2013
DOI: 10.1016/j.talanta.2013.03.066
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Simultaneous and automated monitoring of the multimetal biosorption processes by potentiometric sensor array and artificial neural network

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Cited by 12 publications
(2 citation statements)
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“…Data were modeled by an ANN, and RMSE values at~0.07 mmol L −1 could be determined. The system was also adapted to monitor in real-time binary (Cu 2+ /Pb 2+ ), (Cu 2+ /Zn 2+ ) and ternary (Cu 2+ /Pb 2+ /Zn 2+ ), (Cu 2+ /Zn 2+ /Cd 2+ ) mixtures, simultaneously releasing Ca 2+ ions in the effluent solution [64]. This task was only possible due to a more elaborated algorithm employed in the ANN modeling that was applied using the Fourier transform during model optimization, establishing the affinity order Pb 2+ > Cu 2+ > Zn 2+ > Cd 2+ .…”
Section: Computational Analysis Assisting E-tongues In the Detection mentioning
confidence: 99%
“…Data were modeled by an ANN, and RMSE values at~0.07 mmol L −1 could be determined. The system was also adapted to monitor in real-time binary (Cu 2+ /Pb 2+ ), (Cu 2+ /Zn 2+ ) and ternary (Cu 2+ /Pb 2+ /Zn 2+ ), (Cu 2+ /Zn 2+ /Cd 2+ ) mixtures, simultaneously releasing Ca 2+ ions in the effluent solution [64]. This task was only possible due to a more elaborated algorithm employed in the ANN modeling that was applied using the Fourier transform during model optimization, establishing the affinity order Pb 2+ > Cu 2+ > Zn 2+ > Cd 2+ .…”
Section: Computational Analysis Assisting E-tongues In the Detection mentioning
confidence: 99%
“…With their use, an important advantage is the generation of multivariate data, that afterwards also makes possible the interpretation of complex compositions, the resolution of mixtures, the deconvolution of the contributions from primary species and their interferents, or even, to distinguish between spurious responses and the true ones [6]. ET systems are mainly applied in solving qualitative problems in food industry [7][8][9], but also, their virtues can be exploited in the quantification of a wide variety of analytes in fields such as medical [10,11], environmental [12][13][14] and also food and beverages [15,16].…”
Section: Introductionmentioning
confidence: 99%