| Literature DB >> 33927300 |
Sopit Phetsang1,2,3, Pinit Kidkhunthod4, Narong Chanlek4, Jaroon Jakmunee1,5,6, Pitchaya Mungkornasawakul1,5,7, Kontad Ounnunkad8,9,10,11.
Abstract
Numerous studies suggest that modification with functional nanomaterials can enhance the electrode electrocatalytic activity, sensitivity, and selectivity of the electrochemical sensors. Here, a highly sensitive and cost-effective disposable non-enzymatic glucose sensor based on copper(II)/reduced graphene oxide modified screen-printed carbon electrode is demonstrated. Facile fabrication of the developed sensing electrodes is carried out by the adsorption of copper(II) onto graphene oxide modified electrode, then following the electrochemical reduction. The proposed sensor illustrates good electrocatalytic activity toward glucose oxidation with a wide linear detection range from 0.10 mM to 12.5 mM, low detection limit of 65 µM, and high sensitivity of 172 μA mM-1 cm-2 along with satisfactory anti-interference ability, reproducibility, stability, and the acceptable recoveries for the detection of glucose in a human serum sample (95.6-106.4%). The copper(II)/reduced graphene oxide based sensor with the superior performances is a great potential for the quantitation of glucose in real samples.Entities:
Year: 2021 PMID: 33927300 PMCID: PMC8085015 DOI: 10.1038/s41598-021-88747-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Schematic illustration. Fabrication of non-enzymatic glucose sensor based on the Cu(II)/rGO nanocomplex-modified SPCE and its application in glucose detection.
Figure 2FE-SEM images of bare SPCE (a) and GO- (b), Cu(II)/GO- (c), rGO- (d), and Cu(II)/rGO- (e) modified SPCEs.
Figure 3XPS and XAS analysis. (a) Wide scan XPS spectra of Cu(II)/GO- and Cu(II)/rGO-modified electrodes, (b) C1s XPS spectrum of Cu(II)/GO-modified electrode, (c) C1s XPS spectrum of Cu(II)/rGO-modified electrode, and (d) normalized Cu K-edge XANES spectra of standard Cu(II) (CuSO4), standard Cu(I) (Cu2O), and Cu(II)/GO- and Cu(II)/rGO-modified electrodes.
Figure 4Non-enzymatic detection of glucose. (a) CVs of different modified electrodes; bare SPCE, and GO-, and GO/Cu(II)-modified SPCE and (b) CVs of bare SPCE, and rGO-, and rGO/Cu(II)-modified SPCE in 0.10 M NaOH solution with the absence and presence of glucose at a scan rate of 50 mV s–1. (c) Chronoamperograms from different glucose concentrations (0.10–12.50 mM) using Cu(II)/rGO-modified electrode at an operating potential of 0.50 V in 0.10 M NaOH solution and (d) the corresponding calibration graph.
Comparison of electrocatalytic performances of Cu-based electrodes for electrochemical non-enzymatic glucose sensors.
| Electrodes | Potential (V) | Sensitivity (µA mM–1 cm–2) | Linear range (mM) | Detection limit (µM) | Refs |
|---|---|---|---|---|---|
| Cu(II)-C3N4/MWCNTs/GCE | + 0.60 | 929 | 0.0005–12 | 0.35 | [ |
| NiO-TiO2/GCE | + 0.50 | 24.85 | 0.002–2.0 | 0.7 | [ |
| DMG-CuNPs/GCE | + 0.65 | – | 0.001–3.0 | 0.5 | [ |
| DPNs/GCE | + 0.50 | 12.10 | 1.0–20 | 1.2 | [ |
| CuO(NP)/rGO/PGE | + 0.45 | 4760 | 0.0001–0.15 | 0.09 | [ |
| Cu/G | + 0.40 | 145.52 | 0.01–0.2 | 2.47 | [ |
| Cu2O/GWs/CFP | + 0.55 | – | 0.0005–5.16 | 0.21 | [ |
| Nafion/CuNPs-N-GP/GCE | + 0.50 | 48.13 | 0.004–4.5 | 1.3 | [ |
| CuNPs-GP nanoflowers/GCE | + 0.30 | 11.3 | 0.005–0.90 and 0.90–11.0 | 1.0 | [ |
| rGO-Ni(OH)2/GCE | + 0.54 | 11.43 | 0.002–3.1 | 0.6 | [ |
| CuNPs-MWCNTs/GCE | + 0.55 | 1096 | Up to 7.5 | 1.0 | [ |
| Ni(OH)2/rGO/MWCNT/GCE | + 0.54 | 2042 | 0.01–1.5 | 2.7 | [ |
| Cu2O/PtE | + 0.55 | 507 | 0.1–2.5 | 26 | [ |
| CuNPs/GP/GCE | + 0.50 | 607 | 0.005–1.4 | 0.2 | [ |
| Cu(II)/rGO/SPCE | + 0.50 | 171.95 | 0.10–12.5 | 65 | This work |
CuNPs copper nanoparticles, Cu(II) copper(II) ion, GCE glassy carbon electrode, MWCNTs multi-walled carbon nanotubes, CN graphitic carbon nitride, CuNPs-N-GP copper nanoparticles decorated nitrogen-doped GP, DMG dimethylglycoxime, rGO reduced graphene oxide, SPCE screen-printed carbon electrode, DPNs three-dimensional dendritic Pt nanostructures, NiO nikle oxide, Ni(OH) nikle hydroxide nanoparticles, TiO nanostructured titanium dioxide, CuO(NP) copper oxide nanoparticles, PGE pencil graphite electrode, G glass substrate, CuO copper oxide nanoparticles, GWs three-dimensional graphene wall, CFP carbon fiber paper, PtE platinum electrode.
Figure 5Anti-interference study and stability test. (a) Interference study of glucose sensor; the responses of 0.10 mM AA, DA, UA, Su, KCl, and NaCl in the presence and absence of 1.0 mM glucose at the fabricated glucose sensor, applied working potential of 0.50 V and (b) stability test of Cu(II)/rGO based glucose sensor; current responses of 2.5 mM glucose detection.
Determination of glucose in human serum sample by our proposed Cu(II)/rGO film modified electrode.
| Glucose concentration (mM) | Recovery (%) | R.S.Da (%) | |
|---|---|---|---|
| Spiked amount | Found | ||
| 0.05 | 0.52 | 103.5 | 1.53 |
| 1.00 | 1.06 | 106.4 | 1.51 |
| 2.50 | 2.53 | 101.1 | 1.19 |
| 4.00 | 4.20 | 105.0 | 1.58 |
| 5.00 | 4.78 | 95.63 | 4.96 |
aRelative standard deviation (R.S.D.) or the coefficient of variation is used to determine if the standard deviation of data set is small or large when compared to the average. The R.S.D. of data set can be presented as either a percentage or as a number. The higher R.S.D. refers that the more spread out the results are from the mean of the data. On the other hand, a lower R.S.D. indicates that the measurement of data is more precise.