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Lopez-Moreno C.,Environmental Services Laboratory of Malaga | Perez I.V.,Environmental Services Laboratory of Malaga | Urbano A.M.,Environmental Services Laboratory of Malaga
Food Chemistry | Year: 2016

The purpose of this study is to develop the validation of a method for the analysis of certain preservatives in meat and to obtain a suitable Certified Reference Material (CRM) to achieve this task. The preservatives studied were NO3-, NO2- and Cl- as they serve as important antimicrobial agents in meat to inhibit the growth of bacteria spoilage. The meat samples were prepared using a treatment that allowed the production of a known CRM concentration that is highly homogeneous and stable in time. The matrix effects were also studied to evaluate the influence on the analytical signal for the ions of interest, showing that the matrix influence does not affect the final result. An assessment of the signal variation in time was carried out for the ions. In this regard, although the chloride and nitrate signal remained stable for the duration of the study, the nitrite signal decreased appreciably with time. A mathematical treatment of the data gave a stable nitrite signal, obtaining a method suitable for the validation of these anions in meat. A statistical study was needed for the validation of the method, where the precision, accuracy, uncertainty and other mathematical parameters were evaluated obtaining satisfactory results. © 2015 Elsevier Ltd.

Lopez-Moreno C.,Environmental Services Laboratory of Malaga | Viera I.,Environmental Services Laboratory of Malaga | Urbano A.M.,Environmental Services Laboratory of Malaga
Desalination | Year: 2010

In this work, the validation of the method for the determination of chloride, nitrate and sulphate in potable drinking water and non-treated water was performed. The instrumental setup used was an automated ion chromatograph equipped with chemical suppression system for anion analysis. The significance of this paper falls on the statistical study of the analytical method, where all the uncertainty contributions involved in the process have been considered. Parameters such as repeatability, reproducibility, precision, accuracy, uncertainty, limits of detection and quantification, range of measurement and calibration figures of merit, were determined in this paper. © 2010 Elsevier B.V. All rights reserved.

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