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Article

Electrocatalytical Nitrite Oxidation via Manganese and Copper Oxides on Carbon Screen-Printed Electrode

by
Roberta Farina
1,2,*,
Silvia Scalese
1,
Alessandra Alberti
1,
Stefania Maria Serena Privitera
1,
Giuseppe Emanuele Capuano
1,
Domenico Corso
1,3,
Giuseppe Andrea Screpis
1,4,5,
Serena Concetta Rita Reina
6,
Guglielmo Guido Condorelli
2,
Maria Anna Coniglio
1,6 and
Sebania Libertino
1,*
1
Consiglio Nazionale delle Ricerche—Istituto per la Microelettronica e Microsistemi (CNR-IMM), Strada VIII Z.I., 5, 95121 Catania, Italy
2
Dipartimento di Scienze Chimiche, Università Degli Studi di Catania, Viale A. Doria 6, 95125 Catania, Italy
3
Department of Electrical, Computer and Biomedical Engineering, Università Degli Studi di Pavia, Via Ferrata 5, 27100 Pavia, Italy
4
Dipartimento di Scienze Chimiche, Biologiche, Farmaceutiche e Analitiche (ChiBioFarAm), Università Degli Studi di Messina, Viale F. Stagno d’Alcontres 31, Vill. S. Agata, 98166 Messina, Italy
5
Consiglio Nazionale delle Ricerche—Istituto per lo Studio dei Materiali Nanostrutturati, CNR-ISMN, Viale F. Stagno d’Alcontres 31, Vill. S. Agata, 98166 Messina, Italy
6
Dipartimento di Scienze Mediche, Chirurgiche e Tecnologie Avanzate “G.F. Ingrassia”, Università Degli Studi di Catania, Via S. Sofia 87, 95123 Catania, Italy
*
Authors to whom correspondence should be addressed.
Sensors 2025, 25(12), 3764; https://doi.org/10.3390/s25123764
Submission received: 12 May 2025 / Revised: 12 June 2025 / Accepted: 14 June 2025 / Published: 16 June 2025
(This article belongs to the Section Chemical Sensors)

Abstract

Nitrite (NO2) has long been recognized as a contaminant of concern due to its detrimental effects on both human health and the environment. As a result, there is a continuing need to develop sensitive, real-time, low-cost, and portable systems for the accurate detection of trace levels of NO2 in drinking water. We present a novel, low-cost, and easy-to-fabricate amperometric sensor designed for detecting low concentrations of NO2 in drinking water. The fabrication technique involves the electrodeposition of manganese and copper oxides onto a carbon working electrode. CuO and MnO2 act synergistically as efficient catalysts for the electrooxidation of nitrite to nitrate (NO3) thanks to their complementary redox properties. The resulting sensor exhibits high catalytic activity toward the electrooxidation of NO2, with a sensitivity of 10.83 μA/µM, a limit of detection (LOD) of 0.071 µM, and a good linear dynamic concentration range (0.2–60 µM). The sensor’s performance was evaluated against potential interfering analytes (NO3, Cl, NH4+, and NH2Cl), all of which showed negligible interference. Reproducibility (maximum standard deviation 2.91%) and repeatability (usable up to three times) were also evaluated.

1. Introduction

The nitrite ion (NO2) is a critical indicator of water quality due to its significant environmental and health implications [1,2]. It is widely used in food additives, such as those in cured meat products, chemical bleaches, soil fertilizers, and dying agents, as well as corrosion inhibitors. Additionally, it has some pharmaceutical uses, including cyanide poisoning antidotes and blood anticoagulation drugs [3]. Elevated nitrite concentrations in water can lead to eutrophication, toxicity, and the formation of carcinogenic N-nitroso compounds [4,5,6]. Furthermore, nitrite is associated with methemoglobinemia in infants, commonly referred to as “blue baby syndrome”, making its detection essential for public health monitoring [7,8]. Guidelines for nitrite intakes in drinking water were recommended by the World Health Organization (WHO), which has established an obligatory guideline referred to as the maximum contaminant level (MCL) for nitrite to be 43.48 µM, and 65.2 µM for drinking and raw water, respectively [9]. For this reason, efficient methods for detecting and removing nitrites from water are essential [10,11]. Electrochemical sensors have emerged as a promising solution for nitrite detection due to their simplicity, cost-effectiveness, and ability to operate in complex matrices [12]. Among these, screen-printed electrodes (SPEs) stand out for their portability, scalability, and ease of surface modification [13,14,15]. A screen-printed electrochemical cell is composed of three electrodes: the working electrode (WE), which may be functionalized with materials selective towards the analyte; the reference electrode (RE) to ensure the precise application of the WE potential; and the counter electrode (CE) to complete the circuit [16,17,18]. This system undergoes an electrochemical reaction that results in changes in current, potential, charge, or impedance, which are measured using different electrochemical techniques [19]. Several studies have demonstrated the potential of modified SPEs for nitrite detection, utilizing different electrode surface modifications [20,21,22,23]. Adiraju et al. developed an electrochemical sensor based on carbon SPE modified with gold nanoparticles for nitrite detection in groundwater, achieving a limit of detection (LOD) of 0.38 μM [24]. The principle of operation is the electrochemical oxidation of NO2 at pH 6.5 in PBS buffer during the square wave voltametric (SWV) scan. Rajab et al. developed an electrochemical sensor based on SPE modified with zirconia nanoparticles and multi-walled carbon nanotubes (ZrO2@MWCNTs/SPE) for selective detection of nitrite in food and water samples. The SPE modification with composite ZrO2@MWCNTs resulted in enhanced peak current of nitrite compared to the bare electrode signal by enhancing the electron transfer rate. This is attributed to the combination of the tubular shape of MWCNTs and the crystallinity of the ZrO2, providing abundant electron transport pathways and active sites, which improves the nitrite absorption during the oxidation reaction. The main electrochemical reaction involved in the detection process is the oxidation of nitrite to nitrate. The device showed a LOD of 0.94 μM, with high sensitivity and selectivity [3].
This work presents an electrochemical sensor developed for monitoring nitrite ions in drinking water. Copper and manganese oxides were electrodeposited by cyclic voltammetry (CV) in a Carbon SPE [25,26,27]. CV is a powerful electrochemical technique used to study chemical reactions initiated by electron transfer, which includes catalysis [28,29,30]. The carbon electrode, chosen for its electrochemical stability and conductivity, provides an ideal substrate for the deposition of copper and manganese, further improving the process efficiency [31,32]. The choice of combining CuO and MnO2 for nitrite detection is motivated by their complementarity. While CuO has proven to be effective for nitrite in literature works [33,34,35] and in nitrate (NO3) reduction in our previous work [22,31], MnO2 is widely recognized for its high activity towards nitrite oxidation. CuO and MnO2 work together synergistically as efficient catalysts for the electrooxidation of nitrite to nitrate, thanks to their complementary redox properties [36]. This study presents experimental results of the fabrication of an electrode sensitive to nitrite oxidation in water. Morphological and structural characterization was performed, and the electrocatalytic performance of the sensor in nitrite oxidation was described, analyzing the efficiency, selectivity, and stability of the process.

2. Materials and Methods

2.1. Chemicals and Equipment

Manganese Chloride (MnCl2), Copper sulphate pentahydrate (CuSO4·5H2O), sodium nitrite (NaNO2), Phosphate Buffered Saline (PBS), and potassium chloride (KCl) were purchased from Merck KGaA (Headquarters in Darmstadt, Germany) and used without further purification. Milli-Q water (resistivity of at least 18.2 MΩ cm) obtained by Simplicity UV (Millipore, by Merck, Headquarters in Darmstadt, Germany) was used in all solutions. SPCE (screen-printed carbon electrodes, cod. Ref. C110) were bought from Metrohm DropSens s.r.l. (Origgio, VA, Italy). They are a single-channel three-electrode system: the working electrode is manufactured with mesoporous carbon ink, the counter electrode with carbon ink, and the reference electrode with Ag/AgCl ink. CuO and MnO2 electrodeposition and all electrochemical measurements were performed by Palmsens4 electrochemical workstation by PalmSens BV (C-PS4-BP.F2.10, GA Houten, The Netherlands). Raman analyses were performed using a Horiba Labram HR Evolution spectrometer, adopting a 532 nm laser and a grating at 1800 cm−1, to achieve high resolution. Scanning electron microscopy (SEM) images were obtained using a ZEISS FE-SEM SUPRA 35 (Carl Zeiss AG, Jena, Germany). X-ray Photoelectron Spectroscopy (XPS) analysis was carried out using a PHI Genesis Multi-Technique Scanning XPS system, with a monochromatic Al Kα (1486.6 eV) X-ray beam and a 180° hemispherical electron energy analyzer. X-ray diffraction patterns were collected using SmartLab equipment made by Rigaku (Tokyo, Japan).

2.2. Working Electrode Functionalization

The Mn particles were deposited electrochemically on the mesoporous carbon WE surface (4-mm diameter) by cyclic voltammetry (CV). The potential ranged from 0.0 V to 1.2 V at a scan rate of 0.05 V s−1. Five scans were performed using 0.1 M MnCl2 in 1 M KCl supporting electrolyte. The electrodeposition of MnO2 occurred via an anodic process, where Mn2+ ions were oxidized to Mn4+ under the application of anodic potentials. The overall reaction is: Mn2+ + 2H2O → MnO2 + 4H+ + 2e.
Mn2+ ions adsorb onto the carbon surface. At moderate potentials, Mn2+ is oxidized to the intermediate Mn3+and subsequently is further oxidized to Mn4+, thus precipitating as hydrated MnO2. This process explains why the XPS analyses found traces of Mn2O3 oxides.
Subsequently, Cu particles were electrodeposited via CV in the potential range from −1.0 V to 0.0 V at a scan rate of 0.05 V s−1 by scanning 5 times using 0.1 M CuSO4∙5H2O in 1 M KCl supporting electrolyte [21]. The presence of MnO2 on the electrode surface promotes the formation of CuO rather than metallic Cu because, under anodic polarization, MnO2 remains stable and may even participate in redox mediation.

2.3. Electrode Performance Analysis

The performance of the developed electrode was evaluated using Linear Sweep Voltammetry (LSV). The potential was scanned from 0.5 V to 1.1 V at a scan rate of 0.05 V s1. LSV measurements were conducted at various concentrations of NO2 (0.2–60 µM) in a 0.01 M PBS electrolyte solution (pH 7).

3. Results

3.1. Structural Characterization

Scanning electron micrographs were acquired to study the Carbon surface, the electrodeposited manganese and copper morphologies (Figure 1). The bare carbon electrode (Figure 1a) exhibits a relatively uniform surface with characteristic microporous structure and shallow fissures typical of screen-printed carbon matrices. In contrast, the Cu-Mn/C modified electrode (Figure 1b) shows a different morphology characterized by a dense distribution of rod-like and needle-shaped nanocrystallites (100–500 nm in length) heterogeneously dispersed across the carbon substrate. The Energy-Dispersive X-ray spectroscopy (EDX) analysis spectrum (Figure S1) confirms the successful co-deposition of manganese and copper species, with quantitative analysis revealing a predominance of copper (45.20 wt%) relative to manganese (4.29 wt%). The significant oxygen content (29.39 wt%) corroborates the formation of metal oxides rather than elemental metals, while residual chlorine (9.19 wt%) likely originates from the KCl supporting electrolyte employed during the electrodeposition process.
Surface modification of carbon electrode with manganese and copper was characterized using Raman and X-ray photoelectron spectroscopy (XPS). Raman analysis (Figure S2) reveals distinct peaks in the 0–800 cm−1 region, with a sharp band at 150 cm−1 attributed to Mn-O-Mn bridging vibrations in MnO2 [37,38]. The peaks at 200–250 cm−1 correspond to overlapping modes of Mn3O4/Mn2O3 and CuO, while the wide feature between 500–700 cm−1 is due to Mn-O stretching in MnO2 (570–650 cm−1) and CuO (615 cm−1) [39,40,41]. XPS analysis confirms the results obtained by Raman analysis. The Cu 2p region shows a Cu 2p3/2 peak at 933 eV with a characteristic satellite at 940–945 eV, confirming the presence of Cu(II) in CuO (Figure 2a) [42,43]. The Mn 2p spectrum shows a Mn 2p3/2 peak at 641 eV, consistent with Mn(IV) in MnO2(Figure 2b) [44,45,46]. The survey scan (Figure S3) confirms the presence of C 1s (284 eV), O 1s (530 eV).
The electrode surface comprises a heterogeneous layer of MnO2 and CuO, with potential minor contributions from Mn2O3 and Cu(OH)2. Due to the mixed redox-active sites, this bifunctional oxide coating, validated by vibrational and electronic structure analyses, is ideal for electrocatalytic applications [47].
XPS analysis reveals a significant decrease in Cu and Mn signal intensities after nitrite detection, compared to the pristine Cu-Mn/C electrode. Initially, Cu 2p and Mn 2p spectra confirm the presence of CuO and MnO2, respectively. Following the sensing reaction, the marked reduction in these peaks indicates a loss or transformation of the metal oxides. This suggests that CuO and MnO2 actively participate in the electrochemical detection of nitrite through redox processes, leading to their partial reduction, dissolution, or structural modification. Such changes highlight the involvement of these oxides as active catalytic sites, consistent with the typical behavior of transition metal oxide-based sensors (Figure S4).
The presence of CuO and MnO2 on the carbon electrode, confirmed by XPS and Raman spectroscopy, was not detected by X-ray diffraction analysis (XRD). This suggests that these metal oxides are primarily present in poorly crystalline or amorphous phases, which lack long-range order and/or are highly dispersed on the carbon substrate, preventing the formation of sufficiently large crystalline domains. Therefore, the heterogeneous nature of the deposit, characterized by aggregates of different sizes and morphologies, suggests the formation of multiple oxide phases.

3.2. Electrochemical Characterization

Electrochemical characterization of the bare carbon electrode (SPCE) and Cu-Mn/C modified electrodes was performed in a 0.01 M PBS electrolyte solution, in the absence and presence of nitrite concentration (30 µM NO2) (Figure 3a,b). SPCE (black trace) exhibits featureless behavior in the investigated potential windows, confirming the electrochemical inertness of the electrode both in the absence and presence of nitrite ions. The modified Cu-Mn/C electrode (red trace) exhibits a cathodic peak c1 at −0.3 V, which likely corresponds to the reduction of copper oxides (CuO to Cu0), and an anodic peak a1 at +0.2 V corresponding to the oxidation of Cu0 back to CuO [48,49]. The peak separation (ΔEp) between reduction and oxidation is significant (0.4 V), indicating that the redox process is irreversible. The anodic peak a2 at +0.0 V is due to the reduction of manganese oxides (MnO2 to Mn2+), and the cathodic peak c2 at −0.7 V is the reverse process [48,49,50].
In the presence of nitrite (blue trace in Figure 3b), the anodic peak present at approximately a3 +0.8 V is attributable to the oxidation of nitrite to nitrate [27,28,51]. The cathodic peak c3 at −0.4 V may be related to the reduction of nitrate to nitrite or other products. Furthermore, the voltammogram of the modified electrode shows a significant enhancement and overlapping of the CuO and MnO2 reduction peaks (a4), which are also shifted towards a more negative potential. This behavior indicates that the metal oxides act as electrocatalysts for NO2 oxidation. The electrocatalytic mechanism involves CuO and manganese MnO2 species on the electrode surface, which work synergistically to reduce the activation energy required for nitrite oxidation to nitrate.
To evaluate the nature of the NO2 electrochemical reaction at the Cu-Mn/C electrode, the effect of the scan rate (50 to 350 mV/s) on the oxidation peak current was investigated. The anodic peak current (ip) increased linearly with the square root of the scan rate (ν12), as shown in Figure 4b. This behavior is characteristic of a diffusion-controlled electrochemical process, in agreement with the Randles–Ševčík equation for irreversible systems: [52]
i p = 2.99 × 10 5 n [ α n a 1 2 ] A D 0 1 2 C ν 1 2
where ip is the peak current, α is the transfer coefficient and na is the number of electrons involved in the rate-determining step (2 for NO2), A is the active surface area (cm2), D0 is the diffusion coefficient (1.9 × 10−5 cm2 s−1 for NO2 at 25 °C), v is the scan rate (V s−1), and C is the NO2 concentration (mol cm–3) [3].
The observed significant peak separation (Figure 3b) and the shift in peak potentials with increasing scan rate further confirm the irreversible nature of the NO2 oxidation process at the Cu-Mn/C electrode. The Randles–Ševčík equation for irreversible systems was used to interpret the data, as the process displays significant peak separation and asymmetry, the redox process is electrochemically irreversible [53].

3.3. Sensor Performance for Nitrite Ion Detection

Preliminary studies were conducted to evaluate the performance of the electrode modified exclusively with MnO2 for the detection of nitrite ions in water (Figure S5). The results revealed a non-linear response in the detection performance for the nitrite ion. This observation further motivated the incorporation of Cu onto the Mn/C-based electrode to enhance the sensor performance. To evaluate the analytical performance of the final Cu-Mn/C developed sensor, Linear Sweep Voltammetry (LSV) was employed at different concentrations of NO2 in 0.01 M PBS electrolyte solution (pH = 7), (Figure S6). The calibration curve was obtained by averaging the NO2 reduction peak current of three samples at each of the concentration measured (i.e., 0.2, 0.5, 1, 2, 5, 10, 20, 30, 40, 50, and 60 µM) with the standard deviation (SD) (Figure 5). The data showed a linear detection range from 0.2 to 60 µM with a sensitivity of 10.83 μA/µM and a coefficient of determination (R2) of 99.87%, indicating an excellent linear fit (Figure S7). Based on a signal-to-noise ratio of three, the LoD was estimated to be 0.071 µM (71 nM). The comparison with Figure S5 (electrode modified with only MnO2) clearly explains the need to use two metals to obtain a performing sensor.
The choice of PBS (pH 7) as the supporting electrolyte was made to provide a stable and well-controlled environment, advantageous for consistent and reproducible electrochemical measurements. Although PBS is commonly used in biological and physiological studies, its neutral pH and buffering capacity make it a suitable medium to simulate natural water conditions in environmental monitoring, where pH values often approach neutrality. On the other hand, this study paves the way for the use of the nitrite sensor for applications in physiological samples or sanitized waters.
The nitrite detection performance observed with our sensor appears promising in comparison with recent work based on the manufacturing of SPE-based electrochemical sensors for nitrite detection (Table 1) [3,24,26,54].
The developed electrode, based on SPE modified with CuO and MnO2, exhibits a lower limit of detection of 71 nM, which is more sensitive than most previously reported sensors. Although a comparable LoD of 74 nM was achieved using a Cu-BDC/Fe2O3-modified SPCE [26], the sensor developed in this work provides a wide linear detection range of 0.2–60 µM, which is particularly suitable for monitoring nitrite levels in drinking water, where regulatory limits are typically in the low micromolar range. In contrast, other reported sensors exhibit higher LoDs (0.38–1.98 µM) and lower limits of linear ranges (5–10 µM) [3,24,55] limiting their applicability for trace analysis. Additionally, the use of non-toxic and cost-effective CuO and MnO2 nanomaterials in electrode modification enhances the environmental friendliness and practical feasibility of the proposed sensor. These findings confirm that the developed sensor provides a highly sensitive, selective, and practical approach for the reliable determination of nitrite in drinking water samples.

3.4. Reproducibility and Repeatability of the Sensor

The reproducibility and repeatability of the sensor were evaluated. Reproducibility refers to the consistency of sensor responses when measurements are performed using different electrodes fabricated under the same conditions. Repeatability refers to the consistency of measurements obtained using the same electrode over multiple trials, reflecting the sensor’s stability and performance over time. Both aspects are critical since reproducibility ensures that the sensor fabrication process is reliable, while repeatability indicates the sensor’s operational stability during use. The first was assessed by measuring the same solution with three different electrodes, all made following the same procedure. In contrast, repeatability was evaluated by performing multiple measurements on the same solution with the same electrode. For the reproducibility test, eleven different nitrite concentrations (i.e., 0.2, 0.5, 1, 2, 5, 10, 20, 30, 40, 50, and 60 µM) were tested, and each concentration was measured three times. The relative standard deviations (RSDs) were 6.48%, 3.74%, 4.77%, 1.49%, 2.91%, 0.43%, 1.39%, 0.78%, 0.13%, 0.52%, and 0.04%, respectively, confirming good reproducibility (Figure S8). This result highlights the reliability of the electrode functionalization process. For the repeatability test, five consecutive measurements were carried out using the same electrode in a 30 µM NO2 solution. The sensor maintained stable performance up to the third measurement, which showed a 6.5% decrease in the anodic peak current compared to the first measurement (Figure S9). This indicates that while the sensor can be reused, its performance gradually diminishes with repeated use. Since screen-printed electrodes (SPEs) are generally designed as disposable devices, our sensor shows promising reusability for a limited number of measurements, which could be advantageous in applications requiring multiple analyses without electrode replacement. Storage conditions for the electrodes involve keeping them in a dry, dark environment at room temperature when not in use to minimize degradation. The electrodes were rinsed with deionized water between measurements to remove residual analyte and dried gently with nitrogen gas. No additional regeneration steps were applied, which may contribute to the observed signal decrease upon reuse.

3.5. Interference Study

The Cu-Mn/C modified electrode exhibited exceptional selectivity for nitrite (NO2) in the presence of common interferents, including nitrate (NO3), ammonium (NH4+), and monochloramine (NH2Cl). Cyclic voltammetry confirmed the absence of redox activity for these species within the sensor’s operational window (0.6–1.0 V vs. Ag), with no detectable oxidation peak observed in nitrite-free solutions containing the interferents. Since the LoD of the sensor is very low, it was decided to use interferent concentrations (30 µM) equal to that of nitrite (30 µM) for interference measurements (Figure S10). This approach allows a direct and comparable evaluation of the interferent’s effect at the same concentration as the analyte, enabling the study of selectivity under controlled conditions. In the presence of interferents and nitrite, the anodic peak current remained stable, demonstrating robust selectivity. It is due to the electrocatalytic properties of the MnO2/CuO interface. In addition, the sensor was used in another work (N. Marino et al.) [55] to make quantitative measurements on an electrolytic solution for ammonia production in which nitrate, ammonium ions, and other reduced nitrogen species (such as NH2OH and N2H4) were present. Also, there was no interference with the measurement of nitrite concentration. The nitrite detection results matched the calibration curve obtained in PBS (R2 = 0.997), confirming the sensor’s accuracy even in complex matrices. This is because, although NO3 is structurally similar to NO2, it requires a higher oxidation potential (+1.2 V vs. Ag) compared to NO2 (+0.8 V), which prevents it from undergoing electron transfer under the same conditions. NH4+ has no accessible redox states at the applied potential and therefore remains electrochemically inactive. The MnO2/CuO synergy, combining Mn4+/Mn3+ redox mediation with CuO’s oxygen-vacancy-enabled adsorption, effectively discriminates against non-target species while stabilizing NO2 intermediates. This dual mechanism ensures precise nitrite detection in industrial and environmental applications, even in the presence of competing nitrogen species.

4. Conclusions

This work presents a novel, cost-effective, and easily manufactured amperometric sensor for nitrite detection in drinking water. The sensor is based on the electrodeposition of manganese and copper oxides onto a carbon screen-printed electrode. The synergistic catalytic activity of CuO and MnO2 enables highly sensitive nitrite detection with a sensitivity of 10.83 μA/µM, a low limit of detection of 0.071 µM, and a wide linear dynamic range from 0.2 to 60 µM. The sensor exhibits insignificant interference from common water contaminants, excellent reproducibility, and acceptable repeatability for multiple measurements. These features, combined with its ease of fabrication, make it a promising candidate for real-time, on-site monitoring of nitrite levels in environmental and industrial applications. Further research will focus on long-term stability, miniaturization, and integration into portable devices for widespread use.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/s25123764/s1, Figure S1: EDX analysis of Cu-Mn/C electrode, Figure S2: Raman spectra of Cu-Mn/C electrode, Figure S3: XPS spectra of Cu-Mn/C electrode, Figure S4: XPS spectra of Cu-Mn/C electrode after the use, Figure S5: Calibration curve of the electrode as a function of the nitrite concentration (i.e., 20, 30, 40, 50, and 60 µM), Figure S6: LSV measurement at nitrite concentration of 0.2, 0.5, 1, 2, 5, 10, 20, 30, 40, 50, and 60 µM, Figure S7: Calibration curve of the electrode as a function of the nitrite concentration (i.e., 0.2, 0.5, 1, 2, 5, 10, 20, 30, 40, 50, and 60 µM). The points, representing the average peak current measured by three sensors, indicate the anodic current peak maximum at 0.8 V. The SD is represented by the error bars, Figure S8: Reproducibility test for Cu-Mn/C electrode, Figure S9: Repeatability test for Cu-Mn/C electrode, Figure S10: Interfering tests.

Author Contributions

Conceptualization, R.F. and S.L.; methodology, R.F., D.C., G.E.C., G.A.S., A.A., S.S. and S.M.S.P.; formal analysis, R.F., G.E.C., G.A.S., D.C., A.A., S.S. and S.M.S.P.; investigation, R.F., A.A., S.M.S.P. and S.S.; resources, S.L.; data curation, R.F., G.E.C., G.A.S., S.C.R.R. and D.C.; writing—original draft preparation, R.F.; writing—review and editing, R.F., G.A.S., A.A., S.S., D.C., G.E.C., G.A.S., S.C.R.R., G.G.C., M.A.C. and S.L.; supervision, G.G.C. and S.L.; project administration, S.L. and M.A.C.; funding acquisition, S.L. All authors have read and agreed to the published version of the manuscript.

Funding

The work was supported by the European Union (NextGeneration EU), through the MUR-PNRR project SAMOTHRACE [GA ECS00000022]. Part of the measurements were carried out in the Italian Infrastructure Beyond-Nano, co-funded by Regione Sicilia (D.D.G. 2929/5S), and by the Italian Ministry of University and Research (Decree 2510/2019). One of the authors (D.C.) acknowledges support from the Ministero delle Imprese e del Made in Italy (MIMIT) under IPCEI Microelettronica 2, project MicroTech_for_Green.

Data Availability Statement

The raw data supporting the conclusions of this article are included in the paper and Supplementary Materials figures and tables.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Picetti, R.; Deeney, M.; Pastorino, S.; Miller, M.R.; Shah, A.; Leon, D.A.; Dangour, A.D.; Green, R. Nitrate and nitrite contamination in drinking water and cancer risk: A systematic review with meta-analysis. Environ. Res. 2022, 210, 112988. [Google Scholar] [CrossRef] [PubMed]
  2. Ding, F.; Zhang, G.; Chen, C.; Jiang, S.; Tang, H.; Tan, L.; Ma, M. A Metal–Organic Gel-Carbon Nanotube Nanocomposite for Electrochemical Detection of Nitrite. ACS Appl. Electron. Mater. 2021, 3, 761–768. [Google Scholar] [CrossRef]
  3. Rajab, N.; Ibrahim, H.; Hassan, R.Y.A.; Youssef, A.F.A. Selective Determination of Nitrite in Water and Food Samples Using Zirconium Oxide (ZrO2)@MWCNTs Modified Screen Printed Electrode. RSC Adv. 2023, 13, 21259–21270. [Google Scholar] [CrossRef] [PubMed]
  4. Guo, D.; Wang, Y.; Zhang, Y.; Duan, J.; Guan, F.; Hou, B. Effects of marine eutrophication environment on microbial corrosion: A review. Mar. Pollut. Bull. 2024, 205, 116637. [Google Scholar] [CrossRef] [PubMed]
  5. Preussmann, R. Carcinogenic N-nitroso compounds and their environmental significance. Naturwissenschaften 1984, 71, 25–30. [Google Scholar] [CrossRef] [PubMed]
  6. Fahey, J.M.; Isaacson, R.L. Pretreatment effects on nitrite-induced methemoglobinemia: Saline and calcium channel antagonists. Pharmacol. Biochem. Behav. 1990, 37, 457–459. [Google Scholar] [CrossRef]
  7. Piazza, J.; Douin, C.; Bodson, L.; Ghuysen, A.; D’Orio, V. Le cas clinique du mois. Syndrome du bébé bleu: La vérité cachée au fond du puits [Blue baby syndrome: The source of the truth]. Rev. Médicale Liège 2014, 69, 175–179. (In French) [Google Scholar] [PubMed]
  8. Kross, B.C.; Ayebo, A.D.; Fuortes, L.J. Methemoglobinemia: Nitrate toxicity in rural America. Am. Fam. Physician 1992, 46, 183–188. [Google Scholar] [PubMed]
  9. Yang, Y.; Lei, Q.; Li, J.; Hong, C.; Zhao, Z.; Xue, H.; Hu, J. Ultrasensitive Electrochemical Detection of Nitrite Using Hierarchical Nanocomposites. Microchem. J. 2022, 172, 106904. [Google Scholar] [CrossRef]
  10. Shi, H.; Fu, L.; Chen, F.; Zhao, S.; Lai, G. Environmental Risk Assessment of Nitrite Contamination in Groundwater. Environ. Res. 2022, 209, 112747. [Google Scholar]
  11. Fan, A.M.; Steinberg, V.E. Health implications of nitrate and nitrite in drinking water: An update on methemoglobinemia occurrence and reproductive and developmental toxicity. Regul. Toxicol. Pharmacol. 1996, 23 Pt 1, 35–43. [Google Scholar] [CrossRef] [PubMed]
  12. Capuano, G.E.; Farina, R.A.; Screpis, G.A.; Corso, D.; Coniglio, M.A.; Libertino, S. In-Situ Contaminant Detection by Portable and Potentially Real-Time Sensing Systems. In Sustaining Water Quality; Massarelli, C., Ed.; IntechOpen: Rijeka, Croatia, 2024; Chapter 4. [Google Scholar] [CrossRef]
  13. Economou, A. Screen-Printed Electrodes Modified with “Green” Metals for Electrochemical Stripping Analysis of Toxic Elements. Sensors 2018, 18, 1032. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  14. Yáñez-Sedeño, P.; Campuzano, S.; Pingarrón, J.M. Screen-Printed Electrodes: Promising Paper and Wearable Transducers for (Bio)Sensing. Biosensors 2020, 10, 76. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  15. Kamalasekaran, K.; Sundramoorthy, A.K. Applications of chemically modified screen-printed electrodes in food analysis and quality monitoring: A review. RSC Adv. 2024, 14, 27957–27971. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  16. Farina, R.; Scalese, S.; Corso, D.; Capuano, G.E.; Screpis, G.A.; Coniglio, M.A.; Condorelli, G.G.; Libertino, S. Chronoamperometric Ammonium Ion Detection in Water via Conductive Polymers and Gold Nanoparticles. Molecules 2024, 29, 3028. [Google Scholar] [CrossRef]
  17. Costa-Rama, E.; Fernández-Abedul, M.T. Paper-Based Screen-Printed Electrodes: A New Generation of Low-Cost Electroanalytical Platforms. Biosensors 2021, 11, 51. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  18. Farina, R.; D’Arrigo, G.; Alberti, A.; Scalese, S.; Capuano, G.E.; Corso, D.; Screpis, G.A.; Coniglio, M.A.; Condorelli, G.G.; Libertino, S. Copper Micro-Flowers for Electrocatalytic Sensing of Nitrate Ions in Water. Sensors 2024, 24, 4501. [Google Scholar] [CrossRef]
  19. Hassan, M.H.; Khan, R.; Andreescu, S. Advances in electrochemical detection methods for measuring contaminants of emerging concerns. Electrochem. Sci. Adv. 2022, 2, e2100184. [Google Scholar] [CrossRef]
  20. Ghezal, A.; Al-Hamry, A.; Bouhamed, A.; Azzouzi, S.; Paterno, L.G.; Ben Ali, M.; Kanoun, O. Electrochemical detection of nitrite using screen printed graphite electrode modified by ION/rGO. In Proceedings of the 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD), Istanbul, Turkey, 21–24 March 2019; pp. 611–614. [Google Scholar] [CrossRef]
  21. Talbi, M.; Al-Hamry, A.; Teixeira, P.R.; Bouhamed, A.; Azzouzi, S.; Paterno, L.G.; Ben Ali, M.; Kanoun, O. Graphite Screen Printed Electrodes Functionalized with AuNPs-PEI for Nitrite Detection. In Proceedings of the 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD), Istanbul, Turkey, 21–24 March 2019; pp. 1–4. [Google Scholar] [CrossRef]
  22. Amali, R.K.A.; Lim, H.N.; Ibrahim, I.; Zainal, Z.; Ahmad, S.A.A. A copper-based metal-organic framework decorated with electrodeposited Fe2O3 nanoparticles for electrochemical nitrite sensing. Microchim. Acta 2022, 189, 356. [Google Scholar] [CrossRef] [PubMed]
  23. Ambaye, A.D.; Muchindu, M.; Jijana, A.; Mishra, S.; Nxumalo, E. Screen-printed electrode system based on carbon black/copper-organic framework hybrid nanocomposites for the electrochemical detection of nitrite. Mater. Today Commun. 2023, 35, 105567. [Google Scholar] [CrossRef]
  24. Adiraju, A.; Munjal, R.; Viehweger, C.; Al-Hamry, A.; Brahem, A.; Hussain, J.; Kommisetty, S.; Jalasutram, A.; Tegenkamp, C.; Kanoun, O. Towards Embedded Electrochemical Sensors for On-Site Nitrite Detection by Gold Nanoparticles Modified Screen Printed Carbon Electrodes. Sensors 2023, 23, 2961. [Google Scholar] [CrossRef] [PubMed]
  25. Yin, D.; Liu, Y.; Song, P.; Chen, P.; Liu, X.; Cai, L.; Zhang, L. In situ growth of copper/reduced graphene oxide on graphite surfaces for the electrocatalytic reduction of nitrate. Electrochim. Acta 2019, 324, 134846. [Google Scholar] [CrossRef]
  26. Reyter, D.; Bélanger, D.; Roué, L. Study of the electroreduction of nitrate on copper in alkaline solution. Electrochim. Acta 2008, 53, 5977–5984. [Google Scholar] [CrossRef]
  27. Farina, R.; D’Arrigo, G.; Alberti, A.; Capuano, G.E.; Corso, D.; Screpis, G.A.; Coniglio, M.A.; Condorelli, G.G.; Libertino, S. Electrochemical Growth of Copper Crystals on SPCE for Electrocatalysis Nitrate Reduction. Nanomaterials 2024, 14, 1704. [Google Scholar] [CrossRef]
  28. Elgrishi, N.; Rountree, K.J.; McCarthy, B.D.; Rountree, E.S.; Eisenhart, T.T.; Dempsey, J.L. A Practical Beginner’s Guide to Cyclic Voltammetry. J. Chem. Educ. 2018, 95, 197–206. [Google Scholar] [CrossRef]
  29. Tranchida, G.; Milazzo, R.G.; Leonardi, M.; Scalese, S.; Farina, R.A.; Lombardo, S.; Privitera, S.M.S. Ultra-Low Loading of Gold on Nickel Foam for Nitrogen Electrochemistry. Nanomaterials 2023, 13, 2850. [Google Scholar] [CrossRef]
  30. Silva, R.M.; da Silva, A.D.; Camargo, J.R.; de Castro, B.S.; Meireles, L.M.; Silva, P.S.; Janegitz, B.C.; Silva, T.A. Carbon Nanomaterials-Based Screen-Printed Electrodes for Sensing Applications. Biosensors 2023, 13, 453. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  31. Antuña-Jiménez, D.; González-García, M.B.; Hernández-Santos, D.; Fanjul-Bolado, P. Screen-Printed Electrodes Modified with Metal Nanoparticles for Small Molecule Sensing. Biosensors 2020, 10, 9. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  32. Ramakrishnappa, T.; Sureshkumar, K.; Pandurangappa, M. Copper oxide impregnated glassy carbon spheres based electrochemical interface for nitrite/nitrate sensing. Mater. Chem. Phys. 2020, 245, 122744. [Google Scholar] [CrossRef]
  33. Šljukić, B.; Banks, C.E.; Crossley, A.; Compton, R.G. Copper Oxide—Graphite Composite Electrodes: Application to Nitrite Sensing. Electroanalysis 2007, 19, 79–84. [Google Scholar] [CrossRef]
  34. Zhang, L.; Yuan, F.; Zhang, X.; Yang, L. Facile synthesis of flower like copper oxide their application to hydrogen peroxide nitrite sensing. Chem. Cent. J. 2011, 5, 75. [Google Scholar] [CrossRef] [PubMed]
  35. Nozari-Asbemarz, M.; Amiri, M.; Imanzadeh, H.; Bezaatpour, A.; Nouhi, S.; Hosseini, P.; Wark, M.; Seifzadeh, D. Mixed metal oxides as efficient electrocatalysts for water oxidation. Int. J. Hydrog. Energy 2022, 47, 5250–5259. [Google Scholar] [CrossRef]
  36. Sannasi, V.; Subbian, K. Influence of Moringa oleifera gum on two polymorphs synthesis of MnO2 and evaluation of the pseudo-capacitance activity. J. Mater. Sci. Mater. Electron. 2020, 31, 17120–17132. [Google Scholar] [CrossRef]
  37. Srivastava, G.; Dalela, S.; Kumar, S.; Choudhary, B.; Alvi, P. Structural and Raman studies of MnO2 and Mn2O3 nano-particles. Mater. Today Proc. 2023, 79, 169–171. [Google Scholar] [CrossRef]
  38. Jung, J.-Y.; Lee, J.; Kim, Y.; Shin, D.; Park, J.; Kim, S.; Byon, H.R.; Kim, H.; Song, H. Switching Methane Selectivity in Carbon Dioxide Electroreduction via Confining Copper(I) Oxide Nanocubes by Polyimine Shells. ACS Catal. 2025, 15, 2642–2653. [Google Scholar] [CrossRef]
  39. Deng, Y.; Handoko, A.D.; Du, Y.; Xi, S.; Yeo, B.S. In Situ Raman Spectroscopy of Copper and Copper Oxide Surfaces during Electrochemical Oxygen Evolution Reaction: Identification of CuIII Oxides as Catalytically Active Species. ACS Catal. 2016, 6, 2473–2481. [Google Scholar] [CrossRef]
  40. Zoolfakar, A.S.; Rani, R.A.; Morfa, A.J.; O’MUllane, A.P.; Kalantar-Zadeh, K. Nanostructured copper oxide semiconductors: A perspective on materials, synthesis methods and applications. J. Mater. Chem. C 2014, 2, 5247–5270. [Google Scholar] [CrossRef]
  41. Sivkov, D.V.; Petrova, O.V.; Nekipelov, S.V.; Vinogradov, A.S.; Skandakov, R.N.; Isaenko, S.I.; Ob’edkov, A.M.; Kaverin, B.S.; Vilkov, I.V.; Korolev, R.I.; et al. The Identification of Cu–O–C Bond in Cu/MWCNTs Hybrid Nanocomposite by XPS and NEXAFS Spectroscopy. Nanomaterials 2021, 11, 2993. [Google Scholar] [CrossRef]
  42. Ghodselahi, T.; Vesaghi, M.; Shafiekhani, A.; Baghizadeh, A.; Lameii, M. XPS study of the Cu@Cu2O core-shell nanoparticles. Appl. Surf. Sci. 2008, 255, 2730–2734. [Google Scholar] [CrossRef]
  43. Di Castro, V.; Polzonetti, G. XPS study of MnO oxidation. J. Electron Spectrosc. Relat. Phenom. 1989, 48, 117–123. [Google Scholar] [CrossRef]
  44. Su, X.; Feng, G.; Yu, L.; Li, Q.; Zhang, H.; Song, W.; Hu, G. In-situ green synthesis of CuO on 3D submicron-porous/solid copper current collectors as excellent supercapacitor electrode material. J. Mater. Sci. Mater. Electron. 2019, 30, 3545–3551. [Google Scholar] [CrossRef]
  45. Wang, J.; Zhang, D.; Nie, F.; Zhang, R.; Fang, X.; Wang, Y. The role of MnO2 crystal morphological scale and crystal structure in selective catalytic degradation of azo dye. Environ. Sci. Pollut. Res. 2023, 30, 15377–15391. [Google Scholar] [CrossRef] [PubMed]
  46. Fiorenza, R.; Farina, R.A.; Malannata, E.M.; Lo Presti, F.; Balsamo, S.A. VOCs Photothermo-Catalytic Removal on MnOx-ZrO2 Catalysts. Catalysts 2022, 12, 85. [Google Scholar] [CrossRef]
  47. Xia, Q.; Zhang, S.; Qu, S.; Zhu, Y.; Zhang, Z. Surface decoration of multi-walled carbon nanotubes modified carbon paste electrode with CuO nanoparticles for electrocatalytic oxidation of nitrite. Indian J. Chem. 2020, 59, 625–632. [Google Scholar] [CrossRef]
  48. Xu, M.-W.; Bao, S.-J. Nanostructured MnO2 for Electrochemical Capacitor. In Energy Storage in the Emerging Era of Smart Grids; InTech: Vienna, Austria, 2011. [Google Scholar] [CrossRef]
  49. Huang, W.; Li, J.; Xu, Y. Nucleation and Growth of Porous MnO2 Coatings Prepared on Nickel Foam and Evaluation of Their Electrochemical Performance. Materials 2018, 11, 716. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  50. Desai, M.A.; Vedpathak, A.S.; Bhapkar, A.R.; Saratale, G.D.; Sartale, S.D. An investigation of chemical and electrochemical conversion of SILAR grown Mn3O4 into MnO2 thin films. J Environ. Manag. 2021, 299, 113564. [Google Scholar] [CrossRef] [PubMed]
  51. Malha, S.I.R.; Mandli, J.; Ourari, A.; Amine, A. Carbon black-modified electrodes as sensitive tools for the electrochemicaldetection of nitrite and nitrate. Electroanalysis 2013, 25, 2289–2297. [Google Scholar] [CrossRef]
  52. Abdi, Z.; Vandichel, M.; Sologubenko, A.S.; Willinger, M.-G.; Shen, J.-R.; Allakhverdiev, S.I.; Najafpour, M.M. The importance of identifying the true catalyst when using Randles-Sevcik equation to calculate turnover frequency. Int. J. Hydrog. Energy 2021, 46, 37774–37781. [Google Scholar] [CrossRef]
  53. González-Meza, O.A.; Larios-Durán, E.R.; Gutiérrez-Becerra, A.; Casillas, N.; Escalante, J.I.; Bárcena-Soto, M. Development of a Randles-Ševčík-like equation to predict the peak current of cyclic voltammetry for solid metal hexacyanoferrates. J. Solid State Electrochem. 2019, 23, 3123–3133. [Google Scholar] [CrossRef]
  54. Algethami, F.K.; Rabti, A.; Mastouri, M.; Abdulkhair, B.Y.; Ben Aoun, S.; Raouafi, N. Highly sensitive capacitance-based nitrite sensing using polydopamine/AuNPs-modified screen-printed carbon electrode. RSC Adv. 2023, 13, 21336–21344. [Google Scholar] [CrossRef]
  55. Marino, N.; Milazzo, R.G.; Farina, R.; Bongiorno, C.; Libertino, S.; Lombardo, S.A.; Privitera, S.M.S. High Performance Fe-MoS2 Electrocatalyst for Efficient Nitrate Reduction to Ammonia: Synergistic Design for Sustainable Ammonia Production. ACS Sustain. Chem. Eng. J. Available online: https://ecs.confex.com/ecs/247/meetingapp.cgi/Paper/203301 (accessed on 11 May 2025).
Figure 1. SEM images of: carbon bare electrode (a), Cu-Mn/C modified electrode (b).
Figure 1. SEM images of: carbon bare electrode (a), Cu-Mn/C modified electrode (b).
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Figure 2. XPS spectra of Cu-Mn/C electrode: Cu (a), Mn (b).
Figure 2. XPS spectra of Cu-Mn/C electrode: Cu (a), Mn (b).
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Figure 3. Cyclic voltammograms in 0.01 M PBS supporting electrolyte of: bare C electrode (black trace) and Cu-Mn/C modified electrode (red trace) (a); bare C electrode (black trace), Cu-Mn/C modified electrode (red trace) and Cu-Mn/C modified electrode in the presence of 30 µM NO2 (blue trace) (b).
Figure 3. Cyclic voltammograms in 0.01 M PBS supporting electrolyte of: bare C electrode (black trace) and Cu-Mn/C modified electrode (red trace) (a); bare C electrode (black trace), Cu-Mn/C modified electrode (red trace) and Cu-Mn/C modified electrode in the presence of 30 µM NO2 (blue trace) (b).
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Figure 4. The NO2 oxidation peak potential as a function of the scan rate (a). Maximum peak current as a function of the square root of the scan rate. The dashed red line is the linear best fit of the data (b).
Figure 4. The NO2 oxidation peak potential as a function of the scan rate (a). Maximum peak current as a function of the square root of the scan rate. The dashed red line is the linear best fit of the data (b).
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Figure 5. Calibration curve of the electrode as a function of the nitrite concentration (i.e., 0.2, 0.5, 1, 2, 5, 10, 20, 30, 40, 50, and 60 µM). The points, representing the average peak current measured by three sensors, indicate the anodic current peak maximum at 0.8 V. The SD is represented by the error bars.
Figure 5. Calibration curve of the electrode as a function of the nitrite concentration (i.e., 0.2, 0.5, 1, 2, 5, 10, 20, 30, 40, 50, and 60 µM). The points, representing the average peak current measured by three sensors, indicate the anodic current peak maximum at 0.8 V. The SD is represented by the error bars.
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Table 1. Comparison of this work with some of the literature electrochemical sensing platforms for nitrite detection.
Table 1. Comparison of this work with some of the literature electrochemical sensing platforms for nitrite detection.
ElectrodeLoDLinear RangeApplicationReference
SPE modified with CuO and MnO2
(This work)
71 nM0.2–60 µMDrinking waterThis work
SPCE modified with copper(II)-benzene-1,4-dicarboxylate (Cu-BDC) frameworks and Fe2O3 NPs74 nM1–2000 µMMineral water [26]
AuNP-modified screen-printed carbon electrode (SPCE)0.38 µM5.0–100 µMOn-site detection in aqueous samples[24]
SPE modified with ZrO2@MWCNTs0.94 µM5.0–100 µMFood and water samples[3]
Polydopamine/AuNPs-modified SPCE1.98 μM10 to 500 μMProcessed meat samples in water[54]
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Farina, R.; Scalese, S.; Alberti, A.; Privitera, S.M.S.; Capuano, G.E.; Corso, D.; Screpis, G.A.; Reina, S.C.R.; Condorelli, G.G.; Coniglio, M.A.; et al. Electrocatalytical Nitrite Oxidation via Manganese and Copper Oxides on Carbon Screen-Printed Electrode. Sensors 2025, 25, 3764. https://doi.org/10.3390/s25123764

AMA Style

Farina R, Scalese S, Alberti A, Privitera SMS, Capuano GE, Corso D, Screpis GA, Reina SCR, Condorelli GG, Coniglio MA, et al. Electrocatalytical Nitrite Oxidation via Manganese and Copper Oxides on Carbon Screen-Printed Electrode. Sensors. 2025; 25(12):3764. https://doi.org/10.3390/s25123764

Chicago/Turabian Style

Farina, Roberta, Silvia Scalese, Alessandra Alberti, Stefania Maria Serena Privitera, Giuseppe Emanuele Capuano, Domenico Corso, Giuseppe Andrea Screpis, Serena Concetta Rita Reina, Guglielmo Guido Condorelli, Maria Anna Coniglio, and et al. 2025. "Electrocatalytical Nitrite Oxidation via Manganese and Copper Oxides on Carbon Screen-Printed Electrode" Sensors 25, no. 12: 3764. https://doi.org/10.3390/s25123764

APA Style

Farina, R., Scalese, S., Alberti, A., Privitera, S. M. S., Capuano, G. E., Corso, D., Screpis, G. A., Reina, S. C. R., Condorelli, G. G., Coniglio, M. A., & Libertino, S. (2025). Electrocatalytical Nitrite Oxidation via Manganese and Copper Oxides on Carbon Screen-Printed Electrode. Sensors, 25(12), 3764. https://doi.org/10.3390/s25123764

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