Poly(sodium styrene sulfonate)-Grafted SiO2 Nanoparticle: Synthesis and Use as a Water-Insoluble Dispersant for Coal Water Slurry

This study introduces a novel water-insoluble dispersant for coal water slurry (CWS), namely, a poly(sodium styrene sulfonate)-<i>grafted</i> SiO<sub>2</sub> nanoparticle (SiO<sub>2</sub>-<i>g</i>-PSSNa). SiO<sub>2</sub>-<i>g</i>-PSSNa was synthesized by combining the surface acylation reaction with surface-initiated atom transfer radical polymerization (SI-ATRP). Fourier transform infrared spectrometry (FTIR), X-ray photoelectron spectroscopy (XPS), energy dispersive spectrometer (EDS), nuclear magnetic resonance spectroscopy (NMR) and thermogravimetric analysis (TGA) verified that SiO<sub>2</sub>-<i>g</i>-PSSNa with the desired structure was successfully obtained. Afterwards, the performance of SiO<sub>2</sub>-<i>g</i>-PSSNa as a dispersant in CWS preparation was evaluated. The results indicated that the optimal dosage of SiO<sub>2</sub>-<i>g</i>-PSSNa was 0.3%. Compared to the famous commercial products, PSSNa and lignosulfonate (LS), SiO<sub>2</sub>-<i>g</i>-PSSNa exhibits improved viscosity reduction performance. When SiO<sub>2</sub>-<i>g</i>-PSSNa was used as the dispersant, the maximum coal loading of CWS was 64.2%, which was higher than LS (63.4%) and PSSNa (63.9%). All CWSs obtained in this study were pseudoplastic fluids and more consistent with the Herschel-Bulkley rheological model. The turbiscan stability index (TSI) of CWS prepared with SiO<sub>2</sub>-<i>g</i>-PSSNa was 0.05, which was significantly lower than CWSs obtained from PSSNa (0.30) and LS (0.36). Therefore, SiO<sub>2</sub>-<i>g</i>-PSSNa also exhibits excellent stability performance. This result was confirmed by rod penetration tests. The underlying mechanism was also clarified by various measurements, such as contact angle, zeta potential, EDS and low-field nuclear magnetic resonance spectra (low-field NMR). The results reveal that SiO<sub>2</sub>-<i>g</i>-PSSNa can adsorbed onto the coal surface. SiO<sub>2</sub>-<i>g</i>-PSSNa possesses a special branched structure, which bears a higher charge density as compared to linear ones with approximate chemical composition. As a result, coal particles adsorbed with SiO<sub>2</sub>-<i>g</i>-PSSNa exhibit more electronegativity. With the enhancement of the electrostatic repulsive between coal particles, the apparent viscosity was lowered and the static stability was improved. This study demonstrated that solubility in water is not an essential factor in engineering the dispersant. Densely charged groups are probably more important.

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Publication Details

Journal
Polymers
Published
2024-12-25
DOI
https://doi.org/10.3390/polym17010021
Citations
5
Primary Topic
Coal Combustion and Slurry Processing
Type
article
Field-Weighted Citation Impact
1.06

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article

Poly(sodium styrene sulfonate)-Grafted SiO2 Nanoparticle: Synthesis and Use as a Water-Insoluble Dispersant for Coal Water Slurry

Junfeng Zhu, Wanbin Zhang, Kangmin Zhang, Guanghua Zhang et al.
5 citations
Polymers
Coal Combustion and Slurry Processing
1.06
article

Poly(sodium styrene sulfonate)-Grafted SiO2 Nanoparticle: Synthesis and Use as a Water-Insoluble Dispersant for Coal Water Slurry

Junfeng Zhu, Wanbin Zhang, Kangmin Zhang, Guanghua Zhang, Ce Zhang, Ruijun Liu
article en
5 citations

Abstract

This study introduces a novel water-insoluble dispersant for coal water slurry (CWS), namely, a poly(sodium styrene sulfonate)-<i>grafted</i> SiO<sub>2</sub> nanoparticle (SiO<sub>2</sub>-<i>g</i>-PSSNa). SiO<sub>2</sub>-<i>g</i>-PSSNa was synthesized by combining the surface acylation reaction with surface-initiated atom transfer radical polymerization (SI-ATRP). Fourier transform infrared spectrometry (FTIR), X-ray photoelectron spectroscopy (XPS), energy dispersive spectrometer (EDS), nuclear magnetic resonance spectroscopy (NMR) and thermogravimetric analysis (TGA) verified that SiO<sub>2</sub>-<i>g</i>-PSSNa with the desired structure was successfully obtained. Afterwards, the performance of SiO<sub>2</sub>-<i>g</i>-PSSNa as a dispersant in CWS preparation was evaluated. The results indicated that the optimal dosage of SiO<sub>2</sub>-<i>g</i>-PSSNa was 0.3%. Compared to the famous commercial products, PSSNa and lignosulfonate (LS), SiO<sub>2</sub>-<i>g</i>-PSSNa exhibits improved viscosity reduction performance. When SiO<sub>2</sub>-<i>g</i>-PSSNa was used as the dispersant, the maximum coal loading of CWS was 64.2%, which was higher than LS (63.4%) and PSSNa (63.9%). All CWSs obtained in this study were pseudoplastic fluids and more consistent with the Herschel-Bulkley rheological model. The turbiscan stability index (TSI) of CWS prepared with SiO<sub>2</sub>-<i>g</i>-PSSNa was 0.05, which was significantly lower than CWSs obtained from PSSNa (0.30) and LS (0.36). Therefore, SiO<sub>2</sub>-<i>g</i>-PSSNa also exhibits excellent stability performance. This result was confirmed by rod penetration tests. The underlying mechanism was also clarified by various measurements, such as contact angle, zeta potential, EDS and low-field nuclear magnetic resonance spectra (low-field NMR). The results reveal that SiO<sub>2</sub>-<i>g</i>-PSSNa can adsorbed onto the coal surface. SiO<sub>2</sub>-<i>g</i>-PSSNa possesses a special branched structure, which bears a higher charge density as compared to linear ones with approximate chemical composition. As a result, coal particles adsorbed with SiO<sub>2</sub>-<i>g</i>-PSSNa exhibit more electronegativity. With the enhancement of the electrostatic repulsive between coal particles, the apparent viscosity was lowered and the static stability was improved. This study demonstrated that solubility in water is not an essential factor in engineering the dispersant. Densely charged groups are probably more important.

PolymersVol. 17(1)
Shaanxi University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shaanxi Province, Shaanxi University of Science and Technology
Clean water and sanitation
Openalex Percentile: Top 25%
Coal Combustion and Slurry Processing
1.06
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