A new rate equation for desorption at the solid/solution interface

Synergistic effects of binary surfactant mixtures in the adsorption of diclofenac sodium drug from aqueous solution by modified zeolite

In this paper, the surfactant-modified clinoptilolite zeolite (with two methods) were used to remove diclofenac sodium (DFS) as a widely used drug in an aqueous solution. Clinoptilolite was modified by using pure cationic surfactant (cetyltrimethylammonium chloride, CTAC) and the mixed surfactants of CTAC + Triton-X100 (TX100). In the new approach, the synergistic effects between CTAC and TX100 were determined by surface tension measurements in different mole fractions and the optimum ratio (y₁ ≈ 0.8) was identified with the maximum synergism. According to the mole fraction of this composition, the surface of clinoptilolite was modified by mixed surfactants (MSMZ) for the adsorption of DFS and then results compared with modified zeolite with pure cationic surfactant (SMZ). The raw and modified (SMZ and MSMZ) zeolites were characterized by Fourier transform infrared spectroscopy (FT-IR), BET analysis, the scanning electron microscopy (SEM) images, Zeta potential and X-ray. The experimental data of adsorption in equilibrium conditions were also analyzed using different adsorption isotherm models (Langmuir, Freundlich, Hill, Khan, Sips, Redlich-Peterson and Toth) in non-linear forms, and finally, the best model consistent with experimental data is determined (SMZ:Sips and MSMZ:Toth). According to the best isotherm model, the amount of absorption capacity in MSMZ was obtained almost 57% higher than SMZ. In addition, the kinetic adsorption data were correlated with eight various models in order to selection the best model for these systems. The kinetic adsorption data were well described by fractal-like pseudo-first-order (FL-PFO) and IKL models for SMZ and MSMZ adsorbents, respectively. Eight error functions were used to estimate the best fitted isotherm and kinetic models.

Isotope Engineered Fluorinated Single and Bilayer Graphene: Insights into Fluorination Selectivity, Stability, and Defect Passivation

Tailoring the physicochemical properties of graphene through functionalization remains a major interest for next-generation technological applications. However, defect formation due to functionalization greatly endangers the intrinsic properties of graphene, which remains a serious concern. Despite numerous attempts to address this issue, a comprehensive analysis has not been conducted. This work reports a two-step fluorination process to stabilize the fluorinated graphene and obtain control over the fluorination-induced defects in graphene layers. The structural, electronic and isotope-mass-sensitive spectroscopic characterization unveils several not-yet-resolved facts, such as fluorination sites and CF bond stability in partially-fluorinated graphene (F-SLG). The stability of fluorine has been correlated to fluorine co-shared between two graphene layers in fluorinated-bilayer-graphene (F-BLG). The desorption energy of co-shared fluorine is an order of magnitude higher than the CF bond energy in F-SLG due to the electrostatic interaction and the inhibition of defluorination in the F-BLG. Additionally, F-BLG exhibits enhanced light-matter interaction, which has been utilized to design a proof-of-concept field-effect phototransistor that produces high photocurrent response at a time <200 µs. Thus, the study paves a new avenue for the in-depth understanding and practical utilization of fluorinated graphenic carbon.

Complete Analytical Solution of the Statistical Rate Theory: Desorption from Solid/Solution Interfaces

One of the essential steps in the design and regeneration of catalysts is desorption. Kinetics modeling of the desorption process is essential for a better understanding of this process. The statistical rate theory (SRT) method is one of the essential theoretical methods that can be used to study the rate of desorption. For the first time, a complete solution of the SRT equation for desorption from the solid surface to the solution phase (SRT-D) is reported. The new integrated equations are provided as the linear forms, which have been denoted as the SRT-LFD equations. The first complete analytical solution of the SRT-D equation is confirmed using the created data by numerical solution of the SRT-D equation and the experimental data. The perfect agreement between the obtained results of the SRT-LFD equations and the results of the created and experimental data confirms the accuracy of the obtained equations.

Investigation of Fractal-like Characteristics According to New Kinetic Equation of Desorption

Most of the adsorbents have porous structures and a suitable kinetic model is essential for studying these systems. The kinetic Langmuir model is one of the first theoretical models, which can be used for desorption studies. In the present research, the fractal-like concept was added to the kinetic Langmuir model of desorption. A new integrated kinetic Langmuir equation was provided to investigate the rate of desorption from a solid surface. The preferred characteristic of the provided rate equation is the application of the fractal concept for the kinetic study of the desorption process from porous surfaces. The derivation of a new equation was confirmed using the generated data. The fractal-like concept for some experimental desorption studies was obtained. This parameter can show how the porous structure of an adsorbent can affect the desorption kinetics.