DOI: 10.57760/sciencedb.j00265.00029
title: A Novel Granulated Magnesium Potassium Ferrocyanide Adsorbent for the Selective Separation of Cs+ from Brine
title: 造粒的新型亚铁氰化钾镁基吸附剂用于卤水中Cs+的分离

description: This dataset is generated around the research on the separation of Cs⁺ from brine using a novel granulated magnesium potassium ferrocyanide-based adsorbent. The generation process first involves the one-step synthesis of K₂MgFe(CN)₆ using K₄[Fe(CN)₆]·3H₂O and MgCl₂·6H₂O as raw materials. Subsequently, polyacrylonitrile (PAN) and polyvinyl chloride (PVC) are added as granulating agents, and ethylenediamine as a cross-linking agent. The granulated adsorbent is prepared through dissolution, mixing, dropping, cross-linking, and other steps. Then, adsorption experiments are designed to investigate the effects of pH (4-10), temperature (25-55℃), initial concentration (50-1000 mg/L), time (10-120 min), and interfering ions (Li⁺, Na⁺, K⁺, Mg²⁺, Ca²⁺) on Cs⁺ adsorption. Meanwhile, practical adsorption performance tests and cyclic stability experiments (6 adsorption-desorption cycles) are conducted in the brine of Nanyi Mountain Oilfield. The adsorption capacity and other related data are determined by detecting the ion content in the solution before and after adsorption. The data processing methods include fitting and analyzing the experimental data using Langmuir and Freundlich isothermal adsorption models, pseudo-first-order, pseudo-second-order, and Elovich kinetic models, and calculating adsorption thermodynamic parameters (ΔG, ΔH, ΔS) to clarify the characteristics of the adsorption process. The equipment used includes a Fourier transform infrared spectrometer (FT-IR, VERTEX 70, Bruker), a scanning electron microscope (SEM, JEOL 5600LV), an X-ray diffractometer (XRD, PANalytical X’Pert Pro), a transmission electron microscope (TEM, Hitachi SU-8010), and a LongerPump peristaltic pump. Data processing is mainly completed using experimental data fitting software and conventional data analysis tools.The spatial information involved in the dataset is the brine system of Nanyi Mountain Oilfield in Golmud City, Qinghai Province. There is no specific time series information, and the time resolution only reflects the time gradient (10-120 min) and adsorption equilibrium time (240 min) in the adsorption experiments. Spatially, it focuses on the specific oilfield brine and laboratory-simulated brine environment, with no additional spatial resolution design. The table data includes Tables 1 to 7, totaling 7 data tables: Table 1 records the ion composition of the brine from Nanyi Mountain Oilfield, with 1 row of records (corresponding to the water from Nanyi Mountain Oilfield), and the column labels are ion types (Na⁺, K⁺, Ca²⁺, Mg²⁺, Li⁺, Rb⁺, Cs⁺) with the unit of mg/L; Table 2 provides explanations of adsorption-related model formulas and parameters, with no specific data records, and the column labels are model name, formula, parameter, and parameter meaning; Table 3 compares the performance of the adsorbent in this study with those reported in the literature, with 10 rows of records (corresponding to 10 types of adsorbents), and the column labels are serial number, adsorbent name, adsorption capacity (Q), equilibrium time (T), and reference literature, with the units of mg/g and min respectively; Table 4 shows the fitting results of isothermal adsorption data, with 3 rows of records (corresponding to 3 temperatures), and the column labels are adsorbent, temperature (T), and relevant parameters of Langmuir and Freundlich models (Qmax, KL, R², KF, n), with the units including mg/g and L/mg; Table 5 presents adsorption thermodynamic parameters, with 3 rows of records (corresponding to 3 temperatures), and the column labels are adsorbent, temperature (T), Gibbs free energy change (ΔG), enthalpy change (ΔH), and entropy change (ΔS), with the units of K, kJ/mol, kJ/mol, and J/(mol·K) respectively; Table 6 lists adsorption kinetic parameters, with 1 row of records (corresponding to the target adsorbent), and the column labels are adsorbent and relevant parameters of pseudo-first-order and pseudo-second-order models (Qe,cal, k1, R², k2), with the units including mg/g, min⁻¹, and g/(mg·min); Table 7 shows the kinetic parameters of cesium adsorption in the brine of Nanyi Mountain Oilfield, with 1 row of records (corresponding to the target adsorbent), and the column labels are adsorbent and relevant parameters of pseudo-first-order, pseudo-second-order, and Elovich models (Qe,cal, k1, R², k2, α, β), with the units including mg/g, min⁻¹, g/(mg·min), mg g⁻¹, and g mg⁻¹.There is no obvious data missing in the dataset, and all key parameters of the experimental design and fitting results are fully presented. The adsorption capacity data has an error range of ±1 mg/g, which is mainly caused by slight fluctuations in reagent dosage during the experiment, precision limitations of detection instruments, and minor changes in environmental conditions. The R² values of model fitting are all above 0.93, indicating small fitting errors and high data reliability. The graph files included in the dataset: Figure 1 is a synthesis route diagram of the adsorbent, intuitively showing the preparation process; Figure 2 is the XRD pattern of the adsorbent before and after Cs⁺ adsorption and the FT-IR spectrum after adsorption, used for structural characterization; Figure 3 shows the SEM, TEM images, and Mapping analysis of the adsorbent before and after Cs⁺ adsorption, reflecting the morphology and element distribution; Figure 4 is the experimental curves of the effects of pH, temperature, time, and interfering ions on adsorption performance; Figure 5 is the cyclic performance of the adsorbent and the adsorption kinetic curve in the brine of Nanyi Mountain Oilfield. All graphs are visual presentations of experimental data to assist in explaining the structure and performance of the adsorbent. The relevant files of this dataset are presented in document format, compatible with conventional office software and academic reading software, without niche formats, and can be opened and viewed directly.
description: This dataset is generated around the research on the separation of Cs⁺ from brine using a novel granulated magnesium potassium ferrocyanide-based adsorbent. The generation process first involves the one-step synthesis of K₂MgFe(CN)₆ using K₄[Fe(CN)₆]·3H₂O and MgCl₂·6H₂O as raw materials. Subsequently, polyacrylonitrile (PAN) and polyvinyl chloride (PVC) are added as granulating agents, and ethylenediamine as a cross-linking agent. The granulated adsorbent is prepared through dissolution, mixing, dropping, cross-linking, and other steps. Then, adsorption experiments are designed to investigate the effects of pH (4-10), temperature (25-55℃), initial concentration (50-1000 mg/L), time (10-120 min), and interfering ions (Li⁺, Na⁺, K⁺, Mg²⁺, Ca²⁺) on Cs⁺ adsorption. Meanwhile, practical adsorption performance tests and cyclic stability experiments (6 adsorption-desorption cycles) are conducted in the brine of Nanyi Mountain Oilfield. The adsorption capacity and other related data are determined by detecting the ion content in the solution before and after adsorption. The data processing methods include fitting and analyzing the experimental data using Langmuir and Freundlich isothermal adsorption models, pseudo-first-order, pseudo-second-order, and Elovich kinetic models, and calculating adsorption thermodynamic parameters (ΔG, ΔH, ΔS) to clarify the characteristics of the adsorption process. The equipment used includes a Fourier transform infrared spectrometer (FT-IR, VERTEX 70, Bruker), a scanning electron microscope (SEM, JEOL 5600LV), an X-ray diffractometer (XRD, PANalytical X’Pert Pro), a transmission electron microscope (TEM, Hitachi SU-8010), and a LongerPump peristaltic pump. Data processing is mainly completed using experimental data fitting software and conventional data analysis tools.The spatial information involved in the dataset is the brine system of Nanyi Mountain Oilfield in Golmud City, Qinghai Province. There is no specific time series information, and the time resolution only reflects the time gradient (10-120 min) and adsorption equilibrium time (240 min) in the adsorption experiments. Spatially, it focuses on the specific oilfield brine and laboratory-simulated brine environment, with no additional spatial resolution design. The table data includes Tables 1 to 7, totaling 7 data tables: Table 1 records the ion composition of the brine from Nanyi Mountain Oilfield, with 1 row of records (corresponding to the water from Nanyi Mountain Oilfield), and the column labels are ion types (Na⁺, K⁺, Ca²⁺, Mg²⁺, Li⁺, Rb⁺, Cs⁺) with the unit of mg/L; Table 2 provides explanations of adsorption-related model formulas and parameters, with no specific data records, and the column labels are model name, formula, parameter, and parameter meaning; Table 3 compares the performance of the adsorbent in this study with those reported in the literature, with 10 rows of records (corresponding to 10 types of adsorbents), and the column labels are serial number, adsorbent name, adsorption capacity (Q), equilibrium time (T), and reference literature, with the units of mg/g and min respectively; Table 4 shows the fitting results of isothermal adsorption data, with 3 rows of records (corresponding to 3 temperatures), and the column labels are adsorbent, temperature (T), and relevant parameters of Langmuir and Freundlich models (Qmax, KL, R², KF, n), with the units including mg/g and L/mg; Table 5 presents adsorption thermodynamic parameters, with 3 rows of records (corresponding to 3 temperatures), and the column labels are adsorbent, temperature (T), Gibbs free energy change (ΔG), enthalpy change (ΔH), and entropy change (ΔS), with the units of K, kJ/mol, kJ/mol, and J/(mol·K) respectively; Table 6 lists adsorption kinetic parameters, with 1 row of records (corresponding to the target adsorbent), and the column labels are adsorbent and relevant parameters of pseudo-first-order and pseudo-second-order models (Qe,cal, k1, R², k2), with the units including mg/g, min⁻¹, and g/(mg·min); Table 7 shows the kinetic parameters of cesium adsorption in the brine of Nanyi Mountain Oilfield, with 1 row of records (corresponding to the target adsorbent), and the column labels are adsorbent and relevant parameters of pseudo-first-order, pseudo-second-order, and Elovich models (Qe,cal, k1, R², k2, α, β), with the units including mg/g, min⁻¹, g/(mg·min), mg g⁻¹, and g mg⁻¹.There is no obvious data missing in the dataset, and all key parameters of the experimental design and fitting results are fully presented. The adsorption capacity data has an error range of ±1 mg/g, which is mainly caused by slight fluctuations in reagent dosage during the experiment, precision limitations of detection instruments, and minor changes in environmental conditions. The R² values of model fitting are all above 0.93, indicating small fitting errors and high data reliability. The graph files included in the dataset: Figure 1 is a synthesis route diagram of the adsorbent, intuitively showing the preparation process; Figure 2 is the XRD pattern of the adsorbent before and after Cs⁺ adsorption and the FT-IR spectrum after adsorption, used for structural characterization; Figure 3 shows the SEM, TEM images, and Mapping analysis of the adsorbent before and after Cs⁺ adsorption, reflecting the morphology and element distribution; Figure 4 is the experimental curves of the effects of pH, temperature, time, and interfering ions on adsorption performance; Figure 5 is the cyclic performance of the adsorbent and the adsorption kinetic curve in the brine of Nanyi Mountain Oilfield. All graphs are visual presentations of experimental data to assist in explaining the structure and performance of the adsorbent. The relevant files of this dataset are presented in document format, compatible with conventional office software and academic reading software, without niche formats, and can be opened and viewed directly.