Nanocellulose-Based
Ecofriendly Nanocomposite for
Effective Wastewater
Remediation: A Study on Its Process Optimization, Improved Swelling,
Adsorption, and Thermal and Mechanical Behavior
Posted on 2024-02-13 - 08:14
A nanocellulose (NC)-based cross-linked adsorbent has
been employed
herein for the removal of dye pollutants (e.g., methylene blue) from
the textile industry. The synthesized hydrogel was optimized to achieve
the best concentrations of the adsorbent constituents, i.e., 1.55%
guar gum, 1.46% NC, and 0.84% borax for achieving the maximum swelling
index (SI, 3741.42%) and higher adsorption capacity (qe, 24.05 mg g–1). 98.8% of dye qe was achieved at optimal conditions of pH 8
within 30 min at 30 °C. Adsorption isotherms and kinetics investigations
showed good correlation with the Freundlich adsorption isotherm model
(R2 > 0.9889; ΔG° = −4.71; ΔH° = −12.30;
ΔS° = −0.025) as well as the pseudo-second-order
kinetics model, indicating multilayered and intricate adsorption mechanisms
for dye removal. The study of thermodynamic parameters confirmed the
exothermic nature of the adsorption process. The adsorption–desorption
study of the resulting hydrogel exhibited 64.58% dye removal efficiency
even after 4 consecutive cycles of reuse. Further, scanning electron
microscopy, Fourier transform infrared spectroscopy, thermogravimetric
analysis, and X-ray diffraction analysis revealed the surface morphology,
functional moieties, thermal behavior, and crystallinity pattern of
the hydrogel. Rheological analysis demonstrated pseudoplastic flow
and improved mechanical behavior for the hydrogel. The current study
found that the synthesized adsorbent with a higher SI and qe has a noticeable potential for the removal
of dye pollutants from wastewater.
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Rana, Harshdeep; Anamika; Sareen, Dipti; Goswami, Saswata (1753). Nanocellulose-Based
Ecofriendly Nanocomposite for
Effective Wastewater
Remediation: A Study on Its Process Optimization, Improved Swelling,
Adsorption, and Thermal and Mechanical Behavior. ACS Publications. Collection. https://doi.org/10.1021/acsomega.3c06924