Next Article in Journal
The Characterization of Binding between Aptamer and Bisphenol A and Developing Electrochemical Aptasensors for Bisphenol A with Rationally Engineered Aptamers
Next Article in Special Issue
SnO2QDs Deposited on GO/PPy-Modified Glassy Carbon Electrode for Efficient Electrochemical Hydrogen Peroxide Sensor
Previous Article in Journal
Glucose Incorporated Graphite Matrix for Electroanalysis of Trimethoprim
Previous Article in Special Issue
A High-Performance Self-Supporting Electrochemical Biosensor to Detect Aflatoxin B1
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Biosensors
Volume 12
Issue 11
10.3390/bios12110912
biosensors-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Simple Preparation and Characterization of Hierarchical Flower-like NiCo2O4 Nanoplates: Applications for Sunset Yellow Electrochemical Analysis

by
Hadi Beitollahi
1,*,
Somayeh Tajik
2,
Zahra Dourandish
1 and
Fariba Garkani Nejad
1
1
Environment Department, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman P.O. Box 76318-85356, Iran
2
Research Center of Tropical and Infectious Diseases, Kerman University of Medical Sciences, Kerman P.O. Box 76169-13555, Iran
*
Author to whom correspondence should be addressed.
Biosensors 2022, 12(11), 912; https://doi.org/10.3390/bios12110912
Submission received: 8 September 2022 / Revised: 7 October 2022 / Accepted: 14 October 2022 / Published: 22 October 2022
(This article belongs to the Special Issue Role of Electrochemical Biosensors within Sustainable Food Chains and Food Safety)
Browse Figures
Versions Notes

Abstract

:
The current work was performed to construct a novel electrochemical sensing system for determination of sunset yellow via the modification of screen-printed graphite electrode modified with hierarchical flower-like NiCo2O4 nanoplates (NiCo2O4/SPGE). The prepared material (hierarchical flower-like NiCo2O4 nanoplates) was analyzed by diverse microscopic and spectroscopic approaches for the crystallinity, composition, and morphology. Chronoamperometry, differential pulse voltammetry, linear sweep voltammetry, and cyclic voltammetry were used for determination of the electrochemical behavior of sunset yellow. The as-fabricated sensor had appreciable electro-catalytic performance and current sensitivity in detecting the sunset yellow. There were some advantages for NiCo2O4/SPGE under the optimized circumstances of sunset yellow determination, including a broad dynamic linear between 0.02 and 145.0 µM, high sensitivity of 0.67 μA/(μM.cm2), and a narrow limit of detection of 0.008 μM. The practical applicability of the proposed sensor was verified by determining the sunset yellow in real matrices, with satisfactory recoveries.

1. Introduction

Food additives applied in processed foodstuff can normally improve some features such as flavor, appearance, color, taste, nutritive value, preservation, and texture [1]. Color has always encouraged consumers to buy a food product, usually because of the mere fact that it is visual at the first sight. A buyer can be affected negatively or positively by colors. In the food industry, natural dyes in food products can be intensified or preserved using food dyes. The pharmaceutical industry also exploits edible coloring to create a different look in their products. The edible colors can be natural or synthetic. Natural dyes originate from animal or plant sources, by extraction through physical techniques such as riboflavin. The natural color of the edible products may be lost during various stages including heating, processing, storage, and distribution. Synthetic dyes are composed of artificially synthesized organic and inorganic compounds. Among these, a special place in food industry has been established for the synthetic colorants as good alternatives to natural dyes because of appreciable merits such as long-lasting stability, easy coloring, minimal microbiological and chemical or physical contamination [2,3]. Azo dyes with a broad spectrum of colors owing to a unique chemical structure account for about 65% of the commercial dye market around the world [4,5]. Disodium 2-hydroxy-1-(4-sulphonatophenylazo) naphthalene-6-sulphonate, or sunset yellow, as a widely used synthetic azo dye can be found in various beverages, foods, medicines, colorings, and cosmetics, which is cost-effective with stable structure and bright color [6,7,8]. The allowance limit of sunset yellow as food additive must be ˂50 ppm [9]. Hence, doses exceeding this limit can be associated with complications such as kidney failures, attention deficit hyperactivity disorder (ADHD), hepatocellular damage, cancers, and headache [10,11]. Accordingly, there have been various analytical approaches for sensing and quantifying the sunset yellow in food matrices, some of which are coupling ionic liquid-based aqueous two-phase systems (IL-ATPSs) with high performance liquid chromatography (HPLC) [12], reversed-phase ion pair high-performance liquid chromatography [13], spectrophotometry [14], HPLC/mass spectrometry (HPLC–MS) [15], ion-pair liquid chromatography with on-line photodiode-array and electrospray mass spectrometry [16], capillary electrophoresis [17], and high-performance thin-layer chromatographic combined with image processing of scanned chromatograms [18]. However, their use is often limited due to reasons such as being expensive, time-consuming, or requiring tedious pretreatment.
Among these, electrochemical analysis has had special place in determining the bioactive molecules, nutrients, drugs, contaminants, and food additives owing to cost-effectiveness, facile use, rapidity, high sensitivity and selectivity [19,20,21,22,23,24,25,26,27,28,29,30,31,32,33], thereby making them a good alternative to the above-mentioned techniques. There are several conventional solids (such as glassy carbon, carbon paste, and gold) or disposable electrodes (such as screen-printed electrodes or SPEs) to construct the electrochemical sensors. Special attention in the field of electroanalytical research has recently been drawn to SPEs in the manufacture of (bio) sensors. The SPEs are appropriate electrochemical transducers because of high sensitivity, ease of use, and cost-effective properties when comparing with conventional diagnostics [34,35,36,37,38]. Such devices possess a miniaturized system consisting of the working, auxiliary, and reference electrodes. Hence, there is a need for the small volume of solution for electrochemical determination, which is indeed interesting in terms of green chemistry [39,40]. Chemically modified electrodes (CMEs) are the result of the intentional fixation of a modifying agent on the surface of electrode by various physical and chemical methods [41,42]. Many studies have shown that improvements in the sensitivity and selectivity of electrochemical sensors are achieved due to modifications of the electrode surface [43,44]. Nanomaterial-supported electrochemical sensing systems have been considered by many researchers due to their capability for carrying out the electrochemical analysis of diverse analytes [45]. The electrode surface modification using diverse nanostructures can enhance the analyte-specific electrochemical reactivity and sensitivity [46,47].
Nanomaterials and their applications in various fields have become a distinct and active area of scientific and technological developments over the recent years [48,49,50,51,52,53,54,55,56]. In this regard, the metal oxide nanoparticles are applied extensively in some fields such as energy production, food technology and preservative, medicine, catalysis and electrocatalysis because of intrinsic redox features and morphological and structural flexibility [57,58,59,60,61]. One of the best electrode modifiers is binary transition-metal oxide because of superior resistance to deactivation, appreciable selectivity, and high catalytic performance [62,63]; for example, NiCo2O4 nanostructures are mixed-metal oxides successful for sensors owing to electrochemical catalytic performance, high biocompatibility, commendable electronic conductivity, non-toxicity, and low cost. NiCo2O4 has greater electronic conductivity and electrochemical performance when comparing with cobalt and nickel oxides. The synergic impact of nickel and cobalt elements in NiCo2O4 provides a richer diversity of redox reactions when comparing with the monometallic NiO and Co3O4 [64,65,66]. Accordingly, NiCo2O4 is considered as an electrochemical material but still suffers from some problems with improvement in a small surface area, pore size, and intrinsically poor electro-conductivity [67]. Such bottlenecks can be circumvented by using materials based on two-dimensional or sheet-like morphology owing to the merits associated with large pore size, high surface area, short paths, and fast reaction kinetics for redox process [68,69]. Thus, 2D or sheet-like NiCo2O4 can serve as an electrode material for the fabrication of electrochemical sensors.
The current work was performed to fabricate hierarchical flower-like NiCo2O4 nanoplates by a facile method and to characterize their structure and morphology by diverse techniques. Then, the as-produced nanoplates were used to modify the SPGE surface to construct a new sunset yellow sensor (NiCo2O4/SPGE). The resulting modified electrode (NiCo2O4/SPGE) had a great sensitivity towards the sunset yellow, possessing a narrow limit of detection (LOD) and a broad linear range. The analytical performance and practical applicability of proposed sensor was determined by sensing sunset yellow in real food specimens.

2. Experimental

2.1. Equipments

A Metrohm Autolab PGSTAT 320N Potentiostat/Galvanostat Analyzer (Herisau, Switzerland) with GPES (General Purpose Electrochemical System-version 4.9) software was applied for all electrochemical determinations at ambient temperature. Cyclic voltammetry (CV), Chronoamperometry (CA), differential pulse voltammetry (DPV) and linear sweep voltammetry (LSV) were employed to characterize the electro-analytical performance of the modified electrode toward sunset yellow. The electrochemical sensors were prepared by DRP-110 SPEs (DropSens, Oviedo, Spain) including a silver pseudo-reference electrode, graphite working electrode, and graphite auxiliary electrode. A Metrohm 713 pH-meter with glass electrode (Metrohm AG, Herisau, Switzerland) was used to determine and adjust the pH of the solution.
A Panalytical X’Pert Pro X-ray diffractometer (Almelo, The Netherlands) applying a Cu/Kα radiation (λ:1.54 Å) was used for X-ray diffraction (XRD) analysis and a Bruker Tensor II spectrometer (Bruker, Karlsruhe, Germany) was employed to capture the Fourier transform-infrared (FT-IR) spectra. A MIRA3 scanning electron microscope (Tescan, Brno, Czech Republic) coupled with an X-ray spectroscopy (EDS) detector was utilized for field emission-scanning electron microscopy (FE-SEM) images and elemental analysis.

2.2. Solvents and Chemicals

All solvents and chemicals applied in our protocol had analytical grade belonging to Merck and Sigma-Aldrich. Phosphate buffer solution (PBS) was prepared by phosphoric acid and adjusted by NaOH to the desired pH value.

2.3. Preparation of Hierarchical Flower-like NiCo2O4 Nanoplates

The protocol proposed by Chu et al., with slight modification, was followed to construct hierarchical flower-like NiCo2O4 nanoplates [70]. Thus, Ni(NO3)26H2O (0.5 mmol, 0.145 gr), Co(NO3)26H2O (1 mmol, 0.291 gr), NH4F (3 mmol, 0.111 gr), and urea (7.5 mmol, 0.45 gr) were dispersed in deionized water (40 mL) while stirring for 40 min until reaching a clear pink solution, followed by placing in a Teflon-lined stainless steel autoclave for three hours at 120 °C. After cooling down to the laboratory temperature, the collected precipitate was rinsed thoroughly with deionized water and oven-dried for 12 h at 65 °C. At last, the obtained product was annealed at 350 °C for 150 min.

2.4. Preparation of the NiCo2O4/SPGE Sensor

A drop-casting technique was followed to fabricate the NiCo2O4/SPGE (Scheme 1). Thus, a certain amount of as-prepared flower-like NiCo2O4 nanoplates (1 mg) was subsequently dispersed in deionized water (1 mL) under 20-min ultra-sonication. Then, the well-dispersed suspension (5 µL) was coated on the SPGE surface in a dropwise manner and dried at the laboratory temperature. The electrochemical surface areas of the NiCo2O4/SPGE and the SPGE were obtained by CV using 1 mM K3Fe(CN)6 at various scan rates. The electro-active surface area of the modified electrode and un-modified electrode were evaluated by using the Randles–Sevcik equation. The calculated electro-chemical active surface area is 0.15 cm2, for the NiCo2O4/SPGE and 0.02 cm2 for the bare SPGE.

2.5. Real Sample Preparation

Orange juice and apple juice were purchased from a local market. The fruit juice samples were centrifuged for 40 min at 400 rpm and then filtered. The obtained juice was diluted by PBS (pH = 7.0) and then used for real sample analysis. Moreover, the tap water specimens were filtered prior to analysis using the standard addition method.

3. Results and Discussion

3.1. Characterization of Hierarchical Flower-like NiCo2O4 Nanoplates

The hierarchical flower-like NiCo2O4 nanoplates were explored for structure and morphology using FE-SEM images (Figure 1). The self-assembly of 2D NiCo2O4 nanoplates around a center resulted in the formation of hierarchical flower-like NiCo2O4 nanostructures. The FE-SEM image at high magnification shows the thickness of ˂60 nm for the produced nanoplates.
Figure 2 shows the EDS analysis in determining the chemical composition of the hierarchical flower-like NiCo2O4 nanoplates, the findings of which display Ni, Co, and O elements present in the structure, with no impurity.
Figure 3 illustrates the XRD pattern to explore the crystal phase of hierarchical flower-like NiCo2O4 nanoplates. The diffraction peaks at 2θ values (indexed to related plane) of 18.9° (111), 31.1° (220), 36.6° (311), 38.5° (222), 44.5° (400), 55.2° (422), 59.0° (511), 64.9° (440), and 77.1° (533) corresponded to the JCPDS standard pattern of NiCo2O4 (No. 01-073-1702). The distinct crystalline nature is evident based on the intense and sharp diffraction peaks. The absence of extraneous peaks can confirm great purity of as-fabricated NiCo2O4.
The production of NiCo2O4 was further confirmed via FT-IR spectrum (Figure 4). As seen, the peaks at 3456 and 1638 cm−1 were related to the characteristic hydroxyl stretching and bending vibrations in the adsorbed H2O [71]. The peaks at 557 and 641 cm−1 corresponded to metal–oxygen bond vibrations in the NiCo2O4 [72].

3.2. Electrochemical Characteristics of the Modified Electrode

The electrochemical properties of the modified electrodes were studied by CV in the presence of [Fe(CN)6]3−/4− (Figure 5). Obviously, a pair of well-shaped and symmetrical redox peaks occurred at all electrodes, demonstrating that the redox behavior of FeIII/FeII corresponded to a quasi-reversible process. At bare SPGE, a pair of relative weak redox peaks (Ipa = 64 μA; Ipc = −64 μA) appeared at 0.35 and 0.115 V, respectively. After modification of SPGE by NiCo2O4 nanoplates, the Ipa and Ipc increased to 209 and −209 μA while the peak separation (ΔEp) decreased from 0.235 to 0.105 V.

3.3. Influence of pH on Electrochemical Behavior of Sunset Yellow

The electrochemical response of sunset yellow in the 0.1 M PBS adjusted to variable pH values (2.0 to 9.0) was explored to determine the influence of the electrolyte solution pH (Figure 6). The results showed that the peak current of sunset yellow oxidation depended on the pH value, so that it reached a maximum with increasing pH up to 7.0 and then decreased with further pH values. Hence, the pH value of 7.0 was considered to be the optimum for subsequent electrochemical determinations (Figure 6, inset). Since the equal amount of proton and electron participates in the redox process, the electrochemical reaction of sunset yellow is 1 electron and 1 proton process. Hence, the electrochemical mechanism of sunset yellow on the NiCo2O4/SPGE can be inferred from Scheme 2.

3.4. Electrochemical Response of Sunset Yellow at Various Electrodes

The CVs were captured for the sunset yellow (100.0 μM) electrochemical reaction on the bare SPGE and NiCo2O4-modified SPGE to explore the electrocatalytic performance of the hierarchical flower-like NiCo2O4 nanoplates (Figure 7). Figure 7 illustrates the weak oxidation peak on the bare SPGE (Ipa = 3.1 μA), whereas NiCo2O4-modified SPGE had a significant improvement in the current (Ipa = 10.5 μA). This significant improvement in the oxidation peak can appear because of the appreciable catalytic impact of hierarchical flower-like NiCo2O4 nanoplates for the sunset yellow electrochemical reaction.

3.5. Effect of Scan Rate

The LSVs were captured for the oxidation of sunset yellow (60.0 μM) on the NiCo2O4/SPGE under variable scan rates (Figure 8). There was an apparent gradual elevation in the oxidation peak when the scan rate ranged from 10 to 300 mV/s. As seen in Figure 8 (Inset), the anodic peak current (Ipa) had a linear association with the square root of the scan rate (ν1/2). The regression equation was obtained to be Ipa (µA) = 1.0663 ν1/2 (mV s−1)1/2–1.3594 (R2 = 0.9995), meaning a controlled diffusion process of the sunset yellow oxidation on the NiCo2O4/SPGE (Figure 8, Inset A). In addition, the variation of the logarithm of the current as a function of the variation in the logarithm of the scan rate showed a linear behavior that showed the controlled diffusion process of the sunset yellow oxidation on the NiCo2O4/SPGE (Figure 8, Inset B).
A Tafel plot (Figure 9 (Inset)) was achieved on the basis of data related to the rising domain of the current–voltage curve at a low scan rate (10 mV/s) for sunset yellow (60.0 μM) to explore the rate-determining step. The linearity of E vs. log I plot clarifies the involvement of electrode process kinetics. The slope from this plot could present the count of transferred electrons during the rate-determining step. Based on Figure 9 (inset), the Tafel slope was estimated to be 0.1309 V for the linear domain of the plot. The slope of the Tafel plot was equal to 2.3RT/n(1−α)F, and the Tafel slope based on Figure 9 (inset) was estimated to be 0.1309 V for the linear domain of the plot. The Tafel slope value reveals that the rate-limiting step is the one-electron transfer process, considering a transfer coefficient (α) of 0.55.

3.6. Chronoamperometric Analysis

Chronoamperometry was used to explore the sunset yellow catalytic oxidation on the NiCo2O4/SPGE surface. Chronoamperometric analysis was done for variable sunset yellow contents on NiCo2O4/SPGE at the working electrode potential of 740 mV. The chronoamperograms captured for variable sunset yellow contents on the NiCo2O4/SPGE can be seen in Figure 10. Cottrell’s equation explains the current (I) for electrochemical reaction of an electroactive material with a D value (diffusion coefficient) under a mass transport-limited condition. Figure 10A shows a linear relationship of the I value with t−12 for the oxidation of variable sunset yellow contents. The slopes from the obtained straight lines were plotted against variable sunset yellow contents (Figure 10B). The plotted slope and Cottrell equation (I = nFAD1/2Cbπ−1/2t−1/2) estimated the D value to be 9.2 × 10−5 cm2/s for sunset yellow. The mean D value in this work is comparable with the results published in other papers [73,74].

3.7. DPV Analysis of Sunset Yellow

DPV analysis was done for variable sunset yellow contents to explore the linear dynamic range, LOD, and sensitivity of the NiCo2O4/SPGE under optimized experimental circumstances (Figure 11). As expected, the elevation in the sunset yellow level enhanced the peak current. Figure 11 (Inset) shows a linear behavior of the oxidation peak currents and variable sunset yellow contents (0.02 μM to 145.0 μM) with the linear regression equation of Ipa (μA) = 0.1009Csunset yellow+0.4534 (R2 = 0.9999), and the sensitivity of 0.67 μA/(μM.cm2). In the equations of LOD = 3Sb/m and LOQ = 10Sb/m, the Sb stands for the standard deviation of the response for blank solution, and m for the slope from the standard graph. The LOD and LOQ were estimated at 0.008 and 0.024 μM for sunset yellow determination on NiCo2O4/SPGE.
Table 1 compares the efficiency of the sunset yellow sensor prepared by the hierarchical flower-like NiCo2O4 nanoplates-modified SPGE and other reported works [1,75,76,77,78,79].

3.8. Repeatability, Reproducibility, and Stability

The NiCo2O4/SPGE was examined for repeatability through the measurement of the response of 50.0 μM sunset yellow on the surface of the same electrode for 10 times. The relative standard deviation (RSD) of 3.4% for the current response of sunset yellow demonstrates the good repeatability of the proposed electrode.
To test the reproducibility, five NiCo2O4/SPGEs produced by the same procedures were applied to measure 50.0 µM sunset yellow under identical circumstances; the obtained RSD of 5.9% meant commendable reproducibility (Figure 12).
To test the NiCo2O4/SPGE stability, the current responses of 50.0 μM sunset yellow were measured following 14-day storage of the sensor at ambient temperature. The decrease in the peak current of sunset yellow to 95.8% of its original response demonstrated appreciable stability.

3.9. Interference Studies

The anti-interference of the NiCo2O4/SPGE was evaluated by measuring the DPV responses of 50.0 µM sunset yellow with diverse interference matrices. The tolerance limit was defined as the maximum concentration of the interfering substance that caused an approximately ±5% relative error in the determination. It was found that 200-fold Ca2+, NH4+, Mn2+, Al3+, Fe3+, Zn2+, Br−, Mg2+, SO4 2−, and CO32− and 20-fold starch, sucrose, uric acid, glucose, vitamin B6, vitamin B2, dopamine, citric acid, and ascorbic acid had no effect on the determination of the sunset yellow. Hence, the proposed sensor has a good selectivity for sunset yellow.

3.10. Analysis of Real Specimens

The practical applicability of NiCo2O4/SPGE was tested by sensing sunset yellow in orange juice, apple juice, and tap water specimens using the DPV procedure and the standard addition method. The results can be seen in Table 2. The recovery rate was between 96.4% and 104.0%, and all RSD values were ≤3.5%. According to the experimental results, the NiCo2O4/SPGE sensor possessed a high potential for practical applicability.

4. Conclusions

The current attempt was made to construct an effective electrochemical sensing system for detection of sunset yellow via the modification of SPGE with hierarchical flower-like NiCo2O4 nanoplates (NiCo2O4/SPGE sensor). The proposed sensor was constructed by a facile and effective drop-casting protocol. Large surface area, high catalytic activity, and great conductivity of flower-like NiCo2O4 nanoplates provided a good catalytic activity for the NiCo2O4/SPGE towards the sunset yellow with increased peak current of oxidation and reduced overpotential of oxidation. Electrochemical determinations presented appreciable performance for the modified electrode in the sunset yellow detection at the pH value of 7.0. The as-fabricated NiCo2O4/SPGE had outstanding analytical response for the sunset yellow detection in a broad linearity range from 0.02 µM to 145.0 µM with a commendable sensitivity of 0.67 μA/(μM.cm2) and the LOD as low as 0.008 µM. The practical applicability of the proposed sensor was verified by determining sunset yellow in real matrices, with satisfactory results. The proposed method could be applied to food quality control, and presents a rapid, inexpensive, and environmental-friendly alternative to separation methods.

Author Contributions

Conceptualization, H.B.; methodology, S.T. and Z.D.; formal analysis, S.T. and F.G.N.; investigation, H.B.; writing—original draft preparation, H.B., S.T., Z.D. and F.G.N.; writing—review and editing, H.B., S.T., Z.D. and F.G.N.; supervision, H.B.; project administration, H.B.; funding acquisition, H.B. All authors have read and agreed to the published version of the manuscript.

Funding

Authors acknowledge the financial support provided for this project (No. 7.S.01.1020) by the Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding authors.

Acknowledgments

The authors acknowledge the financial support provided for this project (No. 7.S.01.1020) by the Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Magerusan, L.; Pogacean, F.; Coros, M.; Socaci, C.; Pruneanu, S.; Leostean, C.; Pana, I.O. Green methodology for the preparation of chitosan/graphene nanomaterial through electrochemical exfoliation and its applicability in Sunset Yellow detection. Electrochim. Acta 2018, 283, 578–589. [Google Scholar] [CrossRef]
  2. Karimi-Maleh, H.; Beitollahi, H.; Kumar, P.S.; Tajik, S.; Mohammadzadeh-Jahani, P.; Karimi, F.; Zare, N. Recent advances in carbon nanomaterials-based electrochemical sensors for food azo dyes detection. Food Chem. Toxicol. 2022, 164, 112961. [Google Scholar] [CrossRef] [PubMed]
  3. Wang, J.; Yang, B.; Wang, H.; Yang, P.; Du, Y. Highly sensitive electrochemical determination of Sunset Yellow based on gold nanoparticles/graphene electrode. Anal. Chim. Acta 2015, 893, 41–48. [Google Scholar] [CrossRef] [PubMed]
  4. Tahtaisleyen, S.; Gorduk, O.; Sahin, Y. Electrochemical determination of sunset yellow using an electrochemically prepared graphene oxide modified–pencil graphite electrode (EGO-PGE). Anal. Lett. 2021, 54, 394–416. [Google Scholar] [CrossRef]
  5. Karimi-Maleh, H.; Darabi, R.; Shabani-Nooshabadi, M.; Baghayeri, M.; Karimi, F.; Rouhi, J.; Karaman, C. Determination of D&C Red 33 and Patent Blue V Azo dyes using an impressive electrochemical sensor based on carbon paste electrode modified with ZIF-8/g-C3N4/Co and ionic liquid in mouthwash and toothpaste as real samples. Food Chem. Toxicol. 2022, 162, 112907. [Google Scholar]
  6. Zhang, K.; Luo, P.; Wu, J.; Wang, W.; Ye, B. Highly sensitive determination of Sunset Yellow in drink using a poly (l-cysteine) modified glassy carbon electrode. Anal. Methods 2013, 5, 5044–5050. [Google Scholar] [CrossRef]
  7. Nguyen, Q.T.; Le, T.G.; Bergonzo, P.; Tran, Q.T. One-step fabrication of nickel-electrochemically reduced graphene oxide nanocomposites modified electrodes and application to the detection of sunset yellow in drinks. Appl. Sci. 2022, 12, 2614. [Google Scholar] [CrossRef]
  8. Ding, Z.; Deng, P.; Wu, Y.; Tian, Y.; Li, G.; Liu, J.; He, Q. A novel modified electrode for detection of the food colorant sunset yellow based on nanohybrid of MnO2 nanorods-decorated electrochemically reduced graphene oxide. Molecules 2019, 24, 1178. [Google Scholar] [CrossRef] [Green Version]
  9. Al-Degs, Y.S. Determination of three dyes in commercial soft drinks using HLA/GO and liquid chromatography. Food Chem. 2009, 117, 485–490. [Google Scholar] [CrossRef]
  10. He, Q.; Liu, J.; Liu, X.; Xia, Y.; Li, G.; Deng, P.; Chen, D. Novel electrochemical sensors based on cuprous oxide-electrochemically reduced graphene oxide nanocomposites modified electrode toward sensitive detection of sunset yellow. Molecules 2018, 23, 2130. [Google Scholar] [CrossRef] [Green Version]
  11. Wang, Z.; Shan, Y.; Xu, L.; Wu, G.; Lu, X. Development and application of the tartrazine voltammetric sensors based on molecularly imprinted polymers. Int. J. Polym. Anal. Charact. 2017, 22, 83–91. [Google Scholar] [CrossRef]
  12. Sha, O.; Zhu, X.; Feng, Y.; Ma, W. Determination of sunset yellow and tartrazine in food samples by combining ionic liquid-based aqueous two-phase system with high performance liquid chromatography. J. Anal. Methods Chem. 2014, 2014, 964273. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Lancaster, F.E.; Lawrence, J.F. Determination of benzidine in the food colours tartrazine and sunset yellow FCF, by reduction and derivatization followed by high-performance liquid chromatography. Food Addit. Contam. 1999, 16, 381–390. [Google Scholar] [CrossRef]
  14. El-Shahawi, M.S.; Hamza, A.; Al-Sibaai, A.A.; Bashammakh, A.S.; Al-Saidi, H.M. A new method for analysis of sunset yellow in food samples based on cloud point extraction prior to spectrophotometric determination. J. Ind. Eng. Chem. 2013, 19, 529–535. [Google Scholar] [CrossRef]
  15. Ma, K.; Li, X.J.; Wang, H.F.; Zhao, M. Rapid and sensitive method for the determination of eight food additives in red wine by ultra-performance liquid chromatography tandem mass spectrometry. Food Anal. Methods 2015, 8, 203–212. [Google Scholar] [CrossRef]
  16. Fuh, M.R.; Chia, K.J. Determination of sulphonated azo dyes in food by ion-pair liquid chromatography with photodiode array and electrospray mass spectrometry detection. Talanta 2002, 56, 663–671. [Google Scholar] [CrossRef]
  17. Huang, H.Y.; Shih, Y.C.; Chen, Y.C. Determining eight colorants in milk beverages by capillary electrophoresis. J. Chromatogr. A 2002, 959, 317–325. [Google Scholar] [CrossRef]
  18. Soponar, F.; Moţ, A.C.; Sârbu, C. Quantitative determination of some food dyes using digital processing of images obtained by thin-layer chromatography. J. Chromatogr. A 2008, 1188, 295–300. [Google Scholar] [CrossRef]
  19. Kaya, S.I.; Cetinkaya, A.; Ozkan, S.A. Latest advances on the nanomaterials-based electrochemical analysis of azo toxic dyes Sunset Yellow and Tartrazine in food samples. Food Chem. Toxicol. 2021, 156, 112524. [Google Scholar] [CrossRef]
  20. Kouadio, K.E.; Kambiré, O.; Koffi, K.S.; Ouattara, L. Electrochemical oxidation of paracetamol on boron-doped diamond electrode: Analytical performance and paracetamol degradation. J. Electrochem. Sci. Eng. 2021, 11, 71–86. [Google Scholar]
  21. Motahharinia, M.; Zamani, H.A.; Karimi Maleh, H. A sensitive electroanalytical sensor amplified with Pd-ZnO nanoparticle for determination of Sunset Yellow in real samples. Eurasian Chem. Commun. 2020, 2, 760–770. [Google Scholar] [CrossRef]
  22. Rajabi, N.; Masrournia, M.; Abedi, M. Potentiometric determination of La(III) using chitosan modified carbon paste electrode with an experimental design. Chem. Methodol. 2020, 4, 660–670. [Google Scholar]
  23. Shamsi, A.; Ahour, F. Electrochemical sensing of thioridazine in human serum samples using modified glassy carbon electrode. Adv. J. Chem. A 2020, 4, 22–31. [Google Scholar]
  24. Karimi-Maleh, H.; Karimi, F.; Orooji, Y.; Mansouri, G.; Razmjou, A.; Aygun, A.; Sen, F. A new nickel-based co-crystal complex electrocatalyst amplified by NiO dope Pt nanostructure hybrid; a highly sensitive approach for determination of cysteamine in the presence of serotonin. Sci. Rep. 2020, 10, 11699. [Google Scholar] [CrossRef] [PubMed]
  25. Arfin, T.; Rangari, S.N. Graphene oxide–ZnO nanocomposite modified electrode for the detection of phenol. Anal. Methods 2018, 10, 347–358. [Google Scholar] [CrossRef]
  26. Kumar, H.; Kumari, N.; Sharma, R. Nanocomposites (conducting polymer and nanoparticles) based electrochemical biosensor for the detection of environment pollutant: Its issues and challenges. Environ. Impact Assess. Rev. 2020, 85, 106438. [Google Scholar] [CrossRef]
  27. Petrović, S.; Guzsvány, V.; Ranković, N.; Beljin, J.; Rončević, S.; Dalmacija, B.; Vytřas, K. Trace level voltammetric determination of Zn (II) in selected nutrition related samples by bismuth-oxychloride-multiwalled carbon nanotube composite based electrode. Microchem. J. 2019, 146, 178–186. [Google Scholar] [CrossRef]
  28. Mohanraj, J.; Durgalakshmi, D.; Rakkesh, R.A.; Balakumar, S.; Rajendran, S.; Karimi-Maleh, H. Facile synthesis of paper based graphene electrodes for point of care devices: A double stranded DNA (dsDNA) biosensor. J. Colloid Interface Sci. 2020, 566, 463–472. [Google Scholar] [CrossRef] [PubMed]
  29. Payehghadr, M.; Taherkhani, Y.; Maleki, A.; Nourifard, F. Selective and sensitive voltammetric sensor for methocarbamol determination by molecularly imprinted polymer modified carbon paste electrode. Eurasian Chem. Commun. 2020, 2, 982–990. [Google Scholar]
  30. Ramachandran, R.; Chen, T.W.; Chen, S.M.; Baskar, T.; Kannan, R.; Elumalai, P.; Dinakaran, K. A review of the advanced developments of electrochemical sensors for the detection of toxic and bioactive molecules. Inorg. Chem. Front. 2019, 6, 3418–3439. [Google Scholar] [CrossRef]
  31. Miraki, M.; Karimi-Maleh, H.; Taher, M.A.; Cheraghi, S.; Karimi, F.; Agarwal, S.; Gupta, V.K. Voltammetric amplified platform based on ionic liquid/NiO nanocomposite for determination of benserazide and levodopa. J. Mol. Liq. 2019, 278, 672–676. [Google Scholar] [CrossRef]
  32. Tajik, S.; Beitollahi, H.; Torkzadeh-Mahani, M. Electrochemical immunosensor for the detection of anti-thyroid peroxidase antibody by gold nanoparticles and ionic liquid-modified carbon paste electrode. J. Nanostruct. Chem. 2022, 12, 581–588. [Google Scholar] [CrossRef]
  33. Winiarski, J.P.; Tavares, B.F.; de Fátima Ulbrich, K.; de Campos, C.E.M.; Souza, A.A.; Souza, S.M.G.U.; Jost, C.L. Development of a multianalyte electrochemical sensor for depression biomarkers based on a waste of the steel industry for a sustainable and one-step electrode modification. Microchem. J. 2022, 175, 107141. [Google Scholar] [CrossRef]
  34. Fanjul-Bolado, P.; Queipo, P.; Lamas-Ardisana, P.J.; Costa-García, A. Manufacture and evaluation of carbon nanotube modified screen-printed electrodes as electrochemical tools. Talanta 2007, 74, 427–433. [Google Scholar] [CrossRef]
  35. Economou, A. Screen-printed electrodes modified with “green” metals for electrochemical stripping analysis of toxic elements. Sensors 2018, 18, 1032. [Google Scholar] [CrossRef] [PubMed]
  36. Mohammadzadeh Jahani, P.; Garkani Nejad, F.; Dourandish, Z.; Poursoltani Zarandi, M.; Safizadeh, M.M.; Tajik, S.; Beitollahi, H. A modified carbon paste electrode with N-rGO/CuO nanocomposite and ionic liquid for the efficient and cheap voltammetric sensing of hydroquinone in water specimens. Chemosphere 2022, 302, 134712. [Google Scholar] [CrossRef] [PubMed]
  37. Rowley-Neale, S.J.; Brownson, D.A.; Smith, G.; Banks, C.E. Graphene oxide bulk-modified screen-printed electrodes provide beneficial electroanalytical sensing capabilities. Biosensors 2020, 10, 27. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Wasąg, J.; Grabarczyk, M. Copper film modified glassy carbon electrode and copper film with carbon nanotubes modified screen-printed electrode for the Cd (II) determination. Materials 2021, 14, 5148. [Google Scholar] [CrossRef]
  39. Buffon, E.; Stradiotto, N.R. A molecularly imprinted polymer on reduced graphene oxide-gold nanoparticles modified screen-printed electrode for selective determination of ferulic acid in orange peels. Microchem. J. 2021, 167, 106339. [Google Scholar] [CrossRef]
  40. Mohammadzadeh Jahani, P.; Beitollahi, H.; Di Bartolomeo, A. A voltammetric sensor for the determination of hydroxylamine using a polypyrrole nanotubes-modified electrode. Appl. Sci. 2022, 12, 7485. [Google Scholar] [CrossRef]
  41. Torres-Rivero, K.; Florido, A.; Bastos-Arrieta, J. Recent trends in the improvement of the electrochemical response of screen-printed electrodes by their modification with shaped metal nanoparticles. Sensors 2021, 21, 2596. [Google Scholar] [CrossRef] [PubMed]
  42. Kamble, B.; Garadkar, K.M.; Sharma, K.K.; Kamble, P.; Tayade, S.; Ajalkar, B.D. Determination of 4-nitrophenol using MoO3 loaded glassy carbon electrode via electrochemical sensing approach. J. Electrochem. Sci. Eng. 2021, 11, 143–159. [Google Scholar] [CrossRef]
  43. Abrishamkar, M.; Ehsani Tilami, S.; Hosseini Kaldozakh, S. Electrocatalytic oxidation of cefixime at the surface of modified carbon paste electrode with synthesized nano zeolite. Adv. J. Chem. A 2020, 3, 767–776. [Google Scholar]
  44. Tajik, S.; Beitollahi, H.; Garkani Nejad, F.; Safaei, M.; Mohammadzadeh Jahani, P. Electrochemical sensing of Sudan I using the modified graphite screen-printed electrode. Int. J. Environ. Anal. Chem. 2022, 102, 1477–1490. [Google Scholar] [CrossRef]
  45. Azimi, S.; Amiri, M.; Imanzadeh, H.; Bezaatpour, A. Fe3O4@SiO2-NH2/CoSB modified carbon paste electrode for simultaneous detection of acetaminophen and chlorpheniramine. Adv. J. Chem. A 2021, 4, 152–164. [Google Scholar]
  46. Karimi-Maleh, H.; Sheikhshoaie, M.; Sheikhshoaie, I.; Ranjbar, M.; Alizadeh, J.; Maxakato, N.W.; Abbaspourrad, A. A novel electrochemical epinine sensor using amplified CuO nanoparticles and an-hexyl-3-methylimidazolium hexafluorophosphate electrode. New J. Chem. 2019, 43, 2362–2367. [Google Scholar] [CrossRef]
  47. Torres-Rivero, K.; Torralba-Cadena, L.; Espriu-Gascon, A.; Casas, I.; Bastos-Arrieta, J.; Florido, A. Strategies for surface modification with Ag-shaped nanoparticles: Electrocatalytic enhancement of screen-printed electrodes for the detection of heavy metals. Sensors 2019, 19, 4249. [Google Scholar] [CrossRef]
  48. Baig, N.; Sajid, M.; Saleh, T.A. Recent trends in nanomaterial-modified electrodes for electroanalytical applications. TrAC Trends Anal. Chem. 2019, 111, 47–61. [Google Scholar] [CrossRef]
  49. Kazemi, F.; Zamani, H.; Abedi, M.; Ebrahimi, M. Photodegradation of tramadol using α-Fe2O3 nanoparticles/12-tungstosilicic acid as an efficient photocatalyst in water sample employing box-behnken design. Chem. Methodol. 2021, 5, 522–533. [Google Scholar]
  50. Srivastava, A.K.; Upadhyay, S.S.; Rawool, C.R.; Punde, N.S.; Rajpurohit, A.S. Voltammetric techniques for the analysis of drugs using nanomaterials based chemically modified electrodes. Curr. Anal. Chem. 2019, 15, 249–276. [Google Scholar] [CrossRef]
  51. Karimi-Maleh, H.; Karaman, C.; Karaman, O.; Karimi, F.; Vasseghian, Y.; Fu, L.; Mirabi, A. Nanochemistry approach for the fabrication of Fe and N co-decorated biomass-derived activated carbon frameworks: A promising oxygen reduction reaction electrocatalyst in neutral media. J. Nanostruct. Chem. 2022, 12, 429–439. [Google Scholar] [CrossRef]
  52. Mahmoudi-Moghaddam, H.; Tajik, S.; Beitollahi, H. A new electrochemical DNA biosensor based on modified carbon paste electrode using graphene quantum dots and ionic liquid for determination of topotecan. Microchem. J. 2019, 150, 104085. [Google Scholar] [CrossRef]
  53. Eissa, S.; Alshehri, N.; Rahman, A.M.A.; Dasouki, M.; Abu-Salah, K.M.; Zourob, M. Electrochemical immunosensors for the detection of survival motor neuron (SMN) protein using different carbon nanomaterials-modified electrodes. Biosens. Bioelectron. 2018, 101, 282–289. [Google Scholar] [CrossRef] [PubMed]
  54. Eren, T.; Atar, N.; Yola, M.L.; Karimi-Maleh, H. A sensitive molecularly imprinted polymer based quartz crystal microbalance nanosensor for selective determination of lovastatin in red yeast rice. Food Chem. 2015, 185, 430–436. [Google Scholar] [CrossRef]
  55. Soto, D.; Alzate, M.; Gallego, J.; Orozco, J. Hybrid nanomaterial/catalase-modified electrode for hydrogen peroxide sensing. J. Electroanal. Chem. 2021, 880, 114826. [Google Scholar] [CrossRef]
  56. Tajik, S.; Dourandish, Z.; Garkani Nejad, F.; Aghaei Afshar, A.; Beitollahi, H. Voltammetric determination of isoniazid in the presence of acetaminophen utilizing MoS2-nanosheet-modified screen-printed electrode. Micromachines 2022, 13, 369. [Google Scholar] [CrossRef]
  57. Amini, R.; Asadpour-Zeynali, K. Cauliflower-like NiCo2O4−Zn/Al layered double hydroxide nanocomposite as an efficient electrochemical sensing platform for selective pyridoxine detection. Electroanalysis 2020, 32, 1160–1169. [Google Scholar] [CrossRef]
  58. Saghiri, S.; Ebrahimi, M.; Bozorgmehr, M. Electrochemical amplified sensor with MgO nanoparticle and ionic liquid: A powerful strategy for methyldopa analysis. Chem. Methodol. 1999, 5, 234–239. [Google Scholar]
  59. Samanta, S.; Srivastava, R. CuCo2O4 based economical electrochemical sensor for the nanomolar detection of hydrazine and metol. J. Electroanal. Chem. 2016, 777, 48–57. [Google Scholar] [CrossRef]
  60. Alavi-Tabari, S.A.; Khalilzadeh, M.A.; Karimi-Maleh, H. Simultaneous determination of doxorubicin and dasatinib as two breast anticancer drugs uses an amplified sensor with ionic liquid and ZnO nanoparticle. J. Electroanal. Chem. 2018, 811, 84–88. [Google Scholar] [CrossRef]
  61. Tajik, S.; Askari, M.B.; Ahmadi, S.A.; Garkani Nejad, F.; Dourandish, Z.; Razavi, R.; Di Bartolomeo, A. Electrochemical sensor based on ZnFe2O4/RGO nanocomposite for ultrasensitive detection of hydrazine in real samples. Nanomaterials 2022, 12, 491. [Google Scholar] [CrossRef] [PubMed]
  62. Xu, J.; Su, D.; Bao, W.; Zhao, Y.; Xie, X.; Wang, G. Rose flower-like NiCo2O4 with hierarchically porous structures for highly reversible lithium storage. J. Alloys Compd. 2016, 684, 691–698. [Google Scholar] [CrossRef]
  63. Tajik, S.; Lohrasbi-Nejad, A.; Mohammadzadeh Jahani, P.; Askari, M.B.; Beitollahi, H. Co-detection of vanillin and folic acid using a novel electrochemical sensor of NiFe2O4/rGO/ILCPE. J. Mater. Sci. Mater. Electron. 2022, 33, 2020–2030. [Google Scholar] [CrossRef]
  64. Jang, G.S.; Kim, E.B.; Akhtar, M.S.; Shin, H.S.; Ameen, S. An exploration of 3-methoxypropionitrile chemical sensor based on layered hexagonal NiCo2O4 nanoplates as electrode material. Ceram. Int. 2021, 47, 15357–15366. [Google Scholar] [CrossRef]
  65. Yu, Z.; Li, H.; Zhang, X.; Liu, N.; Tan, W.; Zhang, X.; Zhang, L. Facile synthesis of NiCo2O4@Polyaniline core–shell nanocomposite for sensitive determination of glucose. Biosens. Bioelectron. 2016, 75, 161–165. [Google Scholar] [CrossRef]
  66. Tajik, S.; Beitollahi, H.; Ahmadi, S.A.; Askari, M.B.; Di Bartolomeo, A. Screen-printed electrode surface modification with NiCo2O4/RGO nanocomposite for hydroxylamine detection. Nanomaterials 2021, 11, 3208. [Google Scholar] [CrossRef]
  67. Zhang, C.; Geng, X.; Tang, S.; Deng, M.; Du, Y. NiCo2O4@rGO hybrid nanostructures on Ni foam as high-performance supercapacitor electrodes. J. Mater. Chem. A 2017, 5, 5912–5919. [Google Scholar] [CrossRef]
  68. Wang, Q.; O’Hare, D. Recent advances in the synthesis and application of layered double hydroxide (LDH) nanosheets. Chem. Rev. 2012, 112, 4124–4155. [Google Scholar] [CrossRef]
  69. Xue, W.D.; Wang, W.J.; Fu, Y.F.; He, D.X.; Zeng, F.Y.; Zhao, R. Rational synthesis of honeycomb-like NiCo2O4@NiMoO4 core/shell nanofilm arrays on Ni foam for high-performance supercapacitors. Mater. Lett. 2017, 186, 34–37. [Google Scholar] [CrossRef]
  70. Chu, Q.; Wang, W.; Wang, X.; Yang, B.; Liu, X.; Chen, J. Hierarchical NiCo2O4@ nickel-sulfide nanoplate arrays for high-performance supercapacitors. J. Power Sources 2015, 276, 19–25. [Google Scholar] [CrossRef]
  71. Li, L.; Peng, S.; Cheah, Y.; The, P.; Wang, J.; Wee, G.; Ko, Y.; Wong, C.; Srinivasan, M. Electrospun porous NiCo2O4 nanotubes as advanced electrodes for electrochemical capacitors. Chem. Eur. J. 2013, 19, 5892–5898. [Google Scholar] [CrossRef] [PubMed]
  72. Liu, S.; An, C.; Chang, X.; Guo, H.; Zang, L.; Wang, Y.; Jiao, L. Optimized core–shell polypyrrole-coated NiCo2O4 nanowires as binder-free electrode for high-energy and durable aqueous asymmetric supercapacitor. J. Mater. Sci. 2018, 53, 2658–2668. [Google Scholar] [CrossRef]
  73. Sahin, O.K.Y. Poly (L-cysteine) modified pencil graphite electrode for determination of sunset yellow in food and beverage samples by differential pulse voltammetry. Int. J. Electrochem. Sci. 2018, 13, 159–174. [Google Scholar]
  74. Ye, X.; Du, Y.; Lu, D.; Wang, C. Fabrication of β-cyclodextrin-coated poly (diallyldimethylammonium chloride)-functionalized graphene composite film modified glassy carbon-rotating disk electrode and its application for simultaneous electrochemical determination colorants of sunset yellow and tartrazine. Anal. Chim. Acta 2013, 779, 22–34. [Google Scholar] [PubMed]
  75. Sierra-Rosales, P.; Toledo-Neira, C.; Squella, J.A. Electrochemical determination of food colorants in soft drinks using MWCNT-modified GCEs. Sens. Actuators B Chem. 2017, 240, 1257–1264. [Google Scholar] [CrossRef]
  76. Ghoreishi, S.M.; Behpour, M.; Golestaneh, M. Simultaneous determination of sunset yellow and tartrazine in soft drinks using gold nanoparticles carbon paste electrode. Food Chem. 2012, 132, 637–641. [Google Scholar] [CrossRef]
  77. Wu, J.H.; Lee, H.L. Determination of sunset yellow and tartrazine in drinks using screen-printed carbon electrodes modified with reduced graphene oxide and NiBTC frameworks. Microchem. J. 2020, 158, 105133. [Google Scholar] [CrossRef]
  78. Darabi, R.; Shabani-Nooshabadi, M. NiFe2O4-rGO/ionic liquid modified carbon paste electrode: An amplified electrochemical sensitive sensor for determination of Sunset Yellow in the presence of Tartrazine and Allura Red. Food Chem. 2021, 339, 127841. [Google Scholar] [CrossRef]
  79. Tran, Q.T.; Phung, T.T.; Nguyen, Q.T.; Le, T.G.; Lagrost, C. Highly sensitive and rapid determination of sunset yellow in drinks using a low-cost carbon materialbased electrochemical sensor. Anal. Bioanal. Chem. 2019, 41, 7539–7549. [Google Scholar] [CrossRef]
Biosensors 12 00912 sch001 550
Scheme 1. Schematic illustration of NiCo2O4/SPGE-based sunset yellow electrochemical detection.
Scheme 1. Schematic illustration of NiCo2O4/SPGE-based sunset yellow electrochemical detection.
Biosensors 12 00912 sch001
Biosensors 12 00912 g001 550
Figure 1. FE-SEM images at diverse magnifications (a = 2 µm, b = 1 µm and c = 500 nm) for hierarchical flower-like NiCo2O4 nanoplates.
Figure 1. FE-SEM images at diverse magnifications (a = 2 µm, b = 1 µm and c = 500 nm) for hierarchical flower-like NiCo2O4 nanoplates.
Biosensors 12 00912 g001
Biosensors 12 00912 g002 550
Figure 2. EDS spectrum of hierarchical flower-like NiCo2O4 nanoplates.
Figure 2. EDS spectrum of hierarchical flower-like NiCo2O4 nanoplates.
Biosensors 12 00912 g002
Biosensors 12 00912 g003 550
Figure 3. XRD pattern of hierarchical flower-like NiCo2O4 nanoplates.
Figure 3. XRD pattern of hierarchical flower-like NiCo2O4 nanoplates.
Biosensors 12 00912 g003
Biosensors 12 00912 g004 550
Figure 4. FT-IR spectrum of hierarchical flower-like NiCo2O4 nanoplates.
Figure 4. FT-IR spectrum of hierarchical flower-like NiCo2O4 nanoplates.
Biosensors 12 00912 g004
Biosensors 12 00912 g005 550
Figure 5. CVs curves of different electrode in PBS (0.1 M, pH 7.0) solution containing 1.0 M KCl and 5.0 mM Fe(CN)6 3−/4−; (a) bare SPGE and (b) NiCo2O4/SPGE. Scan rate: 100 mV s−1.
Figure 5. CVs curves of different electrode in PBS (0.1 M, pH 7.0) solution containing 1.0 M KCl and 5.0 mM Fe(CN)6 3−/4−; (a) bare SPGE and (b) NiCo2O4/SPGE. Scan rate: 100 mV s−1.
Biosensors 12 00912 g005
Biosensors 12 00912 g006 550
Figure 6. DPVs captured for the oxidation of 100.0 μM sunset yellow contents on the NiCo2O4/SPGE at variable pH (2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 and 9.0). Inset: Variation peak current as a function of solution pH.
Figure 6. DPVs captured for the oxidation of 100.0 μM sunset yellow contents on the NiCo2O4/SPGE at variable pH (2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 and 9.0). Inset: Variation peak current as a function of solution pH.
Biosensors 12 00912 g006
Biosensors 12 00912 sch002 550
Scheme 2. The mechanism of the electrochemical reaction of sunset yellow on the NiCo2O4/SPGE.
Scheme 2. The mechanism of the electrochemical reaction of sunset yellow on the NiCo2O4/SPGE.
Biosensors 12 00912 sch002
Biosensors 12 00912 g007 550
Figure 7. CVs captured for electrochemical reaction of sunset yellow (100.0 μM) in PBS (0.1 M; pH = 7.0) on (a) NiCo2O4/SPGE and (b) unmodified SPGE with the scan rate of 50 mV/s.
Figure 7. CVs captured for electrochemical reaction of sunset yellow (100.0 μM) in PBS (0.1 M; pH = 7.0) on (a) NiCo2O4/SPGE and (b) unmodified SPGE with the scan rate of 50 mV/s.
Biosensors 12 00912 g007
Biosensors 12 00912 g008 550
Figure 8. LSVs captured for the oxidation of sunset yellow (60.0 μM) on the NiCo2O4/SPGE under variable scan rates (a: 10 mV/s, b: 25 mV/s, c: 50 mV/s, d: 100 mV/s, e: 200 mV/s, and f: 300 mV/s). Insets: (A) the correlation of Ipa with ν1/2. (B) Variation of logarithm of current as a function of variation in the logarithm of scan rate.
Figure 8. LSVs captured for the oxidation of sunset yellow (60.0 μM) on the NiCo2O4/SPGE under variable scan rates (a: 10 mV/s, b: 25 mV/s, c: 50 mV/s, d: 100 mV/s, e: 200 mV/s, and f: 300 mV/s). Insets: (A) the correlation of Ipa with ν1/2. (B) Variation of logarithm of current as a function of variation in the logarithm of scan rate.
Biosensors 12 00912 g008
Biosensors 12 00912 g009 550
Figure 9. LSV for sunset yellow (60.0 μM) at the scan rate of 10 mV/s. Inset: The Tafel plot from the rising domain of the respective voltammogram.
Figure 9. LSV for sunset yellow (60.0 μM) at the scan rate of 10 mV/s. Inset: The Tafel plot from the rising domain of the respective voltammogram.
Biosensors 12 00912 g009
Biosensors 12 00912 g010 550
Figure 10. Chronoamperometric behavior of NiCo2O4/SPGE in PBS (0.1 M; pH = 7.0) at potential of 740 mV for variable sunset yellow contents (a: 0.1 mM, b: 0.3 mM, c: 0.5 mM, d: 0.8 mM, e: 1.1 mM and f: 1.5 mM). Insets: (A) Plots of I vs. t−1/2 and (B) plots of the slopes from the straight lines vs. sunset yellow level.
Figure 10. Chronoamperometric behavior of NiCo2O4/SPGE in PBS (0.1 M; pH = 7.0) at potential of 740 mV for variable sunset yellow contents (a: 0.1 mM, b: 0.3 mM, c: 0.5 mM, d: 0.8 mM, e: 1.1 mM and f: 1.5 mM). Insets: (A) Plots of I vs. t−1/2 and (B) plots of the slopes from the straight lines vs. sunset yellow level.
Biosensors 12 00912 g010
Biosensors 12 00912 g011 550
Figure 11. DPVs captured for the oxidation of variable sunset yellow contents on the NiCo2O4/SPGE (a: 0.02 μM, b: 0.2 μM, c: 2.0 μM, d: 5.0 μM, e: 10.0 μM, f: 25.0 μM, g: 50.0 μM, h: 100.0 μM, and i: 145.0 μM). Inset: Calibration curve of voltammetric response (Ipa) against sunset yellow level.
Figure 11. DPVs captured for the oxidation of variable sunset yellow contents on the NiCo2O4/SPGE (a: 0.02 μM, b: 0.2 μM, c: 2.0 μM, d: 5.0 μM, e: 10.0 μM, f: 25.0 μM, g: 50.0 μM, h: 100.0 μM, and i: 145.0 μM). Inset: Calibration curve of voltammetric response (Ipa) against sunset yellow level.
Biosensors 12 00912 g011
Biosensors 12 00912 g012 550
Figure 12. DPVs captured for the oxidation of 50.0 μM sunset yellow contents on the five constructed NiCo2O4/SPGEs.
Figure 12. DPVs captured for the oxidation of 50.0 μM sunset yellow contents on the five constructed NiCo2O4/SPGEs.
Biosensors 12 00912 g012
Table
Table 1. Comparison of the efficiency of the NiCo2O4/SPGE with other reported modified electrodes for sunset yellow determination.
Table 1. Comparison of the efficiency of the NiCo2O4/SPGE with other reported modified electrodes for sunset yellow determination.
Electrochemical SensorMethodLinear Range/μMLOD/μMRef.
Chitosan (CHIT)-graphene (Gr)/glassy carbon electrode (GCE)CV0.2–100.00.066[1]
Multi-walled carbon nanotubes (MWCNTs)/GCEDPV0.55–7.00.12[75]
Au nanoparticles (NPs)/carbon paste electrode (CPE)DPV0.1–2.00.03[76]
Reduced graphene oxide (rGO)-Ni-BTC metal–organic framework (MOF)/Screen-printedcarbon electrode (SPCE)DPV0.05–5.00.025[77]
Ionic liquid (IL)-NiFe2O4-rGO/CPEDPV0.05–30.0 and
30.0–500.0		0.03[78]
Electrochemically reduced oxide (ErGO)/GCEDPV0.05–1.00.0192[79]
NiCo2O4/SPGEDPV0.02–145.00.008This Work
Table
Table 2. Voltammetric sensing of sunset yellow in real specimens using NiCo2O4/SPGE. All concentrations are in µM (n = 5).
Table 2. Voltammetric sensing of sunset yellow in real specimens using NiCo2O4/SPGE. All concentrations are in µM (n = 5).
SampleSpikedFoundRecovery (%)R.S.D. (%)
Apple Juice02.5-3.2
2.04.6102.22.7
3.05.396.41.9
4.06.498.52.9
5.07.6101.33.0
Orange juice03.8-2.7
1.04.797.93.5
2.06.0103.43.1
3.06.9101.51.7
4.07.798.72.5
Tap Water0---
5.05.1102.02.8
7.57.498.73.4
10.010.4104.01.8
12.512.499.22.6
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Beitollahi, H.; Tajik, S.; Dourandish, Z.; Garkani Nejad, F. Simple Preparation and Characterization of Hierarchical Flower-like NiCo2O4 Nanoplates: Applications for Sunset Yellow Electrochemical Analysis. Biosensors 2022, 12, 912. https://doi.org/10.3390/bios12110912

AMA Style

Beitollahi H, Tajik S, Dourandish Z, Garkani Nejad F. Simple Preparation and Characterization of Hierarchical Flower-like NiCo2O4 Nanoplates: Applications for Sunset Yellow Electrochemical Analysis. Biosensors. 2022; 12(11):912. https://doi.org/10.3390/bios12110912

Chicago/Turabian Style

Beitollahi, Hadi, Somayeh Tajik, Zahra Dourandish, and Fariba Garkani Nejad. 2022. "Simple Preparation and Characterization of Hierarchical Flower-like NiCo2O4 Nanoplates: Applications for Sunset Yellow Electrochemical Analysis" Biosensors 12, no. 11: 912. https://doi.org/10.3390/bios12110912

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

Article Metrics

Back to TopTop