کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1223736 967900 2008 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automated electronic tongue based on potentiometric sensors for the determination of a trinary anionic surfactant mixture
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Automated electronic tongue based on potentiometric sensors for the determination of a trinary anionic surfactant mixture
چکیده انگلیسی

An automated electronic tongue consisting of an array of potentiometric sensors and an artificial neural network (ANN) has been developed to resolve mixtures of anionic surfactants. The sensor array was formed by five different flow-through sensors for anionic surfactants, based on poly(vinyl chloride) membranes having cross-sensitivity features. Feedforward multilayer neural networks were used to predict surfactant concentrations. As a great amount of information is required for the correct modelling of the sensors response, a sequential injection analysis (SIA) system was used to automatically provide it. Dodecylsulfate (DS−), dodecylbenzenesulfonate (DBS−) and α-alkene sulfonate (ALF−) formed the three-analyte study case resolved in this work. Their concentrations varied from 0.2 to 4 mM for ALF− and DBS− and from 0.2 to 5 mM for DS−. Good prediction ability was obtained with correlation coefficients better than 0.933 when the obtained values were compared with those expected for a set of 16 external test samples not used for training.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Pharmaceutical and Biomedical Analysis - Volume 46, Issue 2, 22 January 2008, Pages 213–218
نویسندگان
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