Simultaneous Spectrophotometric Determination of Phosphate and Silicate by Using Principal Component Artificial Neural Network

✍ Scribed by Kobra Zarei; Morteza Atabati; Mehdi Nekoei

• Publisher: John Wiley and Sons
• Year: 2007
• Tongue: English
• Weight: 153 KB
• Volume: 97
• Category: Article
• ISSN: 0003-4592
• DOI: 10.1002/adic.200790056

✦ Synopsis

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 μg mL^‐1^ for phosphate and 0.01‐5.00 μg 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.