Publication Type Journal Article
Title THE QUALITY OF STANDARDS IN LEAST SQUARES CALIBRATIONS
Authors Ricardo Bettencourt da Silva M.Filomena Camões
Groups
Journal ANALYTICAL LETTERS
Year 2010
Month
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Volume 43
Number 7
Pages 1257-1266
Abstract Frequently, the Least Square Regression Model (LSRM) assumption related to standards quality is either forgotten or formulated in too strict of a way, making its application unsuccessful or difficult. This work posits that the LSRM requires calibration standards with concentration ratios affected by negligible uncertainties that are achievable for standard solutions with large relative uncertainties. Criterion to test this assumption and a model to take into account the uncertainty of standards in performed quantifications are presented. The developed models were successfully tested with a combination of experimental data about interpolation uncertainty, for the determination of hexachlorobenzene by GC-ECD, with simulated values of standards concentrations.
DOI http://dx.doi.org/10.1080/00032710903518674
ISBN
Publisher
Book Title
ISSN 0003-2719
EISSN
Conference Name
Bibtex ID ISI:000277838400018
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