Validation and estimation of uncertainty of an analytical method to quantify total iron by the colorimetric method of phenantrolin in potable and natural water

Authors

  • Jonathan Herrera M. Centro para la Investigación en Recursos Acuáticos de Nicaragua de la Universidad Nacional Autónoma de Nicaragua, Managua. CIRA/UNAN-Managua

DOI:

https://doi.org/10.5377/farem.v0i34.10014

Keywords:

method, validation, uncertainty, evaluation

Abstract

The next project involves the validation and estimation of the uncertainty of an analytical method to determine Total Iron by the Phenantroline method in natural water samples, at the Natural Water Laboratory CIRA - UNAN. This in order for the laboratory to demonstrate that the analytical method provides reliable results, following the methodology established by the Standard Methods for the Examination of Water and Wastewater. 22 ed. Washington: APHA. Within this context, the project was made possible by the financial support of UNAN-Managua’s Own Research Funds (IPFs). The evaluation of the method was carried out taking into account criteria such as: linearity, working range, limit of detection and quantification of instrumental and method, accuracy (veracity, repeatability), intermediate accuracy, and as a criterion outside of validation, but of the utmost importance, the estimation of bias or uncertainty of the method, all by developing statistical calculations with the aim of having the natural water laboratory with a validated methodology , as a necessary element for the accreditation of these natural water quality variables.

Downloads

Download data is not yet available.
Abstract
1769
PDF (Español (España)) 1258
HTML (Español (España)) 781

Published

2020-07-08

How to Cite

Herrera M., J. (2020). Validation and estimation of uncertainty of an analytical method to quantify total iron by the colorimetric method of phenantrolin in potable and natural water. Revista Científica De La FAREM-Estelí, (34), 154–168. https://doi.org/10.5377/farem.v0i34.10014

Issue

Section

Environmental Sciences