Optimised Operating Conditions and Performance Landscape of Metal-Doped Carbon Dots for Dye Decolourisation in Water Treatment Systems
Abstract
1. Introduction
2. Materials and Methods
2.1. Reagents and Solutions
2.2. Synthesis of Metal-Doped CDs
2.3. Fourier-Transform Infrared Spectroscopy (FTIR)
2.4. Zeta Potential
2.5. Decolourisation Experiments
2.6. Reactive Oxygen Species (ROS) Assays
2.7. Kinetic Modelling
2.8. Experimental Design and Analysis (Taguchi Approach)
- Design. An L27 (313) orthogonal array was used to allocate three-level factors across 27 runs. In the main array, T, [H2O2]0, and pH were set at three practical levels each (e.g., representative low/medium/high settings); other controllable variables (e.g., CD dose, sampling horizon) were fixed to isolate their effects [56,57,58,59]. Dye identity (MB vs. RB) and CD identity (Fe-, Cu-, Zn-, Mg-doped) were evaluated via blocked/stratified execution of the same L27 across dye/CD sets so that the three-level factors remained balanced; pooled ANOVA across strata was used to compare trends while avoiding mixed-level confounding.
- Response metrics. Primary responses were apparent pseudo-first-order rate constant (k_app) (larger the better) and/or t90 (smaller the better). Secondary responses (endpoint removal at fixed time; oxidant economy) were recorded for trade-off analysis [60].
- Signal-to-noise (S/N) ratios. For each trial i in a condition set of size n, a larger k_app or % removal is better. The corresponding S/N ratio was calculated using the larger-the-better criterion:
- Analysis of effects. Main-effect plots and Δ(S/N) contrasts were used to rank factor influence. ANOVA on S/N and on the raw response (k_app or t90) were used to quantify contributions and significance; normality/variance were checked, and non-parametric substitutes were applied if assumptions were violated [61].
- Optimum prediction and confirmation. The predicted optimum was obtained by superposing best levels from main-effect means/S/N [62]. Confirmation runs at the predicted settings were conducted to verify gains and to compute absolute/relative error against predictions; where applicable, minimal-dosage operating points (lowest [H2O2]0 achieving the target removal within the time constraint) were identified to support oxidant-economy claims [63].
- Table S1 in Supplementary Files shows the experimental design matrix for Taguchi optimisation, with a total of 54 runs for each CD, including replicates. “a” series represent assessment for RB. For instance, runs 1–6 (number in black colour) represent Mg-CD-catalysed MB, and runs 1a–6a (number in red colour) represent Mg-CD-catalysed RB. Three sets of control groups were used: 1, dyes + pH buffer; 2, dyes + hydrogen peroxide; 3, dyes + CDs + pH buffer. Absorbance was measured by UV–Vis spectroscopy at specific wavelengths (around 664 nm for MB and 554 nm for RB) over a duration of 300 min of degradation time [64].
2.9. Quality Control, Statistics, and Safety
3. Result and Discussion
3.1. Decolourisation of MB and RB Under Varying Conditions
3.2. FTIR Analysis of M-CDs Before and After Catalytical Reactions
3.2.1. Surface Functional Group (O–H, C=O, C-N, C–O–C)
3.2.2. Metal–Oxygen Coordination (M–O Bond)
3.3. Zeta-Potential Analysis
3.3.1. MB Interaction Trends
- Fe-CDs: −25.4 → −7.8 mV;
- Cu-CDs: −21.4 → −6.7 mV;
- Mg-CDs: −30.7 → −15.3 mV;
- Zn-CDs: −28.6 → −26.6 mV.
3.3.2. RB Interaction Trends
- Fe-CDs: −25.4 → −19.6 mV;
- Cu-CDs: −21.4 → −15.1 mV;
- Zn-CDs: −28.6 → −14.2 mV;
- Mg-CDs: −30.7 → −9.1 mV.
3.3.3. Comparison of the Interactions Between Methylene Blue and Rhodamine B with CDs
3.4. Reactive Oxygen Species Identification
3.5. Integrated Mechanistic Analysis of Zn-CDs: Zeta Potential, FTIR, and ROS
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Metal-CDs | Dye | Final Decol. (%) | k (min−1) | t90 (min) | Experimental Conditions (pH/T/H2O2 mL) | Proposed Mechanism (Description) |
|---|---|---|---|---|---|---|
| Mg-CDs | MB | 100 | 0.0229 | 112 | pH 7/50 °C/1.0 mL | Surface-mediated photo-Fenton-like process; •OH and •O2− generation assisted by surface adsorption and polar sites |
| Mg-CDs | RB | 99 | 0.0169 | 142 | pH 7/50 °C/1.0 mL | Photo-Fenton synergy; adsorption-controlled oxidation with weaker electrostatic interaction for RB |
| Cu-CDs | MB | 100 | 0.0213 | 94 | pH 7/50 °C/1.5 mL | Cu2+/Cu+ redox cycling activating H2O2 to produce •OH; efficient electron transfer at neutral pH |
| Cu-CDs | RB | 100 | 0.0204 | 65 | pH 7/50 °C/1.5 mL | Cu-mediated Fenton-like reaction with π–π and electrostatic adsorption synergy |
| Zn-CDs | MB | 100 | 0.0156 | 162 | pH 7/25 °C/1.5 mL | Lewis-acid Zn sites and photo-induced electron transfer forming •OH/•O2− radicals |
| Zn-CDs | RB | 97 | 0.0170 | 155 | pH 7/25 °C/1.5 mL | Similar photo-oxidation mechanism; lower rate due to zwitterionic structure of RB |
| Fe-CDs | MB | 100 | 0.0228 | 112 | pH 7/50 °C/0.5 mL | Classical Fe2+/Fe3+ Fenton cycle stabilised on CD surface; photo-induced redox enhancement |
| Fe-CDs | RB | 98 | 0.0222 | 123 | pH 7/50 °C/0.5 mL | Surface-bound Fe sites driving ROS generation with slower adsorption of RB molecules |
| CD | Before (cm−1) | After MB (cm−1) | Shift | After RB (cm−1) | Shift |
|---|---|---|---|---|---|
| Fe-CDs | 1397 | 1474 | +77 | 1415 | +18 |
| Mg-CDs | 1397 | 1440 | +43 | 1417 | +20 |
| Cu-CDs | 1397 | 1420 | +23 | 1400 | +3 |
| Zn-CDs | 1397 | 1420 | +23 | 1400 | +3 |
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Chen, W.; Yin, H.; Anpalagan, K.; King, H.L.; Ball, A.S.; Cole, I. Optimised Operating Conditions and Performance Landscape of Metal-Doped Carbon Dots for Dye Decolourisation in Water Treatment Systems. Water 2026, 18, 954. https://doi.org/10.3390/w18080954
Chen W, Yin H, Anpalagan K, King HL, Ball AS, Cole I. Optimised Operating Conditions and Performance Landscape of Metal-Doped Carbon Dots for Dye Decolourisation in Water Treatment Systems. Water. 2026; 18(8):954. https://doi.org/10.3390/w18080954
Chicago/Turabian StyleChen, Weiyun, Hong Yin, Karthiga Anpalagan, Horace Leonard King, Andrew S. Ball, and Ivan Cole. 2026. "Optimised Operating Conditions and Performance Landscape of Metal-Doped Carbon Dots for Dye Decolourisation in Water Treatment Systems" Water 18, no. 8: 954. https://doi.org/10.3390/w18080954
APA StyleChen, W., Yin, H., Anpalagan, K., King, H. L., Ball, A. S., & Cole, I. (2026). Optimised Operating Conditions and Performance Landscape of Metal-Doped Carbon Dots for Dye Decolourisation in Water Treatment Systems. Water, 18(8), 954. https://doi.org/10.3390/w18080954

