Open AccessBased on the Network and Information Technology, the Actual Performance Evaluation System of Heavy Metal Removal Biomass Materials in Water Was Developed
Author(s) -
Miao Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1574/1/012096
Subject(s) - adsorption , biomass (ecology) , charring , ionic strength , metal ions in aqueous solution , chemical engineering , process engineering , computer science , environmental science , materials science , pulp and paper industry , nanotechnology , chemistry , metal , aqueous solution , engineering , composite material , agronomy , organic chemistry , biology
With the rapid development of information technology such as big data, Internet of things, cloud computing and artificial intelligence, the combination of advanced technology has become an inevitable trend of biochemistry development at the present stage, and also brings new opportunities for the development of this field. In order to better combine information technology with biochemistry, this paper established an evaluation system for the actual performance of heavy metal biomass material in water removal, and systematically studied its adsorption mechanism. In this paper, 12 kinds of adsorbents of primary materials, carbon black materials and modified materials were prepared by crushing, charring and modifying four kinds of biomass, namely rice stalk, wheat harvest, corn and rice and peanut shell. The adsorption of Cu by these 12 adsorbents was studied. Combined with information technology, the use of scanning electron microscopy (sem) analysis, specific surface area and adsorbent for the characterization of infrared spectrum analysis and study, adsorption time, pH, adsorbent additive quantity, temperature, ionic strength, competition from Cd adsorption effect on the adsorption effect, build the evaluation system, in the end, to evaluate the material removal efficiency of the experiment efficiency, are all over 92%, which is beneficial to the combination of information technology and biological chemistry development.