Data are mean predicted k values. Conditions: (A) nine data sets, 10% random error; (6) six data sets, 20% random error; (C) nine data sets, limited Cand t,10% random error. The real value of k for conditions A-C is 0.5. Values in parentheses are coefficients of variation; ranges are ranges of predi
A MODIFIED RESIDUAL METHOD TO ESTIMATE THE ZERO-ORDER ABSORPTION RATE CONSTANT IN A ONE-COMPARTMENT MODEL
✍ Scribed by XINGRONG LIU; KIM L. R. BROUWER; GARY M. POLLACK
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 521 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0142-2782
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✦ Synopsis
The objective of this work was to develop a simple residual method to estimate the rate constant for actual or apparent zero-order absorption into a one-compartment model. The method is based on the fact that, in theory, a plot of residuals versus e 7Kt is linear for a zero-order absorption process, where K represents the elimination rate constant governing the terminal phase of the concentration±time pro®le. The apparent absorption rate constant (K 0 ) can be calculated from the slope and intercept of the residual plot. Simulated concentration±time data with superimposed random error (CV=5, 10, 15%, n=8), as well as data sets from the literature for hydro¯umethiazide and theophylline were analyzed with the proposed method of residuals. Parameters derived with the new technique were compared to both the nonlinear least-squares regression and the Wagner±Nelson method, all of which yield comparable K 0 estimates. These results indicate that the proposed method of residuals represents a simple approach for estimating the apparent zero-order absorption rate constant analogous to classic residual analysis for ®rst-order absorption. &1997 by John Wiley & Sons, Ltd.
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