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Natalija Nakov, Liljana Bogdanovska, Jelena Acevska, Jasmina Tonic-Ribarska, Rumenka Petkovska, Aneta Dimitrovska, Lilia Kasabova, Dobrin Svinarov, High-Throughput HPLC-MS/MS Method for Quantification of Ibuprofen Enantiomers in Human Plasma: Focus on Investigation of Metabolite Interference, Journal of Chromatographic Science, Volume 54, Issue 10, 30 November 2016, Pages 1820–1826, https://doi.org/10.1093/chromsci/bmw166
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Abstract
In this research, as a part of the development of fast and reliable HPLC-MS/MS method for quantification of ibuprofen (IBP) enantiomers in human plasma, the possibility of IBP acylglucoronide (IBP-Glu) back-conversion was assessed. This involved investigation of in source and in vitro back-conversion. The separation of IBP enantiomers, its metabolite and rac-IBP-d3 (internal standard), was achieved within 6 min using Chiracel OJ-RH chromatographic column (150 × 2.1 mm, 5 μm). The followed selected reaction monitoring transitions for IBP-Glu (m/z 381.4 → 205.4, m/z 381.4 → 161.4 and m/z 205.4 → 161.4) implied that under the optimized electrospray ionization parameters, in source back-conversion of IBP-Glu was insignificant. The results obtained after liquid-liquid extraction of plasma samples spiked with IBP-Glu revealed that the amount of IBP enantiomers generated by IBP-Glu back-conversion was far <20% of lower limit of quantification sample. These results indicate that the presence of IBP-Glu in real samples will not affect the quantification of the IBP enantiomers; thereby reliability of the method was improved. Additional advantage of the method is the short analysis time making it suitable for the large number of samples. The method was fully validated according to the EMA guideline and was shown to meet all requirements to be applied in a pharmacokinetic study.
Introduction
Ibuprofen (IBP), an effective NSAID, is rapidly adsorbed after oral administration. The primary pathway of its metabolism is glucuronidation which results in formation of IBP acylglucoronide (IBP-Glu) (1, 2). The acylglucoronide metabolites are well known for their stability issues. These labile metabolites, present in the incurred samples, can convert back to their parent drug during sample preparation (in vitro back-conversion) and/or in the mass spectrometer (in source back-conversion), thereby jeopardizing accuracy and reproducibility of the bioanalytical method (3–6). Therefore, the possibility of bias introduced by metabolite back-conversion during the bioanalytical method development should be considered. The IBP enantiomers differ greatly in their pharmacological and pharmacokinetic properties; therefore, it is important to adopt stereospecific assay methodology. The stereospecific chromatographic separation could be achieved using derivatization reagent (indirect methods) or chiral stationary phase (direct methods). There are number of reports concerning determination of IBP enantiomers in plasma using high performance liquid chromatography with ultraviolet/fluorescent detection (HPLC-UV/FLD) (7–10) and HPLC with mass spectrometric (HPLC-MS) detection (11–16). Despite the importance of the metabolite interference testing, the reported HPLC-UV/FLD and HPLC-MS methods did not include investigation of the possibility of IBP-Glu back-conversion.
In addition, considering the large number of samples included in the bioequivalent studies, the use of high-throughput bioanalytical method is preferred. However, the existing literature data have shown that the reported high performance liquid chromatography with tandem mass detection (HPLC-MS/MS) did not provide short chromatographic runtime. Usually, the reported HPLC-MS/MS methods for analysis of IBP enantiomers in plasma that use chiral stationary phase have run times ranged from 12 (12) to 25 min (15). The indirect HPLC-MS/MS methods that use C18 chromatographic columns also did not provide separation of IBP enantiomers within short runtime and are ranged from 11 (17, 18) to 20 min (14).
In our previously published research, several critical steps that influence the quality of the data obtained from HPLC-MS/MS method for the analysis of IBP enantiomers in human plasma were investigated (16). The main objectives of this work were to further improve the method reliability and ruggedness through the investigation of the IBP-Glu back-conversion and to enhance the throughput of the existing method. The need for the detailed investigation of the IBP-Glu interference on the determination of IBP enantiomers in human plasma emerges from the fact that the metabolite interference has a great impact on the reliability of the method and currently is a hot topic. In addition, in HPLC-MS methods, it is highly preferred to use stable-isotope labeled internal standard (SIL-IS) because it not only possess similar properties as the analyte but also coelutes with the analyte (19). Therefore, to better meet the aim, SIL-IS was introduced instead of commonly used structural analog internal standard (SA-IS).
Experimental
Chemicals and reagents
Racemic IBP reference standard was purchased from EDQM (Strasbourg, France) and IBP D-acylglucoronide and racemic IBP-d3 reference standards were supplied from Sigma-Aldrich. Liquid chromatography–mass spectrometry grade methanol and water were supplied from Merck, Germany. Analytical grade acetic acid and ethylacetate were obtained from Sigma-Aldrich, Germany. The blank plasma samples were obtained from healthy volunteers.
HPLC-MS/MS conditions
The analyses were conducted on TSQ Quantum Discovery Max triple quadripole HPLC-MS/MS system (Thermo Scientific, USA) operated in electrospray ionization (ESI) (−) mode. A Chiracel OJ-RH column (150 × 2.1 mm, 5 μm) was used at the flow rate of 0.15 mL/min at 25 °C. A mixture of 0.1% (v/v) acetic acid in methanol/water (90:10, v/v) was used as a mobile phase. The injection volume was 10 μL and the chromatographic time was 6 min. The MS conditions were as follows: spray voltage 3.5 kV; sheet gas pressure 30 (in arbitrary units); capillary temperature 170oC and collision energy 9 V. The selected reaction monitoring (SRM) transitions (precursor and product ions) were m/z 381.4 → 205.4, m/z 381.4 → 161.4 and m/z 205.4 → 161.4 for IBP-Glu; m/z 205.4 → 161.4 for IBP enantiomers and m/z 207.4 → 164.4 for racemic IBP-d3.
Preparation of samples for in source and in vitro back-conversion experiments
Standard solution of IBP-Glu was prepared in concentration of 40 mg/L in 50% methanol in water. In order to investigate the in source back-conversion, IBP-Glu standard solution was injected in the HPLC-MS/MS system and analyzed under the optimized conditions.
In order to evaluate the in vitro back-conversion, blank plasma samples (n = 6) were spiked with IBP-Glu standard solution (40 mg/L) and followed by liquid-liquid extraction (LLE) procedure using 1 mL ethylacetate. The LLE procedure used for these experiments was previously described by our research group (16). Stability experiments were performed using blank plasma samples (n = 6) spiked with IBP-Glu standard solution (40 mg/L). The prepared samples were stored 18 h in dark cabinet, followed by 2 h exposition to light. After the respective storage time, samples were extracted and injected in the HPLC-MS/MS system. Also, stability after three freeze–thaw cycles of 24 h, each was determined. The amount of IBP enantiomers generated from the back-conversion of IBP-Glu was expressed as percent of lower limit of quantification (LLOQ) sample.
Preparation of calibration standards and quality control samples
The stock solution of rac-IBP (5,000 mg/L) and stock solution of IS in methanol (5,000 mg/L) were prepared and stored at −20°C. Working standard solutions of rac-IBP were prepared by dissolving appropriate amounts of rac-IBP stock solution in 50% methanol in water. The final concentration of R-IBP and S-IBP in calibration standards was 0.1; 0.2; 0.5; 1; 2; 5; 10; 20 and 50 mg/L. The concentration of R-IBP and S-IBP in quality control (QC) samples was as follows: 0.1 mg/L (LLOQ); 0.25 mg/L low QC (LQC); 8 mg/L medium QC (MQC) and 40 mg/L high QC (HQC).
IS working solution of 1.0 mg/L was prepared by dilution of IS stock solution in 50% methanol in water.
Method validation
Validation of the method for determination of IBP enantiomers was adhered to European Medicines Agency (2011) guideline (20).
Selectivity was evaluated by analyzing drug-free plasma samples derived from eight individual donors and human plasma spiked with rac-IBP and rac-IBP-d3 (IS). Matrix effect (ME) was determinated using drug-free plasma extracts (obtained from eight individual donors, including hyperlipidemic and hemolyzed plasma) spiked post-extraction with rac-IBP and IS. ME for IBP enantiomers was determined at LQC and HQC, whereas the ME for IS was determined at single concentration of 0.5 mg/L. Data obtained were used to calculate the relative matrix effect (RME) and its variability, expressed as coefficient of variation (CV, %).
Linearity was investigated using a nine-point calibration curve in the concentration range of 0.1−50 mg/L. The calibration curve was fitted to weighted (1/x) linear regression. Accuracy and precision of the method were evaluated by within-run (n = 5) and between-run (n = 30) assay using QC samples, and the results obtained were expressed as percent accuracy and CV (%).
Short-term and light stability tests were performed on three replicates of LQC and HQC samples that were thawed and left at room temperature (18 h in dark cabinet and 2 h exposed to light) and then extracted and analyzed. The post-preparative/autosampler stability was assessed using LQC and HQC samples that were extracted, reconstituted and stored for 96 h at −20°C (no light exposure) and 24 h at 10 °C (in autosampler) until analysis. Freeze and thaw stability was determined after three freeze and thaw cycles each lasting 24 h. The QC samples were extracted and analyzed after the third cycle. All stability results were expressed as mean percent accuracy against nominal (spiked) concentrations together with the CV (%).
Results
SRM chromatogram of: (a) IBP enantiomers and (b) IS (rac-IBP-d3) under the optimized chromatographic conditions.
Comparison between SIL-IS (rac-IBP-d3) and SA-IS (ketoprofen) on the variability of the RME.
SRM chromatograms of: (a) solution containing rac-IBP (0.25 mg/L) and IBP-Glu (40 mg/L) reference standards, (b) solution obtained after LLE of blank human plasma spiked with IBP-Glu standard solution (40 mg/L).
SRM chromatogram of IBP-Glu standard solution: (a) m/z 205.4 > 161.4 (IBP parent ion to IBP product ion), (b) m/z 381.4 > 205.4 (IBP-Glu to IBP parent ion), (c) m/z 381.4 > 161.4 (IBP-Glu to IBP product ion).
Acylglucoronide metabolites show different pH and temperature stability (3). Therefore, it was necessary to investigate the possibility of metabolite back-conversion during the sample preparation process. Plasma samples (obtained from six healthy volunteers) were spiked with IBP-Glu standard solution (40 mg/L). As it can be seen from the SRM chromatogram presented in Figure 4b, peaks at the retention time of IBP enantiomers (4.8 and 5.3 min) were observed. This indicated that certain in vitro metabolite back-conversion occurs. Therefore, the amount of IBP enantiomers generated by back-conversion of IBP-Glu was compared with LLOQ sample. The results have shown that the amount of R-IBP was <6% of LLOQ and <5% of LLOQ for S-IBP (Table I). Additionally, influence of the storage conditions on metabolite back-conversion was investigated. For that purpose, short-term (18 h in dark cabinet followed by 2 h exposition to light and then extracted) and freeze/thaw stability experiments were performed using plasma samples spiked with IBP-Glu. The amount of IBP enantiomers generated from the IBP-Glu obtained during those stability experiments was <8% of the LLOQ sample.
IBP enantiomers obtained from in vitro IBP-Glu back-conversion, expressed as percent from LLOQ sample
| Sample (n = 6) . | Area R-IBP . | R-IBP (%) of LLOQ . | Area S-IBP . | S-IBP (%) of LLOQ . |
|---|---|---|---|---|
| 1 | 161 | 4.7 | 154 | 4.3 |
| 2 | 152 | 4.4 | 143 | 4.0 |
| 3 | 123 | 3.6 | 139 | 3.9 |
| 4 | 89 | 2.6 | 176 | 5.0 |
| 5 | 175 | 5.1 | 152 | 4.3 |
| 6 | 202 | 5.9 | 129 | 3.6 |
| Sample (n = 6) . | Area R-IBP . | R-IBP (%) of LLOQ . | Area S-IBP . | S-IBP (%) of LLOQ . |
|---|---|---|---|---|
| 1 | 161 | 4.7 | 154 | 4.3 |
| 2 | 152 | 4.4 | 143 | 4.0 |
| 3 | 123 | 3.6 | 139 | 3.9 |
| 4 | 89 | 2.6 | 176 | 5.0 |
| 5 | 175 | 5.1 | 152 | 4.3 |
| 6 | 202 | 5.9 | 129 | 3.6 |
IBP enantiomers obtained from in vitro IBP-Glu back-conversion, expressed as percent from LLOQ sample
| Sample (n = 6) . | Area R-IBP . | R-IBP (%) of LLOQ . | Area S-IBP . | S-IBP (%) of LLOQ . |
|---|---|---|---|---|
| 1 | 161 | 4.7 | 154 | 4.3 |
| 2 | 152 | 4.4 | 143 | 4.0 |
| 3 | 123 | 3.6 | 139 | 3.9 |
| 4 | 89 | 2.6 | 176 | 5.0 |
| 5 | 175 | 5.1 | 152 | 4.3 |
| 6 | 202 | 5.9 | 129 | 3.6 |
| Sample (n = 6) . | Area R-IBP . | R-IBP (%) of LLOQ . | Area S-IBP . | S-IBP (%) of LLOQ . |
|---|---|---|---|---|
| 1 | 161 | 4.7 | 154 | 4.3 |
| 2 | 152 | 4.4 | 143 | 4.0 |
| 3 | 123 | 3.6 | 139 | 3.9 |
| 4 | 89 | 2.6 | 176 | 5.0 |
| 5 | 175 | 5.1 | 152 | 4.3 |
| 6 | 202 | 5.9 | 129 | 3.6 |
SRM chromatogram of: (a) IBP enantiomers (m/z 205.4 > 161.4) in blank human plasma (top), LLOQ sample (0.1 mg/L, middle) and real study sample (bottom) (b) internal standard (m/z 207.4 > 164.4) in blank human plasma (top), LLOQ sample (0.1 mg/L, middle) and real study sample (bottom).
Results for the validation parameters (matrix effect, accuracy, precision and stability) of the proposed HPLC-MS/MS method
| ME investigation . | R-IBP . | R-IBP-d3 . | R-IBP . | S-IBP . | S-IBP-d3 . | R-IBP . | |
|---|---|---|---|---|---|---|---|
| ME (%) . | ME (%) . | RME (%) . | ME (%) . | ME (%) . | RME (%) . | ||
| LQC | Mean (n = 8) | 88.5 | 95.5 | 92.7 | 88.4 | 93.4 | 94.6 |
| SD | 5.6 | 5.6 | 2.6 | 4.7 | 4.6 | 2.5 | |
| CV (%) | 6.3 | 5.8 | 2.8 | 5.3 | 4.9 | 2.7 | |
| HQC | Mean (n = 8) | 89.4 | 94.5 | 94.6 | 91.5 | 96.0 | 95.3 |
| SD | 4.3 | 5.6 | 2.8 | 4.5 | 5.9 | 3.3 | |
| CV (%) | 4.8 | 5.9 | 2.9 | 4.9 | 6.1 | 3.4 | |
| ME investigation . | R-IBP . | R-IBP-d3 . | R-IBP . | S-IBP . | S-IBP-d3 . | R-IBP . | |
|---|---|---|---|---|---|---|---|
| ME (%) . | ME (%) . | RME (%) . | ME (%) . | ME (%) . | RME (%) . | ||
| LQC | Mean (n = 8) | 88.5 | 95.5 | 92.7 | 88.4 | 93.4 | 94.6 |
| SD | 5.6 | 5.6 | 2.6 | 4.7 | 4.6 | 2.5 | |
| CV (%) | 6.3 | 5.8 | 2.8 | 5.3 | 4.9 | 2.7 | |
| HQC | Mean (n = 8) | 89.4 | 94.5 | 94.6 | 91.5 | 96.0 | 95.3 |
| SD | 4.3 | 5.6 | 2.8 | 4.5 | 5.9 | 3.3 | |
| CV (%) | 4.8 | 5.9 | 2.9 | 4.9 | 6.1 | 3.4 | |
| Accuracy and precision . | Within-run assay (n = 5) . | Between-run assays (n = 30) . | ||||||
|---|---|---|---|---|---|---|---|---|
| R-IBP . | S-IBP . | R-IBP . | S-IBP . | |||||
| Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | |
| LQC | 102.6 | 5.8 | 103.0 | 5.0 | 104.7 | 7.1 | 105.2 | 7.2 |
| MQC | 106.9 | 5.0 | 106.0 | 3.5 | 104.6 | 5.0 | 104.7 | 5.2 |
| HQC | 101.6 | 2.8 | 101.8 | 4.5 | 100.3 | 5.5 | 99.7 | 4.4 |
| Accuracy and precision . | Within-run assay (n = 5) . | Between-run assays (n = 30) . | ||||||
|---|---|---|---|---|---|---|---|---|
| R-IBP . | S-IBP . | R-IBP . | S-IBP . | |||||
| Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | |
| LQC | 102.6 | 5.8 | 103.0 | 5.0 | 104.7 | 7.1 | 105.2 | 7.2 |
| MQC | 106.9 | 5.0 | 106.0 | 3.5 | 104.6 | 5.0 | 104.7 | 5.2 |
| HQC | 101.6 | 2.8 | 101.8 | 4.5 | 100.3 | 5.5 | 99.7 | 4.4 |
| Stability experiments (n = 3) . | LQC . | HQC . | ||||||
|---|---|---|---|---|---|---|---|---|
| R-IBP . | S-IBP . | R-IBP . | S-IBP . | |||||
| Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | |
| Short-term/light stability | 104.7 | 0.6 | 103.4 | 4.5 | 104.2 | 0.6 | 101.5 | 1.6 |
| Freeze–thaw stability | 105.0 | 4.1 | 105.4 | 2.2 | 104.1 | 1.6 | 103.7 | 1.1 |
| Post-preparative/autosampler stability | 107.2 | 3.4 | 108.7 | 3.8 | 105.7 | 2.2 | 103.3 | 2.8 |
| Stability experiments (n = 3) . | LQC . | HQC . | ||||||
|---|---|---|---|---|---|---|---|---|
| R-IBP . | S-IBP . | R-IBP . | S-IBP . | |||||
| Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | |
| Short-term/light stability | 104.7 | 0.6 | 103.4 | 4.5 | 104.2 | 0.6 | 101.5 | 1.6 |
| Freeze–thaw stability | 105.0 | 4.1 | 105.4 | 2.2 | 104.1 | 1.6 | 103.7 | 1.1 |
| Post-preparative/autosampler stability | 107.2 | 3.4 | 108.7 | 3.8 | 105.7 | 2.2 | 103.3 | 2.8 |
Results for the validation parameters (matrix effect, accuracy, precision and stability) of the proposed HPLC-MS/MS method
| ME investigation . | R-IBP . | R-IBP-d3 . | R-IBP . | S-IBP . | S-IBP-d3 . | R-IBP . | |
|---|---|---|---|---|---|---|---|
| ME (%) . | ME (%) . | RME (%) . | ME (%) . | ME (%) . | RME (%) . | ||
| LQC | Mean (n = 8) | 88.5 | 95.5 | 92.7 | 88.4 | 93.4 | 94.6 |
| SD | 5.6 | 5.6 | 2.6 | 4.7 | 4.6 | 2.5 | |
| CV (%) | 6.3 | 5.8 | 2.8 | 5.3 | 4.9 | 2.7 | |
| HQC | Mean (n = 8) | 89.4 | 94.5 | 94.6 | 91.5 | 96.0 | 95.3 |
| SD | 4.3 | 5.6 | 2.8 | 4.5 | 5.9 | 3.3 | |
| CV (%) | 4.8 | 5.9 | 2.9 | 4.9 | 6.1 | 3.4 | |
| ME investigation . | R-IBP . | R-IBP-d3 . | R-IBP . | S-IBP . | S-IBP-d3 . | R-IBP . | |
|---|---|---|---|---|---|---|---|
| ME (%) . | ME (%) . | RME (%) . | ME (%) . | ME (%) . | RME (%) . | ||
| LQC | Mean (n = 8) | 88.5 | 95.5 | 92.7 | 88.4 | 93.4 | 94.6 |
| SD | 5.6 | 5.6 | 2.6 | 4.7 | 4.6 | 2.5 | |
| CV (%) | 6.3 | 5.8 | 2.8 | 5.3 | 4.9 | 2.7 | |
| HQC | Mean (n = 8) | 89.4 | 94.5 | 94.6 | 91.5 | 96.0 | 95.3 |
| SD | 4.3 | 5.6 | 2.8 | 4.5 | 5.9 | 3.3 | |
| CV (%) | 4.8 | 5.9 | 2.9 | 4.9 | 6.1 | 3.4 | |
| Accuracy and precision . | Within-run assay (n = 5) . | Between-run assays (n = 30) . | ||||||
|---|---|---|---|---|---|---|---|---|
| R-IBP . | S-IBP . | R-IBP . | S-IBP . | |||||
| Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | |
| LQC | 102.6 | 5.8 | 103.0 | 5.0 | 104.7 | 7.1 | 105.2 | 7.2 |
| MQC | 106.9 | 5.0 | 106.0 | 3.5 | 104.6 | 5.0 | 104.7 | 5.2 |
| HQC | 101.6 | 2.8 | 101.8 | 4.5 | 100.3 | 5.5 | 99.7 | 4.4 |
| Accuracy and precision . | Within-run assay (n = 5) . | Between-run assays (n = 30) . | ||||||
|---|---|---|---|---|---|---|---|---|
| R-IBP . | S-IBP . | R-IBP . | S-IBP . | |||||
| Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | Accuracy (%) . | Precision (CV%) . | |
| LQC | 102.6 | 5.8 | 103.0 | 5.0 | 104.7 | 7.1 | 105.2 | 7.2 |
| MQC | 106.9 | 5.0 | 106.0 | 3.5 | 104.6 | 5.0 | 104.7 | 5.2 |
| HQC | 101.6 | 2.8 | 101.8 | 4.5 | 100.3 | 5.5 | 99.7 | 4.4 |
| Stability experiments (n = 3) . | LQC . | HQC . | ||||||
|---|---|---|---|---|---|---|---|---|
| R-IBP . | S-IBP . | R-IBP . | S-IBP . | |||||
| Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | |
| Short-term/light stability | 104.7 | 0.6 | 103.4 | 4.5 | 104.2 | 0.6 | 101.5 | 1.6 |
| Freeze–thaw stability | 105.0 | 4.1 | 105.4 | 2.2 | 104.1 | 1.6 | 103.7 | 1.1 |
| Post-preparative/autosampler stability | 107.2 | 3.4 | 108.7 | 3.8 | 105.7 | 2.2 | 103.3 | 2.8 |
| Stability experiments (n = 3) . | LQC . | HQC . | ||||||
|---|---|---|---|---|---|---|---|---|
| R-IBP . | S-IBP . | R-IBP . | S-IBP . | |||||
| Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | Accuracy (%) . | CV (%) . | |
| Short-term/light stability | 104.7 | 0.6 | 103.4 | 4.5 | 104.2 | 0.6 | 101.5 | 1.6 |
| Freeze–thaw stability | 105.0 | 4.1 | 105.4 | 2.2 | 104.1 | 1.6 | 103.7 | 1.1 |
| Post-preparative/autosampler stability | 107.2 | 3.4 | 108.7 | 3.8 | 105.7 | 2.2 | 103.3 | 2.8 |
Discussion
Our previously published direct method for determination of IBP enantiomers in human plasma was initially developed using long cellulose-based chiral column (250 × 4.6 mm, 5 μm particle size) (16). Although the optimized chromatographic conditions allowed good resolution between the enantiomers, the chromatographic separation required 13 min. The use of shorter column with smaller internal diameter allowed significant decrease of the chromatographic runtime. In addition, the replacement of ketoprofen with rac-IBP-d3 as an internal standard enabled the whole analysis runtime to be completed within 6 min, thereby improvement on throughput of at least of 50% was achieved (12, 14–18).
The variation of the RME obtained using SIL-IS was <4% for LQC and HQC samples. In comparison, the CV of RME using ketoprofen as an IS was <5% for LQC and <8% for HQC samples. These results confirmed the expectation that the use of SIL-IS compared to a SA-IS enabled reduction of magnitude and variability of the matrix effect, thereby improving ruggedness of the method. Considering that the RME obtained using SA-IS was within the acceptable limit of ±15% (20), ketoprofen could be also used as an IS in case of unavailability of SIL-IS. However, the chromatographic separation in that case would require ~10 min.
Metabolite interference can be perceived during the incurred sample reanalysis (21). However, using this approach the potential back-conversion during sample processing cannot be ruled out (20). Therefore, the possibility of in source and in vitro back-conversion of IBP-Glu was assessed in the course of method development. The conducted experiments towards determination of in source metabolite back-conversion revealed that the peak area of R-IBP and S-IBP generated from the IBP-Glu was up to or <1% of LLOQ. Considering that the in source IBP-Glu back-conversion was insignificant and a chromatographic separation between the analyte and the metabolite was achieved, there was no need for further optimization/modification of the ESI parameters and/or the chromatographic conditions.
The literature data for determination of IBP-Glu in plasma/urine indicated that this metabolite is stable in acidic environment (2, 22–24). In order to prevent hydrolysis of the acylglucoronide metabolite, acidic buffer (0.15 M HCl) was used during the LLE of IBP enantiomers from human plasma. However, considering that hydrolysis of IBP-Glu could occur during the different steps of the sample preparation process, it was necessary to investigate whether the proposed LLE procedure leads to metabolite back-conversion in addition to the insignificant in source back-conversion. The findings indicated that during the sample preparation process, metabolite back-conversion occurs; therefore, assessment of the amount of IBP-Glu back-conversion was needed. The obtained results confirmed that the amount of back-conversion during the sample preparation process was far <20% of the LLOQ sample. In addition, it should be emphasized that the concentration of IBP-Gluc (40 mg/L) used for the in vitro back-conversion experiments was significantly higher than the metabolite concentration (0.55 mg/L) found in human plasma after treatment with IBP 800 mg capsule (22). Despite the high metabolite concentration spiked, the amount of back-conversion was insignificant. Based on the findings above, we confirm that the presence of IBP-Glu in real samples will not affect the quantification of IBP enantiomers.
Conclusions
In this research, for the first time the influence of IBP-Glu back-conversion on the HPLC-MS/MS determination of IBP enantiomers in human plasma was investigated. The optimized HPLC-MS/MS conditions allow separation between IBP enantiomers and IBP-Glu; therefore, metabolite chromatographic interference was prevented. The obtained results from the in source and in vitro metabolite back-conversion experiments imply that the presence of IBP-Glu in real samples will not affect the quantification of the IBP enantiomers, thereby the improved reliability of the method was confirmed. Further improvement of the reliability of the method was achieved using SIL-IS instead of SA-IS. Another advantage of the method is short analysis runtime (6 min), which is especially important for bioequivalent studies where a large number of samples are present. Considering the advantages of the proposed method, one can conclude that this method could be successfully applied for the fast determination of R-IBP and S-IBP levels in human plasma and to provide reliable data from pharmacokinetic and bioequivalent studies of this drug.





