Estimation of activated carbon adsorption efficiency for organic vapours

Effect of surface acid groups associated with amorphous and structured carbon on the catalytic hydrodechlorination of chlorobenzenes

“…Bachiller‐Baeza et al ,27 on the other hand, examined the gas phase hydrogenation of crotonaldehyde over Pt supported on non‐oxidized and H 2 O 2 ‐oxidized graphite and found that oxygen groups can influence product selectivity when the catalyst was synthesized from a H 2 PtCl 6 precursor but there was no apparent catalytic response for preparations employing Pt(NH 3 ) 4 (OH) 2 as precursor. In terms of CB and DCB activation, there is evidence in the literature that haloarenes can adsorb both on the metal phase4, 42 and on the carbon support in liquid70–72 and gas phase54–57, 73 applications. The difference in catalytic performance must, therefore, be due to reactant interaction with the carbon surface, which appears to be influenced by the presence of acid groups.…”

Nanopore Diffusion Rates for Adsorption Determined by Pressure-Swing and Concentration-Swing Frequency Response and Comparison with Darken's Equation

“…Activated carbon is one of the most versatile adsorbents with high removal efficiency, low cost, and reusability. It is widely used in potable water and wastewater treatment and in filters for air purification and solvent recovery that range from large air pollution control devices to small respiratory filters …”

“…It is widely used in potable water and wastewater treatment and in filters for air purification and solvent recovery that range from large air pollution control devices to small respiratory filters. 1 Release of chlorinated volatile organic compounds (VOCs), which are often suspected carcinogens, is an environmental issue. VOCs can be removed from air by adsorption on activated carbon.…”

A systematic investigation of the overall rate coefficient in the Wheeler–Jonas equation for adsorption on dry activated carbons

“…From a set of 68 VOCs (Bp < 120°C) characterized with respect to 45 physico-chemical properties [9], the following eight compounds were selected as a training set for experimental evaluation and modelling: benzene (13), acetonitrile (22), heptane (27), isopropylamine (33), propionaldehyde(10), 2-propanol (17), 2,2,4-trimethylpentane (26), and 1,1,1-trichloroethane (60). Four additional compounds were used as validation set: 2-chloro-2-methylpropane (48), 1-chloropentane (50), dichloromethane (53) and 2-butanone (68).…”

“…Eight of these 12 VOCs were used as a training set in the modelling of k v . The four compounds left out were used as a validation set to test the predictive power of the model [27]. The experimental design and the results are shown in Table 2.…”