Comparison of LSSVM and RSM in simulating the removal of ciprofloxacin from aqueous solutions using magnetization of functionalized multi-walled carbon nanotubes: Process optimization using GA and RSM techniques

Yousefi, Mahmood; Gholami, Mitra; Oskoei, Vahide; Mohammadi, Ali Akbar; Baziar, Mansour; Esrafili, Ali

doi:10.1016/j.jece.2021.105677

Cited by 105 publications

(27 citation statements)

References 68 publications

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“…decreased the CIP removal efficiency from 100 to 75.52% at pH (7.5), adsorbent dose (0.5 g L -1 ), and contact time (46.25 min). In line with this result, Yousefi et al reported that increasing the CIP concentration from 30 to 100 mg L -1 decreased CIP removal efficiency from 83% to 59% (Yousefi et al, 2021). On the other hand, Wang et al investigated the effect of the initial CIP concentration (10-200 mg L -1 ) at pH (6) and adsorbent dosage (135 mg L -1 ) on the adsorption capacity.…”

Section: Effect Of Cip Initial Concentrationmentioning

confidence: 87%

“…The result of the ANOVA analysis is presented in Table 3. As shown in respectively (Yousefi et al, 2021;Asghar et al, 2019a). In their studies, adsorption parameters including initial CIP concentration, pH, contact duration, and adsorbent dose, were significant in CIP removal from an aqueous solution.…”

Section: Model Fitting and Analysis Of Variance (Anova) Using Ccdmentioning

confidence: 87%

“…CIP has become one of the top priority water contaminants that needs research intervention. It has been released into the environment and detected in groundwater, surface water, and wastewater treatment plant effluents (Yousefi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Enhanced ciprofloxacin removal from aqueous solution using a chemically modified biochar derived from bamboo sawdust: Adsorption process optimization with response surface methodology

Wakejo,

Meshasha,

Kang

et al. 2022

Preprint

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Contamination of water by ciprofloxacin has become a significant concern due to its adverse health effects and growing evidence of antimicrobial-resistant genes evolution. To this end, a chemically modified bamboo biochar was prepared from bamboo sawdust to effectively remove ciprofloxacin (CIP) from an aqueous solution. Under similar adsorption conditions, the modified bamboo biochar (MBC) has an excellent CIP removal efficiency (96%) compared to unmodified bamboo biochar (UBC) efficiency (45%). Thus, MBC was used in batch adsorption experiments and the process was optimized with the central composite design (CCD) framework of response surface methodology (RSM). Sorption process parameters such as initial CIP concentration, pH, adsorbent dose, and contact time were studied and found to have a significant effect on CIP removal. The optimal CIP removal (96%) was obtained at MBC dose (0.5 g L-1), CIP initial concentration (20 mg L-1), pH (7.5), and contact time (46 min). The adsorption kinetic data were well described by the pseudo-second-order model (R2 = 0.999), and both Langmuir (R2 = 0.994) and Freundlich (R2 = 0.972) models gave the best fit in CIP adsorption isotherm analysis. The maximum monolayer adsorption capacity of the MBC was 78.43 mg g-1 based on the Langmuir isotherm model. These results suggest that CIP adsorption was mainly controlled by chemisorption. Moreover, the CIP adsorption process was endothermic and spontaneous. Overall, MBC is a low-cost, efficient, and recyclable adsorbent for eliminating emerging contaminants such as ciprofloxacin from an aqueous solution.

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Section: Effect Of Cip Initial Concentrationmentioning

confidence: 87%

Section: Model Fitting and Analysis Of Variance (Anova) Using Ccdmentioning

confidence: 87%

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Enhanced ciprofloxacin removal from aqueous solution using a chemically modified biochar derived from bamboo sawdust: Adsorption process optimization with response surface methodology

Wakejo,

Meshasha,

Kang

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Langmuir and Freundlich adsorption isotherms, the most frequently used models to demonstrate liquid phase adsorption equilibrium data, were employed to examine the adsorption behaviors of FGD-HAP. Langmuir equation is expressed as follow (Dehghan et al 2019;Yousefi et al 2021):…”

Section: Sorption Isothermsmentioning

confidence: 99%

Zinc and cadmium adsorption from wastewater using hydroxyapatite synthesized from flue gas desulfurization waste

Demir

Tuğrul

2021

Water Science and Technology

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The purpose of this work is to produce an alternative cost-effective adsorbent to remove zinc and cadmium from wastewater using hydroxyapatite (HAP) synthesized with hydrothermal method from FGD (Flue gas desulfurization) waste generated by two different coal power plants. The effects of FGD type (Cayırhan and Orhaneli) and molar ratio (H3PO4/CaSO4) (0.6–4.79) on HAP synthesis were investigated. Afterwards effects of the adsorbent dose (1–2 g/L), heavy metal concentration (30, 40, 50 mg/L) and contact time (1, 2, 3, 4 h) on zinc and cadmium adsorption yield from synthetic wastewater using produced HAP were examined. FGD waste and synthesized FGD-HAP were characterized by X-Ray Diffraction (XRD), Fourier Transformed Infrared Spectroscopy (FT-IR), Scanning Electron Microscope (SEM) and Brunauer-Emmett-Teller (BET) instruments. The zinc and cadmium concentration was studied by Inductively coupled plasma atomic emission spectroscopy (ICP-AES). Maximum zinc adsorption capacity of the Cayırhan FGD-HAP was 49.97 and 49.99 mg/L, Orhaneli FGD-HAP was 49.96 and 49.99 mg/L, for 1 g/L and 2 g/L adsorbent dose respectively, for 50 mg/L heavy metal concentration and 4 h contact time. Maximum cadmium adsorption capacity of the Cayırhan FGD-HAP was 39.98 and 39.99 mg/L, Orhaneli FGD-HAP was 40 and 39.99 mg/L, for 1 g/L and 2 g/L adsorbent dose respectively, for 40 mg/L heavy metal concentration and 4 h contact time. Adsorption yields were calculated between 98.53 and 100%. The adsorption data were well explained by second order kinetic model and the Freundlich isotherm model fits the equilibrium data. The adsorption results demonstrated that FGD's waste is an effective source to synthesis HAP which is used as an adsorbent for zinc and cadmium removal from wastewater due to high adsorption capacity.

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“…However, SVM is complicated to solve the non-equation constraint problem, and in order to reduce the solution difficulty, Suykens [ 24 ] improved SVM and proposed the least square support vector machine (LSSVM), which replaced the non-equation constraint in SVM with an equation constraint, greatly reducing the solution difficulty. The LSSVM algorithm has been widely applied in the field of industrial intelligence in recent years [ 25 , 26 , 27 , 28 ]. He et al [ 29 ] used wavelet packet transform to extract fault features and combined them with LSSVM to complete the fault identification of circuit output voltage signals.…”

Section: Introductionmentioning

confidence: 99%

Rolling Bearing Fault Diagnosis Based on WOA-VMD-MPE and MPSO-LSSVM

Jin

Chen

Yang

2022

Entropy

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In order to further improve the accuracy of fault identification of rolling bearings, a fault diagnosis method based on the modified particle swarm optimization (MPSO) algorithm optimized least square support vector machine (LSSVM), combining parameter optimization variational mode decomposition (VMD) and multi-scale permutation entropy (MPE), was proposed. Firstly, to solve the problem of insufficient decomposition and mode mixing caused by the improper selection of mode component K and penalty factor α in VMD algorithm, the whale optimization algorithm (WOA) was used to optimize the penalty factor and mode component number in the VMD algorithm, and the optimal parameter combination (K, α) was obtained. Secondly, the optimal parameter combination (K, α) was used for the VMD of the rolling bearing vibration signal to obtain several intrinsic mode functions (IMFs). According to the Pearson correlation coefficient (PCC) criterion, the optimal IMF component was selected, and its optimal multi-scale permutation entropy was calculated to form the feature set. Finally, K-fold cross-validation was used to train the MPSO-LSSVM model, and the test set was input into the trained model for identification. The experimental results show that compared with PSO-SVM, LSSVM, and PSO-LSSVM, the MPSO-LSSVM fault diagnosis model has higher recognition accuracy. At the same time, compared with VMD-SE, VMD-MPE, and PSO-VMD-MPE, WOA-VMD-MPE can extract more accurate features.

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Comparison of LSSVM and RSM in simulating the removal of ciprofloxacin from aqueous solutions using magnetization of functionalized multi-walled carbon nanotubes: Process optimization using GA and RSM techniques

Cited by 105 publications

References 68 publications

Enhanced ciprofloxacin removal from aqueous solution using a chemically modified biochar derived from bamboo sawdust: Adsorption process optimization with response surface methodology

Enhanced ciprofloxacin removal from aqueous solution using a chemically modified biochar derived from bamboo sawdust: Adsorption process optimization with response surface methodology

Zinc and cadmium adsorption from wastewater using hydroxyapatite synthesized from flue gas desulfurization waste

Rolling Bearing Fault Diagnosis Based on WOA-VMD-MPE and MPSO-LSSVM

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