Next Article in Journal
Static and Dynamic Magnetic Properties of Fe3O4 Nanotubes
Previous Article in Journal
Rebuildable Silver Nanoparticles Employed as Seeds for Synthesis of Pure Silver Nanopillars with Hexagonal Cross-Sections under Room Temperature
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Nanomaterials
Volume 13
Issue 7
10.3390/nano13071264
nanomaterials-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

Multiwalled Carbon Nanotubes-Modified Metallic Electrode Prepared Using Chemical Vapor Deposition as Sequential Injection Analysis Detector for Determination of Ascorbic Acid

by
Abdalghaffar M. Osman
1,2,*,
Abdulmajeed Hendi
3,4 and
Nadir M. A. Osman
1
1
Chemistry Department, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia
2
Interdisciplinary Research Center (IRC) for Advanced Materials, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia
3
Physics Department, Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia
4
Interdisciplinary Research Center (IRC) for Hydrogen and Energy Storage, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia
*
Author to whom correspondence should be addressed.
Nanomaterials 2023, 13(7), 1264; https://doi.org/10.3390/nano13071264
Submission received: 7 March 2023 / Revised: 31 March 2023 / Accepted: 31 March 2023 / Published: 3 April 2023
(This article belongs to the Section 2D and Carbon Nanomaterials)
Browse Figures
Review Reports Versions Notes

Abstract

:
A carbon nanotubes modified silver electrode (CNTs-Ag) was prepared via catalytic chemical vapor deposition and characterized. The morphology, crystallinity, elemental composition, and other quality parameters of the prepared electrode were investigated using scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and Raman techniques. The characterization results revealed the modification of the silver metal surface with CNTs of good characteristics. A sequential injection analysis (SIA) system was developed for studying the reaction of ascorbic acid with KIO3 using the prepared CNTs-Ag electrode. Electrodes were polarized with both direct current (DC) and periodic square wave (SW). Various experimental conditions affecting the differential electrolytic potentiometric (DEP) peak such as current density, SW bias value, and flow rate were appraised. Under the optimum conditions, good linear responses for ascorbic acid were obtained in the range of 60.0–850.0 µM for both types of polarization with detection limits of 14.0–19.0 µM. The results obtained showed that the periodic polarization method was more sensitive than DC polarization and the electrode response was faster. Ascorbic acid in pharmaceutical tablets was determined with satisfactory results using this method. The prepared CNTs-based electrode exhibited good performance for a long period of use. The method is simple, rapid, and inexpensive for routine analysis.

1. Introduction

Electrochemical techniques have advantages over other techniques such as spectrometry and chromatography in food, biological, pharmaceutical, and clinical applications. These include high precision and sensitivity, selectivity, cost effectiveness, defined reaction time, environmentally friendly, miniaturization, and minimum sample pretreatment [1,2]. Nanomaterials have been extensively used to develop advanced electrochemical sensors and biosensors for a wide range of applications [3,4,5]. Due to a combination of exceptional properties including electrical configuration, chemical structure, large surface-to-mass ratio, and adsorption capacity, carbon nanotubes (CNTs) have been widely used as electrode material for electrochemical sensing and biosensing [6,7]. The unique electronic structure of CNTs makes them an excellent choice to mediate heterogeneous transfer of electrons in electrochemical reactions [8]. In addition, their high surface area and good capability for adsorption makes CNTs suitable electrode material for stripping techniques [9,10]. Moreover, CNTs provide an excellent surface to immobilize various moieties and they are easily functionalized to suit different applications [11]. As electrode material, CNTs are commonly attached to the surface of conventional bare electrodes using either drop/spin-casting of CNTs well-dispersed solution, or spraying techniques [12]. Modifications of bare electrodes using these methods result mostly in agglomeration and formation of nanotubes clusters [13]. To avoid that, CNTs are usually mixed with nafion [14], oxidized, esterified, modified with polysaccharides and biomolecules [15], or converted into polymer composites [16,17,18]. Bare electrodes modified with CNTs through the afore-mentioned methods are subject to the detachment of the CNTs, which limits the electrode efficiency. In addition to that, CNTs are not uniformly aligned, but distributed randomly within the electrode matrix, limiting their maximal potential to transfer electrons [19].
To build CNTs-based electrodes with the desired properties, an effective approach to modify metallic electrodes with CNTs is to synthesize the CNTs directly on the surface of a metallic substrate. The significance of this approach is to overcome the shortcomings of the randomly distributed CNTs on the bare electrode surface as well as providing good contact in between [20]. Among the commonly used techniques for producing CNTs, catalytic chemical vapor deposition (CCVD) is the preferred route for quite pure CNTs as compared to the other two techniques: arc discharge and laser ablation methods [21,22]. CCVD is a simple and cost-effective approach for producing CNTs with a more controlled architecture at ambient pressure and relatively lower temperatures [23,24]. In CVD method, CNTs grow on catalyst nanoparticles that are homogeneously distributed over a substrate by using a suitable carbon source at high temperature and an inert environment. Compared to other methods utilized for modifying bare electrodes with CNTs, in situ CVD fabrication of such electrodes produces electrodes with aligned CNTs that have direct electrical contact with the substrate that improve the electron transfer [25]. CNTs’ growth on metallic substrate rather than attaching them to the bare electrode surface using the classical methods mentioned earlier offers a stronger adhesion in the metal CNTs film interface and therefore minimizes the contact resistance and facilitates the electron transfer, which is critical in electrochemical applications [26]. Thus far, few in situ CVD fabrications of CNTs-modified electrodes have been reported in the literature.
Because of its simplicity, versatility, and flexibility, sequential injection analysis (SIA) is widely utilized in the field of flow chemistry for quantitative analyses [27]. SIA has been used to successfully determine a variety of analytes in food and pharmaceutical samples [28,29,30] utilizing electrochemical detection methods [31]. Electrochemical detection has gained importance in SIA systems because it provides a fast response with a sensitivity that is independent of the flow-through cell compared to some other detection methods [32]. Potentiometric detectors are simple to build in the lab at a minimal cost, and they are easy to incorporate into SIA manifolds [32], providing rapid and precise potentiometric measurements [33].
Ascorbic acid (known as vitamin C) is an antioxidant which acts against free radical-induced diseases. It is one of the most common electroactive biological species that are easily oxidized, which constitutes the basis of its electrochemical determination [34]. Therefore, electrochemical methods are the most common for ascorbic acid detection and quantitation in different applications, especially with the development of using nanomaterials to enhance sensitivity and selectivity [34,35,36].
Differential electrolytic potentiometry (DEP) has been used as an indicating system for the quantitation of ascorbic acid in pharmaceutical and food samples using conventional titrations [37,38], and in SIA systems [39,40]. SW polarized working electrodes exhibited more sensitivity and lower detection limit due to the great acceleration of the electrode response and significant decrease in the electrode deactivation [41].
The purpose of this work is to bridge the gap in the production of robust electrodes modified with high-quality aligned CNTs with good adhesion to the bare substrate to be utilized for long periods. The DEP technique with different types of polarization was employed to increase the sensitivity and maintain the activity of the electrode.

2. Experimental

2.1. Chemicals, Reagents, and Preparations

Ascorbic acid (99.5%), potassium iodate (99.5%), and sulfuric acid from Sigma Aldrich were used without purification. A stock aqueous solution of ascorbic acid (0.10 mol/L) was prepared prior to any analysis and used within 8 h to prepare the other required diluted concentrations. A 0.10 mol/L stock solution of potassium iodate was prepared and used for the preparation of other diluted solutions. A total of 0.05 mol/L of sulfuric acid was also prepared as supporting electrolyte. Three tablets of vitamin C (Redoxon) were ground to powder. A 250.0 mL solution including 76.0 mg of the powder was prepared using deionized water and later used for the analysis of ascorbic acid. The same pharmaceutical sample was analyzed using normal titration against standardized 0.0466 mol/L iodine solution using starch indicator, according to the United States pharmacopeia (USP) [42].

2.2. Instrumentation

The surface morphology was studied using a Tescan–VELA3 scanning electron microscope. Transmission electron microscope (JOEL-2100F) was used to prove the formation of multi-walled nanotubes and observe more details. The crystallinity of CNTs was examined using an X-ray diffractometer (Rigaku Ultima IV) equipped with Cu Kα X-ray source (λ = 0.15406 nm). The scan rate and acquisition 2 theta range were 0.5 degree/min and 20 to 90, respectively. The chemical analysis was performed using X-ray photoelectron spectrometer (Thermo Scientific, ESCALAB 250 Xi, Waltham, MA, USA) equipped with an Al Kα (1486.6 eV) X-ray source. Thermo Avantage software was employed for XPS curve fitting. The pressure inside the analysis chamber was 7 × 10−11 mbar). The C 1s peak centered at 285 eV was used as a reference for calibrating binding energies of the obtained XPS spectra. Raman spectrum was acquired from LabRam, HORIBA Scientific Raman spectrometer using 633 wavelength excitation laser with energy of 2.54 eV with gratings (1800 lines/mm) and eV and an acquisition range from 100 to 3000 cm−1.

2.3. Preparation and Characterization of CNTs-Coated Silver Electrode

The coating of silver wire with CNTs was achieved in a CVD reactor using the pyrolysis of acetylene and then the CNTs growth over iron nanoparticles as a growth catalyst according to the procedure mentioned elsewhere [43]. The prepared CNTs-Ag electrode was characterized using different analytical techniques to investigate the morphology of the electrode surface and other quality parameters of the grown CNTs such as crystallinity, graphitization, and atomic composition.

2.4. SIA Configuration and Procedure

The developed SIA system is illustrated in Scheme 1. The system consists of FIAlab-3500 unit (FIAlab Instruments, Seattle, WA, USA) with Alitea peristaltic pump and microsyringe pump and additional separately programmable microsyringe pump (J-KEM Scientific, St. Louis, MO, USA). The plexiglass flow cell was designed to accommodate two indicator CNT-Ag electrodes. The analog signals conversion into digital ones is achieved with a LabJack interface and the whole system is operated and controlled using FIAlab 5.0 software. Reservoirs containing solutions of sulfuric acid and ascorbic acid are linked to the first and second syringe pumps, respectively, whereas KIO3 solution is propelled using the peristaltic pump. The manifold was initially flushed with sulfuric acid (0.05 mol/L) for a period of time. To obtain the optimal SIA conditions, the value of the current density (µA/cm2), the % bias of the SW, and the flow rate (µL/s) of KIO3 solution were optimized. Initially, sulfuric acid and 0.02 mol/L KIO3 solution were introduced at constant flow rates of 150.0 and 100.0 µL/s, respectively, while ascorbic acid solution (0.28 mmol/L) was pumped at a flow rate of 80 µL/s. The applied current density and percent bias varied from 10–63 µA/cm2 and 0–50%, respectively, and the potential (∆E) in triplicate was measured each time. After optimizing both current density and percent bias, the flow rate of KIO3 was varied from 50.0–180.0 µL/s. At optimum values of all parameters studied, the potential difference (∆E) in triplicate was measured for a series of ascorbic acid standard solutions in the range 0.06–0.85 mmol/L.

3. Results and Discussion

3.1. Morphological and Structural Characterizations of the CNTs Electrode

The SEM images of the morphology of the bare Ag and CNTs-Ag electrodes are represented in Figure 1A,B. Figure 1B exhibits bundles of aligned nanotubes, while the TEM image (Figure 1C) revealed the formation of multi-walled CNTs with few walls displaying an inner diameter of 10 nm and outer one of approximately 15 nm. The XRD diffractogram (Figure 2) of the CNTs-coated electrode revealed two characteristic sharp diffraction peaks at around 25° and 42° that corresponded to the C (002) and C (100) crystallographic planes of CNTs [44]. The Ag exhibited the main crystallographic planes Ag (111), Ag (200), Ag (220), Ag (311), and Ag (222) at 38°, 44°, 64°, 77°, and 83°, respectively [45].
The XPS surface analysis was performed to further elucidate the chemical composition of the CNTs-Ag electrode. The survey spectrum for the electrode surface presented in Figure 3A showed the presence of the characteristic signal of C. No signal is observed for Ag, implying the total coverage of Ag substrate by a dense layer of the grown CNTs. For the C 1s spectrum, it can be observed in Figure 3B that the deconvolution of the spectrum resulted in a single strong peak centered at BE of 284. 4 eV, which is attributed to the sp2 carbon [46]. Interestingly, the presence of such a single peak indicates the formation of well-graphitized sheets for the prepared CNTs and supports the findings of the XRD and Raman. Similarly, the fitting of the O 1s spectrum (Figure 3C) also showed a single peak positioned at 531.90 eV that might be ascribed to the OH of the adsorbed water on the electrode surface [46,47].
The tangential G band, disorder-induced D band and the second-order harmonic G′ band are the most significant peaks that provide information about the quality of CNTs [47]. Raman spectrum of the as-synthesized CNTs is shown in Figure 4. The strong G-band at 1575 cm−1 corresponds to the in-plane vibration of the graphite lattice and indicates the formation of CNTs with good graphitization properties [48]. The G′-peak at around 2640 cm−1 confirms the high degree purity of the prepared CNTs since its strength is more sensitive to SP2 carbon and dramatically enhanced by CNTs [49]. The reason behind that is G′-peak arises from a two-phonon process, as presence of more impurities does not allow for the coupling effect necessary for the two-phonon process [50,51]. Although many reasons might account for the enhancement of the D peak at 1326 cm−1 such as the presence of some amorphous carbon or any sort of distortion in the SP2 configuration of the synthesized CNTs, it is most likely that the main reason behind the enhancement of the peak intensity is the high density aligned CNTs, which was proved using the SEM image and supported by the interpretation of other Raman peaks and further confirmed through XRD and XPS analyses [52].

3.2. Performance of CNTs-Ag as SIA-DEP Indicator Electrodes

Ascorbic acid is one the most common electroactive biological species that are easily oxidized, which constitutes the basis of its electrochemical determination. In this method, ascorbic acid is oxidized to dehydroascorbic acid with iodate in a sulfuric acid medium [53]. In DEP, the signal results from the potential difference between the anodically and cathodically polarized electrodes. At the beginning of the analysis, IO3− ions are reduced at the cathode, and a stable base potential for the system is established. When ascorbic acid is introduced into the flowing stream, it reacts with IO3− while oxidation product and I− ions are formed. Consequently, the potentials of the two polarized electrodes change, generating a measurable signal.

3.3. Optimization of DEP Parameters

The fabricated CNTs-Ag electrode was applied as a DEP indicating system for the determination of ascorbic acid with both DC and SW (biased and bias-free) periodic polarization. Different parameters such as current density, percent bias of SW, and flow rate were optimized. The current density applied to the indicator electrodes was in the range of 10–63 µA/cm2. It was noticed that the obtained peaks were sharp with low intensity at low current density; however, as the current density increased, the peaks became more intense and started to broaden and distort (Figure 5A,B). No significant increase in the peak intensity was noticed beyond the current density value of 40 µA/cm2 as shown in Figure 5C. Then, a current density of 21 µA/cm2 was selected as an optimum value and applied for all other measurements. In electrode periodic polarization, Figure 6A,B explain the increase of the potential peak intensities by applying more percent bias of up to 40%. However, applying a bias beyond 40% had no significant effect on the peak intensities, Figure 6C, which could be attributed to the deleterious effect of the DC bias component that develops at the higher SW bias [54]. Moreover, it was also noticed that high percent biased caused peak distortion and broadening. It was clear from Figure 6C that the bias-free (0%) of the SW resulted in the lowest potential intensity of the peak.
In addition, applying of high biased SW caused peak broadening, which may result in less accuracy when determining the reaction endpoints. Thus, a maximum of 10% biased SW was chosen as an optimum bias considering both the intensity and sharpness of the peak. Comparing the performance of DC and square-wave polarization, it is found that the latter mode of polarization offers better sensitivity and accuracy and faster electrode response due to the reason that periodic potentials stabilize within few seconds and remain [41].

3.4. Characteristics of CNTs-Ag Electrode

In addition to the advantages of polarizing the indicator electrodes, the well-control of the CVD parameters in this study led to the production of CNTs-Ag electrodes with aligned CNTs bundles and well-built graphitic sheets. This resulted in CNTs of high metallic conductivity and hence a high ability to enhance the heterogeneous electron transfer kinetics [8], which, in turn, results in fast establishment of the potential equilibrium. Moreover, the CVD produced CNTs film that is adherent to the silver metal and scratch-proof, with a direct and strong electrical contact that enhances the electrode performance and durability. A probable explanation for the CNTs’ high adherence to the Ag metal surface is the interdiffusion adhesion between CNTs and FeNPs catalyst film on one side, and the interfacial adhesion due to the interatomic interactions between the FeNPs and Ag metal on the other side [55]. These interactions could be electrostatic, chemical, or Van der Waals types. All the above-mentioned characteristics represent the advantages of the CVD fabrication of CNTs-modified electrodes over those modified with randomly distributed CNTs.

3.5. Optimization of SIA Parameters

The flow rate in the system is one of the most important contributing factors to consider in SIA since it affects the analyte dispersion, reaction with the reagent, and signal strength. The KIO3 flow rate was varied between 50 and 175 µL/s for both DC and SW polarization modes in the SIA system. The maximum potential was obtained at KIO3 flow rate of around 80 µL/s, as presented in Figure 7. At flow rate less than this value, the drop in the potential might be ascribed to the decrease of the analyte dispersion and as a result, a lower amount reacted. Beyond this point, increasing the flow rate results in reducing the contact time of the sample components and they thus pass into the detection cell before they fully react.

3.6. Analytical Performance for Ascorbic Acid Determination

At the optimum conditions, the peaks obtained for the reaction between ascorbic acid and KIO3 using the SIA system were sharp and highly reproducible in both DC and SW polarization as shown in Figure 8A and Figure 9A, respectively. However, higher signals, as seen in Figure 9A, have resulted in the case of SW polarization. The higher sensitivity of the SW mode is attributed to the continuous reversal of the square-wave signal that prevents the buildup of analyte films and/or the adsorption of impurities on the indicator electrode surface and makes it fully active throughout the measurement period [54]. Calibration curves for ascorbic acid solutions spanning the range 60.0–850.0 µM for both DC and SW polarization modes were found to follow a linear relation with a square of correlation coefficient (R2) in more than 0.995 in all cases, as represented in Figure 8B and Figure 9B, respectively. The results also showed good reproducibility expressed in terms of percent relative standard deviation (%RSD). Other analytical parameters are provided in Table 1. According to the results obtained in the table, there is an agreement in the values of ascorbic acid determined using the methods described in this work with the standard method in the USP with values of %RSD in the range of 2.4–12.6. The DEP technique using CNTs-Ag electrodes either with DC or periodic polarization for the determination of ascorbic acid is more sensitive, reaching the equilibrium in a short time, and has lower limit of detection than the normal potentiometry when there is no current is passed through the indicator electrode [43]. Ascorbic acid in pharmaceutical tablets of vitamin C (Redoxon) was determined under the optimum conditions of SIA/SW-DEP and the resulting potential peaks are shown in Figure 10. The obtained result agreed with normal titration against standardized 0.0466 mol/L iodine solution using the starch indicator, according to the USP the standard method for ascorbic acid determination [42] as shown in Table 1. The CNTs-Ag electrode prepared via CVD proved to be robust and produced almost the same potential value (204.0 ± 12.3) over a period of 40 days, as shown in Figure 11. This is mainly due to the advantage of using in situ growth of CNTs at high temperature using CVD, which results in strong adhesion of the CNTs layer to the Ag metal. In addition, the periodic polarization used in the DEP technique offers a clean electrode surface during and after the reaction by removing any material adsorbed to it. A simple DEP titration of ascorbic acid was performed using Ag electrodes and bare CNTs-Ag at 20% SW biased to show the impact of the CNTs in enhancing peak signal. It was found that the signal generated from the CNTs-Ag electrode was much stronger, sharp, and corresponded to the expected volume of the titrant, compared to that generated from the bare Ag electrode as shown in Figure 12.
The performance of the CNTs-Ag electrode was compared to that of other electrodes that include CNTs in their composition and used for the electrochemical determination of ascorbic acid. As presented in Table 2, although most of the electrodes used have lower detection limits (LOD) compared to the prepared CNTs-Ag electrode, they are composed of three or four kinds of materials including the CNTs without an advantage of selectivity. Moreover, there is no proof that a single electrode can work for a long period of time with almost the same performance, which gives the CNTs-Ag electrode the privilege of being used for routine work. In addition, the CNTs layer might be functionalized to selectively determine different kinds of analytes.

4. Conclusions

In summary, preparation of CNTs-Ag electrode through CVD was described. Characterization of the fabricated electrode confirmed the growth of aligned, well-graphitized, and crystalline MWCNTs. CNTs-Ag electrodes exhibited excellent performance as an SIA-DEP indicating system for the determination of ascorbic acid. SW periodic polarization of the indicator electrodes showed certain advantages over the DC mode. The developed SIA-DEP system was reliable and the potential peaks obtained at the optimum conditions were reproducible. The CNTs-Ag electrode showed a fast response, stable measurements, and attained equilibrium in a short time because of the characteristics of the grown CNTs and strong adherence to the silver metal surface that offers good electrical contact. The CNTs-Ag electrode displayed a stable performance for a long time of use. The developed method for the determination of ascorbic acid combined the advantages of the prepared electrode as an indicating system, periodic polarization, and SIA, which finally produced a reliable analytical method that requires a reduced use of reagents.

Author Contributions

Conceptualization, A.M.O.; methodology, A.M.O.; software, A.M.O., A.H. and N.M.A.O.; validation, A.M.O.; formal analysis, A.M.O.; investigation, A.M.O.; resources, A.M.O., A.H. and N.M.A.O.; data curation, A.M.O. and A.H.; writing—original draft preparation, A.M.O., A.H. and N.M.A.O.; writing—review and editing, A.M.O. and A.H.; visualization, A.M.O. and A.H.; project administration, A.M.O.; funding acquisition, A.M.O. All authors have read and agreed to the published version of the manuscript.

Funding

This work is fully funded by Deanship of Research Oversight and Coordination, King Fahd University of Petroleum and Minerals (KFUPM) under project No. SB201015.

Data Availability Statement

Not applicable.

Acknowledgments

The authors would like to acknowledge the Deanship of Research Oversight and Coordination, King Fahd University of Petroleum and Minerals (KFUPM) for supporting this work through project No. SB201015. The support provided by the Chemical Engineering Department (KFUPM) is also acknowledged.

Conflicts of Interest

The authors declare that they have no competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  1. Hoyos-Arbeláez, J.; Vázquez, M.; Contreras-Calderón, J. Electrochemical Methods as a Tool for Determining the Antioxidant Capacity of Food and Beverages: A Review. Food Chem. 2017, 221, 1371–1381. [Google Scholar] [CrossRef]
  2. Dodevska, T.; Hadzhiev, D.; Shterev, I. A Review on Electrochemical Microsensors for Ascorbic Acid Detection: Clinical, Pharmaceutical, and Food Safety Applications. Micromachines 2023, 14, 41. [Google Scholar] [CrossRef]
  3. Lahcen, A.A.; Amine, A. Recent Advances in Electrochemical Sensors Based on Molecularly Imprinted Polymers and Nanomaterials. Electroanalysis 2019, 31, 188–201. [Google Scholar] [CrossRef]
  4. Qian, L.; Durairaj, S.; Prins, S.; Chen, A. Nanomaterial-Based Electrochemical Sensors and Biosensors for the Detection of Pharmaceutical Compounds. Biosens. Bioelectron. 2021, 175, 112836. [Google Scholar] [CrossRef]
  5. Kant, T.; Shrivas, K.; Dewangan, K.; Kumar, A.; Jaiswal, N.K.; Deb, M.K.; Pervez, S. Design and Development of Conductive Nanomaterials for Electrochemical Sensors: A Modern Approach. Mater. Today Chem. 2022, 24, 100769. [Google Scholar] [CrossRef]
  6. Gupta, N.; Gupta, S.M.; Sharma, S.K. Carbon Nanotubes: Synthesis, Properties and Engineering Applications. Carbon Lett. 2019, 29, 419–447. [Google Scholar] [CrossRef]
  7. Gergeroglu, H.; Yildirim, S.; Ebeoglugil, M.F. Nano-Carbons in Biosensor Applications: An Overview of Carbon Nanotubes (CNTs) and Fullerenes (C60). SN Appl. Sci. 2020, 2, 603. [Google Scholar] [CrossRef] [Green Version]
  8. Nugent, J.; Santhanam, K.; Rubio, A.; Ajayan, P. Fast Electron Transfer Kinetics on Multiwalled Carbon Nanotube Microbundle Electrodes. Nano Lett. 2001, 1, 87–91. [Google Scholar] [CrossRef]
  9. Trojanowicz, M. Analytical Applications of Carbon Nanotubes: A Review. TrAC Trends Anal. Chem. 2006, 25, 480–489. [Google Scholar] [CrossRef]
  10. Cho, G.; Azzouzi, S.; Zucchi, G.; Lebental, B. Electrical and Electrochemical Sensors Based on Carbon Nanotubes for the Monitoring of Chemicals in Water—A Review. Sensors 2022, 22, 218. [Google Scholar] [CrossRef]
  11. 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]
  12. Merkoçi, A.; Pumera, M.; Llopis, X.; Pérez, B.; Del Valle, M.; Alegret, S. New Materials for Electrochemical Sensing VI: Carbon Nanotubes. TrAC—Trends Anal. Chem. 2005, 24, 826–838. [Google Scholar] [CrossRef]
  13. Schnorr, J.M.; Swager, T.M. Emerging Applications of Carbon Nanotubes. Chem. Mater. 2011, 23, 646–657. [Google Scholar] [CrossRef] [Green Version]
  14. Barsan, M.M.; Ghica, M.E.; Brett, C.M.A. Electrochemical Sensors and Biosensors Based on Redox Polymer/Carbon Nanotube Modified Electrodes: A Review. Anal. Chim. Acta 2015, 881, 1–23. [Google Scholar] [CrossRef]
  15. Naqvi, S.T.R.; Rasheed, T.; Hussain, D.; Najam ul Haq, M.; Majeed, S.; Shafi, S.; Ahmed, N.; Nawaz, R. Modification Strategies for Improving the Solubility/Dispersion of Carbon Nanotubes. J. Mol. Liq. 2020, 297, 111919. [Google Scholar] [CrossRef]
  16. Basheer, B.V.; George, J.J.; Siengchin, S.; Parameswaranpillai, J. Polymer Grafted Carbon Nanotubes—Synthesis, Properties, and Applications: A Review. Nano-Struct. Nano-Objects 2020, 22, 100429. [Google Scholar] [CrossRef]
  17. Shrivastava, S.; Jadon, N.; Jain, R. Next-Generation Polymer Nanocomposite-Based Electrochemical Sensors and Biosensors: A Review. TrAC Trends Anal. Chem. 2016, 82, 55–67. [Google Scholar] [CrossRef]
  18. Gupta, S.; Murthy, C.N.; Prabha, C.R. Recent Advances in Carbon Nanotube Based Electrochemical Biosensors. Int. J. Biol. Macromol. 2018, 108, 687–703. [Google Scholar] [CrossRef]
  19. Yun, Y.; Dong, Z.; Shanov, V.; Heineman, W.R.; Halsall, H.B.; Bhattacharya, A.; Conforti, L.; Narayan, R.K.; Ball, W.S.; Schulz, M.J. Nanotube Electrodes and Biosensors This Article Reviews the State of the Art in Carbon Nanotube Electrode. Nano Today 2007, 2, 30–37. [Google Scholar] [CrossRef]
  20. Prasek, J.; Drbohlavova, J.; Chomoucka, J.; Hubalek, J.; Jasek, O.; Adam, V.; Kizek, R. Methods for Carbon Nanotubes Synthesis—Review. J. Mater. Chem. 2011, 21, 15872–15884. [Google Scholar] [CrossRef]
  21. Manawi, Y.M.; Ihsanullah Samara, A.; Al-Ansari, T.; Atieh, M.A. A Review of Carbon Nanomaterials’ Synthesis via the Chemical Vapor Deposition (CVD) Method. Materials 2018, 11, 822. [Google Scholar] [CrossRef] [Green Version]
  22. Pant, M.; Singh, R.; Negi, P.; Tiwari, K.; Singh, Y. A Comprehensive Review on Carbon Nano-Tube Synthesis Using Chemical Vapor Deposition. Mater. Today Proc. 2021, 46, 11250–11253. [Google Scholar] [CrossRef]
  23. Ahmad, M.; Silva, S.R.P. Low Temperature Growth of Carbon Nanotubes—A Review. Carbon N. Y. 2020, 158, 24–44. [Google Scholar] [CrossRef]
  24. Rathinavel, S.; Priyadharshini, K.; Panda, D. A Review on Carbon Nanotube: An Overview of Synthesis, Properties, Functionalization, Characterization, and the Application. Mater. Sci. Eng. B Solid-State Mater. Adv. Technol. 2021, 268, 115095. [Google Scholar] [CrossRef]
  25. Hu, Z.; Peng, W.; Tian, W.; Wang, F.; Kang, X.; Zhang, Y.X.; Yue, H.; Zhang, L.; Ji, J.; Wang, S. A General Strategy for In-Situ Fabrication of Uniform Carbon Nanotubes on Three-Dimensional Carbon Architectures for Electrochemical Application. Appl. Surf. Sci. 2019, 496, 143704. [Google Scholar] [CrossRef]
  26. Shah, K.A.; Tali, B.A. Synthesis of Carbon Nanotubes by Catalytic Chemical Vapour Deposition: A Review on Carbon Sources, Catalysts and Substrates. Mater. Sci. Semicond. Process. 2016, 41, 67–82. [Google Scholar] [CrossRef]
  27. Trojanowicz, M.; Kołacińska, K. Recent Advances in Flow Injection Analysis. Analyst 2016, 141, 2085–2139. [Google Scholar] [CrossRef]
  28. Pimenta, A.M.; Montenegro, M.C.B.S.M.; Araújo, A.N.; Calatayud, J.M. Application of Sequential Injection Analysis to Pharmaceutical Analysis. J. Pharm. Biomed. Anal. 2006, 40, 16–34. [Google Scholar] [CrossRef]
  29. Pérez-Olmos, R.; Soto, J.C.; Zárate, N.; Araújo, A.N.; Lima, J.L.F.C.; Saraiva, M.L.M.F.S. Application of Sequential Injection Analysis (SIA) to Food Analysis. Food Chem. 2005, 90, 471–490. [Google Scholar] [CrossRef]
  30. Siddiqui, M.R.; AlOthman, Z.A.; Rahman, N. Analytical Techniques in Pharmaceutical Analysis: A Review. Arab. J. Chem. 2017, 10, S1409–S1421. [Google Scholar] [CrossRef] [Green Version]
  31. Lenehan, C.E.; Barnett, N.W.; Lewis, S.W. Sequential Injection Analysis. Analyst 2002, 127, 997–1020. [Google Scholar] [CrossRef]
  32. Pérez-Olmos, R.; Soto, J.C.; Zárate, N.; Araújo, A.N.; Montenegro, M.C.B.S.M. Sequential Injection Analysis Using Electrochemical Detection: A Review. Anal. Chim. Acta 2005, 554, 1–16. [Google Scholar] [CrossRef]
  33. Christian, G.D. Sequential Injection Analysis for Electrochemical Measurements and Process Analysis. Analyst 1994, 119, 2309–2314. [Google Scholar] [CrossRef]
  34. Pisoschi, A.M.; Pop, A.; Serban, A.I.; Fafaneata, C. Electrochemical Methods for Ascorbic Acid Determination. Electrochim. Acta 2014, 121, 443–460. [Google Scholar] [CrossRef]
  35. Beitollahi, H.; Movahedifar, F.; Tajik, S.; Jahani, S. A Review on the Effects of Introducing CNTs in the Modification Process of Electrochemical Sensors. Electroanalysis 2019, 31, 1195–1203. [Google Scholar] [CrossRef]
  36. Dhara, K.; Debiprosad, R.M. Review on Nanomaterials-Enabled Electrochemical Sensors for Ascorbic Acid Detection. Anal. Biochem. 2019, 586, 113415. [Google Scholar] [CrossRef]
  37. Al-Ghannam, S.M.; Al-Olyan, A.M. Differential Electrolytic Potentiometric Titration of Vitamin C in Pharmaceutical Preparations. J. Food Drug Anal. 2005, 13, 295–300. [Google Scholar] [CrossRef]
  38. Osman, A.M.; Abulkibash, A.M.; Atieh, M.A. Time-Biased Square Wave Differential Electrolytic Potentiometry for Determination of Ascorbic Acid in a Complex Matrix at Multi-Walled Carbon Nanotubes Modified Silver Electrodes. Arab. J. Chem. 2020, 13, 2955–2963. [Google Scholar] [CrossRef]
  39. Abulkibash, A.; Koken, M.; Khaled, M.; Sultan, S. Differential Electrolytic Potentiometry, a Detector in Flow Injection Analysis for Oxidation-Reduction Reactions. Talanta 2000, 52, 1139–1142. [Google Scholar] [CrossRef]
  40. Abulkibash, A.; Fraihat, S.; EL ALI, B. Flow Injection Determination of Vitamin C in Pharmaceutical Preparations by Differential Electrolytic Potentiometry. J. Flow Inject. Anal. 2009, 26, 121–125. [Google Scholar]
  41. Bishop, E. Differential Electrolytic Potentiometry with Periodic Polarisation Part XXII. Symmetrical Periodic Current Differential Electrolytic Potentiometry in Oxidation—Reduction Titrimetry. Analyst 1973, 98, 712–724. [Google Scholar] [CrossRef]
  42. United States Pharmacopoeia (USP). National Formulary. In USP-NF25; United States Pharmacopoeial Convention Inc.: Rockville, MD, USA, 2007; p. 1441. [Google Scholar]
  43. Osman, A.M.; Abulkibash, A.M.; Atieh, M.A. Fabrication of a CNT/Ag Potentiometric Sensor for Redox Reactions via Catalytic Chemical Vapor Deposition. Electrochem. Commun. 2020, 119, 106806. [Google Scholar] [CrossRef]
  44. Kang, Z.; Zhang, Y.; Zhou, M. AgNPs@CNTs/Ag Hybrid Films on Thiolated PET Substrate for Flexible Electronics. Chem. Eng. J. 2019, 368, 223–234. [Google Scholar] [CrossRef]
  45. Jatoi, A.W.; Ogasawara, H.; Kim, I.S.; Ni, Q.Q. Cellulose Acetate/Multi-Wall Carbon Nanotube/Ag Nanofiber Composite for Antibacterial Applications. Mater. Sci. Eng. C 2020, 110, 110679. [Google Scholar] [CrossRef]
  46. Sivkov, D.; Nekipelov, S.; Petrova, O.; Vinogradov, A.; Mingaleva, A.; Isaenko, S.; Makarov, P.; Ob’edkov, A.; Kaverin, B.; Gusev, S.; et al. Studies of Buried Layers and Interfaces of Tungsten Carbide Coatings on the MWCNT Surface by XPS and NEXAFS Spectroscopy. Appl. Sci. 2020, 10, 4736. [Google Scholar] [CrossRef]
  47. Soni, S.K.; Thomas, B.; Kar, V.R. A Comprehensive Review on CNTs and CNT-Reinforced Composites: Syntheses, Characteristics and Applications. Mater. Today Commun. 2020, 25, 101546. [Google Scholar] [CrossRef]
  48. Piao, Y.; Tondare, V.N.; Davis, C.S.; Gorham, J.M.; Petersen, E.J.; Gilman, J.W.; Scott, K.; Vladár, A.E.; Hight Walker, A.R. Comparative Study of Multiwall Carbon Nanotube Nanocomposites by Raman, SEM, and XPS Measurement Techniques. Compos. Sci. Technol. 2021, 208. [Google Scholar] [CrossRef]
  49. DiLeo, R.; Landi, B.; Raffaelle, R. Purity Assessment of Multiwalled Carbon Nanotubes by Raman Spectroscopy. J. Appl. Phys. 2007, 101, 064307. [Google Scholar] [CrossRef] [Green Version]
  50. Heise, H.M.; Kuckuk, R.; Ojha, A.K.; Srivastava, A.; Srivastava, V.; Asthana, B.P. Characterisation of Carbonaceous Materials Using Raman Spectroscopy: A Comparison of Carbon Nanotube Filters, Single- And Multi-Walled Nanotubes, Graphitised Porous Carbon and Graphite. J. Raman Spectrosc. 2009, 40, 344–353. [Google Scholar] [CrossRef]
  51. Lehman, J.H.; Terrones, M.; Mansfield, E.; Hurst, K.E.; Meunier, V. Evaluating the Characteristics of Multiwall Carbon Nanotubes. Carbon N. Y. 2011, 49, 2581–2602. [Google Scholar] [CrossRef]
  52. Li, W.; Zhang, H.; Wang, C.; Zhang, Y.; Xu, L.; Zhu, K.; Xie, S. Raman Characterization of Aligned Carbon Nanotubes Produced by Thermal Decomposition of Hydrocarbon Vapor. Appl. Phys. Lett. 1997, 70, 2684–2686. [Google Scholar] [CrossRef]
  53. Hashmi, M.-U.-H. Assay of Vitamins in Pharmaceutical Preparations; John Wiley and Sons: London, UK, 1973. [Google Scholar]
  54. Bishop, B.Y.E. Differential Electrolytic Potentiometry with Periodic Polarisation Part XXI. Introduction and Instrumentation. Analyst 1973, 98, 769–776. [Google Scholar] [CrossRef]
  55. El-Shabasy, M. Perspective of Adhesion of Thin Films. Period. Polytech. Electr. Eng. 1981, 25, 123–134. [Google Scholar]
  56. Li, Y.; Ye, W.; Cui, Y.; Li, B.; Yang, Y.; Qian, G. A Metal-Organic Frameworks@ Carbon Nanotubes Based Electrochemical Sensor for Highly Sensitive and Selective Determination of Ascorbic Acid. J. Mol. Struct. 2020, 1209, 127986. [Google Scholar] [CrossRef]
  57. Iranmanesh, T.; Foroughi, M.M.; Jahani, S.; Shahidi Zandi, M.; Hassani Nadiki, H. Green and Facile Microwave Solvent-Free Synthesis of CeO2 Nanoparticle-Decorated CNTs as a Quadruplet Electrochemical Platform for Ultrasensitive and Simultaneous Detection of Ascorbic Acid, Dopamine, Uric Acid and Acetaminophen. Talanta 2020, 207, 120318. [Google Scholar] [CrossRef]
  58. Bayraktepe, D.E.; Yazan, Z.; Önal, M. Sensitive and Cost Effective Disposable Composite Electrode Based on Graphite, Nano-Smectite and Multiwall Carbon Nanotubes for the Simultaneous Trace Level Detection of Ascorbic Acid and Acetylsalicylic Acid in Pharmaceuticals. Talanta 2019, 203, 131–139. [Google Scholar] [CrossRef]
  59. Huang, Z.N.; Zou, J.; Teng, J.; Liu, Q.; Yuan, M.M.; Jiao, F.P.; Jiang, X.Y.; Yu, J.G. A Novel Electrochemical Sensor Based on Self-Assembled Platinum Nanochains—Multi-Walled Carbon Nanotubes-Graphene Nanoparticles Composite for Simultaneous Determination of Dopamine and Ascorbic Acid. Ecotoxicol. Environ. Saf. 2019, 172, 167–175. [Google Scholar] [CrossRef]
  60. Huang, D.; Li, X.; Chen, M.; Chen, F.; Wan, Z.; Rui, R.; Wang, R.; Fan, S.; Wu, H. An Electrochemical Sensor Based on a Porphyrin Dye-Functionalized Multi-Walled Carbon Nanotubes Hybrid for the Sensitive Determination of Ascorbic Acid. J. Electroanal. Chem. 2019, 841, 101–106. [Google Scholar] [CrossRef]
  61. Atta, N.F.; Galal, A.; El-Gohary, A.R. Crown Ether Modified Poly(Hydroquinone)/Carbon Nanotubes Based Electrochemical Sensor for Simultaneous Determination of Levodopa, Uric Acid, Tyrosine and Ascorbic Acid in Biological Fluids. J. Electroanal. Chem. 2020, 863, 114032. [Google Scholar] [CrossRef]
  62. Baytak, A.K.; Aslanoglu, M. A Novel Sensitive Method for the Simultaneous Determination of Ascorbic Acid, Dopamine, Uric Acid and Tryptophan Using a Voltammetric Platform Based on Carbon Black Nanoballs. Arab. J. Chem. 2020, 13, 1702–1711. [Google Scholar] [CrossRef]
  63. Ma, C.; Xu, P.; Chen, H.; Cui, J.; Guo, M.; Zhao, J. An Electrochemical Sensor Based on Reduced Graphene Oxide/β-Cyclodextrin/Multiwall Carbon Nanotubes/ Polyoxometalate Tetracomponent Hybrid: Simultaneous Determination of Ascorbic Acid, Dopamine and Uric Acid. Microchem. J. 2022, 180, 107533. [Google Scholar] [CrossRef]
Nanomaterials 13 01264 sch001 550
Scheme 1. Schematic illustration of the SIA-DEP used for the determination of ascorbic acid. (1, 2) Syringe pumps, (3) peristaltic pump, (4) holding coil, (5) CNTs-Ag indicator electrodes, (6) DC/SW generator, (7) LabJack interface, (8) controlling unit, (9, 10 and 11) solution containers of sulfuric acid, ascorbic acid, and potassium iodate, respectively, (12) waste.
Scheme 1. Schematic illustration of the SIA-DEP used for the determination of ascorbic acid. (1, 2) Syringe pumps, (3) peristaltic pump, (4) holding coil, (5) CNTs-Ag indicator electrodes, (6) DC/SW generator, (7) LabJack interface, (8) controlling unit, (9, 10 and 11) solution containers of sulfuric acid, ascorbic acid, and potassium iodate, respectively, (12) waste.
Nanomaterials 13 01264 sch001
Nanomaterials 13 01264 g001 550
Figure 1. SEM images for silver metal (A) and CNTs-Ag electrode (B). (C) TEM image of MWCNTs grown on the surface of Ag metal using CVD method.
Figure 1. SEM images for silver metal (A) and CNTs-Ag electrode (B). (C) TEM image of MWCNTs grown on the surface of Ag metal using CVD method.
Nanomaterials 13 01264 g001
Nanomaterials 13 01264 g002 550
Figure 2. XRD diffractogram of the fabricated CNT-Ag electrode. The red and blue lines represent the standard JCPDS data of Ag and CNTs, respectively.
Figure 2. XRD diffractogram of the fabricated CNT-Ag electrode. The red and blue lines represent the standard JCPDS data of Ag and CNTs, respectively.
Nanomaterials 13 01264 g002
Nanomaterials 13 01264 g003 550
Figure 3. XPS analysis for the surface of CNTs-Ag electrode: (A) survey spectrum, (B,C) are the curve fittings of C 1s and O 1s spectra, respectively.
Figure 3. XPS analysis for the surface of CNTs-Ag electrode: (A) survey spectrum, (B,C) are the curve fittings of C 1s and O 1s spectra, respectively.
Nanomaterials 13 01264 g003
Nanomaterials 13 01264 g004 550
Figure 4. Raman spectrum of the as–grown CNTs on the Ag surface.
Figure 4. Raman spectrum of the as–grown CNTs on the Ag surface.
Nanomaterials 13 01264 g004
Nanomaterials 13 01264 g005 550
Figure 5. The dependence of SIA-DEP potential peak intensity and shape on the current density value, in triplicate (A) 21 µA/cm2 and (B) 63 µA/cm2. (C) show the average (n = 3) change of peak intensity with different current density values. Ascorbic acid concentration is 280.0 µM.
Figure 5. The dependence of SIA-DEP potential peak intensity and shape on the current density value, in triplicate (A) 21 µA/cm2 and (B) 63 µA/cm2. (C) show the average (n = 3) change of peak intensity with different current density values. Ascorbic acid concentration is 280.0 µM.
Nanomaterials 13 01264 g005
Nanomaterials 13 01264 g006 550
Figure 6. The dependence of SIA-DEP potential peak intensity and shape on the % bias value of SW, in triplicate (A) 10% and (B) 20%. (C) shows the average (n = 3) change of peak intensity with percent bias of the SW. Ascorbic acid concentration is 280.0 µM.
Figure 6. The dependence of SIA-DEP potential peak intensity and shape on the % bias value of SW, in triplicate (A) 10% and (B) 20%. (C) shows the average (n = 3) change of peak intensity with percent bias of the SW. Ascorbic acid concentration is 280.0 µM.
Nanomaterials 13 01264 g006
Nanomaterials 13 01264 g007 550
Figure 7. Effect of KIO3 flow rate (µL/s) on potential signal (shown as average, n = 3) for DC-DEP (A) and SW-DEP (B) methods.
Figure 7. Effect of KIO3 flow rate (µL/s) on potential signal (shown as average, n = 3) for DC-DEP (A) and SW-DEP (B) methods.
Nanomaterials 13 01264 g007
Nanomaterials 13 01264 g008 550
Figure 8. SIA-DEP potential peak intensity in triplicate of (a) 60.0, (b) 140.0, (c) 280.0, (d) 510.0, and (e) 850.0 µM of ascorbic acid at a DC current of 21 µA/cm2 (A) and calibration curve (B).
Figure 8. SIA-DEP potential peak intensity in triplicate of (a) 60.0, (b) 140.0, (c) 280.0, (d) 510.0, and (e) 850.0 µM of ascorbic acid at a DC current of 21 µA/cm2 (A) and calibration curve (B).
Nanomaterials 13 01264 g008
Nanomaterials 13 01264 g009 550
Figure 9. SIA-DEP potential peak intensity in triplicate of (a) 60.0, (b) 140.0, (c) 280.0, (d) 510.0, and (e) 850.0 µM of ascorbic acid at 20% bias of the Square wave (A) and calibration curve (B).
Figure 9. SIA-DEP potential peak intensity in triplicate of (a) 60.0, (b) 140.0, (c) 280.0, (d) 510.0, and (e) 850.0 µM of ascorbic acid at 20% bias of the Square wave (A) and calibration curve (B).
Nanomaterials 13 01264 g009
Nanomaterials 13 01264 g010 550
Figure 10. SIA-DEP potential peak intensity in triplicate for ascorbic acid in pharmaceutical sample (Redoxon) at the optimum conditions of square wave polarization mode.
Figure 10. SIA-DEP potential peak intensity in triplicate for ascorbic acid in pharmaceutical sample (Redoxon) at the optimum conditions of square wave polarization mode.
Nanomaterials 13 01264 g010
Nanomaterials 13 01264 g011 550
Figure 11. SIA-DEP potential peak intensity with time using the same electrode. Ascorbic acid concentration is 280.0 µM under the optimum conditions of SW polarization mode.
Figure 11. SIA-DEP potential peak intensity with time using the same electrode. Ascorbic acid concentration is 280.0 µM under the optimum conditions of SW polarization mode.
Nanomaterials 13 01264 g011
Nanomaterials 13 01264 g012 550
Figure 12. DEP potential peak intensity for titration of ascorbic acid with KIO3 µM under the optimum conditions of SW polarization mode, using bare Ag and CNTs-Ag electrodes.
Figure 12. DEP potential peak intensity for titration of ascorbic acid with KIO3 µM under the optimum conditions of SW polarization mode, using bare Ag and CNTs-Ag electrodes.
Nanomaterials 13 01264 g012
Table
Table 1. Analytical parameters for SIA-DEP determination of ascorbic acid at CNTs-Ag electrodes with comparison against reference standard iodimetric method. The number of measurements is 3.
Table 1. Analytical parameters for SIA-DEP determination of ascorbic acid at CNTs-Ag electrodes with comparison against reference standard iodimetric method. The number of measurements is 3.
Sample Ascorbic Acid (µM)Regression ParametersAscorbic Acid (µM)
Added DCSWSIA-DEP, DC ModeSIA-DEP, SW ModeIodimetric
Avg.(%RSD)Avg.(%RSD)Slope y-InterceptR2Slopey-InterceptR2
Pure ascorbic acid60.059.08.552.012.6267.970.10.9966491.874.00.996565.4
140.0144.04.5150.03.8148.6
280.0262.04.7299.05.0266.2
510.0540.04.15295.4497.0
850.0842.04.38372.4870.0
Redoxon
(304.0 mg/L)		-391.44.3400.03.9 383.6
%RSD = 1.9
Table
Table 2. The performance of electrodes consists of CNTs for determination of ascorbic acid using different electrochemical techniques.
Table 2. The performance of electrodes consists of CNTs for determination of ascorbic acid using different electrochemical techniques.
Electrochemical TechniqueElectrode MaterialLinear Range
(µM)		LOD
(µM)		RSD (%)SelectivityRef.
Differential pulse voltammetryMOFs/CNTs@glassy carbon200–22671.03-Yes[56]
Differential pulse voltammetryCeO2 NPs/CNTs0.01–9000.0032.4No[57]
Adsorptive stripping differential puls voltammetryNano-smectite/MWCNT@pencil graphite0.353–600.0960.106No[58]
Differential pulse voltammetryPlatinum nanochains/MWCNTs/graphene NPs100–120010.00.62–2.9No[59]
AmperometryPorphyrin-functionalized MWCNTs@GCE18.7–18500.18-Yes[60]
Cyclic voltammetryCrown ether-
poly(hydroquinone)/CNTs		0.1–500.0033-No[61]
Square wave voltammetryCarbon black nanoballs/CNTs@GCE20–4005.71-No[62]
Differential pulse voltammetryRGO/β-cyclodextrin/MWCNTs/polyoxometalate5–20000.84-No[63]
FIA/DC-DEPPt5682–1704.5--No[39]
FIA/DC-DEPPt68.2–738.651.0-No[40]
SIA/SW-DEPMWCNTs/Ag60.0–850.0142.4–12.6NoThis work
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Osman, A.M.; Hendi, A.; Osman, N.M.A. Multiwalled Carbon Nanotubes-Modified Metallic Electrode Prepared Using Chemical Vapor Deposition as Sequential Injection Analysis Detector for Determination of Ascorbic Acid. Nanomaterials 2023, 13, 1264. https://doi.org/10.3390/nano13071264

AMA Style

Osman AM, Hendi A, Osman NMA. Multiwalled Carbon Nanotubes-Modified Metallic Electrode Prepared Using Chemical Vapor Deposition as Sequential Injection Analysis Detector for Determination of Ascorbic Acid. Nanomaterials. 2023; 13(7):1264. https://doi.org/10.3390/nano13071264

Chicago/Turabian Style

Osman, Abdalghaffar M., Abdulmajeed Hendi, and Nadir M. A. Osman. 2023. "Multiwalled Carbon Nanotubes-Modified Metallic Electrode Prepared Using Chemical Vapor Deposition as Sequential Injection Analysis Detector for Determination of Ascorbic Acid" Nanomaterials 13, no. 7: 1264. https://doi.org/10.3390/nano13071264

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