| Literature DB >> 27721348 |
Raymond N Xu1, Jill Polzin2, Michelle Kranz3, Phillip Vaca4, Maria Metchkarova5, Matthew J Rieser6, Tawakol A El-Shourbagy7.
Abstract
When compared with biological samples in other matrices (plasma, urine, etc.) that are typically seen in bioanalytical applications, whole blood samples present unique challenges in method development, because of the viscous nature of blood and complexity of its constituents. In this article, we have developed and validated a series of quantitative bioanalytical methods for the determination of a pharmaceutical compound, Compound A, and its phosphate metabolite from whole blood matrices using liquid chromatography tandem mass spectrometry. All methods employed a simple protein precipitation procedure that was automated in 96-well format. The methods were subjected to vigorous tests in precision, accuracy, matrix effect, reproducibility, and robustness. Monolithic chromatography was used to improve sample throughput in one of the methods. The results also demonstrated that proper sample preparation procedures, such as sample transfer and lysing of blood cells prior to the extraction, are key to reproducible results for pharmacokinetic parameter determination.Entities:
Keywords: automation; extraction; high throughput analysis; incurred sample reproducibility; liquid chromatography; metabolite; prodrug; tandem mass spectrometry; whole blood matrix
Year: 2010 PMID: 27721348 PMCID: PMC3986713 DOI: 10.3390/pharmaceutics2020159
Source DB: PubMed Journal: Pharmaceutics ISSN: 1999-4923 Impact factor: 6.321
Inter-day accuracy and precision of the LLOQ, low QC (LQC), mid QC (MQC), high QC (HQC), and ULOQ evaluation samples for rat whole blood method. Mean values in the table are the average of the back-calculated concentrations from the standard curve.
| QC sample (ng/mL) | Compound A | Metabolite | ||||||||
| LLOQ | LQC | MQC | HQC | ULOQ | LLOQ | LQC | MQC | HQC | ULOQ | |
| 4.36 | 11.0 | 137 | 1,720 | 2,180 | 4.59 | 11.7 | 147 | 1,830 | 2,300 | |
| n | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 |
| Mean | 4.46 | 11.6 | 144 | 1,760 | 2,160 | 5.06 | 13.0 | 159 | 1,930 | 2,300 |
| CV (%) | 3.4 | 2.2 | 2.3 | 2.3 | 2.6 | 10.9 | 4.9 | 2.3 | 1.9 | 2.0 |
| Bias (%) | 2.3 | 5.5 | 5.1 | 2.3 | -0.9 | 10.2 | 11.1 | 8.2 | 5.5 | 0.0 |
Figure 1Representative ion chromatograms of an LLOQ sample from the rat whole blood method.
Inter-day accuracy and precision of the LLOQ, LQC, MQC, HQC, and ULOQ evaluation samples for the dog whole blood method. Mean values in the table are the average of the back-calculated concentrations from the standard curve.
| QC sample (ng/mL) | Compound A | Metabolite | ||||||||
| LLOQ | LQC | MQC | HQC | ULOQ | LLOQ | LQC | MQC | HQC | ULOQ | |
| 10.8 | 22.1 | 276 | 2,300 | 2,730 | 3.17 | 6.72 | 84.0 | 700 | 811 | |
| n | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 |
| Mean | 11.5 | 22.9 | 290 | 2,350 | 2,680 | 3.36 | 6.98 | 84.9 | 721 | 835 |
| CV (%) | 4.7 | 5.0 | 2.5 | 4.8 | 5.0 | 14.5 | 8.0 | 3.3 | 4.4 | 4.0 |
| Bias (%) | 6.5 | 3.6 | 5.1 | 2.2 | -1.8 | 6.0 | 3.9 | 1.1 | 3.0 | 3.0 |
Figure 2Representative ion chromatograms of an LLOQ sample from the dog whole blood method.
Inter-day accuracy and precision of the LLOQ, LQC, MQC, HQC, and ULOQ evaluation samples for the rabbit whole blood method. Mean values in the table are average of the back-calculated concentrations from the standard curve.
| QC sample (ng/mL) | Compound A | Metabolite | ||||||||
| LLOQ | LQC | MQC | HQC | ULOQ | LLOQ | LQC | MQC | HQC | ULOQ | |
| 4.05 | 10.5 | 131 | 1,640 | 2,030 | 4.04 | 10.5 | 132 | 1,650 | 2,020 | |
| n | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 |
| Mean | 4.30 | 10.5 | 127 | 1,630 | 2,080 | 4.19 | 10.9 | 130 | 1,620 | 1,960 |
| CV (%) | 4.2 | 2.5 | 3.4 | 3.5 | 2.7 | 6.3 | 4.8 | 2.3 | 2.0 | 1.8 |
| Bias (%) | 6.2 | 0.0 | 5.0 | -0.6 | 2.5 | 3.7 | 3.8 | -1.5 | -1.8 | -3.0 |
Figure 3Representative ion chromatograms of an LLOQ sample from the rabbit whole blood method.