| Literature DB >> 35425431 |
Esmat M S Elfeky1, Mohamed R Shehata2, Yahia H Elbashar3, Mohammad H Barakat1, Waleed M A El Rouby4.
Abstract
The chemical oxygen demand (COD) of water bodies is an essential indicator of organic contaminants. The majority of current testing methods have the drawbacks of requiring multiple processes, being time-consuming, and requiring the use of harmful and hazardous reagents. In this work, a low-cost copper wire (Cu-wire) electrode was designed and fabricated to be used as a sensing electrode for the detection of chemical oxygen demand in water. The sensing features were developed by electrodeposition of copper nanoparticles (nano-Cu) that were prepared by fast-scan cyclic voltammetry (FSCV) deposition at the optimum preparation conditions. For improving the adherence and stability of the deposited nano-Cu thin layer, the Cu-wire electrode was scratched to increase the surface roughness. The surface morphology of the prepared nano-Cu/Cu-wire electrode was investigated by scanning electron microscope (SEM). Energy-dispersive X-ray spectrometer (EDX) was used for elemental analysis characterization. The non-modified and the nano-copper modified electrode were utilized and optimized for electrochemical assay of COD using glycine as a standard in 0.075 M NaOH as an electrolyte solution. The calibration curves (COD, mg L-1 vs. I, mA) were plotted from linear sweep voltammetry (LSV) and chronoamperometry (I-t) curves for a wide range of COD under the optimized conditions. It shows that the electroanalytical features of the proposed nano-Cu-based COD sensor exhibit a linear range from 2 to 595 mg L-1 and a lower limit of detection (LOD) of 2.6 mg L-1 (S/N = 3). The established electrochemical method demonstrated a high tolerance level to Cl- ions where 1.0 M Cl- exhibited a negligible influence. The sensor was employed for detecting the COD in diverse real water samples and the attained results were validated using the standard dichromate method. The obtained results could open the window toward using simple and cost effective tools in order to monitor the water quality. This journal is © The Royal Society of Chemistry.Entities:
Year: 2022 PMID: 35425431 PMCID: PMC8981162 DOI: 10.1039/d1ra09411d
Source DB: PubMed Journal: RSC Adv ISSN: 2046-2069 Impact factor: 3.361
Fig. 1SEM images (A, B) and EDX analysis (C, D) for non-modified Cu-wire and nano-Cu/Cu-wire electrodes respectively.
Fig. 2Cyclic voltammogram of Cu-wire electrode in 0.075 M NaOH over a potential scan window −0.1 V to +0.7 V and scan rate 100 mV s−1 at 25 °C.
Fig. 3FSCV deposition of Cu particles at scan rate 100 mV s−1 and 25 °C.
Fig. 4(A) FSCV deposition of Cu film at different (n); (B) the relation between (n) and the cathodic peak current (I, μA) obtained from CV, (C) LSVs in 75 mg L−1 gly/0.075 M NaOH for nano-Cu sensors prepared at different (n) at 25 °C and (D) the relation between (n) and the anodic peak current (I, mA) obtained from LSV.
Fig. 5(A) LSVs response of the nano-Cu/Cu-wire in 0.075 mg L−1 NaOH solution containing 75 mg L−1 glycine (B) linear relationship between the oxidation current and square root of scan rate, (C) examine the effect of temperature on the oxidation response, and (D) the linear plot between the oxidation current and temperature.
Fig. 6(A) (I–t) response curves of modified and non-modified Cu electrodes at different COD concentrations; inset of (A) is the response at lower COD concentrations. (B) Calibration curves of modified and non-modified Cu electrodes; inset of (B) is at lower COD concentrations.
Data on COD analysis by dichromate methods and sensing methods for real water samples and synthetic samples
| COD values (mg L−1) | Recovery (%) | Relative error (%) | ||
|---|---|---|---|---|
| COD (nano-Cu sensor) | COD (di-chromate) | |||
|
| ||||
| 1 | 39.9 | 40.6 | 101.6 | 1.6 |
| 2 | 119.9 |
|
| 1.7 |
| 3 | 47.4 | 54.2 |
| 12.6 |
| 4 | 30.6 | 30.5 | 99.8 | −0.3 |
| 5 | 17.0 | 17.0 | 99.9 | −0.6 |
|
| ||||
| 1 | 69.20 | 73.4 | 106.1 | 5.7 |
| 2 | 102 | 111.9 | 109.7 | 8.8 |
| 3 | 62.8 | 62.9 | 100.2 | 0.2 |
| 4 | 39.1 | 39.3 | 100.5 | 0.5 |
| 5 | 42.6 | 42.9 | 100.6 | 0.7 |
Fig. 7Co-relation between the data obtained from the analysis of COD by dichromate method for real water samples and synthetic samples in comparison with the data obtained by the nano-Cu sensor.
Comparison of proposed COD sensors with the reported nano-material based COD sensors
| Sensor type | Target electro active species | Detection limit (mg L−1) | Linear range (mg L−1) | Electrode fouling (M) | Reproducibility (%) | Stability (%) |
|---|---|---|---|---|---|---|
| F-PdO2 sensor[ | Glucose | 15.5 | 100 to 1200 | If (CCl−/COD < 2.5) has no effect | 0.8 | 15 day deviate the response by ±5% |
| Activated Cu electrode[ | Glucose | 20.3 | 53.0 to 2801.4 | Sulphur-containing organics | ND | 15 day period |
| WO3/W nanopores[ | Light intensity of 214 μW cm−2 | 1.0 | 3 to 60 | ND | ND | ND |
| Nano-Ni/GCE[ | Glucose | 1.1 | 10 to 1533 | 0.02 | 4.7 | ≤5.5 |
| NiCu-alloy/GCE[ | Glucose | 1.0 | 10 to 1533 | 1.0 M has no effect on response | 3.6 | RSD = 4.2% of a series of NiCu/GCE sensors |
| Boron doped diamond (BDD)[ | Glucose, KHP, phenol | 7.5 | 20 to 9000 | ND | 1.87 | 4.31 |
| Pt-ring + Pt/PbO2-disk[ | Glucose, indigo, HQ | 15 | 10 to 500 & 500 to 5000 | ND | ND | Exhibits high stability |
| AgO–CuO sensor[ | AgO–CuO | 4.3 | 5 to 1400 | ND | Electrodes exhibit a high reproducibility, robustness, and storage stability for at least 1 year without renewal of the CPE surface | |
| Activated GCE electrode[ | Real water sample | 0.33 | 3.9 to 58.3 studied range | 0.02 | 5.6 to 8.7 | ND |
| A self-supported CuO/Cu nanowire electrode[ | Glucose, ascorbic acid, lactose and glycine | 2.3 | 5 to 1153 | 1.0 | 2.23 | 3.48 |
| Co-oxide/GCE[ | Real water sample | 1.1 | 1.7 to 170 | 0.02 | 5.7 | ND |
| Nafion CuO/Cu electrode[ | Glucose | 2.11 | 50 to 1000 | 10 mg L−1 by Cl− interference | 6.03 | |
| TiO2/Ti/TiO2-Pt[ | KHP | 9.5 | 10 to 1533 | 1400 mg L−1 Cl− | 3.6 | Good stability |
| Anatase-branch@hydrogenated rutile-nanorod TiO2 (AB@H-RTNR) photoelectrode[ | 6 carbon source (glucose, glycine, | 0.2 | 1.25 to 576 | ND | 1.5 | Stable for 3000 measurement |
| This article nano-Cu/Cu-wire electrode | Glycine | 2.6 | 2 to 595 | 1.0 M Cl− & 0.01 M NO2− | 1.10 | Storing in air (stable about one week with no change) |
| Storing in water (stability enhanced for at least 1 year) |