Document Detail

Wavelet neural networks to resolve the overlapping signal in the voltammetric determination of phenolic compounds.
MedLine Citation:
PMID:  18585293     Owner:  NLM     Status:  MEDLINE    
Three phenolic compounds, i.e. phenol, catechol and 4-acetamidophenol, were simultaneously determined by voltammetric detection of its oxidation reaction at the surface of an epoxy-graphite transducer. Because of strong signal overlapping, Wavelet Neural Networks (WNN) were used in data treatment, in a combination of chemometrics and electrochemical sensors, already known as the electronic tongue concept. To facilitate calibration, a set of samples (concentration of each phenol ranging from 0.25 to 2.5mM) was prepared automatically by employing a Sequential Injection System. Phenolic compounds could be resolved with good prediction ability, showing correlation coefficients greater than 0.929 when the obtained values were compared with those expected for a set of samples not employed for training.
Juan Manuel Gutiérrez; Albert Gutés; Francisco Céspedes; Manuel del Valle; Roberto Muñoz
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-03-21
Journal Detail:
Title:  Talanta     Volume:  76     ISSN:  1873-3573     ISO Abbreviation:  Talanta     Publication Date:  2008 Jul 
Date Detail:
Created Date:  2008-06-30     Completed Date:  2008-08-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2984816R     Medline TA:  Talanta     Country:  England    
Other Details:
Languages:  eng     Pagination:  373-81     Citation Subset:  IM    
Bioelectronics Section, Department of Electrical Engineering, CINVESTAV, 07360 Mexico DF, Mexico.
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MeSH Terms
Electrochemistry / methods*,  standards
Neural Networks (Computer)*
Phenols / analysis*
Reg. No./Substance:

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