Colorimetric detection and removal of copper(II) ions from wastewater using a Griess reagent and cellulose nanofibers supported with mesoporous silica nanoparticles: An ImageJ and CIELAB colour space-based analytical approach

• Synthesis and characterization of CNF-MSN composite for removal of copper in real water environment. • The addition of Griess reagent in CNF-MSN composites led to the colour transformation when Cu (II) is present indicating the presence of copper. • The ImageJ approach and UV-Vis were used to detect Cu (II) in water samples. • CNF-MSN composite demonstrated potential for the adsorption of Cu (II) ion from tap, wastewater, and deionised water. • The adsorption results fitted Dubinin-Radushkevich isotherm and pseudo-second order This study presents a green, cost-effective, and dual-function approach for the colorimetric detection and removal of copper ions (Cu(II)) in wastewater, utilizing a cellulose nanofiber–mesoporous silica nanoparticle (CNF-MSN) composite in conjunction with the Griess reagent. The CNF-MSN composite was synthesized via a sol–gel process using cellulose nanofibers derived from natural biomass. Comprehensive characterization using FTIR, SEM, XRD, BET, TEM, and TGA confirmed the successful integration of CNF and MSN, with TEM revealing a web-like nanofiber structure (∼33 nm) and SEM showing mesoporous silica nanoparticles (2–50 nm). Hydrogen bonding between CNF hydroxyl groups and MSN silanol groups was indicated by O–H stretching shifts. For Cu(II) detection, the CNF-MSN composite produced a visible purple color change upon reaction with the Griess reagent across 1–5 mg/L Cu(II) standards. Color intensity and RGB values were quantified using ImageJ, converted to CIEXYZ and CIELAB (Lab) values, resulting in a linear response (R² = 0.9956) over the range of 0.01–5 mg/L, with a detection limit of 0.001521 mg/L. The UV-Vis spectrophotometric method validated the ImageJ approach, yielding an R² value of 0.9993 and a detection limit of 0.006253 mg/L. For Cu(II) adsorption, CNF-MSN removed nearly 100% of Cu(II) within 45 minutes at pH 4–6, outperforming individual CNF and MSN with an adsorption capacity of 0.0978 mg/g and 97.85% removal efficiency. In real samples, removal efficiencies ranged from 94.1% to 99.1%, with a maximum adsorption capacity of 38.9 mg/g. The adsorption data fit the Dubinin–Radushkevich isotherm (R² = 0.980) and the pseudo-second-order kinetics (R² = 0.999). Overall, the CNF-MSN composite offers a sustainable and efficient material for detecting and remediating Cu(II) in water systems.

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Journal
Next research.
Published
2025-10-28
DOI
https://doi.org/10.1016/j.nexres.2025.100983
Primary Topic
Adsorption and biosorption for pollutant removal
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article
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article

Colorimetric detection and removal of copper(II) ions from wastewater using a Griess reagent and cellulose nanofibers supported with mesoporous silica nanoparticles: An ImageJ and CIELAB colour space-based analytical approach

Jerome Andrew, Thabang Hendrica Mokhothu, Sindisiwe Fortunate Shange, Asanda Mtibe et al.
Next research.
Adsorption and biosorption for pollutant removal
article

Colorimetric detection and removal of copper(II) ions from wastewater using a Griess reagent and cellulose nanofibers supported with mesoporous silica nanoparticles: An ImageJ and CIELAB colour space-based analytical approach

Jerome Andrew, Thabang Hendrica Mokhothu, Sindisiwe Fortunate Shange, Asanda Mtibe, Aneswa M. Ninela
article en

Abstract

• Synthesis and characterization of CNF-MSN composite for removal of copper in real water environment. • The addition of Griess reagent in CNF-MSN composites led to the colour transformation when Cu (II) is present indicating the presence of copper. • The ImageJ approach and UV-Vis were used to detect Cu (II) in water samples. • CNF-MSN composite demonstrated potential for the adsorption of Cu (II) ion from tap, wastewater, and deionised water. • The adsorption results fitted Dubinin-Radushkevich isotherm and pseudo-second order This study presents a green, cost-effective, and dual-function approach for the colorimetric detection and removal of copper ions (Cu(II)) in wastewater, utilizing a cellulose nanofiber–mesoporous silica nanoparticle (CNF-MSN) composite in conjunction with the Griess reagent. The CNF-MSN composite was synthesized via a sol–gel process using cellulose nanofibers derived from natural biomass. Comprehensive characterization using FTIR, SEM, XRD, BET, TEM, and TGA confirmed the successful integration of CNF and MSN, with TEM revealing a web-like nanofiber structure (∼33 nm) and SEM showing mesoporous silica nanoparticles (2–50 nm). Hydrogen bonding between CNF hydroxyl groups and MSN silanol groups was indicated by O–H stretching shifts. For Cu(II) detection, the CNF-MSN composite produced a visible purple color change upon reaction with the Griess reagent across 1–5 mg/L Cu(II) standards. Color intensity and RGB values were quantified using ImageJ, converted to CIEXYZ and CIELAB (Lab) values, resulting in a linear response (R² = 0.9956) over the range of 0.01–5 mg/L, with a detection limit of 0.001521 mg/L. The UV-Vis spectrophotometric method validated the ImageJ approach, yielding an R² value of 0.9993 and a detection limit of 0.006253 mg/L. For Cu(II) adsorption, CNF-MSN removed nearly 100% of Cu(II) within 45 minutes at pH 4–6, outperforming individual CNF and MSN with an adsorption capacity of 0.0978 mg/g and 97.85% removal efficiency. In real samples, removal efficiencies ranged from 94.1% to 99.1%, with a maximum adsorption capacity of 38.9 mg/g. The adsorption data fit the Dubinin–Radushkevich isotherm (R² = 0.980) and the pseudo-second-order kinetics (R² = 0.999). Overall, the CNF-MSN composite offers a sustainable and efficient material for detecting and remediating Cu(II) in water systems.

Next research.Vol. 2(4)
Durban University of Technology (ZA), Council for Scientific and Industrial Research (ZA), University of Mpumalanga (ZA)
Openalex Percentile: Top 71%
Adsorption and biosorption for pollutant removal
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