Evaluation of Copper Biosorption onto Date Palm (<i>Phoenix dactylifera</i>L.) Seeds with MLR and ANFIS Models

Bingöl, Deniz; İnal, Melih; Çetintaş, Seda

doi:10.1021/ie400484c

Cited by 31 publications

(19 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Notwithstanding the absence of a perceptible physical association among the variables, the variables can be interrelated via a mathematical correlation. Even though this function is physically senseless, it can be significant for forecasting a variable value as far as the data related to other variables (Asadzadeh et al 2019;Bingöl et al 2013). The first and second orders of MLR modeling methods (linear and quadratic methods) were carried out.…”

Section: Multilinear Regression (Mlr)mentioning

confidence: 99%

See 1 more Smart Citation

Urease production using corn steep liquor as a low-cost nutrient source by Sporosarcina pasteurii: biocementation and process optimization via artificial intelligence approaches

Maleki-Kakelar

Azarhoosh

Senji

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

To commercialize the biocementation through microbial induced carbonate precipitation (MICP), the current study aimed at replacing the costly standard nutrient medium with corn steep liquor (CSL), an inexpensive bio-industrial by-product, on the production of urease enzyme by Sporosarcina pasteurii (PTC 1845). Multiple linear regression (MLR) in linear and quadratic forms, adaptive neuro-fuzzy inference system (ANFIS), and genetic programming (GP) were used for modeling of process based on the experimental data for improving the urease activity (UA). In these models, CSL concentration, urea concentration, nickel supplementation, and incubation time as independent variables and UA as target function were considered. The results of modeling showed that the GP model had the best performance to predict the extent of urease, compared to other ones. The GP model had higher R 2 as well as lower RSME in comparison with the models derived from ANFIS and MLR. Under the optimum conditions optimized by GP method, the maximum UA value of 3.6 Mm min -1 was also obtained for 5%v/v CSL concentration, 4.5 g L -1 urea concentration, 0 μM nickel supplementation, and 60 h incubation time. A good agreement between the outputs of GP model for the optimal UA and experimental result was obtained. Finally, a series of laboratory experiments were undertaken to evaluate the influence of biological cementation on the strengthening behavior of treated soil. The maximum shear stress improvement between bio-treated and untreated samples was 292% under normal stress of 55.5 kN as a result of an increase in interparticle cohesion parameters.

show abstract

Section: Multilinear Regression (Mlr)mentioning

confidence: 99%

“…The ANFIS models have 4 inputs (CSL, urea concentration, time, and N i supplementation), and each input has 2 "guassmf" functions. So, the ANFIS models had 16 rules totally (2rules 4inputs = 16) (Bingöl et al 2013). The training method was selected by trial and error.…”

Section: Adaptive Neuro-fuzzy Inference System (Anfis)mentioning

confidence: 99%

Urease production using corn steep liquor as a low-cost nutrient source by Sporosarcina pasteurii: biocementation and process optimization via artificial intelligence approaches

Maleki-Kakelar

Azarhoosh

Senji

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…Supporting Information for this article can be found under DOI: https://doi.org/10.1002/ceat.202000059. This section includes additional references to primary literature relevant for this research [32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51].…”

Section: Supporting Informationmentioning

confidence: 99%

Active Carbon from Microwave Date Stones for Toxic Dye Removal: Setting the Design Capacity

Hijab

Parthasarathy

et al. 2020

Chem Eng & Technol

View full text Add to dashboard Cite

The widely used toxic dye malachite green (MG) poses a significant risk to human health, having a mutagenic effect. Waste date stones were used to produce microwave‐activated carbons and were applied to adsorb the highly toxic dye. The critically important task of selecting the correct design adsorption capacity for different effluent pollutant concentrations to meet effluent discharge limit standards is described and a novel design selection criteria approach is presented.

show abstract

“…neural network [33][34][35] which is a powerful tool for prediction, but it is not usually able to produce practical prediction equations [36]. Adaptive neuro-fuzzy inference system [37][38][39][40] and least square support vector machine [41,42] are some other methods of modeling that were used in this field. However, no reported work was found to use genetic programming (GP) approach for modeling of dye removal in the field of adsorption process.…”

Section: Desalination and Water Treatmentmentioning

confidence: 99%

Functionalized copper oxide–zinc oxide nanocomposite: synthesis and genetic programming model of dye adsorption

Mahmoodi

Chamani

Kariminia

2016

Desalination and Water Treatment

View full text Add to dashboard Cite

A B S T R A C TThe functionalized copper oxide-zinc oxide nanocomposite (FCZN) was synthesized and characterized using Fourier transform infrared, scanning electron microscopy, X-ray diffraction, X-ray fluorescence, and BET. Dye removal from aqueous solution was done in a batch system using FCZN as an adsorbent. The effects of adsorbent dosage, initial dye concentration, pH, temperature, and additive salts on dye removal were investigated. Isotherms, kinetics, and thermodynamics of dye adsorption were studied. Equilibrium and kinetic data were fitted by Langmuir isotherm and pseudo-second-order kinetic, respectively. The thermodynamic data showed that dye adsorption was spontaneous, endothermic, and physical reaction. In addition, genetic programming (GP) was applied in order to predict dye removal using an explicit formula. The results of proposed GP models were in close agreement with the experimental data.

show abstract

Evaluation of Copper Biosorption onto Date Palm (Phoenix dactyliferaL.) Seeds with MLR and ANFIS Models

Cited by 31 publications

References 31 publications

Urease production using corn steep liquor as a low-cost nutrient source by Sporosarcina pasteurii: biocementation and process optimization via artificial intelligence approaches

Urease production using corn steep liquor as a low-cost nutrient source by Sporosarcina pasteurii: biocementation and process optimization via artificial intelligence approaches

Active Carbon from Microwave Date Stones for Toxic Dye Removal: Setting the Design Capacity

Functionalized copper oxide–zinc oxide nanocomposite: synthesis and genetic programming model of dye adsorption

Contact Info

Product

Resources

About