title: Double injection/single detection asymmetric flow injection manifold for spectrophotometric determination of ascorbic acid and uric acid: Selection the optimal conditions by MCDM approach based on different criteria weighting methods.
abstract: A simple and sensitive double injection/single detector flow injection analysis (FIA) method is proposed for the simultaneous kinetic determination of ascorbic acid (AA) and uric acid (UA). This method is based upon the difference between the rates of the AA and UA reactions with Fe3+in the presence of 1, 10-phenanthroline (phen). The absorbance of Fe2+/1, 10-phenanthroline (Fe-phen) complex obtained as the product was measured spectrophotometrically at 510nm. To reach a good accuracy in the differential kinetic determination via the mathematical manipulations of the transient signals, different criteria were considered in the selection of the optimum conditions. The multi criteria decision making (MCDM) approach was applied for the selection of the optimum conditions. The importance weights of the evaluation criteria were determined using the analytic hierarchy process, entropy method, and compromised weighting (CW). The experimental conditions (alternatives) were ranked by the technique for order preference by similarity to an ideal solution. Under the selected optimum conditions, the obtained analytical signals were linear in the ranges of 0.50-5.00 and 0.50-4.00mgL-1for AA and UA, respectively. The 3σ detection limits were 0.07mgL-1for AA and 0.12mgL-1for UA. The relative standard deviations for four replicate determinations of AA and UA were 2.03% and 3.30% respectively. The method was also applied for the analysis of analytes in the blood serum, Vitamine C tablets, and tap water with satisfactory results.
authors.affiliation: College of Chemistry, Shahrood University of Technology, Shahrood, P.O. Box 36155-316, Iran.
authors.forename: Samira
authors.initials: S
authors.lastname: Boroumand
authors.affiliation: College of Chemistry, Shahrood University of Technology, Shahrood, P.O. Box 36155-316, Iran. Electronic address: marab@shahroodut.ac.ir.
authors.forename: Mansour Arab
authors.initials: MA
authors.lastname: Chamjangali
authors.affiliation: College of Chemistry, Shahrood University of Technology, Shahrood, P.O. Box 36155-316, Iran.
authors.forename: Ghadamali
authors.initials: G
authors.lastname: Bagherian
mesh_terms: D001205:Ascorbic Acid / Q000032:analysis*; D003657:Decision Making; D017022:Flow Injection Analysis / Q000379:methods*; D006863:Hydrogen-Ion Concentration; D007202:Indicators and Reagents; D007501:Iron / Q000737:chemistry; D009994:Osmolar Concentration; D010618:Phenanthrolines / Q000737:chemistry; D013053:Spectrophotometry / Q000379:methods*; D014527:Uric Acid / Q000032:analysis*
chemical_list: D007202:Indicators and Reagents; D010618:Phenanthrolines; D014527:Uric Acid; D007501:Iron; D001205:Ascorbic Acid
keywords: Ascorbic acid and uric acid; Flow injection analysis; Multi criteria decision making (MCDM); Simultaneous determination; TOPSIS