019, 35, 1135–1140. [Google Scholar] [CrossRef] [Green Version]
  34. Marks, R.S.; Bassis, E.; Bychenko, A.; Levine, M.M. Chemiluminescent optical fiber immunosensor for detecting cholera antitoxin. OptEn 1997, 36, 3258–3264. [Google Scholar] [CrossRef]
  35. Huang, K.; Sun, Y.; Liu, L.; Hu, C. Chemiluminescence of 3-aminophthalic acid anion–hydrogen peroxide–cobalt (II). Luminescence 2020, 35, 400–405. [Google Scholar] [CrossRef] [PubMed]
  36. Yamazaki, T.; Kawai, C.; Yamauchi, A.; Kuribayashi, F. A highly sensitive chemiluminescence assay for superoxide detection and chronic granulomatous disease diagnosis. Trop. Med. Health 2011, 39, 41–45. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Kamidate, T.; Katayama, A.; Ichihashi, H.; Watanabe, H. Characterization of peroxidases in luminol chemiluminescence coupled with copper-catalysed oxidation of cysteamine. J. Biolumin. Chemilumin. 1994, 9, 279–286. [Google Scholar] [CrossRef]
  38. Yeh, H.-C.; Lin, W.-Y. Enhanced chemiluminescence for the oxidation of luminol with m-chloroperoxybenzoic acid catalyzed by microperoxidase 8. Anal. Bioanal. Chem. 2002, 372, 525–531. [Google Scholar] [CrossRef]
  39. Gorsuch, J.D.; Hercules, D.M. Studies on the chemiluminescence of luminol in dimethylsulfoxide and dimethylsulfoxide-water mixtures. Photochem. Photobiol. 1972, 15, 567–583. [Google Scholar] [CrossRef]
  40. Lee, J.; Seliger, H.H. Quantum Yields of the Luminol Chemiluminescence Reaction in Aqueous and Aprotic Solvents. Photochem. Photobiol. 1972, 15, 227–237. [Google Scholar] [CrossRef]
  41. Cormier, M.J.; Prichard, P.M. An Investigation of the Mechanism of the Luminescent Peroxidation of Luminol by Stopped Flow Techniques. J. Biol. Chem. 1968, 243, 4706–4714. [Google Scholar]
  42. Li, L.; Arnold, M.A.; Dordick, J.S. Mathematical model for the luminol chemiluminescence reaction catalyzed by peroxidase. Biotechnol. Bioeng. 1993, 41, 1112–1120. [Google Scholar] [CrossRef]
  43. Cercek, B.; Cercek, B.; Roby, K.; Cercek, L. Effect of oxygen abstraction on the peroxidase–luminol–perborate system: Relevance to the HRP enhanced chemiluminescence mechanism. J. Biolumin. Chemilumin. 1994, 9, 273–277. [Google Scholar] [CrossRef]
  44. Nakamura, M.; Nakamura, S. One- and Two-Electron Oxidations of Luminol by Peroxidase Systems. Free Radic. Biol. Med. 1998, 24, 537–544. [Google Scholar] [CrossRef]
  45. Navas Díaz, A.; González García, J.A. Nonlinear Multicomponent Kinetic Analysis for the Simultaneous Stopped-Flow Determination of Chemiluminescence Enhancers. Anal. Chem. 1994, 66, 988–993. [Google Scholar] [CrossRef]
  46. García Sanchez, F.; Navas Díaz, A.; González García, J.A. P-phenol derivatives as enhancers of the chemiluminescent luminol-horseradish peroxidase-H2O2 reaction: Substituent effects. J. Lumin. 1995, 65, 33–39. [Google Scholar] [CrossRef]
  47. Li, F.; Ma, W.; Liu, J.; Wu, X.; Wang, Y.; He, J. Luminol, horseradish peroxidase, and glucose oxidase ternary functionalized graphene oxide for ultrasensitive glucose sensing. Anal. Bioanal. Chem. 2018, 410, 543–552. [Google Scholar] [CrossRef] [PubMed]
  48. Jeschek, M.; Reuter, R.; Heinisch, T.; Trindler, C.; Klehr, J.; Panke, S.; Ward, T.R. Directed evolution of artificial metalloenzymes for in vivo metathesis. Nature 2016, 537, 661–665. [Google Scholar] [CrossRef]
  49. 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]
  50. Yin, L.; Yuan, H.; Liu, C.; He, B.; Gao, S.-Q.; Wen, G.-B.; Tan, X.; Lin, Y.-W. A Rationally Designed Myoglobin Exhibits a Catalytic Dehalogenation Efficiency More than 1000-Fold That of a Native Dehaloperoxidase. ACS Catal. 2018, 9619–9624. [Google Scholar] [CrossRef]
  51. Hayashi, T.; Tinzl, M.; Mori, T.; Krengel, U.; Proppe, J.; Soetbeer, J.; Klose, D.; Jeschke, G.; Reiher, M.; Hilvert, D. Capture and characterization of a reactive haem–carbenoid complex in an artificial metalloenzyme. Nat. Catal. 2018, 1, 578–584. [Google Scholar] [CrossRef]
  52. Stenner, R.; Steventon, J.W.; Seddon, A.; Anderson, J.L.R. A de novo peroxidase is also a promiscuous yet stereoselective carbene transferase. Proc. Natl. Acad. Sci. USA 2020, 117, 1419–1428. [Google Scholar] [CrossRef] [Green Version]
  53. Chino, M.; Maglio, O.; Nastri, F.; Pavone, V.; DeGrado, W.F.; Lombardi, A. Artificial Diiron Enzymes with a De Novo Designed Four-Helix Bundle Structure. Eur. J. Inorg. Chem. 2015, 2015, 3371–3390. [Google Scholar] [CrossRef] [Green Version]
  54. Lombardi, A.; Pirro, F.; Maglio, O.; Chino, M.; DeGrado, W.F. De Novo Design of Four-Helix Bundle Metalloproteins: One Scaffold, Diverse Reactivities. Acc. Chem. Res. 2019. [Google Scholar] [CrossRef] [PubMed]
  55. 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] [PubMed]
  56. Perrella, F.; Raucci, U.; Chiariello, M.G.; Chino, M.; Maglio, O.; Lombardi, A.; Rega, N. Unveiling the structure of a novel artificial heme-enzyme with peroxidase-like activity: A theoretical investigation. Biopolymers 2018, 109, e23225. [Google Scholar] [CrossRef] [PubMed]
  57. Nastri, F.; D’Alonzo, D.; Leone, L.; Zambrano, G.; Pavone, V.; Lombardi, A. Engineering Metalloprotein Functions in Designed and Native Scaffolds. Trends Biochem. Sci. 2019. [Google Scholar] [CrossRef]
  58. Chino, M.; Leone, L.; Maglio, O.; D’Alonzo, D.; Pirro, F.; Pavone, V.; Nastri, F.; Lombardi, A. A De Novo Heterodimeric Due Ferri Protein Minimizes the Release of Reactive Intermediates in Dioxygen-Dependent Oxidation. Angew. Chem. Int. Ed. 2017, 56, 15580–15583. [Google Scholar] [CrossRef]
  59. Chino, M.; Leone, L.; Maglio, O.; Lombardi, A. Designing Covalently Linked Heterodimeric Four-Helix Bundles. Methods Enzymol. 2016, 580, 471–499. [Google Scholar] [CrossRef]
  60. Zhang, S.-Q.; Chino, M.; Liu, L.; Tang, Y.; Hu, X.; DeGrado, W.F.; Lombardi, A. De Novo Design of Tetranuclear Transition Metal Clusters Stabilized by Hydrogen-Bonded Networks in Helical Bundles. J. Am. Chem. Soc. 2018, 140, 1294–1304. [Google Scholar] [CrossRef] [Green Version]
  61. Chino, M.; Zhang, S.-Q.; Pirro, F.; Leone, L.; Maglio, O.; Lombardi, A.; DeGrado, W.F. Spectroscopic and metal binding properties of a de novo metalloprotein binding a tetrazinc cluster. Biopolymers 2018, 109, e23339. [Google Scholar] [CrossRef]
  62. Nastri, F.; Lista, L.; Ringhieri, P.; Vitale, R.; Faiella, M.; Andreozzi, C.; Travascio, P.; Maglio, O.; Lombardi, A.; Pavone, V. A Heme-Peptide Metalloenzyme Mimetic with Natural Peroxidase-Like Activity. Chem. Eur. J. 2011, 17, 4444–4453. [Google Scholar] [CrossRef]
  63. Vitale, R.; Lista, L.; Cerrone, C.; Caserta, G.; Chino, M.; Maglio, O.; Nastri, F.; Pavone, V.; Lombardi, A. Artificial heme-enzyme with enhanced catalytic activity: Evolution, functional screening and structural characterization. Org. Biomol. Chem. 2015, 13, 4858–4868. [Google Scholar] [CrossRef]
  64. Zambrano, G.; Ruggiero, E.; Malafronte, A.; Chino, M.; Maglio, O.; Pavone, V.; Nastri, F.; Lombardi, A. Artificial Heme Enzymes for the Construction of Gold-Based Biomaterials. Int. J. Mol. Sci. 2018, 19, 2896. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. 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] [PubMed]
  66. 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. [Google Scholar] [CrossRef] [PubMed]
  67. 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]
  68. 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] [PubMed]
  69. Zambrano, G.; Chino, M.; Renzi, E.; Di Girolamo, R.; Maglio, O.; Pavone, V.; Lombardi, A.; Nastri, F. Clickable artificial heme-peroxidases for the development of functional nanomaterials. Biotechnol. Appl. Biochem. 2020. [Google Scholar] [CrossRef]
  70. Pepich, B.V.; Dattilio, T.A.; Fair, P.S.; Munch, D.J.; Gordon, G.; Körtvélyesi, Z. An improved colorimetric method for chlorine dioxide and chlorite ion in drinking water using lissamine green B and horseradish peroxidase. Anal. Chim. Acta 2007, 596, 37–45. [Google Scholar] [CrossRef] [Green Version]
  71. Lin, Y.-W. Rational design of heme enzymes for biodegradation of pollutants toward a green future. Biotechnol. Appl. Biochem. 2019. [Google Scholar] [CrossRef]
  72. Carullo, P.; Chino, M.; Cetrangolo, G.P.; Terreri, S.; Lombardi, A.; Manco, G.; Cimmino, A.; Febbraio, F. Direct detection of organophosphate compounds in water by a fluorescence-based biosensing device. Sens. Actuators B Chem. 2018, 255, 3257–3266. [Google Scholar] [CrossRef]
  73. Cetrangolo, G.P.; Rusko, J.; Gori, C.; Carullo, P.; Manco, G.; Chino, M.; Febbraio, F. Highly Sensitive Detection of Chemically Modified Thio-Organophosphates by an Enzymatic Biosensing Device: An Automated Robotic Approach. Sensors 2020, 20, 1365. [Google Scholar] [CrossRef] [Green Version]
Scheme 1. Mechanism of horseradish peroxidase-catalyzed luminol oxidation by hydrogen peroxide, and subsequent luminescence.
Scheme 1. Mechanism of horseradish peroxidase-catalyzed luminol oxidation by hydrogen peroxide, and subsequent luminescence.
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Figure 1. (a) FeMC6*a designed model. Key functional residues and the deuteroporphyrin IX are highlighted as sticks. Iron is represented as an orange sphere. Aib residues face the porphyrin ring at the distal site. The designed inter-chain ion pair interaction is depicted, together with the hydrogen bond network presumably involved in hydrogen peroxide activation. (b) FeMC6*a peptide sequences. Proximal His and distal axial residues are indicated in bold. The Glu and Arg residues involved in the inter-chain ion pair interaction are depicted in red and blue, respectively.
Figure 1. (a) FeMC6*a designed model. Key functional residues and the deuteroporphyrin IX are highlighted as sticks. Iron is represented as an orange sphere. Aib residues face the porphyrin ring at the distal site. The designed inter-chain ion pair interaction is depicted, together with the hydrogen bond network presumably involved in hydrogen peroxide activation. (b) FeMC6*a peptide sequences. Proximal His and distal axial residues are indicated in bold. The Glu and Arg residues involved in the inter-chain ion pair interaction are depicted in red and blue, respectively.
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Figure 2. Chemiluminescence kinetic trace of luminol/H2O2 (0.5 mM/3 mM) system when 2 nM FeMC6*a (black trace) or HRP (red trace) is used as a catalyst (100 mM Tris buffer pH 8.5).
Figure 2. Chemiluminescence kinetic trace of luminol/H2O2 (0.5 mM/3 mM) system when 2 nM FeMC6*a (black trace) or HRP (red trace) is used as a catalyst (100 mM Tris buffer pH 8.5).
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Figure 3. (a) Luminescence signal (LS) kinetic traces as registered at different FeMC6*a concentrations (0.07 μM, black; 0.1 μM, red; 0.3 μM blue). Insert shows the enlargement of the LS traces. Each point is the mean of three measurements, with error bars representing the standard deviations. (b) FeMC6*a concentration dependence of chemiluminescence as measured at 2 min after H2O2 addition in the plate reader (0.5 mM H2O2, 10 mM luminol, 100 mM Tris buffer pH 8.5). Dashed line corresponds to the best biexponential fit of the experimental data.
Figure 3. (a) Luminescence signal (LS) kinetic traces as registered at different FeMC6*a concentrations (0.07 μM, black; 0.1 μM, red; 0.3 μM blue). Insert shows the enlargement of the LS traces. Each point is the mean of three measurements, with error bars representing the standard deviations. (b) FeMC6*a concentration dependence of chemiluminescence as measured at 2 min after H2O2 addition in the plate reader (0.5 mM H2O2, 10 mM luminol, 100 mM Tris buffer pH 8.5). Dashed line corresponds to the best biexponential fit of the experimental data.
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Figure 4. (a) Effect of the pH on LS, as measured at 2 min after hydrogen peroxide addition. (0.3 μM FeMC6*a, 0.5 mM H2O2, 10 mM luminol, 100 mM Tris buffer). Dashed line corresponds to the best Gaussian fit of the experimental data. (b) Effect of luminol concentration on LS (0.3 μM FeMC6*a, 0.5 mM H2O2, 100 mM Tris buffer pH 8.5). Dashed line corresponds to the best biexponential fit of the experimental data.
Figure 4. (a) Effect of the pH on LS, as measured at 2 min after hydrogen peroxide addition. (0.3 μM FeMC6*a, 0.5 mM H2O2, 10 mM luminol, 100 mM Tris buffer). Dashed line corresponds to the best Gaussian fit of the experimental data. (b) Effect of luminol concentration on LS (0.3 μM FeMC6*a, 0.5 mM H2O2, 100 mM Tris buffer pH 8.5). Dashed line corresponds to the best biexponential fit of the experimental data.
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Figure 5. (a) Proposed reaction scheme of luminol oxidation catalyzed by FeMC6*a. (b) Step-by-step hydrogen peroxide assay developed in this work.
Figure 5. (a) Proposed reaction scheme of luminol oxidation catalyzed by FeMC6*a. (b) Step-by-step hydrogen peroxide assay developed in this work.
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Figure 6. (a) LS response to H2O2 concentration, as measured at 2 min after hydrogen peroxide addition in the 10.0–120 μM range. (0.3 μM FeMC6*a, 0.1 mM luminol, 100 mM Tris buffer pH 8.5) (b) LS observed at different H2O2 concentrations in the 120–500 μM range. Short- and long-dashed lines correspond to the best linear fits of the two datasets, respectively.
Figure 6. (a) LS response to H2O2 concentration, as measured at 2 min after hydrogen peroxide addition in the 10.0–120 μM range. (0.3 μM FeMC6*a, 0.1 mM luminol, 100 mM Tris buffer pH 8.5) (b) LS observed at different H2O2 concentrations in the 120–500 μM range. Short- and long-dashed lines correspond to the best linear fits of the two datasets, respectively.
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Figure 7. Advanced oxidation processes (AOPs) as followed by the FeMC6*a/luminol assay. Blue (without thioanisole) and magenta (81 μM thioanisole) columns report the evaluated H2O2 concentration before and after 1 and 2 h of UV-light irradiation. Thin bars report the statistical error for data regression.
Figure 7. Advanced oxidation processes (AOPs) as followed by the FeMC6*a/luminol assay. Blue (without thioanisole) and magenta (81 μM thioanisole) columns report the evaluated H2O2 concentration before and after 1 and 2 h of UV-light irradiation. Thin bars report the statistical error for data regression.
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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. https://doi.org/10.3390/s20133793

AMA Style

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(13):3793. https://doi.org/10.3390/s20133793

Chicago/Turabian Style

Zambrano, Gerardo, Flavia Nastri, Vincenzo Pavone, Angela Lombardi, and Marco Chino. 2020. "Use of an Artificial Miniaturized Enzyme in Hydrogen Peroxide Detection by Chemiluminescence" Sensors 20, no. 13: 3793. https://doi.org/10.3390/s20133793

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