In this experimental research the adsorption of the isotherm of tramadolas, a kind of narcotic drugs is studied on the multi-wall carbon nanotube with the spectrophotometer. The amount of adsorption in various concentrations was calculated and its related diagram was drawn. The result, which was obtained by Langmuir, Freundlich and Temkin in 296 ± 2 K, compared coefficient parameters show that the Temkin has the most accordance.
Nowadays, it is admitted to using of suitable carrier results in improving drug delivery such as nanotubes. So, multi-walled carbon nanotube (MWCNTs) has been proposed as a carrier (adsorbent) to improve the neurological Oxazepam (OZ) drug delivery. Freundlich, Temkin, and Langmuir isotherm models have been used in order to do assay adsorption of the OZ on the MWCNT. The maximum value of the isotherm constant (b = 0.14 L/mg) at 303 K temperature indicates stronger (better) adsorption of the OZ on the MWCNT surface in low concentrations (20 mg/L) and acidic pH; in fact, increasing of pH led to decreasing adsorption (60 ! 35.91 mg/g) and dehydrogenation of the OZ drug. Reaching to the equilibrium state after 90 min and negative value of the ΔH (−41.57 kJ/mol) shows that the OZ adsorption has fast kinetic and exothermic processes. These issues imply depending of the OZ adsorption on the OZ concentration and the weight of adsorbent in the adsorption process.
The objective of this work was to study the adsorption behaviour of non-steroidal antiinflammatory drugs (NSAIDs) e.g., aspirin, diclofenac and naproxen by single walled carbon nanotube as the function of initial concentration of adsorbate through adsorption isotherms. The amount of NSAIDs adsorbed from aqueous solution increases with the increase of the initial NSAIDs concentration. The adsorbent capacity was determined using the parameters of Langmuir, Freundlich and Temkin adsorption isotherm models that the NSAIDs adsorption isotherm data fit best to the Freundlich isotherm model. The results showed that aspirin has maximum adsorption rate of single wall carbon nanotube.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.