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APPLIED SURFACE SCIENCE · 2015 · IF 2.711

Preparation and characterization of poly(glycidyl methacrylate)-grafted magnetic nanoparticles: Effects of the precursor concentration on polyol synthesis of Fe3O4 and [PMDETA]0/[CuBr2]0 ratios on SI-AGET ATRP

Liping Jiang,Xuyang Zhou,Guyun Wei,Xiaoduo Lu,Weiping Wei,Jianhua Qiu

Polymer brushes based on poly(glycidyl methacrylate) (PGMA) have been successfully grafted from the surface of silica coated iron oxide (Fe 3 O 4 @SiO 2 ) nanoparticles via surface-initiated activators generated by electron transfer atom transfer radical polymerization (SI-AGET ATRP). The size of the nanoparticles could be adjusted from 7.3 to 9.6   nm by varying the precursor concentration of iron(III) acetylacetonate. The Fe 3 O 4 nanoparticles possessed a highly crystalline structure, and the saturation magnetization of the as-prepared magnetite was strongly related to the particle size. Furthermore, the grafted PGMA content on the magnetic nanoparticles could be controlled by varying the ligand to transition metal ratio in a N , N , N ′, N ″, N ″-pentamethyldiethylenetriamine (PMDETA)/CuBr 2 catalyst system. The maximum grafted content was 23.1% at a ratio of [PMDETA] 0 /[CuBr 2 ] 0   =   2:1.

CAS / MDL: 3030-47-5 78-10-4
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JOURNAL OF MOLECULAR STRUCTURE · 2025 · IF 4.7

Waste-to-microporous framework: Al/Si fractionation of coal fly ash coupled with waste PET conversion for separated synthesis of high-porosity MIL-53(Al) and ZSM-5 toward efficient dyes and CO2 capture

Ying Wang,Tengfei He,Jingguo Cao,Ke Li,Chengqian Wang,Qun Liu,Yu Zhang

This study demonstrates a sustainable strategy for synthesizing MIL-53(Al) and ZSM-5 zeolite through dual-waste synergy using coal fly ash (CFA) and waste polyethylene terephthalate (PET). A sequential alkaline fusion-acid leaching protocol selectively fractionated CFA into aluminum-rich solutions and silica residues, while alkaline hydrolysis of PET liberated terephthalic acid (PTA) as organic ligands. The Al 3+ -PTA coordination under solvothermal conditions produced MIL-53(Al)(CFA-PET) exhibiting well-defined 1D rhombic channels with a high BET surface area (1303 m 2 ·g −1 ), whereas hydrothermal crystallization of silica residues yielded ZSM-5(CFA), which formed spherical aggregates composed of 100 nm nanosheets with 89.9 % yield and a surface area of 311 m 2 ·g −1 . Structural advantages were evidenced by exceptional adsorption performance: MIL-53(Al)(CFA-PET) achieved 96.24 % methylene blue removal at pH 7 (250 mg·L −1 ), outperforming rhodamine B (30.8 %) and methyl orange (66.4 %), as well as reagent-synthesized MIL-53(Al) Che (91.99 %). Both materials demonstrated exceptional CO 2 capture capacities (4.23 mmol·g −1 for MIL-53(Al)(CFA-PET) vs. 2.37 mmol·g −1 for ZSM-5(CFA) at 273 K/1 bar), attributable to MIL-53′s flexible framework enabling dynamic pore adjustment and ZSM-5′s rigid microporous channels favoring molecular sieving. This work establishes a closed-loop strategy for converting industrial and plastic wastes into functionally differentiated porous materials through element-targeted process design.

CAS / MDL: 67-68-5 56-87-1
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JOURNAL OF APPLIED POLYMER SCIENCE · 2014 ·Vol. 131 ·期 17 · IF 1.64

Determination of the Si?H content of hydrogen silicone oil by a combination of the fourier transform near infrared, attenuated total reflectance–fourier transform infrared, and partial least squares regression models

Qianqian Zhai,Shigui Zhao,Chuanjian Zhou,Wenjie Li,Cun Peng

To verify the feasibility of the determination of the Si  H content (HC) of hydrogen silicone oil (HS-oil) with Fourier transform near infrared (FT-NIR) spectroscopy and attenuated total reflectance (ATR)–Fourier transform infrared (FTIR) spectroscopy combined with the partial least squares regression (PLS-R) model, HS-oil samples were synthesized from concentrated hydrosilicone oil (HC = 1.4 wt %), octamethylcyclotetrasiloxane, and hexamethyldisiloxane or prepared by the dilution of concentrated hydrosilicone oil with octamethylcyclotetrasiloxane. The FT-NIR PLS-R model (8695–4000 cm −1 , two principal components) was developed from the FT-NIR spectral data, and the coefficient of determination for cross-validation ( R 2 ) and the coefficient of determination for external validation ( r 2 ) were 0.992 and 0.995, respectively. The ATR–FTIR PLS-R model (2302–2040 cm −1 , one principal component) was developed from the ATR–FTIR spectral data; it produced an R 2 of 0.995 and an r 2 of 0.996. This study demonstrated that the combination of FT-NIR and ATR–FTIR spectroscopy with the PLS-R model were successfully used to determine the HC of the HS-oil. © 2014 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2014 , 131 , 40694.

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