Linearity of chromatographic systems in drug analysis part III: examples of nonlinear drug assays

Author:

Burrows John1,Watson Kenneth1

Affiliation:

1. Anastats, Rowan Lodge, Olde Fairfield, Bourton, Dorset, SP8 5YG, UK

Abstract

Chromatography-based drug assays are generally considered to be linear, provided that the back calculated concentrations of 75% of the calibrators are within ±15% of their target values. Data meeting this criterion are not usually subject to further examination in order to evaluate the extent of any nonlinearity and whether use of a nonlinear calibration function would improve the accuracy. Examples of nonlinear behavior are presented for several chromatographic systems and most are best described by the nonlinear equation y = a + bx + cxln(x). A more critical evaluation of linearity, as presented herein, can lead to the identification of nonlinear behavior and an improvement in accuracy by use of a nonlinear calibration regression.

Publisher

Future Science Ltd

Subject

Medical Laboratory Technology,Clinical Biochemistry,General Pharmacology, Toxicology and Pharmaceutics,General Medicine,Analytical Chemistry

Reference20 articles.

1. Linearity of chromatographic systems in drug analysis part I: theory of nonlinearity and quantification of curvature

2. Linearity of chromatographic systems in drug analysis part II: a Monte Carlo justification for the use of nonlinear regressions

3. US FDA. Guidance for Industry: Bioanalytical Method Validation. US Department of Health and Human Services, FDA, Center for Drug Evaluation and Research, MD, USA (2001). www.fda.gov/downloads/Drugs/Guidances/ucm070107.pdf.

4. US FDA. Draft Guidance for Industry: Bioanalytical Method Validation. US Department of Health and Human Services, FDA, Center for Drug Evaluation and Research; MD, USA (2013). www.fda.gov/downloads/drugs/guidancecomplianceregulatoryinformation/guidances/ucm368107.pdf.

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