| Literature DB >> 28501154 |
Marcin Wieczorek1, Silvia Rengevicova2, Paweł Świt3, Aneta Woźniakiewicz3, Joanna Kozak3, Paweł Kościelniak3.
Abstract
A novel method for correction of unknown unspecific (additive) interferences was developed in sequential injection analysis (SIA) using a Lab on Valve module (LOV) with spectrophotometric detection. The method implements a novel idea to calibrate by the standard addition method in several different chemical conditions created in such a way to measure different signal for an analyte and unchanged signal for interferents causing additive effect. This approach, being an enhancement of the H-point standard addition method (HPSAM), enables to quantify unbiased concentration of an analyte in the presence of unknown interferences. The method was tested on the example of the determination of ascorbic acid in soft drinks and juices basing on reduction of Fe(III) to Fe(II) and reaction of the latter with o-phenanthroline to the ferroin complex absorbing at 512.0nm. The analytical utility of the method has been verified and confirmed by the spectrophotometric determination of total acidity in rose and red wines in the presence of bromothymol blue absorbing at 616.0nm. Calibration solutions were prepared automatically in the designed flow system. Ascorbic acid was determined with LOD of 1.4mgL-1 and LOQ of 4.2mgL-1 within linear working range up to 80mgL-1, while in case of the determination of total acidity the values of 4.2, 11.8 and 100, respectively, were obtained. A sample was consumed in volumes of 400 and 1000µL in both cases. The analyses are simple, "green", and non-expensive. The developed method is readily applicable to analysis of real samples of complex unknown matrices and adaptable to different analytical methods.Entities:
Keywords: Analytical calibration, H-point standard addition method; Ascorbic acid; Soft drinks; Total acidity; Unspecific interferences; Wines
Year: 2017 PMID: 28501154 DOI: 10.1016/j.talanta.2017.03.101
Source DB: PubMed Journal: Talanta ISSN: 0039-9140 Impact factor: 6.057