Expanding the working concentration range for the direct analysis of metallic alloys by on-line anodic electrodissolution and electrothermal atomic absorption spectrometry

Silva, José Bento Borba da; Giacomelli, Maria Bertı́lia Oss; Souza, Ivan Gonçalves de; Curtius, Adilson José

doi:10.1016/s0003-2670(99)00522-x

Cited by 6 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The latter permits the determination of cadmium at both low (linear portion) and moderately-high (non-linear portion) concentrations with the same calibration curve. This is not possible with some methods which resort to decreasing the sensitivity of the measurements for increasing the LDR, thus allowing only the determination of elements at high concentrations [8,9]. Another advantage of modeling by ANNs is, in general, the fact that no a priori knowledge of the system is required ("soft" modeling), as it is when modeling by conventional mathematical methods ("hard" modeling).…”

Section: Determination Of CD By Gfaas In a Certified Reference Materialsmentioning

confidence: 99%

“…Among the various approaches are worth mentioning: the use of peak area instead of peak height [5], high-pressure atomizers [6,7], quantitation at non-resonant absorption lines [8,9], non-stop gas condition during atomization [8], atomization off the platform or the atomizer wall [8,9], mathematical corrections of the cause of deviations from linearity [10][11][12], and less often modeling of the calibration curve with polynomial expressions [4,13,14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Increasing the working calibration range by means of artificial neural networks for the determination of cadmium by graphite furnace atomic absorption spectrometry

Hernández-Caraballo¹,

Avila-Gómez²,

Rivas

et al. 2004

Talanta

View full text Add to dashboard Cite

Feed-forward artificial neural networks (ANNs), trained with the generalized delta rule, were evaluated for modeling the non-linear behavior of calibration curves and increasing the working range for the determination of cadmium by graphite furnace atomic absorption spectrometry (GFAAS). Selection of this analyte was made on the basis of its short linear range (up to 4.0 g l −1 ). Two-layer neural networks, comprising one node in the input layer (linear transfer function); a variable number of neurons in the hidden layer (sigmoid transfer functions), and a single neuron (linear transfer function) in the output layer were assessed for such a purpose. The (1:2:1) neural network was selected on the basis of its capacity to adequately model the working calibration curve in the range of study (0-22.0 g l −1 Cd). The latter resulted in a nearly six fold increase in the working range. Cadmium was determined in the certified reference material "Trace Elements in Drinking Water" (High Purity Standards, Lot No. 490915) at four concentration levels (2.0, 4.0, 8.0 and 12.0 g l −1 Cd), which were experimentally within and above the linear dynamic range (LDR). No significant differences (P < 0.05) were found between the expected concentrations and the results obtained by means of the neural network. The proposed method was compared with the conventional "dilution" approach, and with fitting the working calibration curve by means of a second-order polynomial. Modeling by means of an ANN represents an alternative calibration technique, for its use helps in reducing sample manipulation (due to the extension of the working calibration range), and may provide higher accuracy of the determinations in the non-linear portion of the curve (as a result of the better fitness of the model).

show abstract

Section: Determination Of CD By Gfaas In a Certified Reference Materialsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Increasing the working calibration range by means of artificial neural networks for the determination of cadmium by graphite furnace atomic absorption spectrometry

Hernández-Caraballo¹,

Avila-Gómez²,

Rivas

et al. 2004

Talanta

View full text Add to dashboard Cite

show abstract

Development of an integrated flow injection system for the electro-oxidative leaching of uranium from geological samples and its spectrophotometric determination with Arsenazo III

Sousa

Ferreira

Cassella

2008

Analytica Chimica Acta

View full text Add to dashboard Cite

On-line electrothermal atomic absorption spectrometry configurations: recent developments and trends

Burguera

2007

Spectrochimica Acta Part B: Atomic Spectroscopy

View full text Add to dashboard Cite

Expanding the working concentration range for the direct analysis of metallic alloys by on-line anodic electrodissolution and electrothermal atomic absorption spectrometry

Cited by 6 publications

References 26 publications

Increasing the working calibration range by means of artificial neural networks for the determination of cadmium by graphite furnace atomic absorption spectrometry

Increasing the working calibration range by means of artificial neural networks for the determination of cadmium by graphite furnace atomic absorption spectrometry

Development of an integrated flow injection system for the electro-oxidative leaching of uranium from geological samples and its spectrophotometric determination with Arsenazo III

On-line electrothermal atomic absorption spectrometry configurations: recent developments and trends

Contact Info

Product

Resources

About