Posters
« Back
Setting the Target (Maximum Admissible) Measurement Uncertainty for Different Analytical Goals
EP23567
Poster Title: Setting the Target (Maximum Admissible) Measurement Uncertainty for Different Analytical Goals
Submitted on 30 Oct 2015
Author(s): Ricardo J. N. Bettencourt da Silva 1, Alex Williams 2
Affiliations: 1 ‐ Centro de Química Estrutural (CQE), University of Lisbon (rjsilva@fc.ul.pt); 2 ‐ Chairman EURACHEM/CITAC Measurement Traceability and Uncertainty WG (aw@camberley.demon.co.uk)
This poster was presented at Pittcon 2015
Poster Views: 1,704
View poster »


Poster Information
Abstract: All measurements are performed with a goal, ranging from the assessment of the compliance of a product with a specification to the characterization of a new material. The adequate fulfilment of this goal depends on the fitness of measurement uncertainty (MU) for its intended use. The assessment of the compliance of a gold alloy with a specification for gold content must be performed with a low uncertainty due to the price of this component. The characterisation of a meteorite must be performed with an uncertainty small enough to distinguish their composition from other minerals. Therefore in setting the measurement requirements, in addition to specifying performance parameters such as recovery, repeatability and bias, it is also necessary to set a target value for the MU.
The International Vocabulary of Metrology [http://www.bipm.org/vim], defines the “target uncertainty” as the “MU specified as an upper limit and decided on the basis of the intended use of measurement results”.
Unfortunately only in a few cases does the specification and/or the legislation define the target measurement uncertainty required for compliance assessment.
This communication will describe how to set the target MU to achieve the goals of the measurement.
Summary: This communication will describe how to set the target (maximum admissible) measurement uncertainty to achieve the goals of the measurement.Report abuse »
Questions
Ask the author a question about this poster.
Ask a Question »

Creative Commons

Related Posters


VITVO: Mimicking In Vivo Complexity By The Innovative 3D Model
Olivia Candini1, Giulia Grisendi1, Elisabetta Manuela Foppiani1, Matteo Brogli1, Beatrice Aramini2, Valentina Masciale3, Carlotta Spano1, Tiziana Petrachi4, Elena Veronesi4, Pierfranco Conte5,6, Giorgio Mari1 & Massimo Dominici1,3

Digiceuticals
Helana Lutfi and Shaban Nuredini

Applying Trapped Ion Mobility Separation (TIMS) in combination with Parallel Accumulation Serial Fragmentation (PASEF) for analysis of lipidomics samples
Sebastian Götz1, Sven W Meyer1,Ulrike Schweiger-Hufnagel1,Aiko Barsch1, Ningombam Sanjib Meitei2

Clinical pattern in electrophysiological variants of acute acquired polyneuropathies and their clinical outcome, a three years data
Naseebullah, Salman Mansoor, Azhar Saeed

Rare neurological deficit after electric shock A clinically diagnosed case report
Naseebullah, Salman Mansoor, Arsalan Ahmad, Shahid Shah