A simple method for selective recognition of 3-chlorophenol (3-CP) from aqueous solution has been developed using a surface molecularly imprinted polymer (MIP) as sorbent. Characterization of the obtained MIP was achieved by Fourier transform infrared spectroscopy (FTIR). Kinetic, thermodynamic, dynamic adsorption, and selectivity experiments were investigated in this study. Kinetic experimental data were well-described by the pseudosecond-order kinetic model. The obtained Arrhenius activation energy E
a from the kinetic data indicated a physisorption mechanism, and the negative values of ΔH
o demonstrated that the adsorption of 3-CP onto MIP was exothermic. Equilibrium experimental data of MIP fitted the Langmuir isotherm well. The MIP showed outstanding affinity toward 3-CP in aqueous solution, and the optimum pH value for binding has been found around the neutral range. When methanol was used as eluent, the adsorbed 3-CP eluted easily from MIP. The total dynamic capacity of the imprinted sorbent was calculated to be 1137.58 mg·g–1. The breakthrough of 3-CP started after 60 mL, and the breakthrough capacity was 756.8 mg·g–1. Meanwhile, selectivity experiments demonstrated that MIP showed high affinity to target molecules over competitive CPs (2,6-dichlorophenol and 2,4,6-trichlorophenol).
As a kind of scarce natural capital, energy makes more and more obvious constraint effects on economic growth. And energy consumption is the major source of greenhouse gas emissions. This brings about the problems of the relationships among energy consumption, carbon emissions, and economic growth, which is worthy of long-term attention. This paper attempted to explore the interactive relations among American oil prices, carbon emissions, and GDP through the data analysis from 1983 to 2013. This paper adopted time series vector error correction model (VECM) approach to conduct stationarity test, cointegration test, stability test, and Granger causality test. The results indicated that, no matter in the short term or long term, oil price fluctuation is the reason why carbon emissions change, while the GDP fluctuation is not the reason for the growth of carbon emissions. The oil price impacts will have a great influence on GDP and carbon emissions in the short term, but, the in long term, the influence will tend to be gentle.
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