Bruno Streel

Sensitive determination of buprenorphine and its N-dealkylated metabolite norbuprenorphine in human plasma by liquid chromatography coupled to tandem mass spectrometry

A highly sensitive method based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) has been developed for the quantitative determination of buprenorphine and its active metabolite norbuprenorphine in human plasma. Automated solid phase extraction (SPE) on disposable extraction cartridges (DEC) is used to isolate the compounds from the biological matrix and to prepare a cleaner sample before injection and analysis in the LC-MS/MS system. After conditioning, the plasma sample (1.0 ml) is loaded on the DEC filled with octyl silica (C8) and washed with water. The analytes are, therefore, eluted by dispensing methanol containing 0.1% of acetic acid. The eluate is collected and evaporated to dryness. The residue is dissolved in mobile phase and an aliquot is injected in the LC-MS/MS system. On-line LC-MS/MS system using atmospheric pressure chemical ionization (APCI) has been developed for the determination of buprenorphine and norbuprenorphine. The separation is obtained on a RP-18 stationary phase using a mobile phase consisting in a mixture of methanol and 50 mM ammonium acetate solution (50:50, v/v). Clonazepam is used as internal standard (IS). The MS/MS ion transitions monitored are m/z 468-->468, 414-->414 and 316-->270 for buprenorphine, norbuprenorphine and clonazepam, respectively. The method was validated regarding recovery, linearity, precision and accuracy. The limits of quantification (LOQs) were around 10 pg/ml for buprenorphine and 50 pg/ml for norbuprenorphine.

Moisture content determination of pharmaceutical pellets by near infrared spectroscopy: Method development and validation

The aim of the present study was to develop and validate a near infrared method able to accurately determine a moisture content of pharmaceutical pellets ranging from 1% to 8% in order to check their moisture content conformity. A calibration and validation set were designed for the conception and evaluation of the method adequacy. An experimental protocol was then followed, involving two operators, independent production campaign batches and different temperatures for data acquisition. On the basis of this protocol, prediction models based on partial least squares (PLS) regression were then carried out. Conventional criteria such as the R(2), the root mean square errors of calibration and prediction (RMSEC and RMSEP) as well as the number of PLS factors enabled the selection of three preliminary models. However, such criteria did not clearly demonstrate the models ability to give accurate predictions over the whole analyzed water content range. Consequently, a novel approach based on accuracy profiles which allow the selection of the most fitted model for purpose was used. According to this novel approach, the model using multiplicative scatter correction (MSC) pre-treatment was obviously the most suitable. Indeed, the resulting accuracy profile clearly showed that this model was able to determine moisture content over the range of 1-8% with a very acceptable accuracy. The present study confirmed that NIR spectroscopy could be used in the PAT concept as a non-invasive, non-destructive and fast technique for moisture content determination in pharmaceutical pellets. In addition, facing the limit of the classical and commonly used criteria, the use of accuracy profiles proved to be useful as a powerful decision tool to demonstrate the suitability of the proposed analytical method.

Development and validation of a liquid chromatographic method for the determination of amlodipine residues on manufacturing equipment surfaces

In the pharmaceutical industry, an important step consists in the removal of possible drug residues from the involved equipment and areas. The cleaning procedures must be validated and the methods to determine trace amounts of drugs have therefore to be considered with special attention. A high performance liquid chromatographic method for the determination of amlodipine residues in swab samples was developed and validated in order to control a cleaning procedure. The swabbing procedure was optimized in order to obtain a suitable recovery of amlodipine from stainless steel. A mean recovery close to 90% was obtained when two swabs moistened with methanol were used. The residual amlodipine was chromatographed at 25 degrees C in the isocratic mode on a RP-18 stationary phase using a mobile phase consisting of acetonitrile, methanol and pH 3.0 triethylamine solution (15:35:50 v/v/v). UV detection was performed at 237 nm. The method was shown to be selective and linear into the concentration range varying from 0.39 to 1.56 microg/ml. Accuracy and precision of the method were also studied. The limits of detection and quantitation were evaluated to be 0.02 and 0.08 microg/ml, respectively. The stability of amlodipine at different steps of the sampling procedure and the precision of the swabbing procedure were also investigated.

Active content determination of non-coated pharmaceutical pellets by near infrared spectroscopy: method development, validation and reliability evaluation.

A robust near infrared (NIR) method able to quantify the active content of pilot non-coated pharmaceutical pellets was developed. A protocol of calibration was followed, involving 2 operators, independent pilot batches of non-coated pharmaceutical pellets and two different NIR acquisition temperatures. Prediction models based on Partial Least Squares (PLS) regression were then carried out. Afterwards, the NIR method was fully validated for an active content ranging from 80 to 120% of the usual active content using new independent pilot batches to evaluate the adequacy of the method to its final purpose. Conventional criteria such as the R(2), the Root Mean Square Error of Calibration (RMSEC), the Root Mean Square Error of Prediction (RMSEP) and the number of PLS factors enabled the selection of models with good predictive potential. However, such criteria sometimes fail to choose the most fitted for purpose model. Therefore, a novel approach based on accuracy profiles of the validation results was used, providing a visual representation of the actual and future performances of the models. Following this approach, the prediction model using signal pre-treatment Multiplicative Scatter Correction (MSC) was chosen as it showed the best ability to quantify accurately the active content over the 80-120% active content range. The reliability of the NIR method was tested with new pilot batches of non-coated pharmaceutical pellets containing 90 and 110% of the usual active content, with blends of validation batches and industrial batches. All those batches were also analyzed by the HPLC reference method and relative errors were calculated: the results showed low relative errors in full accordance with the results obtained during the validation of the method, indicating the reliability of the NIR method and its interchangeability with the HPLC reference method.

Critical analysis of several analytical method validation strategies in the framework of the fit for purpose concept.

Analytical method validation is a mandatory step at the end of the development in all analytical laboratories. It is a highly regulated step of the life cycle of a quantitative analytical method. However, even if some documents have been published there is a lack of clear guidance for the methodology to follow to adequately decide when a method can be considered as valid. This situation has led to the availability of several methodological approaches and it is therefore the responsibility of the analyst to choose the best one. The classical decision processes encountered during method validation evaluation are compared, namely the descriptive, difference and equivalence approaches. Furthermore a validation approach using accuracy profile computed by means of beta-expectation tolerance interval and total measurement error is also available. In the present paper all of these different validation approaches were applied to the validation of two analytical methods. The evaluation of the producer and consumer risks by Monte Carlo simulations were also made in order to compare the appropriateness of these various approaches. The classical methodologies give rise to inadequate and contradictory conclusions which do not allow them to answer adequately the objective of method validation, i.e. to give enough guarantees that each of the future results that will be generated by the method during routine use will be close enough to the true value. It is found that the validation methodology which gives the most guarantees with regards to the reliability or adequacy of the decision to consider a method as valid is the one based on the use of the accuracy profile.

Determination of fenofibric acid in human plasma using automated solid-phase extraction coupled to liquid chromatography

The pharmacokinetic studies of fenofibrate require a rapid, selective and robust method to allow the determination of fenofibric acid, its active metabolite, in different biological matrixes (such as plasma, serum or urine). A new fully automated method for the determination of fenofibric acid in plasma has been developed, which involves the solid-phase extraction (SPE) of the analyte from plasma on disposable extraction cartridges (DECs) and reversed-phase HPLC with UV detection. The SPE operations were performed automatically by means of a sample processor equipped with a robotic arm (ASPEC system). The DEC filled with octadecyl silica was first conditioned with methanol and pH 7.4 phosphate buffer. A 0.8-ml volume of diluted plasma sample containing the internal standard (sulindac) was then applied on the DEC. The washing step was performed with the same buffer (pH 7.4). Finally, the analytes were successively eluted with methanol (1.0 ml) and 0.04 M phosphoric acid (1.0 ml). After a mixing step, 100 microl of the resultant extract was directly introduced into the HPLC system. The liquid chromatographic (LC) separation of the analytes was achieved on a Nucleosil RP-8 stationary phase (5 microm). The mobile phase consisted of a mixture of methanol and 0.04 M phosphoric acid (60:40, v/v). The analyte was monitored photometrically at 288 nm. The method developed was validated. In these conditions, the absolute recovery of fenofibric acid was close to 100% and a linear calibration curve was obtained in the concentration range from 0.25 to 20 microg/ml. The mean RSD values for repeatability and intermediate precision were 1.7 and 3.9% for fenofibric acid. The method developed was successfully used to investigate the bioequivalence between a micronized fenofibrate capsule formulation and a fenofibrate Lidose formulation.

Building the quality into pellet manufacturing environment – Feasibility study and validation of an in-line quantitative near infrared (NIR) method

The present study focuses on the implementation of an in-line quantitative near infrared (NIR) spectroscopic method for determining the active content of pharmaceutical pellets. The first aim was to non-invasively interface a dispersive NIR spectrometer with four realistic particle streams existing in the pellets manufacturing environment. Regardless of the particle stream characteristics investigated, NIR together with Principal Component Analysis (PCA) was able to classify the samples according to their active content. Further, one of these particle stream interfaces was non-invasively investigated with a FT-NIR spectrometer. A predictive model based on Partial Least Squares (PLS) regression was able to determine the active content of pharmaceutical pellets. The NIR method was finally validated with an external validation set for an API concentration range from 80 to 120% of the targeted active content. The prediction error of 0.9% (root mean standard error of prediction, RMSEP) was low, indicating the accuracy of the NIR method. The accuracy profile on the validation results, an innovative approach based on tolerance intervals, demonstrated the actual and future performance of the in-line NIR method. Accordingly, the present approach paves the way for real-time release-based quality system.

Deposition and pharmacokinetics of budesonide from the Miat Monodose inhaler, a simple dry powder device

Dry powder inhalers (DPIs) are used to deliver asthma drugs to patients, but lung deposition may depend upon the degree of inspiratory effort. The pulmonary deposition of the glucocorticosteroid budesonide (SMB-Galephar) has been assessed in 12 asthmatic patients when delivered by the Monodose inhaler (Miat, Milan, Italy); the Pulmicort Turbuhaler DPI (AstraZeneca, Lund, Sweden) was used as a comparator product. Patients inhaled from each device with maximal or sub-maximal inspiratory effort: Monodose inhaler 90 vs 45 l/min; Turbuhaler DPI 60 vs 30 l/min. The formulations were radiolabelled with (99m)Tc, and deposition of budesonide was quantified by gamma scintigraphy. Mean (SD) whole lung deposition for the Monodose inhaler (% capsule dose), was independent of inspiratory effort (maximal: 21.4 (4.3)%; sub-maximal: 21.4 (7.5)%), while lung deposition for the Turbuhaler DPI (% metered dose) fell significantly with decreasing inspiratory effort (maximal: 25.1 (6.1)%; sub-maximal: 18.5 (6.5)%; P<0.05). The plasma concentrations of budesonide showed the same trends as the whole lung deposition data. The Monodose inhaler showed inspiratory effort-independent drug delivery characteristics, and could prove be a valuable low-cost alternative to more complex devices such as the Turbuhaler DPI. The Monodose inhaler may be especially useful in groups of patients unable to inhale maximally through DPIs, including young children and adult patients with severe respiratory impairment.

An automated method for the simultaneous determination of pravastatin, 3-hydroxy isomeric metabolite, pravalactone and fenofibric acid in human plasma by sensitive liquid chromatography combined with diode array and tandem mass spectrometry detection

In this study, a sensitive and selective method based on liquid chromatography combined with diode array and tandem mass spectrometry detection (LC-DAD-MS/MS) was developed for the simultaneous quantitative determination of fenofibric acid, pravastatin and its main metabolites in human plasma. In this method, an automated solid-phase extraction (SPE) on disposable extraction cartridges (DECs) is used to isolate the compounds from the biological matrix and to prepare a cleaner sample before injection and analysis in the LC-DAD-MS/MS system. On-line LC-DAD-MS/MS system using an atmospheric pressure ionization (TurboIonSpray) was then developed for the simultaneous determination of pravastatin, 3-hydroxy isomeric metabolite (3-OH metab), pravalactone and fenofibric acid. The separation is obtained on an endcapped dodecyl silica based stationary phase using a mobile phase consisting of a mixture of acetonitrile, methanol and 5mM ammonium acetate solution (30:30:40, v/v/v). Sulindac and triamcinolone were used as internal standards (ISs). The detection of the fenofibric acid and sulindac was achieved by means of a DAD system. The MS/MS ion transitions monitored were m/z 442.2-->269.1, 442.2-->269.1, 424.3-->183.0 and 435.2-->397.2 for pravastatin, 3-OH metab, pravalactone and triamcinolone, respectively. The method was validated regarding stability, selectivity, extraction efficiency, response function, trueness, precision lower limit of quantitation and matrix effect. The limits of quantitation (LOQs) were around 0.50 ng/ml for pravastatin, 0.25 ng/ml for 3-OH metab, 0.05 ng/ml for pravalactone and 0.25 microg/ml for fenofibric acid.

Optimization of a PGSS (particles from gas saturated solutions) process for a fenofibrate lipid-based solid dispersion formulation

The aim of this study was to develop a formulation containing fenofibrate and Gelucire(®) 50/13 (Gattefossé, France) in order to improve the oral bioavailability of the drug. Particles from gas saturated solutions (PGSS) process was chosen for investigation as a manufacturing process for producing a solid dispersion. The PGSS process was optimized according to the in vitro drug dissolution profile obtained using a biphasic dissolution test. Using a design of experiments approach, the effects of nine experimental parameters were investigated using a PGSS apparatus provided by Separex(®) (Champigneulles, France). Within the chosen experimental conditions, the screening results showed that the drug loading level, the autoclave temperature and pressure, the connection temperature and the nozzle diameter had a significant influence on the dissolution profile of fenofibrate. During the optimization step, the three most relevant parameters were optimized using a central composite design, while other factors remained fixed. In this way, we were able to identify the optimal production conditions that would deliver the highest level of fenofibrate in the organic phase at the end of the dissolution test. The closeness between the measured and the predicted optimal dissolution profiles in the organic phase demonstrated the validity of the statistical analyses.