Literature DB >> 21644656

A drift correction procedure.

M L Salit1, G C Turk.   

Abstract

A procedure is introduced that can mitigate the deleterious effect of low-frequency noise [Formula: see text] often termed drift [Formula: see text] on the precision of an analytical experiment. This procedure offers several performance benefits over traditional designs based on the periodic measurement of standards to diagnose and correct for variation in instrument response. Using repeated measurements of every sample as a drift diagnostic, as opposed to requiring the periodic measurement of any given sample or standard, the analyst can better budget the measurement time to be devoted to each sample, distributing it to optimize the uncertainty of the analytical result. The drift is diagnosed from the repeated measurements, a model of the instrument response drift is constructed, and the data are corrected to a "drift-free" condition. This drift-free condition allows data to be accumulated over long periods of time with little or no loss in precision due to drift. More than 10-fold precision enhancements of analytical atomic emission results have been observed, with no statistically significant effects on the means. The procedure is described, performance data are presented, and matters regarding the procedure are discussed.

Year:  1998        PMID: 21644656     DOI: 10.1021/ac980095b

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  3 in total

1.  Optimization of electronic nose drift correction applied to tomato volatile profiling.

Authors:  Mercedes Valcárcel; Ginés Ibáñez; Raúl Martí; Joaquim Beltrán; Jaime Cebolla-Cornejo; Salvador Roselló
Journal:  Anal Bioanal Chem       Date:  2021-04-23       Impact factor: 4.142

2.  Accurate quantitation standards of glutathione via traceable sulfur measurement by inductively coupled plasma optical emission spectrometry and ion chromatography.

Authors:  L Rastogi; K Dash; J Arunachalam
Journal:  J Pharm Anal       Date:  2013-03-05

3.  A batch correction method for liquid chromatography-mass spectrometry data that does not depend on quality control samples.

Authors:  Martin Rusilowicz; Michael Dickinson; Adrian Charlton; Simon O'Keefe; Julie Wilson
Journal:  Metabolomics       Date:  2016-02-18       Impact factor: 4.290

  3 in total

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