2017
DOI: 10.1002/app.45839
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Facile preparation of a silica‐sphere–poly(catechol hexamethylenediamine) composite for the competitive removal of cadmium(II), lead(II), and copper(II) ions

Abstract: A silica‐sphere–poly(catechol hexamethylenediamine) (PCHA–SiO2) composite was prepared via the one‐step facile polymerization of catechol and hexamethylenediamine; this method uses a silica sphere as a hard template. The chemical structures and morphologies of this composite were characterized by Fourier transform infrared spectroscopy, thermogravimetric analysis, and transmission electron microscopy. The adsorption experiments indicated that the PCHA–SiO2 composite served as a very attractive adsorbent for Pb… Show more

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Cited by 4 publications
(1 citation statement)
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“…Russo D [5] combines the principles of ecological innovation with design methods based on structural optimization tools to create a knowledgeable CAE process that links CAD, FEM, optimization tools and LCA-based tools. Wei G [6] characterized the chemical structure and morphology of the composite by Fourier transform infrared spectroscopy, thermogravimetric analysis and transmission electron microscopy. Li L [7] proposed a closed-loop recognition algorithm (CLR), multi-closed-loop intelligent identification (MCLR) algorithm and multi-closed-loop matching (MCLM) algorithm based on feature recognition, which realized the automatic generation of regular surfaces in the flow channel.…”
Section: Introductionmentioning
confidence: 99%
“…Russo D [5] combines the principles of ecological innovation with design methods based on structural optimization tools to create a knowledgeable CAE process that links CAD, FEM, optimization tools and LCA-based tools. Wei G [6] characterized the chemical structure and morphology of the composite by Fourier transform infrared spectroscopy, thermogravimetric analysis and transmission electron microscopy. Li L [7] proposed a closed-loop recognition algorithm (CLR), multi-closed-loop intelligent identification (MCLR) algorithm and multi-closed-loop matching (MCLM) algorithm based on feature recognition, which realized the automatic generation of regular surfaces in the flow channel.…”
Section: Introductionmentioning
confidence: 99%