NDLI: An approach to detection capabilities estimation of analytical procedures based on measurement uncertainty

Content Provider	Springer Nature Link
Author	Jiménez Chacón, Juan Alvarez Prieto, Manuel
Copyright Year	2009
Abstract	Detection capabilities are important performance characteristics of analytical procedures. There are several conceptual approaches on the subject, but in most of them a level of ambiguity is presented. It is not clear which conditions of measurements should be used, and there is a relative lack of definition concerning blanks. Moreover, there are no systematic experimental studies concerning the influence of uncertainty associated with bias evaluation. A new approach based on measurement uncertainty is presented for estimating quantities that characterize capabilities of detection. It can be applied to different conditions of measurement and it is not necessary to perform an additional experiment with blanks. Starting from a modelling process of the combined uncertainty of concentration, it is possible to include in the estimated quantities the effects due to random errors and the uncertainty associated to evaluation of bias. The detection capabilities are then compared with the results obtained using some other relevant approaches. Slightly higher values were obtained with the measurement uncertainty approach due to inclusion of uncertainty associated with bias.
Starting Page	19
Ending Page	28
Page Count	10
File Format	PDF
ISSN	09491775
Journal	Accreditation and Quality Assurance
Volume Number	15
Issue Number	1
e-ISSN	14320517
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-11-06
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Detection limit Critical concentration Detection capabilities Uncertainty modelling Validation Marketing Ecotoxicology Biochemistry Analytical Chemistry Commercial Law Food Science
Content Type	Text
Resource Type	Article
Subject	Chemistry Instrumentation Chemical Engineering Safety, Risk, Reliability and Quality

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