Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

Engineered carbon electrode with graphene-cyclodextrin/ferrocenyl-carnosine nanoassembly for Mn(II) detection

Chiara Abatea, Giulia Neri*a, Marco Abbatea, Massimiliano Cordaroa, Placido Giuseppe Mineob, Enza Fazioc, Carmelo Corsaroc, Ottavia Giuffréa, Claudia Foti*a and Anna Pipernoa
aDepartment of Chemical, Biological, Pharmaceutical, and Environmental Sciences, University of Messina, 31 Viale F. Stagno d’Alcontres, 98166 Messina, Italy. E-mail: giulia.neri@unime.it; claudia.foti@unime.it
bDepartment of Chemical Sciences, University of Catania, Catania 95125, Italy
cDepartment of Mathematical and Computer Sciences, Physics Science and Earth Science, University of Messina, 31 Viale F. Stagno d’Alcontres, 98166 Messina, Italy

Received 29th April 2025 , Accepted 22nd June 2025

First published on 8th July 2025


Abstract

The modification of electrodes using carbon-based nanomaterials is an efficient strategy for enhancing their electrical conductivity and working surface area. In this study, we explore the ability of a screen-printed carbon electrode (SPCE) modified with graphene-cyclodextrin/ferrocenyl-carnosine (GCD/FcCAR) supramolecular assembly for the determination of Mn(II) in an aqueous solution. Although Mn(II) is an essential nutrient for humans, it can be toxic at elevated levels, leading to neurotoxic symptoms. Consequently, accurate analytical determination is necessary. The graphene platform (G-Alk) was derivatized with mono-6-deoxy-6-azido-β-cyclodextrin (CD) via a click chemistry reaction. The chemical–physical properties of the GCD system were investigated using thermogravimetric analysis, scanning electron microscopy, Raman spectroscopy, and X-ray photoelectron spectroscopy. An aliquot of GCD dispersion was cast on the surface of the SPCE (SPCE/GCD), and its electrochemical response was evaluated using cyclic voltammetry (CV) with [Fe(CN)6]3− as the redox probe. A notable 30% increase in the signal was observed for SPCE/GCD compared with the bare SPCE. Additionally, the remarkable metal-ion complexing and electroanalytical abilities of FcCAR were leveraged in this study. Therefore, CV and differential pulse voltammetry (DPV) experiments were conducted to assess the voltammetric response of FcCAR on SPCE/GCD (SPCE/GCD/FcCAR) toward Mn(II). DPV measurements allowed us to obtain a limit of detection (LOD) and limit of quantification (LOQ) of 0.69 and 2.3 nmol L−1, respectively, within a linear concentration range (0.17 ≤ [Mn(II)]/nmol L−1 ≤ 48). The LOD obtained is one of the lowest reported in the literature, highlighting the potential applicability of the SPCE/GCD/FcCAR system for Mn(II) determination in aqueous solutions.


1 Introduction

Electrochemical sensing devices are powerful tools in analytical chemistry1 as they convert any measurable physical quantity into a signal that can be read, displayed, stored or controlled.2 Electrochemical sensors, based on screen-printed electrodes (SPEs), are particularly valued for their robustness, versatility, rapid and multiplexed analyses, cost-effectiveness, selectivity, specificity, and low detection limits.3–5 These features make electrochemical sensing techniques highly suitable for application across a wide range of fields,5 particularly for the detection of environmental contaminants (e.g., metal ions, drugs, toxins, and pesticides) or pollutants in processed food (e.g., phenol, sulfite, hydrazine, and hydroxylamine). Additionally, these methods offer the advantage of minimizing the use of organic solvents, reducing the number of operational steps, and streamlining the sample pretreatment process.3,6 Special and increasing attention has been paid to the design of electrochemical sensors for the accurate and sensitive detection of analytes. In this regard, electrode surface modification can help overcome the high redox potential and low sensitivity of electroactive materials on unmodified electrodes, accelerating electrode kinetics and enhancing sensitivity in the detection process.6–10 These features are most effectively achieved using the drop-casting method, which avoids the coffee-ring effect.5 The employment of carbon-based nanomaterials (CBNs) as surface modifiers offers several advantages, including (i) an increased active surface area, (ii) enhanced charge transfer due to high electrical conductivity, and (iii) the ability to graft specific recognition elements owing to their versatile surface chemistry, providing easy derivatization.5,11

In the last years, it has been demonstrated that the derivatization of CBNs with β-cyclodextrins (βCDs) results in nanohybrid systems, in which the synergistic interaction between the constituent building blocks optimally combines their individual properties.12–15

Our recent work involved the development of modified screen-printed carbon electrodes (SPCEs) using a nanoassembled carbon nanotube-cationic cyclodextrin (CNT-CDs) and ferrocenyl-carnosine (FcCAR) system for Hg(II) sensing.16 It combines the chelating properties of the FcCAR ligand toward Hg(II)17 with the ability of carbon nanomaterials to improve electrical conductivity and expand the electrode surface area through structural modifications.16 Graphene and its derivatives also improve electrochemical performance, and therefore, they are used in sensing and biosensing applications.18–20

In the present study, we exploit the peculiar properties of the FcCAR unit supramolecularly assembled with a graphene-β cyclodextrin (GCD) nanoplatform (Fig. 1). GCD offers high loading capacity owing to its larger surface area and excellent electrical conductivity;21 however, its hydrophobic nature and tendency to form irreversible agglomerates in water limit its applications. Therefore, proper functionalization of graphene systems with suitable compounds, such as cyclodextrins (CDs), is pivotal to overcome these limitations.12,22


image file: d5ra03016a-f1.tif
Fig. 1 Representative illustration of SPCEs modified with the nanoassembled GCD/FcCAR system. The chemical structures of GCD and FcCAR are shown on the left.

In this context, the graphene platform (G-Alk) was covalently bonded to CD, a strategy that prevents gradual CD detachment, a common issue when CDs are not covalently attached.23 Moreover, the use of a click chemistry reaction to synthesize the GCD system is a relatively unexplored approach for preparing hybrid materials within the field of electrochemical sensing.23 Covalent conjugation with CDs further introduces new binding sites through their hydrophilic outer rims and hydrophobic inner cavities, facilitating supramolecular complexation and the formation of a stable host–guest inclusion complex involving the GCD platform and FcCAR unit (GCD/FcCAR).16

The chemical composition and morphology of the novel GCD system were characterized via thermogravimetric analysis (TGA), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), and Raman spectroscopy. An update on the synthesis of FcCAR, as previously reported in our recent publication,17 is also provided. Furthermore, the formation of a supramolecular complex between GCD and FcCAR on the SPCE was confirmed through XPS analysis.

The electrochemical response of the new supramolecular GCD/FcCAR assembly was evaluated through voltammetric detection of Mn(II), by means of cyclic voltammetry (CV) and differential pulse voltammetry (DPV).

Manganese (Mn) is an essential element for living systems, including humans, and it is absorbed through food and water.24 However, elevated levels of Mn can lead to neurotoxic symptoms and contribute to neurodegeneration and developmental effects.25 Although Mn exists in various oxidation states in many natural water sources, Mn(II) is one of the most significant forms in terms of environmental and biological relevance. Therefore, accurate and sensitive detection of trace levels of Mn(II) is crucial.26,27

To this end, a novel electrochemical approach has been proposed that exploits the response of FcCAR on SPCE/GCD (SPCE/GCD/FcCAR) toward Mn(II), with the aim of developing a simple and highly sensitive method for Mn(II) detection. The new system demonstrated promising analytical capabilities for detecting Mn(II) in aqueous solutions with limit of detection (LOD) and limit of quantification (LOQ) values of 0.69 and 2.3 nmol L−1, respectively, in the concentration range 0.17 ≤ [Mn(II)]/nmol L−1 ≤ 48. This study lays the basis for the development of an analytical procedure useful for the determination of Mn(II) in real natural waters.

2 Results and discussion

2.1 Synthesis and physicochemical characterization of the GCD nanoplatform

Chemical and structural modifications of carbon-based materials can significantly enhance their processability and sensing performance.16

A GCD nanoplatform with high affinity for FcCAR was synthesized from commercial graphene oxide (GO) using a three-step synthetic procedure (Fig. 2A). GO was chemically reduced to G-red, partially restoring its sp2 network, improving the electrical properties of graphene, and making it more suitable for electrochemical sensing applications. Subsequently, G-red was derivatized with an alkyne-terminated group (G-Alk),28 creating anchorage sites for CD grafting. The GCD nanosystem was obtained using a click chemistry reaction between the alkyne moiety on the G surface and the azide groups of mono-6-deoxy-6-azido-β-cyclodextrin (CD).29 Unambiguous evidence of the functionalization of the graphene platform was provided via TGA analysis (Fig. 2B). G-red exhibited significantly higher thermal stability, with a constant mass loss up to 800 °C, while G-Alk displayed an initial degradation point at 180 °C, followed by continuous degradation till 800 °C (Fig. 2B). As per the TGA thermogram, the amount of the alkyne moiety grafted on the graphene surface was found to be 0.37 mmol g−1 (≈5% weight loss, with respect to G-red residue at 600 °C). In agreement with literature data,12,30 the TGA profile of graphene decorated with CD shows a different thermal profile compared with the precursors (G-red and G-Alk), with two stages of weight loss: from 100 °C to 210 °C, due to the loss of residual water, and from 250 °C to 600 °C, due to the loss of CD units (Fig. 2B). The amount of CD grafted on GCD was determined to be 44 μmol g−1 (≈5% weight loss, with respect to G-Alk residue at 600 °C).


image file: d5ra03016a-f2.tif
Fig. 2 Schematic representation of the (A) GCD and (C) FcCAR synthesis protocols. (B) TGA profiles of G-red (black line), G-Alk (red line) and GCD (blue line) under nitrogen flow.

The synthesis of FcCAR (Fig. 2C) was optimized compared with previously reported procedures,17 resulting in the higher yield and purity of the final product. The use of EDCI and NHS as coupling reagents enabled the preparation of the Fc-NHS derivative without the formation of a dicyclohexylurea byproduct. After purification using a chromatography column, the intermediate was coupled with CAR, and the crude reaction mixture was further purified via chromatography using a gradient of DCM to DCM[thin space (1/6-em)]:[thin space (1/6-em)]MeOH (1[thin space (1/6-em)]:[thin space (1/6-em)]1) as the eluent. Purification under weak acidic conditions, due to the silica support, prevented the formation of ferrocenyl aggregates, which are typically observed when water is used in the synthesis and purification process.

FcCAR was fully characterized using NMR spectroscopy. The proton signals of the CAR and Fc moieties were clearly distinguished in 1H-NMR spectra. The chemical shifts of protons in the CAR moiety matched those of L-carnosine,31 under identical experimental conditions (D2O as the deuterated solvent and neutral pH) (Fig. S1 and S2). An evident downfield shift of H-11 protons adjacent to nitrogen was observed because of the formation of amide. The enantiotopic protons at C-6 were distinguished in two distinct peaks at 2.84 and 3.02 ppm, while the H-7 proton signal appeared as a double doublet at 4.33 ppm. Other protons showed no notable differences, except for the imidazole protons, which exhibited large variations in chemical shift, depending on sample concentration and pH. Fc protons were anisotropic on the derivatized cyclopentadienyl ring, and two different signals were observed at 4.61 ppm and 4.40 ppm for H15, 18 and H16, 17, respectively. The five protons on the other cyclopentadienyl ring were equivalent and appeared as a single signal at 4.09 ppm. The 13C NMR spectrum of FcCAR clearly showed three peaks for the carbonyl carbons at low fields (173–177 ppm), corresponding to two amides and one carboxylic acid group.

Surface composition is a critical factor influencing the electrochemical sensitivity of carbon-based nanomaterials. Therefore, the elemental composition of the obtained samples (Table 1) was investigated using X-ray photoelectron spectroscopy (XPS) survey spectra (not shown). The slight increase in oxygen and nitrogen species in GCD confirms the successful derivatization of graphene with CD units, compared with G-Alk, as indicated by the increase in surface carbon oxidation and C–N bonds (Table 1 and Fig. 3). Moreover, a high degree of compositional uniformity in the GCD nanosystem was observed by evaluating atomic species at different points on the surface, confirming the efficacy of washing cycles in removing unbonded material from the platform surface.

Table 1 Surface elemental composition estimated by wide scan spectra and the percentage of carbon bonding configurations estimated by convolving the HR C 1s spectra
Sample C (%) O (%) N (%) S (%) C–C (%) C–OH/C–N (%) C–O–C (%) C[double bond, length as m-dash]O (%) OH–C[double bond, length as m-dash]O (%) π–π (%)
G-Alk 85.4 11.1 3.5 56.1 12.6 16.1 9.0 4.7 1.5
GCD (#1) 82.0 13.7 4.3 50.3 12.8 14.1 13.6 6.4 2.8
GCD (#2) 80.8 14.3 4.9 52.1 13.3 13.7 13.9 5.1 1.9



image file: d5ra03016a-f3.tif
Fig. 3 XPS C 1s high resolution spectra of the GCD sample deconvoluted using six Gauss–Lorentzian functions.

The derivatization of G-Alk with CDs was confirmed using Raman spectroscopy. The Raman spectra of G-Alk and GCD (Fig. 4a) show the typical bands of carbon-based materials, namely, the G and D bands centered at about 1660 cm−1 and 1380 cm−1, respectively. The broadening and shift of these bands toward a higher wavenumber are due to graphene plane functionalization (GCD), which induces a size reduction in-plane sp2 domains. Moreover, the derivatization of the graphene surface is proved by D and G band intensity decrease (Fig. 4a), together with the disappearance of the G* band and the second-order overtone 2D mode in the 2400–2700 cm−1 range (Fig. 4b).32,33


image file: d5ra03016a-f4.tif
Fig. 4 Raman spectra of G-Alk and GCD investigated samples (a and b). SEM images of G-Alk (c) and GCD (d).

The SEM images of G-Alk (Fig. 4c) and GCD (Fig. 4d) show well-defined edges and many thin layers of graphene. Particularly, homogeneous and quite smooth overlapped sheets are evident in the G-Alk sample, whereas GCD exhibits amorphous aggregates on the layer surface due to the functionalization with CDs.

To assess the formation of a supramolecular complex between the GCD system and FcCAR unit, XPS analysis was performed on the bare SPCE, SPCE modified with GCD (SPCE/GCD), and SPCE modified with GCD and FcCAR (SPCE/GCD/FcCAR). The evaluation of 4.0% Fe 2p amount in SPCE/GCD/FcCAR, which is related to the ferrocenyl fragment, supports the formation of the GCD-FcCAR complex. Particularly, the bands centered at 712.5 eV (Fe 2p1/2) and 724.5 eV (Fe 2p3/2) in SPCE/GCD/FcCAR are ascribed to Fc34,35 (Fig. 5). Additionally, the increase in N 1s and O 1s percentages (Table 2) from 4.4% and 11.3% in SPCE/GCD to 9.5% and 24.0% in SPCE/GCD/FcCAR, respectively, reflects the presence of the carnosine moiety, further confirming the derivatization of GCD with FcCAR.


image file: d5ra03016a-f5.tif
Fig. 5 XPS C 1s, N 1s, O 1s, and Fe 2p high resolution spectra of the SPCE/GCD/FcCAR sample.
Table 2 Surface elemental compositions of the different electrodes, SPCE, SPCE/GCD, and SPCE/GCD/FcCAR, as estimated by wide scan spectra
Electrodes C (%) O (%) N (%) Fe (%)
SPCE 85.8 14.2
SPCE/GCD 84.3 11.3 4.4
SPCE/GCD/FcCAR 62.5 24.0 9.5 4.0


2.2 Electrochemical investigation

Here, 1 μL of GCD dispersion in DMF (3 mg mL−1) was cast on the working electrode (WE) surface, and the modified SPCE (SPCE/GCD) was dried under a DMF atmosphere (80 °C). Then, the electrochemical response was evaluated through cyclic voltammetry (CV) using [Fe(CN)6]3− as the redox probe. Fig. 6A shows ∼30% amplification of the electrochemical signal by switching from the SPCE to SPCE/GCD. The enhanced electron transfer between potassium ferricyanide and the WE surface is due to the electrical conductivity of the GCD material, which demonstrates the deposition of the material on the electrode surface. However, it did not support further addition of the conductive material, indicating saturation. Voltammetric signals, in terms of anodic (Ea) and cathodic (Ec) potentials (vs. Ag/AgCl) and anodic (ia) and cathodic (ic) peak currents are as follows: for the SPCE, Ea = 0.216 V (ia = 15.21 μA) and Ec = 0.021 V (ic = −19.68 μA); for SPCE/GCD, Ea = 0.188 V (ia = 19.19 μA) and Ec = 0.030 V (ic = −28.73 μA). The slight shift in potential values (ΔEa = 0.028 V and ΔEc = 0.009 V) could be attributed to attractive interactions between the anionic [Fe(CN)6]3− and functional groups on the electrode surface of SPCE/GCD.
image file: d5ra03016a-f6.tif
Fig. 6 (A) CVs of [Fe(CN)6]3− (1 mmol L−1) in KCl (0.1 mol L−1) on bare SPCE (black line) and SPCE/GCD (red line). (B) CVs of FcCAR (0.5 mmol L−1) in KCl (0.1 mol L−1) vs. the scan rate (ν/V s−1) on SPCE/GCD.

The electrochemical behavior of FcCAR (0.5 mmol L−1) in KCl (0.1 mol L−1) on SPCE/GCD at 0.100 V s−1 was investigated and compared with that obtained on the bare SPCE. Fig. S3 shows the cyclic voltammograms of FcCAR on the SPCE and SPCE/GCD with a one-electron reversible redox process, similar to the one occurred on SPCE/CNT-CD.16 For SPCE/GCD, the Ea and Ec values are 0.395 V and 0.286 V (vs. Ag/AgCl), respectively. Comparing these potential values with those obtained on bare SPCEs, only Ec undergoes slight cathodic shift as a result of functionalization on the WE surface.

The electrochemical behavior of FcCAR was also studied at various scan rates (0.01 ≤ V s−1 ≤ 0.500) on SPCE/GCD (Fig. 6B). The relationship between the peak current (i) and scan rate (ν) provides information on whether the electrochemical process is controlled by adsorption or diffusion.36 Particularly, the ia and ic peak currents vary linearly with ν (Fig. S4, eqn (1) and (2)), indicating that the redox process is mainly controlled by adsorption:4,37

 
ia (μA) = 4.031ν (V s−1) + 8.081, R2 = 0.993 (1)
 
ic (μA) = −3.141ν (V s−1) + 2.452, R2 = 0.994 (2)

First, we analyzed the electrochemical behavior of SPCE/GCD/FcCAR. The voltammetric response of FcCAR in KCl (0.1 mol L−1) in the presence of Mn(II) (0.17 ≤ nmol L−1 ≤ 417) was evaluated via CV (at 0.100 V s−1, Fig. S5) and differential pulse voltammetry (DPV). While the potential values do not change in the presence of Mn(II), confirming that the Fc/Fc+ redox couple is the moiety responsible for the redox process, ia peak currents linearly decrease as the metal concentration increases. To highlight that the decrease in current is mediated by the ligand (FcCAR), in the same Fig. S5, the blank signal, i.e., the CV of SPCE/GCD/Mn, was also reported.

The ia values obtained through DPV were plotted vs. Mn(II) concentration, and the linear concentration range (0.17 ≤ nmol L−1 ≤ 48) is shown in Fig. 7. The limit of detection (LOD) and limit of quantification (LOQ) were determined using the 3σ s−1 and 10σ s−1 approaches,38 where σ is the standard of seven independent measurements of a blank sample, and s is the slope of the calibration plot (Fig. 7). The LOD and LOQ values were found to be 0.69 nmol L−1 and 2.3 nmol L−1, respectively, with a sensitivity of 0.20 μA nmol−1 L−1. Compared with other LOD values reported in the literature39–43 (Table 3), this system (SPCE/GCD/FcCAR) shows high performance in detecting Mn(II) in aqueous solutions. Reproducibility was 5.6%, expressed as relative standard deviation (RSD%) of three sets, each consisting of three consecutive DPV scans, performed on different SPCE/GCD on solutions containing FcCAR (0.5 mmol L−1) and Mn(II) (2.3 nmol L−1). Under the same conditions, accuracy was 94%, expressed as 100% − error rate (i.e., (average actual value − average predicted value)/average actual value × 100). The voltammetric response of SPCE/GCD/FcCAR remains almost constant for six months, highlighting the good storage stability and robustness of the drop-casting method used.


image file: d5ra03016a-f7.tif
Fig. 7 Linear range of the anodic (ia) peak currents of FcCAR vs. Mn(II) concentration (0.17 ≤ [Mn(II)]/nmol L−1 ≤ 48) on SPCE/GCD. The inset shows the respective DPV scans.
Table 3 Comparison with the literature data (type of electrode, linear range and LOD) reported over the past 10 years
Electrode Linear range LOD (nmol L−1) Ref.
SPCE/GCD/FcCAR 0.17–48 nmol L−1 0.69 This work
Pd 455 nmol L−1–10.9 μmol L−1 334.00 44
Pyrolytic graphite 12.3 nmol L−1–0.1 mol L−1 4.78 45
Pt 91–910 nmol L−1 16.30 46
Au 0.11–0.32 μmol L−1 31.00 47
Additive-manufactured electrode 9.1 nmol L−1–2.7 μmol L−1 1.60 48
GC 2.5–200 μg L−1 9.64 49
GC 1–7 μmol L−1 430.00 50
Pt 91 nmol L−1–1.82 μmol L−1 10.10 51
SPE/Au NPs/rGO/Fe3O4 NPs/L-cysteine 0.5–300 μg L−1, 62–1500 μg L−1 520.00, 23[thin space (1/6-em)]707.56 52
IIP/MWCNT-Chit-IL/GCE edge-plane pyrolytic graphite electrode 2–9 μmol L−1 150.00 53
Indium tin oxide 5–500 μg L−1 7.65 54
Gold electrodes 4640.00 55


3 Experimental

3.1 Materials and reagents

Potassium ferricyanide(III) (K3Fe(CN)6, ≥99%), potassium chloride (KCl, extra pure), manganese(II) chloride tetrahydrate (MnCl2·4H2O, ≥99%), hydrazine (N2H4), 4-nitrophenol, propargyl bromide solution, potassium carbonate (K2CO3), tin(II) chloride (SnCl2), sodium hydroxide (NaOH), sodium nitrite (NaNO2), hydrochloric acid 37% (HCl), copper sulfate (CuSO4), sodium ascorbate, ferrocenecarboxylic acid, N-hydroxysuccinimide (NHS), 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide (EDCI), silica, carnosine (CAR), sodium bicarbonate (NaHCO3) and other solvents employed were purchased from Sigma Aldrich. Graphene oxide was purchased from Graphenea. Mn(II) solutions were prepared by weighing and dissolving the respective salt in MOPS buffer containing 30 mmol L−1 3-(N-morpholino) propanesulfonic acid, 10 mmol L−1 sodium acetate, and 1 mmol L−1 ethylenediaminetetraacetic acid disodium salt (EDTA) and adjusting the pH to 7. These products were also purchased from Sigma Aldrich.

3.2 Instruments and characterizations

TGA was performed using a PerkinElmer TGA7 instrument with Pyris software (PerkinElmer) for data acquisition and analysis. Briefly, approximately 5 mg of each sample was placed in a platinum pan and kept at 50 °C in a nitrogen atmosphere (flow rate of 60 mL min−1) until thermal equilibrium was reached. The sample was then heated at a scan rate of 10 °C min−1 from 50 to 800 °C. A baseline, recorded under the same experimental conditions with an empty platinum pan, was subtracted from each thermogram prior to data analysis. The amount of the organic material loaded onto G-red was evaluated considering the weight loss of GCD and of the parent compounds (G-red and G-Alk) at 600 °C.

XPS spectra were acquired using the K-alpha system of Thermo Scientific, equipped with a monochromatic Al-Kα source (1486.6 eV), operating in the constant analyser energy (CAE) mode with a pass energy of 20 eV for high-resolution spectra and a spot size of 400 μm. The Avantage software-equipped K-alpha system was used to fit every core-level photoemission peak: Gauss–Lorentzian shape functions and a Shirley background were used to reproduce the experimental data.

Raman spectra were recorded with the XploRA (Horiba) spectrometer in the range 1000–2700 cm−1 using a diode laser (λ = 532 nm) as an excitation source integrated for 50 s and collected with a charge-coupled detector (CCD) using a microscope objective with a 50× focal length.

The morphology of the samples was examined by adding the suspensions dropwise onto a holey copper grid. Then, a drying step was performed in ambient air at room temperature. SEM micrographs were recorded at an accelerating voltage of 30 kV using a Zeiss Gemini 2 scanning electron microscope.

Freeze-drying was carried out using a Labconco FreeZone lyophilizer.

NMR spectra (1H, 13C) were recorded on a Varian 500 MHz spectrometer at 25 °C.

3.3 Synthesis of GCD

Alkyne-terminated graphene (G-Alk) was synthetized as reported in a previous study,28 and the amount of alkyne group grafted onto the graphene platform was determined via TGA to be ≈5 wt%, corresponding to ≈0.37 mmol g−1. Mono-6-deoxy-6-azido-β-cyclodextrin (CD) was obtained following the method described in a published study.29

G-Alk (270 mg, 0.175 mmol of the alkyne moiety) was dispersed in DMF (15 mL) via sonication. Then, CD (229.3 mg, 0.175 mmol), CuSO4 (28 mg, 0.175 mmol), and sodium ascorbate (45 mg, 0.227 mmol) were added, and the reaction was refluxed at 80 °C for 48 h under argon flow (Fig. 2A). The mixture was cooled to room temperature, diluted with Milli-Q-water (MqW), and centrifuged at 4500 rpm for 25 min. The precipitate was collected and resuspended in a MqW[thin space (1/6-em)]:[thin space (1/6-em)]MeOH (2[thin space (1/6-em)]:[thin space (1/6-em)]1) mixture and sonicated for 20 min, followed by an additional centrifugation step at 4500 rpm for 35 min. The washing step was repeated one more time. GCD was lyophilized, and 288 mg of the product was obtained. TGA analyses showed that the functionalization degree of GCD was approximately 5%, corresponding to 44 μmol g−1 of CD on G-red.

3.4 Synthesis of FcCAR

Ferrocenecarboxylic acid (1 g; 4.34 mmol), N-hydroxysuccinimide (NHS, 500 mg; 4.34 mmol), and 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide (EDCI, 850 mg; 5.47 mmol) were dissolved in anhydrous acetonitrile (5 mL) under an argon atmosphere. The solution was stirred at room temperature overnight. The solvent was removed via rotary evaporation, and the resulting mixture was purified via column chromatography using SiO2 as the stationary phase and dichloromethane (DCM) as the eluent, yielding 2,5-dioxopyrrolidin-1-yl ferrocenoate (1.16 g; 3.54 mmol; 82% yield). All spectroscopic data were consistent with those previously reported.56

A solution of ferrocenyl ester derivative (530 mg; 1.63 mmol) dissolved in dimethylformamide (DMF, 10 mL) was slowly added to a cold solution of carnosine (407 mg; 1.79 mmol) and sodium bicarbonate (NaHCO3, 126 mg; 1.49 mmol) in a 1[thin space (1/6-em)]:[thin space (1/6-em)]1 mixture of H2O/DMF (50 mL) under stirring. The reaction mixture was stirred at room temperature for 20 h. The crude product was purified through silica gel column chromatography using a gradient elution with DCM to DCM:methanol (MeOH, 1[thin space (1/6-em)]:[thin space (1/6-em)]1), resulting in the formation of ferrocenyle-carnosine (FcCAR) (536 mg, 75% yield) (Fig. 2C).

1H- and 13C-NMR analyses of FcCAR (Fig. S1 and S2) were performed in D2O on a Varian 500 MHz spectrometer.

1H-NMR (D2O, 500 MHz): δ 7.70 (s, 1H, H-2), 6.85 (s, 1H, H-4), 4.62–4.61 (m, 2H, H-15,18) 4.40 (s, 2H, H-16,17), 4.33 (dd, 1H, J = 4.6 Hz, J = 8.6 Hz, H-7), 4.09 (s, 5H, H-19-23), 3.39 (t, 2H, J = 6.3 Hz, H-11), 3.02 (dd, 1H, J = 15.4 Hz, J = 4.6 Hz, H-6), 2.84 (dd, 1H, J = 15.4 Hz, J = 8.6 Hz, H-6′), 2.45–2.41 (m, 2H, H-10).

13C-NMR (D2O, 125 MHz): δ 177.1, 173.8, 173.2, 134.3, 131.3, 116.8, 73.6, 71.5, 71.4, 70.0, 68.3, 68.2, 54.6, 48.8, 35.7, 35.2, 28.1.

3.5 Voltammetric equipment and measurements

All electrochemical measurements were performed in KCl (0.1 mol L−1) aqueous solutions using a PC-controlled electrochemical workstation with a three-electrode cell configuration (Metrohm DropSens screen-printed electrodes (SPEs), DRP-DSC4MM 72098), connected to a μAutolab potentiostat-galvanostat type III (EcoChemie) with an IME663 interface. Screen-printed carbon electrodes (SPCEs), consisting of carbon working and counter electrodes as well as Ag/AgCl reference electrodes, were used. The WE diameter and geometric area are 4 mm and 0.11 cm2, respectively. The electrode surface was modified through drop-casting 1 μL of a homogeneous dispersion of GCD in DMF (3 mg mL−1), obtained through probe sonication treatment (5 min, 50% power), and drying the modified SPCEs (SPCE/GCD) at 80 °C under a DMF atmosphere (for at least 1 h). Voltammograms were processed using General Purpose Electrochemical System (GPES) software, version 4.9 (EcoChemie B.V.). The voltammetric response of SPCE/GCD was assessed via CV using [Fe(CN)6]3− (1 mmol L−1) in KCl solution (0.1 mol L−1) and was performed from −0.3 V to +0.8 V (vs. Ag/AgCl) at 0.1 V s−1. The electrochemical behavior of FcCAR (0.5 mmol L−1) in KCl solution (0.1 mol L−1) was investigated at different scan rate values (0.010 ≤ V s−1≤ 0.500). The electrochemical activity of FcCAR was also studied in the presence of Mn(II) (0.17 ≤ nmol L−1 ≤ 417) using CV, performed at 0.100 V s−1 with a step potential of 0.010 V, and differential pulse voltammetry (DPV) with a potential step and amplitude of 0.010 V and 0.1 V, respectively. CV and DPV were carried out in the following potential range: −0.3 ≤ E/V vs. Ag/AgCl ≤ 0.8.

4 Conclusions

In the present work, we investigated the properties of a novel nanoassembled GCD/FcCAR system for the electrochemical detection of Mn(II). The adopted synthetic strategy for FcCAR gave a product with better purity compared with the one previously reported in the literature.17 GCD was synthesized via a multistep process involving the reduction of commercial GO, followed by treatment with the diazonium compound to introduce alkyne terminated groups onto the graphene surface (G-Alk). Subsequently, a click chemistry reaction was performed to covalently bond the graphene platform to CDs. The success of the synthetic route was confirmed via TGA, SEM, Raman spectroscopy, and XPS analysis. The working electrode (WE) surface of the SPCE was modified with GCD dispersion via drop-casting, and no “coffee-ring” effect was observed, giving a robust electroanalytical determination method. The electrochemical output of the modified electrode (SPCE/GCD) was studied through CV, using [Fe(CN)6]3− as the redox probe, and compared to the ones of the bare SPCE. The findings highlight an improvement in the peak current response (by 30%) of SPCE/GCD.

SPCE/GCD was modified with the FcCAR unit (SPCE/GCD/FcCAR), and the formation of the supramolecular complex was confirmed through XPS.

Additionally, the sensing properties of SPCE/GCD/FcCAR towards Mn(II) were studied using CV and DPV. The latter technique was employed to calculate the LOD and LOQ in the metal concentration range of 0.17 ≤ [Mn(II)]/nmol L−1 ≤ 48. The LOD and LOQ values were found to be 0.69 nmol L−1 and 2.3 nmol L−1, respectively, with a sensitivity of 0.20 μA nmol−1 L−1. The LOD value obtained is one of the lowest reported values in the literature.

The present results clearly demonstrate the good analytical performance of SPCE/GCD/FcCAR, making it a promising candidate for Mn(II) electrochemical detection in aqueous solutions. Further investigations will focus on the development and optimization of the analytical method in natural water samples.

Data availability

The data supporting this article have been included as part of the ESI.

Author contributions

Conceptualization: G. N., C. A., C. F., and A. P. Funding acquisition: G. N., M. C., and A. P. Investigation: C. A., G. N., M. A., M. C., P. G. M., E. F., C. C., and O. G. Formal analysis: C. A., M. C., P. G. M., E. F., and C. C. Supervision: C. F. and A. P. Writing – original draft: C. F. and G. N. Writing – review and editing: all authors.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

This work has been partially funded by the European Union (NextGeneration EU) through the MUR-PNRR project SAMOTHRACE (ECS00000022).

References

  1. R. N. Hegde and S. T. Nandibewoor, Anal. Lett., 2008, 41, 977–991 CrossRef CAS.
  2. R. Singh, R. Gupta, D. Bansal, R. Bhateria and M. Sharma, ACS Omega, 2024, 9, 7336–7356 CAS.
  3. H. Beitollahi, M. A. Khalilzadeh, S. Tajik, M. Safaei, K. Zhang, H. W. Jang and M. Shokouhimehr, ACS Omega, 2020, 5, 2049–2059 CrossRef CAS PubMed.
  4. R. H. Patil, R. N. Hegde and S. T. Nandibewoor, Colloids Surf., B, 2011, 83, 133–138 CrossRef CAS PubMed.
  5. R. D. Crapnell and C. E. Banks, ChemElectroChem, 2024, 11, e202400370 CrossRef CAS.
  6. A.-M. I. Mohamed, A. H. Rageh, F. A. M. Abdel-aal and A.-M. B. H. Ali, Electroanalysis, 2020, 32, 635–647 CrossRef CAS.
  7. H. Karimi-Maleh, H. Beitollahi, P. Senthil Kumar, S. Tajik, P. Mohammadzadeh Jahani, F. Karimi, C. Karaman, Y. Vasseghian, M. Baghayeri, J. Rouhi, P. L. Show, S. Rajendran, L. Fu and N. Zare, Food Chem. Toxicol., 2022, 164, 112961 CrossRef CAS.
  8. B. Amna and T. Ozturk, J. Mater. Chem. C, 2025, 13, 8354–8424 RSC.
  9. A. O. Alqarni, A. M. Mahmoud, B. A. Alyami, M. M. El-Wekil and A.-M. B. H. Ali, Microchem. J., 2023, 195, 109486 CrossRef CAS.
  10. A. Z. Alanazi, K. Alhazzani, A. M. Mostafa, J. Barker, S. H. Mohamed, M. M. El-Wekil and A.-M. B. H. Ali, Microchem. J., 2023, 194, 109330 CrossRef CAS.
  11. G. Maduraiveeran and W. Jin, Mater. Sci. Eng., C, 2021, 272, 115341 CrossRef CAS.
  12. A. Piperno, A. Mazzaglia, A. Scala, R. Pennisi, R. Zagami, G. Neri, S. M. Torcasio, C. Rosmini, P. G. Mineo, M. Potara, M. Focsan, S. Astilean, G. G. Zhou and M. T. Sciortino, ACS Appl. Mater. Interfaces, 2019, 11, 46101–46111 CrossRef CAS.
  13. R. Liu, B. Li, F. Li, V. Dubovyk, Y. Chang, D. Li, K. Ding, Q. Ran, G. Wang and H. Zhao, Food Chem., 2022, 384, 132573 CrossRef CAS PubMed.
  14. L. Gao and C. He, Environ. Sci. Pollut. Res., 2021, 28, 59499–59518 Search PubMed.
  15. L. Fritea, M. Tertiş, C. Cristea and R. Săndulescu, Electroanalysis, 2023, 35, e202200014 Search PubMed.
  16. C. Abate, G. Neri, A. Scala, P. G. Mineo, E. Fazio, A. Mazzaglia, A. Fragoso, O. Giuffrè, C. Foti and A. Piperno, ACS Appl. Nano Mater., 2023, 6, 17187–17195 Search PubMed.
  17. C. Abate, A. Piperno, A. Fragoso, O. Giuffrè, A. Mazzaglia, A. Scala and C. Foti, Dalton Trans., 2023, 52, 3699–3708 RSC.
  18. A. Ambrosi, C. K. Chua, N. M. Latiff, A. H. Loo, C. H. A. Wong, A. Y. S. Eng, A. Bonanni and M. Pumera, Chem. Soc. Rev., 2016, 45, 2458–2493 RSC.
  19. X. Hu, J. Wang, C. Feng, J. Yuan, Q. Wei and H. Wang, J. Mater. Chem. C, 2025, 13, 1573–1591 RSC.
  20. W. Liang, Y. Rong, L. Fan, W. Dong, Q. Dong, C. Yang, Z. Zhong, C. Dong, S. Shuang and W.-Y. Wong, J. Mater. Chem. C, 2018, 6, 12822–12829 RSC.
  21. A. R. Urade, I. Lahiri and K. S. Suresh, JOM, 2023, 75, 614–630 CrossRef CAS PubMed.
  22. W. Yu, L. Sisi, Y. Haiyan and L. Jie, RSC Adv., 2020, 10, 15328–15345 RSC.
  23. X. Li, L. Fu, F. Chen, Y. Lv, R. Zhang, S. Zhao and H. Karimi-Maleh, Anal. Methods, 2025, 17, 4300–4320 RSC.
  24. S. Haque, S. Tripathy and C. R. Patra, Nanoscale, 2021, 13, 16405–16426 RSC.
  25. G. Magro, V. Laterza, F. Tosto and A. Torrente, J. Xenobiot., 2025, 15, 54 CrossRef CAS PubMed.
  26. E. S. Aydin, B. T. Zaman, H. Serbest, F. Kapukiran, F. Turak and S. Bakirdere, J. Food Compos. Anal., 2022, 114, 104833 CrossRef CAS.
  27. R. D. Crapnell and C. E. Banks, Sens. Actuators Rep., 2022, 4, 100110 CrossRef.
  28. G. Neri, A. Scala, F. Barreca, E. Fazio, P. G. Mineo, A. Mazzaglia, G. Grassi and A. Piperno, Chem. Commun., 2015, 51, 4846–4849 RSC.
  29. T. T. Nielsen, V. Wintgens, C. Amiel, R. Wimmer and K. L. Larsen, Biomacromolecules, 2010, 11, 1710–1715 CrossRef CAS.
  30. K. Si, C. Sun, S. Cheng, Y. Wang and W. Hu, Anal. Methods, 2018, 10, 3660–3665 RSC.
  31. C. Abate, D. Aiello, M. Cordaro, O. Giuffrè, A. Napoli and C. Foti, J. Mol. Liq., 2022, 368, 120772 CrossRef CAS.
  32. T. A. Nguyen, J.-U. Lee, D. Yoon and H. Cheong, Sci. Rep., 2014, 4, 4630 Search PubMed.
  33. G. Neri, A. Scala, E. Fazio, P. G. Mineo, A. Rescifina, A. Piperno and G. Grassi, Chem. Sci., 2015, 6, 6961–6970 RSC.
  34. A. Rabti, C. C. Mayorga-Martinez, L. Baptista-Pires, N. Raouafi and A. Merkoçi, Anal. Chim. Acta, 2016, 926, 28–35 CrossRef CAS.
  35. L. Fan, Q. Zhang, K. Wang, F. Li and L. Niu, J. Mater. Chem., 2012, 22, 6165–6170 RSC.
  36. Y. Patiño, S. Pilehvar, E. Díaz, S. Ordóñez and K. De Wael, J. Hazard. Mater., 2017, 323, 621–631 CrossRef PubMed.
  37. A. Afkhami, H. Ghaedi, T. Madrakian, D. Nematollahi and B. Mokhtari, Talanta, 2014, 121, 1–8 CrossRef CAS.
  38. H. Hrichi, L. Monser and N. Adhoum, J. Electroanal. Chem., 2017, 805, 133–145 CrossRef CAS.
  39. R. D. Crapnell and C. E. Banks, Sens. Acutators Rep., 2022, 4, 100110 Search PubMed.
  40. W. Yue, A. Bange, B. L. Riehl, B. D. Riehl, J. M. Johnson, I. Papautsky and W. R. Heineman, Electroanalysis, 2012, 24, 1909–1914 CrossRef CAS PubMed.
  41. B. Rezaei, M. Ghiaci and M. E. Sedaghat, Sens. Actuators, B, 2008, 131, 439–447 CrossRef CAS.
  42. C. E. Banks, J. Kruusma, R. R. Moore, P. Tomčík, J. Peters, J. Davis, Š. Komorsky-Lovrić and R. G. Compton, Talanta, 2005, 65, 423–429 CrossRef CAS PubMed.
  43. F. Wantz, C. E. Banks and R. G. Compton, Electroanalysis, 2005, 17, 655–661 CrossRef CAS.
  44. W. Kang, X. Pei, A. Bange, E. N. Haynes, W. R. Heineman and I. Papautsky, Anal. Chem., 2014, 86, 12070–12077 CrossRef CAS.
  45. M. K. Sahani, A. K. Singh and A. K. Jain, Mater. Sci. Eng., C, 2015, 50, 124–132 CrossRef CAS PubMed.
  46. W. Kang, C. Rusinek, A. Bange, E. Haynes, W. R. Heineman and I. Papautsky, Electroanalysis, 2017, 29, 686–695 CrossRef CAS.
  47. J. F. S. Joca, F. S. Felix and L. Angnes, Anal. Lett., 2020, 53, 1075–1086 CrossRef CAS.
  48. D. P. Rocha, C. W. Foster, R. A. A. Munoz, G. A. Buller, E. M. Keefe and C. E. Banks, Analyst, 2020, 145, 3424–3430 RSC.
  49. Z. Lai, F. Lin, L. Qiu, Y. Wang, X. Chen and H. Hu, Talanta, 2020, 211, 120752 CrossRef CAS.
  50. Y. Pei, J. F. McLeod, S. J. Payne and Z. She, Electrocatalysis, 2021, 12, 176–187 CrossRef CAS.
  51. E. Boselli, Z. Wu, A. Friedman, B. Claus Henn and I. Papautsky, Environ. Sci. Technol., 2021, 55, 7501–7509 CrossRef CAS PubMed.
  52. C. Mc Eleney, S. Alves and D. Mc Crudden, J. Electroanal. Chem., 2021, 900, 115734 CrossRef CAS.
  53. M. Roushani, Z. Saedi, F. Hamdi and B. Z. Dizajdizi, J. Electroanal. Chem., 2017, 804, 1–6 CrossRef CAS.
  54. Z. Wu, W. R. Heineman, E. N. Haynes and I. Papautsky, J. Electrochem. Soc., 2022, 169, 057508 CrossRef CAS.
  55. N. Lamothe, K. Elliott, Y. Pei, Y. Shi, K. Macdonald, S. J. Payne and Z. She, Electrocatalysis, 2024, 15, 353–362 CrossRef CAS.
  56. I. Lavastre, J. Besançon, P. Brossiert and C. Moise, Appl. Organomet. Chem., 1991, 5, 143–149 CrossRef CAS.

Footnote

Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d5ra03016a

This journal is © The Royal Society of Chemistry 2025
Click here to see how this site uses Cookies. View our privacy policy here.