Partial least squares and artificial neural networks modeling for predicting chlorophenol removal from aqueous solution

Singh, Kunwar P.; Ojha, Priyanka; Malik, Amrita; Jain, Gourav

doi:10.1016/j.chemolab.2009.09.004

Cited by 58 publications

(22 citation statements)

References 42 publications

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“…Moreover, it does not reveal the influence of the interactions between the process variables on the dependent variable [23]. Recently, Singh et al [24] reported the linear (partial least squares) and non-linear (artificial neural networks) modeling approaches to predict the adsorption capacity of carbon for removal of phenol from aqueous solution. However, it required a large number of batch experiments to be performed.…”

Section: Introductionmentioning

confidence: 98%

Optimizing adsorption of crystal violet dye from water by magnetic nanocomposite using response surface modeling approach

Singh

Gupta

Singh

et al. 2011

Journal of Hazardous Materials

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379

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Section: Introductionmentioning

confidence: 98%

Optimizing adsorption of crystal violet dye from water by magnetic nanocomposite using response surface modeling approach

Singh

Gupta

Singh

et al. 2011

Journal of Hazardous Materials

Self Cite

379

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“…The conventional approach for optimization of process variables requires a very large number of experiments to be performed, which would be very expensive and time consuming. Recently, Singh et al (2009) reported the linear (partial least squares) and non-liner (artificial neural networks) modelling approaches to predict the adsorption capacity of carbon for removal of phenol from aqueous solution. However, it requires a large number of batch experiments.…”

Section: Introductionmentioning

confidence: 99%

Optimizing adsorption of fluoride from water by modified banana peel dust using response surface modelling approach

Bhaumik

Mondal

2014

Appl Water Sci

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The present work highlighted the effective application of banana peel dust (BPD) for removal of fluoride (F -) from aqueous solution. The effects of operating parameters such as pH, initial concentration, adsorbent dose, contact time, agitation speed and temperature were analysed using response surface methodology. The significance of independent variables and their interactions were tested by the analysis of variance and t test statistics. Experimental results revealed that BPD has higher Fadsorption capacity (17.43, 26.31 and 39.5 mg/g). Fluoride adsorption kinetics followed pseudo-second-order model with high correlation of coefficient value (0.998). On the other hand, thermodynamic data suggest that adsorption is favoured at lower temperature, exothermic in nature and enthalpy driven. The adsorbents were characterised through scanning electron microscope, Fourier transform infrared spectroscopy and point of zero charges (pH ZPC ) ranges from pH 6.2-8.2. Finally, error analysis clearly demonstrates that all three adsorbents are well fitted with Langmuir isotherm compared to the other isotherm models. The reusable properties of the material support further development for commercial application purpose.

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“…Поверхня хлібобулочних виробів після випікання практично стерильна, але хліб прогрівається всередині до температури 93…98 ºС, тому завжди зберігається деяка кількість бактеріальних спор і можливе збереження вегетативних клітин, які потрапляють з сировиною та з довкілля [20][21][22]. …”

Section: технологія і безпека продуктів харчуванняunclassified

Перспективи Використання Комплексного Хлібопекарського Поліпшувача «свіжість К+» У Технології Хлібобулочних Виробів

Білик¹,

Gregirchak²,

Маринін³

2015

Харчова Наука Та Технологія

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Partial least squares and artificial neural networks modeling for predicting chlorophenol removal from aqueous solution

Cited by 58 publications

References 42 publications

Optimizing adsorption of crystal violet dye from water by magnetic nanocomposite using response surface modeling approach

Optimizing adsorption of crystal violet dye from water by magnetic nanocomposite using response surface modeling approach

Optimizing adsorption of fluoride from water by modified banana peel dust using response surface modelling approach

Перспективи Використання Комплексного Хлібопекарського Поліпшувача «свіжість К+» У Технології Хлібобулочних Виробів

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