Distribution Of Active Pharmaceutical Ingredient Research Articles

Characterization of enteric-coated erythromycin tablets by Raman mapping and its pharmaceutical evaluation.

Enteric tablet coating thickness is a critical quality attribute of the coating process that can affect dissolution behavior in vitro as well as release in vivo. Raman mapping offers unique advantages in analyzing the distribution of active pharmaceutical ingredients and excipients in formulations. In this study, Raman mapping was used to characterize the coating of enteric-coated erythromycin tablets coated by two different processes and compare the differences in their coating formulation, thickness, and uniformity. Furthermore, we aimed to select the appropriate pH of the dissolution medium at which the coating slowly cracks to release the drug and determine the dissolution profile. The differences in the coating thickness and uniformity of the two products resulted in differences in dissolution behavior. Although there are differences in the coating processes for the two types of enteric-coated erythromycin tablets, the thickness of the outer coating on the side is a critical quality attribute in both processes. The outer coating of product A is relatively thick, and the thickness of the outer coating on the side affects the dissolution amount. The outer coating of product B is relatively thin, resulting in a short cracking time and large variation and a significant difference in the initial dissolution amounts between tablets. Raman mapping can be used to analyze the differences in coating formulations and for process evaluation.

Hot Stage Microscopy-based Method for Determination of Particle Size in Reverse Engineering: Establishment of a Platform Technology Employing Carvedilol as a Model Drug

Aim: To develop a hot stage microscopy based method for determination of particle size in reverse engineering and establishment of a platform technology employing carvedilol as a model drug. It was hypothesized that reverse engineering using thermal methods will suggest a logical path in decoding the innovator’s formulation to develop an efficient generic product and preconize the morphology of an active pharmaceutical ingredient (API). Background: To develop a generic formulation, a detailed analysis of identification, quantification and characterization of APIs and excipients present in the innovator product is a mandatory requirement. Identification of actives, excipients, and manufacturing processes involved in innovator product formulation can be facilitated using reverse engineering studies. Objective: The objective of this study was to establish a platform technology for determination of particle size in reverse engineering using hot stage microscopy (HSM). Method: Method: Differential scanning calorimetry (DSC) and HSM techniques were employed for identification of different unit processes that can affect the particle size distribution of API during formulation. Result: Result: DSC technique helped to unwind information about qualitative as well as quantitative nature of the formulation blend. HSM technique helped to reveal the particulate level properties of the drug present in the blend and formulation. Conclusion: The study concluded that the two thermal techniques DSC and HSM together could be effectively used to reverse engineer a given formulation using a very less sample quantity. The study suggested a logical path in decoding innovator’s formulation to develop an efficient generic product. Moreover, this HSM based thermal method of particle size determination will offer new insight into the decoding of an innovator product in a shorter period.

Occurrence and toxicity impact of pharmaceuticals in hospital effluents: Simulation based on a case of study

In the University Hospital of Albacete (Spain), the distribution of Active Pharmaceutical Ingredients (APIs) was studied to estimate the occurrence of the most prevalent analgesics and anti-inflammatories and antibiotics in patients’ urines. This estimation was based on the consumption amounts of APIs and their pharmacokinetic data. Results showed that metamizole would be the most prevalent drug among analgesics and anti-inflammatories with estimated concentrations ranging 100 – 1000 mg dm−3 in patients’ urines hospitalized in the surgical ICU, followed by around 10 mg dm−3 of acetylcysteine in surgical ICU and paracetamol in geriatrics. Likewise, estimated concentrations of 1–10 mg dm−3 were calculated for the 20 most representative antibiotics. Two β-lactam antibiotics (imipenem, meropenem) and one fluoroquinolone antibiotic (levofloxacin) would be present in patients’ urine from more than 3 surgical and medical areas. Additionally, the simulation of the toxicity impacts of active pharmaceutical ingredients (APIs) in hospital effluents was developed using the SimaPro 9.3.0.3 software and Ecoinvent 3.3 database since few studies were reported based on the real occurrence of drugs in urines. Ibuprofen was observed to have 2.4 times more ecotoxicity in freshwaters than paracetamol, although they did not show human toxicity related to carcinogenic effects. Amoxicillin presented a high potential ecological risk with a 3 kg equivalence of 1.4-DB per gram of drug. Overall, results demonstrate the importance to develop an adequate management and treatment of hospital effluents, including hospital urines, to reduce environmental and sanitary impacts.

Application of Computer Microtomography and Hyperspectral Imaging to Assess the Homogeneity of the Distribution of Active Ingredients in Functional Food

Functional foods represent one of the most intensively investigated and widely promoted areas in the food and nutrition sciences’ market today. The purpose of this work is to determine the possibility of using computed microtomography to assess the homogeneity of distribution of active pharmaceutical ingredients (vitamins K and D and calcium) throughout chocolate. Algorithms for analyzing of microtomographic images were proposed to quantify the distribution of active pharmaceutical ingredients (API) in chocolate: the Gray Level Co-Occurrence Matrix, quadtree decomposition and hyperspectral imaging. The use of the methods of analysis and processing of microtomographic images allows for a quantitative assessment of the homogeneity of the distribution of components throughout the sample, without a 3D reconstruction process. In computer microtomography analysis, it is possible to assess the distribution of those components whose density differs by at least a unit in the accepted scale of gray levels of images and for grain sizes not smaller than the voxel size. The proposed image analysis algorithms, Gray Level Co-Occurrence Matrix, quadtree decomposition and hyperspectral imaging, allow for the assessment of distribution of active ingredients in chocolate.

Research Progress of Raman Spectroscopy and Raman Imaging in Pharmaceutical Analysis.

The analytical investigation of the pharmaceutical process monitors the critical process parameters of the drug, beginning from its development until marketing and post-marketing, and appropriate corrective action can be taken to change the pharmaceutical design at any stage of the process. Advanced analytical methods, such as Raman spectroscopy, are particularly suitable for use in the field of drug analysis, especially for qualitative and quantitative work, due to the advantages of simple sample preparation, fast, non-destructive analysis speed and effective avoidance of moisture interference. Advanced Raman imaging techniques have gradually become a powerful alternative method for monitoring changes in polymorph distribution and active pharmaceutical ingredient distribution in drug processing and pharmacokinetics. Surface-enhanced Raman spectroscopy (SERS) has also solved the inherent insensitivity and fluorescence problems of Raman, which has made good progress in the field of illegal drug analysis. This review summarizes the application of Raman spectroscopy and imaging technology, which are used in the qualitative and quantitative analysis of solid tablets, quality control of the production process, drug crystal analysis, illegal drug analysis, and monitoring of drug dissolution and release in the field of drug analysis in recent years.

Label-Free Autofluorescence-Detected Mid-Infrared Photothermal Microscopy of Pharmaceutical Materials.

Label-free autofluorescence-detected photothermal mid-IR (AF-PTIR) microscopy is demonstrated experimentally and applied to test the distribution of active pharmaceutical ingredients (APIs) in a mixture containing representative pharmaceutical excipients. Two-photon excited UV-fluorescence (TPE-UVF) supports autofluorescence of native aromatic moieties using visible-light optics. Thermal modulation of the fluorescence quantum yield serves to report on infrared absorption, enabling infrared spectroscopy in the fingerprint region with a spatial resolution dictated by fluorescence. AF-PTIR provides high selectivity and sensitivity in image contrast for aromatic APIs, complementing broadly applicable optical photothermal IR (O-PTIR) microscopy based on photothermal modulation of refractive index/scattering. Mapping the API distribution is critical in designing processes for powdered dosage form manufacturing, with high spatial variance potentially producing variability in both delivered dosage and product efficacy. The ubiquity of aromatic moieties within API candidates suggests the viability of AF-PTIR in combination with O-PTIR to improve the confidence of chemical classification in spatially heterogeneous dosage forms.

Method development and validation of a near-infrared spectroscopic method for in-line API quantification during fluidized bed granulation

Near-infrared spectroscopy (NIRS) is an excellent process analytical technology (PAT) tool for active pharmaceutical ingredient (API) quantification during fluidized granulation. Therefore, a portable near-infrared spectrometer combined with a new innovative method of extended iterative optimization technique (EIOT) was used to in-line monitor the API content uniformity during fluidized bed granulation. The principal component analysis (PCA) and partial least squares regression (PLSR) were also used to characterize and predict API concentration with changes from 75% to 125% of the label claim to prove the superiority of EIOT. The API content prediction accuracy of the EIOT method was verified through offline High Performance Liquid Chromatography (HPLC) measurement. Also, the spatial distribution of API in granules was visualized by Raman imaging technology. The results showed that the established NIRS method was suitable for the prediction of API content in fluidized bed granulation, which provides a new idea for the determination of API content during granulation.

Understanding particle formation in a moving droplet using the classical theory of nucleation and diffusion-based growth mechanism: A modeling approach

Particle size reduction of the active pharmaceutical ingredients (APIs) in the range of 1–5 µm is required for efficient drug delivery through the nasal route. The traditional micronization techniques such as jet milling, spray drying and liquid antisolvent recrystallization exist to produce the particles in this size range. However, these techniques have many disadvantages such as irregular particles, broad particle size distribution, chemical and thermal degradation. Supercritical fluid-based micronization techniques have been proved as a promising technology to produce spherical particles in this size range. In this work, a model is developed to predict the particle size distribution of API recrystallized by a supercritical antisolvent recrystallization process. Rifampicin is considered a modal API to be recrystallized. In this process, the API is first dissolved in dimethyl sulfoxide and this solution is sprayed into a precipitator. The precipitator has carbon dioxide at supercritical conditions i.e. above its critical temperature and pressure. Supercritical Carbon dioxide acts as an antisolvent as rifampicin is not soluble in it. Diffusion of carbon dioxide into solution droplet decreases the solubility of rifampicin in dimethyl sulfoxide and the crystallization process starts. Primary nucleation and diffusion-based growth mechanism are considered to calculate average particle size and particle size distribution. This model is solved in MATLAB 7.1 and the trend of particle size distribution predicted by the model is found to be similar to particle size distribution by experiments.

[Criticalquality attribute assessment of big brand traditional Chinese medicine: visualization method for quality control of Ginkgo Leaves Tablets based on spatial distribution uniformity].

Spatial distribution uniformity is the critical quality attribute(CQA) of Ginkgo Leaves Tablets, a variety of big brand traditional Chinese medicine. The evaluation of the spatial distribution uniformity of active pharmaceutical ingredients(APIs) in Ginkgo Leaves Tablets is important in ensuring their stable and controllable quality. In this study, hyperspectral imaging technology was used to construct the spatial distribution map of API concentration based on three prediction models, further to realize the visualization research on the spatial distribution uniformity of Ginkgo Leaves Tablets. The region of interest(ROI) was selected from each Ginkgo Leaves Tablet, with length and width of 50 pixels, and a total of 2 500 pixels. Each pixel had 288 spectral channels, and the number of content prediction data could reach 1×10~5 for a single sample. The results of the three models showed that the Partial Least Squares(PLS) model had the highest prediction accuracy, with calibration set determination coefficient R_(pre)~2 of 0.987, prediction set determination coefficient R_(pre)~2 of 0.942, root mean square error of calibration(RMSEC) of 0.160%, and root mean square error of prediction(RMSEP) of 0.588%. The classical least-squares(CLS) model had a greater prediction error, with the RMSEP of 0.867%. Multivariate Curve Resolution-Alternating Least Square(MCR-ALS) model showed the worst predictive ability among the three models, and it couldn't realize content prediction. Based on the prediction results of PLS and CLS models, the spatial distribution map of APIs concentration was obtained through three-dimensional data reconstruction. Furthermore, histogram method was used to evaluate the spatial distribution uniformity of API. The data showed that the spatial distribution of APIs in Ginkgo Leaves Tablets was relatively uniform. The study explored the feasibility of visualization of spatial distribution of Ginkgo Leaves Tablets based on three models. The results showed that PLS model had the highest prediction accuracy, and MCR-ALS model had the lowest prediction accuracy. The research results could provide a new strategy for the visualization method of quality control of Ginkgo Leaves Tablets.

Fate of active pharmaceutical ingredients in a northern high-rate algal pond fed with municipal wastewater

Active pharmaceutical ingredients (APIs) are vital to human health and welfare, but following therapeutic use, they may pose a potential ecological risk if discharged into the environment. Today’s conventional municipal wastewater treatment plants are not designed to remove APIs specifically, and various techniques, preferably cost-effective and environmentally friendly, are being developed and evaluated. Microalgae-based treatment of wastewater is a sustainable and low-cost approach to remove nutrients and emerging contaminants. In this study, a North Sweden high-rate algal pond (HRAP) using municipal untreated wastewater as medium, was investigated in terms of API distribution and fate. Three six-day batches were prepared during 18 days and a total of 36 APIs were quantified within the HRAP of which 14 were removed from the aqueous phase above 50% and seven removed above 90% of their initial concentrations. Twelve APIs of a hydrophobic nature were mostly associated with the algal biomass that was harvested at the end of each batch. HRAPs treatment successfully removed 69% of studied APIs (25 of 36 studied) in six day time. The distribution of various APIs between the aqueous phase and biomass suggested that several removal mechanisms may occur, such as hydrophobicity driven removal, passive biosorption and active bioaccumulation.

Preparation and characterization of hot-melt extruded polycaprolactone-based filaments intended for 3D-printing of tablets

Hot-melt extruded (HME) filaments are an essential intermediate product for the three- dimensional (3D) printing of drug delivery systems (DDSs) by the fused deposition modelling (FDM) process. The aim of this study was to design novel polymeric 3D-printable HME filaments loaded with active pharmaceutical ingredients (APIs). The physical solid-state properties, mechanical properties, drug release and short-term storage stability of the filaments and 3D-printed DDSs were studied. Physical powder mixtures of polycaprolactone (PCL), plasticizer and API were manually blended, extruded by a single-screw extruder, and printed by a table-top FDM 3D-printing system. The composition of PCL and arabic gum (ARA) enabled the incorporation of 20%, 30% and 40% (w/w) of indomethacin (IND) and theophylline (THEO) into the HME filaments. The uneven distribution of API throughout the filaments impaired 3D printing. The HME filaments loaded with 20% IND or THEO were selected for the further analysis and printing tests (the ratio of PCL, ARA and IND or THEO was 7:1:2, respectively). The IND filaments were yellowish, mechanically strong and flexible, and they had a uniform filament diameter and smooth outer surface. The filaments containing THEO were smooth and off-white. The 3D-printed tablets fabricated from IND or THEO-loaded filaments showed sustained drug release in vitro. The drug release rate, however, significantly increased by changing the geometry of 3D-printed tablets from a conventional tablet structure to an unorthodox lattice (“honeycomb”) structure. Overall, the combination of PCL and ARA provides an interesting novel polymeric carrier system for 3D-printable HME filaments and tablets.

A Novel Co-Crystal of Bexarotene and Ligustrazine Improves Pharmacokinetics and Tissue Distribution of Bexarotene in SD Rats.

Bexarotene (BEX), a specific retinoic acid X receptor (RXR) agonist granted by Food and Drug Administration (FDA) approval for the clinical treatment of T cell lymphoma, has now been found to exert pharmacological effects in the nervous system, with low bioavailability and poor cerebral distribution limiting its application in treatment on neurological disorders. Pharmaceutical co-crystal was a helpful method to improve the bioavailability and tissue distribution of active pharmaceutical ingredients (APIs). Here, 2bexarotene-ligustrazine (2BEX-LIG), a novel co-crystal system of BEX and ligustrazine (LIG) of which with BEX is an API, was constructed with satisfactory stability and enhanced solubility. The pharmacokinetics characteristics of BEX were detected, and the results showed that the absolute bioavailability and the cerebral concentration of BEX in rats administrated with 2BEX-LIG were enhanced from 22.89% to 42.86% and increased by 3.4-fold, respectively, compared with those in rats administrated an equivalent of BEX. Hence, our present study indicated that the novel co-crystal of 2BEX-LIG contributed to improving BEX oral bioavailability and cerebral distribution, thereby providing significant advantages for clinical application of brain tumors and other neurological diseases.

Characterization of Controlled Release Microspheres Using FIB-SEM and Image-Based Release Prediction

For polymer-based controlled release drug products (e.g. microspheres and implants), active pharmaceutical ingredient distribution and microporosity inside the polymer matrix are critical for product performance, particularly drug release kinetics. Due to the decreasing domain size and increasing complexity of such products, conventional characterization and release test techniques are limited by their resolution and speed. In this study, samples of controlled release poly(lactic-co-glycolic acid) microspheres in the diameter range of 30-80μm are investigated with focused ion beam scanning electron microscope imaging at 20nm or higher resolution. Image data is quantified with artificial intelligence-based image analytics to provide size distributions of drug particles and pores within the microsphere sample. With an innovative image-based numerical simulation method, release profiles are predicted in a matter of days regardless of the designed release time. A mechanistic understanding on the impact of porosity to the interplays of drug, formulation, process, and dissolution was gained.

In-line temperature measurement to improve the understanding of the wetting phase in twin-screw wet granulation and its use in process development.

Wetting is the initial stage of wet granulation processes during which the first contact between the powder and the liquid occurs. Wetting is a critical step to allow granule growth and consolidation, but also to ensure uniform active pharmaceutical ingredient (API) distribution over all granule size fractions. A physical understanding of the wetting stage is therefore crucial to design a robust granulation process. In twin-screw granulation, wetting is physically separated from granule consolidation, growth, breakage and attrition. The present study used this particularity to investigate the wetting step in such a way that the fundamental mechanisms governing the wetting can be linked and understood. A modified granulator barrel was used allowing the collection of granules immediately after the wetting. A low drug-loaded pharmaceutical formulation containing a poorly soluble and poorly wettable API was used for this investigation. Granules obtained after the wetting zone were analysed for granule size distribution, API distribution over the different size fractions and granule temperature. It was found that "wetting efficiency" (i.e., fraction of powder being nucleated during the wetting stage) could be predicted using an energy balance based on in-line measurement of the granule temperature. Wetting efficiency could moreover be linked to final granule quality attributes (i.e., granule size distribution) at the outlet of the granulator. It was further demonstrated that granule growth and consolidation could only be achieved when complete wetting was achieved in the wetting zone of the granulator. This study suggested a methodology based on in-line temperature measurements to quickly determine wetting efficiency. The described methodology could therefore be used as a tool to gain more fundamental understanding of the wetting stage during twin-screw granulation as well as to define suitable formulation and process ranges for further granulation process development.

Determining the Distribution of Active Pharmaceutical Ingredients in Combination Tablets Using Near IR and Low-Frequency Raman Spectroscopy Imaging.

Combination tablets containing multiple active pharmaceutical ingredients (APIs) are expected to improve patient convenience by decreasing the number of tablets to be taken; thus, numerous formulations containing multiple APIs have recently been developed. To allow for dose adjustments based on patient conditions, many tablets have a bisection line to allow equal division of tablets. However, there have been no investigations regarding content uniformity among divided combination tablets. Therefore, in this study, the content uniformity of combination tablets after division was investigated using near IR and low-frequency (LF) Raman spectroscopy imaging as well as the Japanese Pharmacopoeia (JP) content uniformity tests. As model drugs, five tablets of three combination drugs containing 3-(3,4-dihydroxyphenyl)-L-alanine (L-DOPA) and benserazide hydrochloride (BNS) as APIs for treating Parkinson's disease were bisected; the resultant 10 samples were subjected to the JP content uniformity tests. We found that acceptance values of L-DOPA and BNS were 11.0-21.9% and 13.3-17.5%, respectively, with some non-conformity to the maximum allowed acceptance value (15.0%) as per the current JP. Image analyses by near IR showed that L-DOPA, BNS, lactose, and corn starch were uniformly distributed in each tablet; moreover, LF Raman spectroscopy imaging also supported the result that L-DOPA, BNS, and lactose were evenly distributed. Therefore, drug content in the tablets was uniform; thus, careful manipulation was recommended in the tablet bisection. However, the results of bisection line specifications and hardness tests revealed that the ease of division differed depending on the tablets, which warrants attention.

Fiber-Array-Based Raman Hyperspectral Imaging for Simultaneous, Chemically-Selective Monitoring of Particle Size and Shape of Active Ingredients in Analgesic Tablets.

The particle shape, size and distribution of active pharmaceutical ingredients (API) are relevant quality indicators of pharmaceutical tablets due to their high impact on the manufacturing process. Furthermore, the bioavailability of the APIs from the dosage form depends largely on these characteristics. Routinely, particle size and shape are only analyzed in the powder form, without regard to the effect of the formulation procedure on the particle characteristics. The monitoring of these parameters improves the understanding of the process; therefore, higher quality and better control over the biopharmaceutical profile can be ensured. A new fiber-array-based Raman hyperspectral imaging technique is presented for direct simultaneous in-situ monitoring of three different active pharmaceutical ingredients- acetylsalicylic acid, acetaminophen and caffeine- in analgesic tablets. This novel method enables a chemically selective, noninvasive assessment of the distribution of the active ingredients down to 1 µm spatial resolution. The occurrence of spherical and needle-like particles, as well as agglomerations and the respective particle size ranges, were rapidly determined for two commercially available analgesic tablet types. Subtle differences were observed in comparison between these two tablets. Higher amounts of acetaminophen were visible, more needle-shaped and bigger acetylsalicylic acid particles, and a higher incidence of bigger agglomerations were found in one of the analgesic tablets.

ToF‐SIMS depth profiling of oral drug delivery films for 3D visualization of active pharmaceutical particles

The size, shape, and spatial distribution of active pharmaceutical ingredient (API) are important physical characteristics of drug delivery systems that can affect the performance, stability, appearance, and even bulk properties of the end product. This study explores the feasibility of using time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS) for the 3D characterization of API particles in two commercially available oral dissolvable drug delivery films. It was found that ToF‐SIMS imaging with argon gas cluster ion beam (GCIB) sputtering allowed production of 3D chemical maps that could be utilized to obtain size distributions of buprenorphine particles whose effective diameters ranged from approximately 6 μm to 41 μm, with shapes that were generally spherical with a few nonspherical structures. The particles were heterogeneously distributed both laterally and as a function of depth in the film. In addition, ToF‐SIMS was able to differentiate between different oral drug delivery films based on differences in the spatial distribution of buprenorphine; in one case, the particles were distributed throughout the depth of the film, whereas the particles in the other case were localized close to the surface. Preliminary studies suggest that ToF‐SIMS with argon GCIB sputtering may also allow us to provide a very rough estimate of the concentration of the APIs (factors of 2 to 4), namely buprenorphine and naloxone, at pharmacologically relevant concentrations inside organic drug delivery systems with a thickness of hundreds of micrometers.

Manufacturing of Pharmaceuticals by Impregnation of an Active Pharmaceutical Ingredient onto a Mesoporous Carrier: Impact of Solvent and Loading

In this study, an active pharmaceutical ingredient (API) was impregnated onto a mesoporous carrier (excipient) in a fluidized bed. Impregnating APIs in porous carriers has the potential to simplify the drug substance development process and leads to the elimination of the blending and granulation unit operations. Impregnation and drying occur simultaneously in fluidized-bed impregnation, and this method precludes several challenges encountered in other impregnation methods. Furthermore, the process ensures a uniform distribution of APIs within the porous carriers. This method also allows for a variety of solvents to be used in the impregnation. Using a batch fluidized-bed dryer, impregnation of acetaminophen (APAP) onto a magnesium/aluminum metasilicate (Neusilin R) was studied. Water and methanol were used as transport solvents to impregnate different loadings (w/w) of APAP, namely, ranging from 24 to 0.1%. Uniformity tests indicated that APAP loadings of all impregnated products are close to their target loadings across carrier size classes. Tests before and after impregnation showed that there were no changes observed in the physical properties of the carrier, such as particle size, compressibility, and flow properties. X-ray diffraction (XRD) and differential scanning calorimetry (DSC) analysis performed on the samples indicated that the low loadings APAP was present in the carrier pores in its amorphous state. At high loadings, we observed that APAP was mainly present in its amorphous state, however, some degree of crystallinity was observed. Lastly, dissolution tests on the impregnated product showed enhanced dissolution rates in acidic media, and comparable dissolution rate in de-ionized (DI) water, compared to the pure drug crystals. Our results show that the method of fluidized-bed impregnation yields a product with high uniformity and overcomes several challenges presented by traditional physical blends.

Estimation of total prescription weights of active pharmaceutical ingredients in human medicines based on a public database for environmental risk assessment in Japan

The distribution of active pharmaceutical ingredients (APIs) in prescription medicines for human consumption in Japan was estimated using the public database of the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB). From the latest NDB, 2058 APIs were identified, and the prescription weight exceeded 1 tonne/year for 711 APIs. Of these, 298 APIs were selected for further analysis after removing 413 APIs that were not covered by current environmental risk assessment (ERA) directives or were combination products. Among the 298 APIs, 43 were relatively newly branded APIs that have been available on the Japanese market since 2001 or later and have no generic drugs, and only 5 of the branded APIs are used by more than 1% of the population. When prescription data from the 47 prefectures in Japan were analyzed, prescription weights for 257 of the 298 APIs were the highest in Tokyo, probably because of its large population. Though it has both advantages and limitations, this novel method based on a non-profit public database can provide a transparent, unbiased and cost-effective solution for the estimation of the environmental exposure of generic and branded human medicines distributed with prescriptions in Japan.

The influence of different acquisition settings and the focus adjustment on Raman spectral maps of pharmaceutical tablets

Pharmaceutical tablets contain a variety of active substances and excipients which could be monitored by Raman spectroscopy/microscopy. Raman microscopic spectra are affected not only by the sample composition but also by preparation/measurement conditions. The character and variability of surface morphology (of tablet slices), the appropriate levels of focusing and other adjustable settings of the measurement instrumentation represent important parameters to be considered for obtaining relevant and reliable results by Raman microscopic mapping/imaging analysis in the pharmaceutical practice. The aim of the study is to determine the effect of levels of the spotlight, and other instrumental parameters for mapping industrially manufactured pharmaceutical tablets and to find out suitable, preferably robust, parameters for routine analyses. The role of roughnesses produced by commonly used microtome slices of tablets was investigated experimentally by different focusing levels showing relatively weak (statistical) influence on data sets. The spectral quality was evaluated by signal–to–noise ratio. The data sets were processed using two multivariate statistical methods (Principal Component Analysis, Soft Independent Modeling of Class Analogy). Direct Classical Least Squares statistical modeling was optimized to show the distribution of active pharmaceutical ingredient and excipients in Raman maps. The applied different types of data evaluation confirm that the most suitable position regarding the focusing is the middle of tablet's cross-section roughness. However, we have shown that the selection of microscopic measurement modes plays a much more significant role. The selection of proper measurement mode is crucial to describe the actual sample variability and to obtain relevant data for real pharmaceutical samples. The time–consuming requirements of measurement modes need to be considered, as well, to obtain as reasonable data as possible in the given time frame in the applied pharmaceutical analysis.