Use this link to cite:
http://hdl.handle.net/2183/30952 Herramienta de gestión, cálculo y control en laboratorio del límite de residuos de medicamentos veterinarios y contaminantes en alimentos
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Martos Dourado, David
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Abstract
[Resumen] En este proyecto se trata el desarrollo de una aplicación multiplataforma que permite organizar
los distintos datos obtenidos durante la validación de un método analítico, con el objetivo
de poder controlar los límites de residuos y contaminantes establecidos en alimentos. Esta
aplicación permite verificar que un método analítico desarrollado en un laboratorio funciona
adecuadamente y cumple con la legislación vigente. Todo ello se consigue insertando en la
aplicación de forma automática los datos obtenidos de diferentes muestras empleadas para
validar el método. A continuación la aplicación realiza una serie de cálculos estadísticos y da
cómo resultado determinados parámetros que permiten evaluar el método.
[Abstract] In this project the development of a cross-platform application is studied, which allows to organize the different values obtained during the validation of an analytical method, in order to control the established limits of residue and contaminants on food. This tool allows to verify that an analytical method developed in a laboratory works correctly and comply with the law. This is accomplished by automatically inserting in the application the data obtained from different samples used to validate the method. After that, the tool performs a series of statistical calculations and obtains certain properties that can allow the method to be evaluated.
[Abstract] In this project the development of a cross-platform application is studied, which allows to organize the different values obtained during the validation of an analytical method, in order to control the established limits of residue and contaminants on food. This tool allows to verify that an analytical method developed in a laboratory works correctly and comply with the law. This is accomplished by automatically inserting in the application the data obtained from different samples used to validate the method. After that, the tool performs a series of statistical calculations and obtains certain properties that can allow the method to be evaluated.







