Dyestuffs and heavy metal ions in water are seriously harmful to the ecological environment and human health.Three-dimensional(3 D) flowerlike Fe(OH)_3 microspheres were synthesized through a green yet low-cost injection method,for the removal of organic dyes and heavy metal ions.The Fe(OH)_3 microspheres were characterized by thermal gravimetric analysis(TGA),Fourier transform infrared(FT-IR),and transmission electron microscopy(TEM) techniques.The adsorption kinetics of Congo Red(CR) on Fe(OH)_3 microspheres obeyed the pseudo-second-order model.Cr~(6+) and Pb~(2+) adsorption behaviors on Fe(OH)_3 microspheres followed the Langmuir isotherm model.The maximum adsorption capacities of the synthesized Fe(OH)_3 were 308,52.94,and 75.64 mg/g for CR,Cr~(6+),and Pb~(2+) respectively.The enhanced adsorption performance originated from its surface properties and large specific surface area of 250 m~2/g.The microspheres also have excellent adsorption stability and recyclability.Another merit of the Fe(OH)_3 material is that it also acts as a Fenton-like catalyst.These twin functionalities(both as adsorbent and Fenton-like catalyst) give the synthesized Fe(OH)_3 microspheres great potential in the field of water treatment. 相似文献
Chemical waste compositions are important for municipal solid waste management, as they determine the pollution potentials from different waste strategies. A representative dataset for chemical characteristics of individual waste fractions is frequently required to assess chemical waste composition, but it is usually reported in developed countries and not in developing countries. In this study, a dataset for Chinese waste was established through careful data screening and assessment, named as CN dataset. Meanwhile, a dataset for Danish waste (DK dataset) was also summarized based on previous studies. In order to quantitatively evaluate the reliabilities of CN and DK datasets, the chemical waste compositions in four Chinese cities were estimated by utilizing both of them, respectively. It is indicated that the usage of CN datasets led to significantly lower discrepancies from the actual values based on laboratory analysis in most cases. Within the datasets, the moisture contents of food waste, paper, textiles, and plastics, the carbon content of food waste, as well as the oxygen content of plastics would induce significant divergences, which should be paid special attention when gathering the information. In addition, the fractional waste compositions in China showed similar features with other developing countries but differ significantly with developed countries. Thus the above-mentioned conclusions could also be true in other developing countries. 相似文献