Simultaneous spectrophotometric determination of phosphate and silicate by using principal component artificial neural network

Ann Chim. 2007 Aug;97(8):723-31. doi: 10.1002/adic.200790056.

Abstract

A very sensitive, simple and selective spectrophotometric method for simultaneous determination of phosphate and silicate based on formation of phospho- and silicomolybdenum blue complexes in the presence of ascorbic acid is described. Although the complexes of phosphate and silicate with reagent in the presence of ascorbic acid show a spectral overlap, they have been simultaneously determined by principal component artificial neural network (PC-ANN). The PC-ANN architectures were different for phosphate and silicate. The output of phosphate PC-ANN architecture was used as an input for silicate PC-ANN architecture. This modification improves the capability of silicate PC-ANN model for prediction of silicate concentrations. The linear range was 0.01-3.00 microg mL(-1) for phosphate and 0.01-5.00 microg mL(-1) for silicate. Interference effects of common anions and cations were studied and the proposed method was also applied satisfactorily to the determination of phosphate and silicate in detergents.

Publication types

  • Evaluation Study

MeSH terms

  • Detergents / chemistry
  • Molybdenum / chemistry
  • Neural Networks, Computer*
  • Phosphates / analysis*
  • Phosphates / chemistry
  • Principal Component Analysis / methods*
  • Sensitivity and Specificity
  • Silicates / analysis*
  • Silicates / chemistry
  • Spectrophotometry, Ultraviolet / methods*

Substances

  • Detergents
  • Phosphates
  • Silicates
  • Molybdenum