An efficient microfluidic device based on electromembrane extraction for the simultaneous extraction of acidic and basic drugs.

The simultaneous extraction of acidic and basic compounds is considered a great challenge. In this work, an efficient and fast microfluidic device is described for the simultaneous determination of acidic and basic drugs by two electromembrane extraction, offering extraction efficiencies over 98% for all analytes in human urine samples and solving the difficulties encountered to date. The sample is submitted into the device and the collected acceptor phase is directly analyzed by diode array detector and high-pressure liquid chromatography (HPLC). The device consisted of three poly(methylmethacrylate) layers and four electrodes to perform EME in two steps in a single device. Two acidic analytes (ketoprofen and naproxen) and two basic analytes (amitriptyline and loperamide) were selected as model analytes. The device proposed works under stable electric field conditions, low current intensities that confers great stability to the supported liquid membrane. After a comprehensive study of the SLM, 1:1 2-nitrophenyl octhyl ether:dodecanol was selected as optimal. This device has also been successfully applied in 1:2 diluted bovine plasma samples with recoveries over 84% and a relative standard deviation below 6%. This microfluidic device needs small sample volumes (lower than 50 µL) and offers short extraction times (10 min) and excellent clean-up. Furthermore, it has proven to be a robust and reproducible device after more than 30 consecutive extractions, and thanks to the low potential required (5 V), it allows its compatibility with a single battery.

Robust freeze-drying process re-design of a legacy product based on risk analysis and design of experiments.

In this study, a QbD freeze-drying process re-design applied to a lyophilized injectable drug product is presented. The main objective was to assess the freeze-drying process robustness using risk analysis and a proper experimental design. First, the product's thermal fingerprint was characterized by thermal analysis and freeze-drying microscopy. Then, according to the output of the risk analysis, primary drying temperature and pressure were studied by a Doehlert DoE design with four responses; primary drying time, appearance, residual moisture content, and reconstitution time. Statistically significant MLR models were obtained for residual moisture content and primary drying time. In the latter, the temperature factor was the predominant factor to predict the duration of the primary drying stage. Two additional lab-scale batches were run to confirm the mathematical model predictions. Finally, optimal primary drying conditions (30 °C, 0.400 mbar) were selected to minimize the duration of the primary drying stage, while preserving the quality of the product. It was possible to set high temperature and pressure values because no collapse temperature was found during the thermal characterization of the product. Secondary drying temperature and time were defined based on the residual moisture content results. It was shown that secondary drying is robust between 30 °C and 50 °C and from 3 to 16 h. In conclusion, we were able to define a robust freeze-drying process which was further validated at an industrial scale with satisfactory results and approved by the health authorities in different countries around Europe.

Impedance model for voltage optimization of parabens extraction in an electromembrane millifluidic device.

In sample pre-treatment, millifluidic electromembrane platforms have been developed to extract and pre-concentrate target molecules with good clean-up that minimize matrix effects. Optimal operation conditions are normally determined experimentally, repeating the extractions at different conditions and determining the efficiencies by an analytical technique. To shorten and simplify the optimization protocol, millifluidic platforms have been electrically characterized by impedance spectroscopy. The magnitude of the resistance of the electromembrane has been found very predictive of the migration capacity and extraction efficiency of three different parabens on real time. The optimal conditions (4 V of applied potential) (Electromembrane extraction low voltage) have been successfully applied in the extraction of parabens from urine samples, that not only improves the extraction efficiency (100% for all compounds) but also provides a very low current intensity (7 µA), which is very important in electromembrane to minimize electrolysis phenomena. The possibility to optimize one of the most critical and important parameters such as the voltage with a simple electrical model may accelerate the production of application-specific millifluidic electromembrane platforms in a short development time. The results showed that millifluidic electromembrane extraction based low voltage has a future potential as a simple, selective, and time-efficient sample preparation technique allowing a simple battery as power supply.

Finding a reliable limit of detection in the NIR determination of residual moisture in a freeze-dried drug product.

The validation of an analytical method in the pharmaceutical industry follows strictly regulated guidelines. The introduction of multivariable calibration methods requires a revision of these recommendations, since some of them are contradictory regarding the limit of detection (LOD). This work compares the LOD values obtained using pseudounivariate and multivariate procedures in the PLS-NIR determination of residual moisture content (RMC) in a freeze-dried drug. As NIR has proved to be more precise than Karl-Fischer at low RMC values, LOD has been estimated by ordinary and by orthogonal least squares regression. The precision of the RMC determination in approx. 2000 industrial vials was used as an indirect evidence of the reliability of the LOD values obtained. The effect of reducing the number of calibration samples and increasing the RMC values have also been studied. No significant differences were observed using a number of calibration samples ≥ 20. Based on our findings, when the size of the calibration sample set is high and the range of RMC values is close to the limit, the LOD estimated with the ICH formula and using orthogonal regression should be recommended. If water content moves away, the ICH formula should be replaced by the LODOS equation as a practical, reliable and simple procedure.

Enzymatic synthesis of a thiolated chitosan-based wound dressing crosslinked with chicoric acid.

This work describes the enzymatic synthesis of multifunctional hydrogels for chronic wound treatment using thiolated chitosan and the natural polyphenol chicoric acid. Gelation was achieved by laccase-catalyzed oxidation of chicoric acid, a natural compound used for the first time as a homobifunctional crosslinker, reacting subsequently with nucleophilic thiol and amino groups from the chitosan derivative. This approach allowed for twice as fast gelation at a three-fold reduced crosslinking reagent concentration, compared to reported enzymatic synthesis of hydrogels using gallic acid as a phenolic provider. Hydrogels with 600% swelling capacity, coupled with only 20% weight loss after 6 days under physiological conditions, were obtained. The clinically relevant Gram-positive Staphylococcus aureus and the Gram-negative Pseudomonas aeruginosa were reduced by up to 4.5 and 5.5 logs, respectively. A tunable, in the range of 20-95%, ex vivo inhibition of myeloperoxidase (MPO) activity in chronic wound exudate was achieved, together with control over the total matrix metalloproteinase (MMP) activities.

Recent advances in sample pre-treatment for emerging methods in proteomic analysis.

The objective of proteomics is the study of proteins (including their structure elucidation, the characterization of their role in biochemical process, the detection and identification of anomalous modifications in their structures and behavior, etc.) from both a qualitative and quantitative point of view. These studies have to face several difficulties as (a) the intrinsic complexity of protein molecules, (b) the low concentrations of the studied proteins, (c) the complexity of the biological samples (which could lead to interferences from the components of these matrixes), etc. Thus, the sample preparation procedure has a critical importance in order to obtain good separations and sensitivity in the results. In this paper, recent sample treatment methodologies for proteomic studies are reviewed and discussed. These methods include recent innovations in nanoparticle enrichment pre-treatment (for both the selective pre-concentration of the studied protein and the microwave-assisted digestion of the sample), treatments for tissue imaging (based on surface analysis of the studied biological tissues) and protein microarrays analysis (which allows the simultaneous determination of a high number of different proteins or associated species on a glass slide support).

A simple and fast Double-Flow microfluidic device based liquid-phase microextraction (DF-µLPME) for the determination of parabens in water samples.

A fast double-flow microfluidic based liquid phase microextraction (DF-µLPME) combined with a HPLC-UV procedure using diode array detection has been developed for the determination of the four most widely used parabens: Ethyl 4-hydroxybenzoate (EtP), Propyl 4-hydroxybenzoate (PrP), Butyl 4-hydroxybenzoate (BuP) and IsoButyl 4-hydroxybenzoate (iBuP) in water samples. Parabens have successfully been determined in environmental (lake and river water) samples with excellent clean up, high extraction efficiency and good enrichment factor using double-flow conditions. The microfluidic device consists of two micro-channels, which contain the acceptor and sample solution separated by a flat membrane (support liquid membrane). The sample (0.32mM HCl) and acceptor phase (5.6mM NaOH) are delivered to the µLPME at 10µLmin-1 and 1µLmin-1 flow rate, respectively. The extraction efficiencies are over 84% for all compounds in water samples with enrichment factors within the range of 9-11 and recoveries over 80%. The procedure provides very low detection limits between 1.6 and 3.5µgL-1. The extraction time and the volume required for the extraction are 5min and 50µL, respectively; which are greatly lower compared to any previous extraction procedure for parabens analysis. In addition, this miniaturized DF- µLPME procedure significantly reduces costs compared to not only the existing methods for paraben detection, but also to the existing analytical techniques for sample preparation.

An effective microfluidic based liquid-phase microextraction device (µLPME) for extraction of non-steroidal anti-inflammatory drugs from biological and environmental samples.

In this work, the traditional liquid phase microextraction (LPME) has been miniaturized into a microfluidic device (µLPME) where liquid phase microextraction is combined with an HPLC procedure. This integration enables extraction and determination of acid drugs by µLPME and HPLC, respectively. The analytes selected for the test are five widely used non-steroidal anti-inflammatory drugs (NSAIDs): salicylic acid (SAC), ketoprofen (KTP), naproxen (NAX), diclofenac (DIC) and ibuprofen (IBU). They have successfully been detected in biological (urine and saliva) and environmental (lake and river water) samples with excellent clean up, high extraction efficiency and good enrichment factor under stopped-flow conditions. The µLPME consists of two small channels (acceptor and donor channel) separated by a support liquid membrane and has been implemented to allow a simple membrane replacement an arbitrary number of times. The sample (pH 12) and acceptor phase (pH 1.5) are delivered to the µLPME at 1 µL min-1 flow rate and the extraction is completed after 6 min. Under these conditions, the recoveries obtained in urine samples are over 87% for all compounds. For environmental water analysis, different types of water samples have been analyzed obtaining recoveries over 75% for all compounds. The sample consumption is dramatically decreased (<7 µL) as compared to traditional LPME. This confirms the advantages of the here proposed µLPME when using small volume/high cost samples. Finally, when the acceptor flow is turned off during the extraction time, high enrichment factor significantly increases with the extraction time for all compounds. As an example, the IBU is enriched by a factor of 75 after 25 min extraction consuming only 500 µL of sample.

Raman spectroscopy for the analytical quality control of low-dose break-scored tablets.

Quality control of solid dosage forms involves the analysis of end products according to well-defined criteria, including the assessment of the uniformity of dosage units (UDU). However, in the case of break-scored tablets, given that tablet splitting is widespread as a means to adjust doses, the uniform distribution of the active pharmaceutical ingredient (API) in all the possible fractions of the tablet must be assessed. A general procedure to accomplish with both issues, using Raman spectroscopy, is presented. It is based on the acquisition of a collection of spectra in different regions of the tablet, that later can be selected to determine the amount of API in the potential fractions that can result after splitting. The procedure has been applied to two commercial products, Sintrom 1 and Sintrom 4, with API (acenocoumarol) mass proportion of 2% and 0.7% respectively. Partial Least Squares (PLS) calibration models were constructed for the quantification of acenocoumarol in whole tablets using HPLC as a reference analytical method. Once validated, the calibration models were used to determine the API content in the different potential fragments of the scored Sintrom 4 tablets. Fragment mass measurements were also performed to estimate the range of masses of the halves and quarters that could result after tablet splitting. The results show that Raman spectroscopy can be an alternative analytical procedure to assess the uniformity of content, both in whole tablets as in its potential fragments, and that Sintrom 4 tablets can be perfectly split in halves, but some cautions have to be taken when considering the fragmentation in quarters. A practical alternative to the use of UDU test for the assessment of tablet fragments is proposed.

Fast assessment of the surface distribution of API and excipients in tablets using NIR-hyperspectral imaging.

The inclusion of hyperspectral imaging systems in the manufacturing and development of pharmaceutical products is allowing a successful improvement in the quality control of solid dosage forms. The correct distribution not only of active pharmaceutical ingredient (API) but also of the rest of excipients is essential to assure the correct behavior of the tablet when ingested. This is especially relevant in tablets with low content of potent APIs, in which the prescribed intake dosage frequently corresponds to half-a-tablet. Therefore, the aim of this work is to study the surface distribution of the compounds in tablets with low API content. The proposed procedure includes the scanning of the tablet surface using near infrared hyperspectral spectroscopy in association with multivariate curve resolution (MCR) techniques to obtain selective pictures for each individual compound and to allow the fast assessment of their distribution in the measured surface. As an example, a set of commercial Lorazepam tablets (approximately 1% mass fraction of API, and four excipients) were analyzed. The results obtained show the capacity of the proposed methodology as an expedite approach to evaluate the uniformity of the contents between and within tablets. A method to estimate the homogeneity distribution of API in the two halves of the tablet is also proposed.

Aza-Michael reaction with enone-modified vegetable oils: evidence of the keto-enolic equilibrium by NIR chemical imaging and evolving factor analysis.

The existence of an enone-dienol tautomerism in enone-containing triglyceride, obtained from high oleic sunflower oil, was detected in an image set captured at 95 °C by fixed-size image window-evolving factor analysis. A (1)H NMR spectrum and a UV-Visible spectrum of the enone-containing triglyceride at 25 °C and at 95 °C were measured to corroborate the presence of the enol form. The presence of this equilibrium explains the different behaviour of the curing reaction between an enone-containing triglyceride and diaminodiphenylmethane, which was evaluated following the spectral evolution of two pixels that differ in the presence or absence of the enol form. As the enol form acts as a inert species in the reaction, it leads to different degree of advance depending on which growing zone is observed.

Implementation of enhanced correlation maps in near infrared chemical images: application in pharmaceutical research.

Recent developments in Hyperspectral Imaging equipment have made possible the use of this analytical technique for fast scanning of sample surfaces. This technique has turned out to be especially useful in Pharmacy, where information about the distribution of the components in the surface of a tablet can be obtained. One particular application of Hyperspectral Chemical Imaging is the search for singularities inside pharmaceutical tablets, e.g. coating defects. Nevertheless, one problem has to be faced: how to analyze a sample without any previous knowledge about it, or having only the minimum information about the tablet. In this work a new methodology, based on correlation coefficients, is introduced to obtain valuable information about one Hyperspectral Image (detection of defects, punctual contaminants, etc.) without any previous knowledge. The methodology combines Principal Component Analysis (PCA), correlation coefficient between one specific pixel included in the image and the rest of the image; and a new enhanced contrast function to obtain more selective chemical and spatial information about the image. To illustrate the applicability of the proposed methodology, real tablets of ibuprofen have been studied. The proposed methodology is presented as a control technique to detect batch variability, defects in final tablets and punctual contaminants, being a potential supplementary tool for quality controls. In addition, the usefulness of the proposed methodology is not exclusive to NIR-CI devices, but to any hyperspectral and multivariate image system.

Application of representative layer theory to near-infrared reflectance spectra of powdered samples.

The diffuse reflectance near-infrared (NIR) spectrum of a powdered sample includes the contribution of specular and diffuse reflectance, which is a function of absorbance and scattering. The fraction of light scattered depends in a complex manner on the physical properties of the sample such as particle size, refraction index, etc. Several theories to study the dependence of NIR spectra on the particle size have been proposed. The best known is the Kubelka-Munk model, an approach based on continuous mathematics. Recently Dahm and Dahm put forward an alternative method, the representative layer theory (RLT), which uses discontinuous mathematics as a basis. This approach can be used to identify and disentangle the scattering and absorbance signals as well as their dependence on the particle size. The scattering and absorption coefficient of NaCl (a nonabsorbing material) and of potassium hydrogen phthalate, KHP (a strong absorber), have been estimated through the application of the representative layer theory, working on a particle size range from 63 to 450 microm. In both samples, the absorption coefficient of the sample (K) remains constant and practically independent of the particle size, while the scattering coefficient of the sample (S) decreases when the particle diameter increases, becoming stable around a diameter of 250 microm.

Parallel factor analysis combined with PLS regression applied to the on-line monitoring of Pichia pastoris cultures.

Various key variables (biomass, substrate and product) of bioprocesses should be monitored in order to retrieve useful information on the system, with the biomass (the cell density) the principal target. Although several analytical methods have been adapted and used to monitor the evolution of cell density evolution in cultures, a general method for performing this determination has not yet been established, as each technique has its own advantages and drawbacks. In the present work, noninduced glycerol batch cultures (for which biomass and substrate are the key variables) were monitored using multiwavelength fluorescence spectroscopy. The data gathered were modelled via PARAFAC-PLS chemometric methodologies, resulting in important qualitative and quantitative information about the behaviours of different biogenic fluorophors in batch cultures of the yeast Pichia pastoris. This information was used to predict the target process variables in such cultures; this permitted the applicability of this combined technique to bioprocess monitoring to be assessed.

Three-way partial least-squares regression for the simultaneous kinetic-enzymatic determination of xanthine and hypoxanthine in human urine.

The performance of three-way principal component analysis and three-way partial least-squares regression when applied to a complex kinetic-enzymatic system is studied, in order to investigate the analytical potential of the combined use of these chemometric technologies for non-selective enzymatic systems. A enzymatic-kinetic procedure for the simultaneous determination of hypoxanthine and xanthine in spiked samples of human urine is proposed. The chemical system involves two consecutive reactions catalyzed by xanthine oxidase (EC 1.17.3.2). This enzyme catalyzes the oxidation of hypoxanthine, first to xanthine and then to uric acid, a competitive inhibitor of the reactions. The influence of uric acid during quantitative determination was considered in the design of the calibration set. The sample and enzyme solution were mixed in a stopped-flow module and the reaction was monitored using a diode array spectrophotometer. The recorded data have an intrinsical three-component structure (samples, time and wavelength). This data array was studied via three-way principal component analysis and was modeled for quantitative purposes using a three-way partial least-squares calibration procedure. Results are compared with those obtained by applying classical bilinear PLS to the previously unfolded data matrix.