A kinetic spectrophotometric method for simultaneous determination of phenol and its three derivatives with the aid of artificial neural network

Ni, Yongnian; Xia, Zhenzhen; Kokot, Serge

doi:10.1016/j.jhazmat.2011.05.081

Cited by 52 publications

(21 citation statements)

References 29 publications

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“…Thin-plate spline and Gaussian function are two common types of functions that are used as activation functions in time series modeling and pattern classification, respectively [14][15][16]. The Gaussian function is indicated as follows [17]:…”

Section: Artificial Neural Network (Ann)mentioning

confidence: 99%

Investigating and modeling the cleaning-in-place process for retrieving the membrane permeate flux: Case study of hydrophilic polyethersulfone (PES)

Moghaddam

Shayegan

Sargolzaei

2016

Journal of the Taiwan Institute of Chemical Engineers

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Section: Artificial Neural Network (Ann)mentioning

confidence: 99%

Investigating and modeling the cleaning-in-place process for retrieving the membrane permeate flux: Case study of hydrophilic polyethersulfone (PES)

Moghaddam

Shayegan

Sargolzaei

2016

Journal of the Taiwan Institute of Chemical Engineers

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“…Thin-plate spline and Gussian function are two common types used as activation functions in time series modeling and pattern classification, respectively [23][24][25]. The Gaussian function is indicated by the following equation [26]:…”

Section: Radial Basis Function Neural Network (Rbfnn) Is a Nonlinear mentioning

confidence: 99%

Modeling the Removal of Phenol Dyes Using a Photocatalytic Reactor with SnO₂/Fe₃O₄Nanoparticles by Intelligent System

Sargolzaei

Moghaddam

Nouri

et al. 2014

Journal of Dispersion Science and Technology

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The objective of this study was to model the extent of improvement in the degradability of phenol dyes by SnO 2 /Fe 3 O 4 nanoparticles by using photo catalytic reactor.The effect of operative parameters including catalyst concentration, initial dye concentration, stirring intensity, and UV radiation intensity on the photocatalytic batch reactor during removal of phenol red was investigated.Fractional factorial design (FFD) and response surface methodology (RSM) were used to design the experiment layout.The SnO 2 /Fe 3 O 4 nanoparticles were synthesized by core-shell method. The results of XRD and TEM showed the successful synthesis of these nanoparticles. The ability of back propagation neural network (BPNN), radial basis function neural network (RBFNN), and adaptivenetwork-based fuzzy inference system (ANFIS) in predicting the performance of photo catalytic reactor was also investigated. It is found that BPNN has better ability in predicting the dye removal (%) than RBFNN, ANFIS, and regression model. The best architecture of BPNN was a network consisted of 3 hidden layers with 20-30-20 neurons.The BPNN predicted the output values with a high determination coefficient (R 2 ) value Downloaded by [University of West Florida] at 22:23 06 October 2014 ACCEPTED MANUSCRIPT ACCEPTED MANUSCRIPT 2 of 0.0.9718, while the predicting R 2 of regression model was 0.8978. And the predicting R 2 of RBFNN and ANFIS were 0.8011 and 0.9023, respectively.

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“…The increasing interest in developing fast, inexpensive, and environmentally friendly methods has led to alternative analytical methods based on chemometrics . Most simultaneous spectrophotometric determination of components are currently being performed using multivariate calibration methods . Such methods have gained widespread acceptance in the analytical laboratory because they have the ability to obtain results rapidly with reasonable accuracy by eliminating the necessity of time‐consuming and tedious separations.…”

Section: Introductionmentioning

confidence: 99%

A Simple and Highly Sensitive Method for Quantitative Detection of Methyl Paraben and Phenol in Cosmetics Using Derivative Spectrophotometry and Multivariate Chemometric Techniques

Esteki

Nouroozi

Amanifar

et al. 2017

J Chinese Chemical Soc

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This paper presents a simple and sensitive method for the simultaneous determination of methyl paraben (MP) and phenol (PO) based on the application of successive projections algorithm (SPA) to the first derivative spectra (200–350 nm). SPA is used for variables selection in order to obtain multiple linear regression (MLR) models using a small subset of wavelengths. The starting vector and the number of variables are optimized and the best variables are selected according to the sequence of projection operations on the spectral data matrix of the calibration set. Principal component regression and partial least squares models are also developed for comparison. The best models are found to be SPA‐MLR using seven wavelengths from the first‐derivative spectra with a root‐mean‐square error of prediction (RMSEP) of 0.08 for MP and eight wavelengths with RMSEP of 0.31 for the determination of PO. The accuracy of the proposed method is confirmed by spiked recovery test on cosmetic samples with satisfactory results (86–110%). Analysis results of the cosmetic samples are also statistically compared with those obtained from the HPLC method, showing no significant difference regarding accuracy and precision. The results indicate the potential of SPA‐MLR and derivative spectrophotometry for rapid and sensitive analysis of cosmetic samples.

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A kinetic spectrophotometric method for simultaneous determination of phenol and its three derivatives with the aid of artificial neural network

Cited by 52 publications

References 29 publications

Investigating and modeling the cleaning-in-place process for retrieving the membrane permeate flux: Case study of hydrophilic polyethersulfone (PES)

Investigating and modeling the cleaning-in-place process for retrieving the membrane permeate flux: Case study of hydrophilic polyethersulfone (PES)

Modeling the Removal of Phenol Dyes Using a Photocatalytic Reactor with SnO₂/Fe₃O₄Nanoparticles by Intelligent System

A Simple and Highly Sensitive Method for Quantitative Detection of Methyl Paraben and Phenol in Cosmetics Using Derivative Spectrophotometry and Multivariate Chemometric Techniques

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A kinetic spectrophotometric method for simultaneous determination of phenol and its three derivatives with the aid of artificial neural network

Cited by 52 publications

References 29 publications

Investigating and modeling the cleaning-in-place process for retrieving the membrane permeate flux: Case study of hydrophilic polyethersulfone (PES)

Investigating and modeling the cleaning-in-place process for retrieving the membrane permeate flux: Case study of hydrophilic polyethersulfone (PES)

Modeling the Removal of Phenol Dyes Using a Photocatalytic Reactor with SnO2/Fe3O4Nanoparticles by Intelligent System

A Simple and Highly Sensitive Method for Quantitative Detection of Methyl Paraben and Phenol in Cosmetics Using Derivative Spectrophotometry and Multivariate Chemometric Techniques

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About

Modeling the Removal of Phenol Dyes Using a Photocatalytic Reactor with SnO₂/Fe₃O₄Nanoparticles by Intelligent System