Simultaneous determination of phenol isomers in binary mixtures by differential pulse voltammetry using carbon fibre electrode and neural network with pruning as a multivariate calibration tool

Carvalho, Rosângela M. de; Mello, César; Kubota, Lauro T.

doi:10.1016/s0003-2670(00)01012-6

Cited by 136 publications

(47 citation statements)

References 35 publications

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“…To obtain representative calibration and external validation sets despite this compositional variation, a PCA (Carvalho et al 2000) was performed on the near-infrared spectral data of the ricotta samples. Multiplicative scatter correction (MSC) and data mean centering (MC) were used to obtain the score data of the first principal component (PC1) versus the second component (PC1 and PC2 represent 95.1 % of data variance- Fig.…”

Section: Resultsmentioning

confidence: 99%

Determination of fat, protein and moisture in ricotta cheese by near infrared spectroscopy and multivariate calibration

2013

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Near-infrared reflectance spectroscopy (NIRS) with partial least squares regression (PLSR) was used to determine levels of fat, protein and moisture in ricotta cheese without complex sample preparation. Spectra of 19 conventional and low-fat ricotta samples from different manufacturers were collected in duplicate, with 33 of the 38 spectra used as a calibration set and the remaining 5 spectra used as an external validation set. The best results were obtained by processing the spectral region between 1,100 and 2,500 nm. Multivariate models with six latent variables (LVs) showed good prediction capability for fat and protein determinations, with average relative errors (Er) of 6.37 % and 5.95 %, respectively. For moisture, a more robust model was obtained with 4 LVs, showing better prevision capacity and Er of 1.91 %.

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Section: Resultsmentioning

confidence: 99%

Determination of fat, protein and moisture in ricotta cheese by near infrared spectroscopy and multivariate calibration

2013

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“…(21), (22) and (23) is simulated for a random sequence of steps in the input variable, the sampling time is 10 s. As a result In order to eliminate the problem with saturation of hidden nodes, the process variables q 1 and pH are scaled where in the initial operating point q 10 = 15.55 ml/s, pH 0 = 7. Analogously to some previous work [51,52], the second-order of model dynamics is used, i.e.…”

Section: Training Of the Initial Full Modelmentioning

confidence: 99%

“…There are numerous pruning methods, e.g. the Tukey-Kramer multiple comparison procedure [22], pruning using cross-validation [23], the pruning method optimised with a Particle Swarm Optimisation (PSO) algorithm [24], Bayesian regularisation [25], pruning using Minimum Validation error regulariser [26], Optimal Brain Damage (OBD) [27], optimal brain surgeon [28], and other novel approaches [29]. In particular, the OBD algorithm is very effective as reported in the literature.…”

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confidence: 99%

Pruning of recurrent neural models: an optimal brain damage approach

Chaber

Ławryńczuk

2018

Nonlinear Dyn

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This paper considers the problem of pruning recurrent neural models of perceptron type with one hidden layer which may be used for modelling of dynamic system. In order to reduce the number of model parameters (i.e. the number of weights), the Optimal Brain Damage (OBD) pruning algorithm is adopted for the recurrent neural models. Efficiency of the OBD algorithm is demonstrated for pruning neural models of a neutralisation reactor benchmark process. For the considered neutralisation system, the OBD algorithm makes it possible to reduce as many as 60% of model parameters and reduce the validation error by some 30% when compared to the full (unpruned) models.

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“…8,9 In addition, their competitive adsorption at the electrode surface makes the relationship between the voltammetric response and concentration in the mixtures nonlinear. 10 In order to solve these problems, many chemical modified electrodes were prepared for the simple, non-separate and simultaneous determination of isomers, such as carbon nanotubes modified electrode 11 and poly (glutamic acid) modified electrode. 12 Polymer-modified electrodes (PMEs) have received attention in recent years, 13,14 due to their good stability, reproducibility and homogeneity in electrochemical deposition and strong adherence to electrode surface.…”

Section: Introductionmentioning

confidence: 99%

Preparation of Poly-(p-aminobenzoic acid)/Multiwall Carbon Nanotubes Composite Film Modified Glassy Carbon Electrode and Application to Detect Catechol and Hydroquinone Simultaneously

Lou

Kang

et al. 2013

Electrochemistry

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The electrochemical reaction of catechol (CC) and hydroquinone (HQ) was investigated at poly-(p-aminobenzoic acid) (p-ABA)/multiwall carbon nanotubes (MWCNTs) composite film modified glassy carbon (GC) electrode via cyclic voltammetry (CV). Separation of the peak potentials for CC and HQ was about 105 mV in 0.1 mol/L H 2 SO 4 , which makes it suitable for simultaneous determination of these compounds. Under optimized conditions, the oxidation current of CC and HQ have been enhanced linearly with the concentration in the range of 1 × 10−3 mol/L (r = 0.9979) and 1 × 10-1 × 10 −3 mol/L (r = 0.9948), with the detection limit of CC and HQ 4 × 10 −6 and 2.7 × 10 −6 mol/L, respectively. The proposed method has been applied to determine CC and HQ simultaneously with good results, which shows excellent stability and reproducibility.

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Simultaneous determination of phenol isomers in binary mixtures by differential pulse voltammetry using carbon fibre electrode and neural network with pruning as a multivariate calibration tool

Cited by 136 publications

References 35 publications

Determination of fat, protein and moisture in ricotta cheese by near infrared spectroscopy and multivariate calibration

Determination of fat, protein and moisture in ricotta cheese by near infrared spectroscopy and multivariate calibration

Pruning of recurrent neural models: an optimal brain damage approach

Preparation of Poly-(p-aminobenzoic acid)/Multiwall Carbon Nanotubes Composite Film Modified Glassy Carbon Electrode and Application to Detect Catechol and Hydroquinone Simultaneously

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