| Literature DB >> 32363299 |
Zhengwen Wei1,2, Yaoyao Zhang1,2, Wei Wang1,2, Suiming Dong1,2, Tingbo Jiang1,2, Donghui Wei1,2.
Abstract
This study investigated the adsorption behaviors of pyrene (Entities:
Year: 2020 PMID: 32363299 PMCID: PMC7191855 DOI: 10.1021/acsomega.0c00689
Source DB: PubMed Journal: ACS Omega ISSN: 2470-1343
Figure 1SEM micrographs of (a, b) PPA, (c, d) PPB, (e, f) NPP, (g, h) HPP, and (i, j) DPDMS-NPP.
Elemental, BET, and Pore Parameters Analysis of PPA, PPB, HPP, NPP, and DPDMS-NPP
| elemental
analysis (% mass) | BET
and pore parameters analysis | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| sample | C | N | H | O | Si | O/C | H/C | pore size (nm) | |||
| PPA | 46.58 | 1.98 | 5.82 | 41.86 | 0.8987 | 0.1249 | 2.26 | ||||
| PPB | 52.16 | 1.06 | 2.92 | 26.25 | 0.5033 | 0.0559 | 76.24 | 0.04 | 0.02 | 6.76 | |
| NPP | 76.85 | 2.96 | 1.06 | 13.69 | 0.1781 | 0.0138 | 726.79 | 0.36 | 0.19 | 2.23 | |
| HPP | 72.62 | 2.68 | 4.52 | 15.63 | 0.2152 | 0.0622 | 236.35 | 0.09 | 0.04 | 2.03 | |
| DPDMS-NPP | 80.21 | 0.98 | 1.48 | 15.36 | 1.62 | 0.1915 | 0.0185 | 698.52 | 0.32 | 0.15 | 1.91 |
Figure 2FTIR spectra of PPA, PPB, HPP, NPP, and DPDMS-NPP.
Figure 3(a) Adsorption capacities and (b) removal rate of different materials (PPA, PPB, HPP, NPP, and DPDMS-NPP).
Figure 4Effect of the experimental parameters on PYR adsorption by PPA, NPP, and DPDMS-NPP: (a) adsorbent dosage effect and (b) initial concentration effect.
Figure 5Kinetics of PYR adsorption on PPA, NPP, and DPDMS-NPP by fitting (a) pseudo-first-order, (b) pseudo-second-order, (c) Weber–Moris intraparticle diffusion, and (d) Weber–Morris adsorption diffusion models.
Parameters of the Pseudo-First-Order Kinetic Model, Pseudo-Second-Order Kinetics Model, Intraparticle Diffusion Model, Weber–Morris Adsorption Diffusion Model, and Langmuir, Freundlich, and Temkin for PYR Adsorption onto NPP, PPA, and DPDMS-NPP
| models | parameters | NPP | PPA | DPDMS-NPP |
|---|---|---|---|---|
| pseudo-first-order model | 188.65 | 37.116 | 275.19 | |
| 0.128 | 0.1796 | 0.1479 | ||
| 0.9619 | 0.9522 | 0.9011 | ||
| pseudo-second-order model | 316.46 | 54.495 | 448.43 | |
| 0.00113 | 0.00969 | 0.000689 | ||
| 0.9985 | 0.9994 | 0.9962 | ||
| intraparticle diffusion model | 80.571 | 11.369 | 116.67 | |
| 0.9295 | 0.8471 | 0.9642 | ||
| Weber–Morris adsorption diffusion model | 0.12803 | 0.17985 | 0.14797 | |
| 0.9619 | 0.9474 | 0.8913 | ||
| Langmuir | 285.71 | 77.279 | 531.91 | |
| 4.0698 | 0.4259 | 2.5066 | ||
| 0.9668 | 0.9959 | 0.9829 | ||
| Freundlich | 201.79 | 24.059 | 294.48 | |
| 3.2544 | 2.1833 | 3.1991 | ||
| 0.9372 | 0.9359 | 0.7428 | ||
| Temkin | 43.366 | 155.33 | 33.604 | |
| 42.854 | 4.5016 | 70.302 | ||
| 0.9836 | 0.9946 | 0.8696 |
Figure 6(a) Adsorption isotherm experimental data. (b) Langmuir isotherm model, (c) Freundlich model, and (d) Temkin model isothermal fittings for PYR adsorption on PPA, NPP, and DPDMS-NPP.
Figure 7(a) Plots of ln Q/Ce vs Q at various temperatures and (b) the plot of R × ln(Q/Ce) vs 1/T.
Thermodynamic Parameters for PYR Adsorption onto DPDMS-NPP
| adsorbent | Δ | Δ | Δ | |
|---|---|---|---|---|
| DPDMS-NPP | 293 | –5.016 | –12.835 | 0.06098 |
| 303 | –5.697 | |||
| 310 | –6.051 |
Figure 8Reusability of DPDMS-NPP for PYR adsorption.