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Ever since 3D printing was introduced to the field of pharmacy, it has caused a paradigm shift from the manufacturing of large-scale to small batches of medicines tailored accordingly to the specific needs of patients. This study aimed to formulate and fabricate two-layered 3D tablets using the digital light processing (DLP) technique. Hydrochlorothiazide (HHT,5%,w/w) and warfarin sodium (WS,5%,w/w) were selected as model drugs. The printing process was initiated with 0.1% of photoinitiator, at a constant ratio of poly(ethylene glycol)diacrylate and poly(ethylene glycol) 400, 1:1, with the addition of water (10%,w/w). Single-layered tablets of 8.00 mm diameter and 1.50 mm thickness, containing HHT and WS respectively, were successfully printed, as well as combined two-layered 3D tablets, with each of the active substances in separate layers. Dissolution tests of single-layered tablets showed immediate, but incomplete release of WS (81.47±1.47%, after 45min), and prolonged and complete release of HHT (98.17±3.11%, after 8h), while significantly slower and incomplete release of both drugs from the combined two-layered 3D tablets was observed. The absence of drug-polymer interaction and presence of a layered cross-sectional tablet structure were confirmed. DLP technique enables simple and rapid fabrication of combined two-layered 3D tablets, while further optimization of formulation factors is necessary to achieve complete drug release.

Text mining (TM) applications in the field of biomedicine are gaining great interest. TM tools can facilitate formulation development by analyzing textual information from patent databases, scientific articles, summary of products characteristics, etc. The aim of this study was to utilize TM tools to perform qualitative analysis of paracetamol (PAR) and ibuprofen (IBU) formulations, in terms of identifying and evaluating the presence of excipients specific to the active pharmaceutical ingredient (API) and/or dosage form. A total of 152 products were analyzed. Web-scraping was used to retrieve the data, and Python-based open-source software Orange 3.31.1 was used for TM and statistical analysis (ANOVA) of the obtained results. The majority of marketed products for both APIs were tablets. The predominant excipients in all tablet formulations were povidone, starch, microcrystalline cellulose and hypromellose. Povidone, stearic acid, potassium sorbate, maize starch and pregelatinized starch occurred more frequently in PAR tablets. On the other hand, titanium dioxide, lactose, shellac, sucrose and ammonium hydroxide were specific to IBU tablets. PAR oral suspensions more frequently contained dispersible cellulose; liquid sorbitol; methyl and propyl parahydroxybenzoate, glycerol and acesulfame potassium. Specific excipients in other PAR dosage forms, such as effervescent tablets, hard capsules, oral powders, solutions and suspensions, as well as IBU gels and soft capsules, were also evaluated.

In this work, a blend of gelatin A (GA) and polyvinylpyrrolidone (PVP K30) was used for semi-solid 3D printing of bone scaffold for ibuprofen (IBU) delivery. The cross-linking of the obtained scaffold was performed with a 1% glutaraldehyde (GTA) solution, followed by lyophilization. The thermal and mechanical properties, as well as drug release profiles, and drug kinetics of prepared scaffolds were investigated. The cross-linked and lyophilized scaffold has shown good thermal stability, mechanical properties, and prolonged release of IBU following the Fickian diffusion process.

Compaction simulators are designed as machines which can provide an in-depth analysis of the powder compaction process. Characterization of the powder compression and compaction process, as well as material characterization, play an important role in the formulation and manufacturing process design and development, as well as in creating a strong knowledge basis for the scale-up of the tablet compression and troubleshooting in further stages of the product lifecycle. Although compaction simulators are designed to simulate the compression process on high-speed tablet-presses, with the advantages of a small quantity of material needed and highly sophisticated instrumentation, there are certain limitations in the extrapolation of the process parameters from these machines to high-speed rotary tablet presses. However, the advantage of the use of compaction simulators for studying basic compression and compaction mechanisms, identification of critical material attributes and critical process parameters ranges, and their relations with tablet characteristics and critical quality attributes of pharmaceutical products is clear, compared to the use of small excentre tablet presses, and complementary to the use of small rotary tablet presses. This scientific paper provides an overview and examples of the different advantages provided by the instrumentation of compaction simulators, including certain limitations in their exploitation.

Understanding the effect of the characteristics of formulation and process parameters on the physicochemical properties of a pharmaceutical product is very significant for the development of solid dosage forms, as the knowledge gained on small scale batches in the early phase of development is used in the later phases of product lifecycle or in the development of other products. One of the approaches for gaining a better understanding of the effects of the formulation and production process on the quality of the finished product is to apply a systematical approach which concerns performing experiments according to a predefined factorial or fractional factorial experimental plan. However, often it is the case that there are available data gathered in a non-systematic way, because experiments were not performed according to a predetermined experimental plan. In such a case, data mining techniques could be used to extract useful data from the historical data set. In this research, the possibility of using several data mining techniques to build models that describe the effect of formulation characteristics on acid resistance and dissolution profile of a model drug from gastro-resistant pellets. The model drug used in the research is duloxetine hydrochloride from the group of antidepressants. It belongs to the BCS 2 class of active pharmaceutical ingredients, and it is therefore necessary for the release profile of duloxetine to be characterized by a higher number of tested time points. The developed models can be used for planning future laboratory trials, or in the development of other products.

The development of solid dosage forms that are both convenient for administration and allow precise drug dosing for pediatric patients is one of the great challenges in contemporary pharmaceutical technology. The presented study has utilized propranolol hydrochloride, as one of the most frequently prescribed drugs that require manipulation of the conventional dosage forms to be administered to children. Multiparticulate oral formulations, powderand granulefilled capsules, as well as mini tablets, were prepared and characterized in terms of their mass and content uniformity and compared to conventional marketed tablets split into halves and quarters. The obtained results have demonstrated the superiority of the multiparticulate formulations, in terms of their average mass and drug content uniformity. It has also been demonstrated that, due to improved flowability, granule-filled capsules are more conveniently compounded and provide higher content uniformity compared to powder-filled capsules. The presented compounding method could be easily employed in community pharmacy settings. Mini tablets with high and uniform content of propranolol hydrochloride have been successfully prepared, thereby presenting a viable strategy for efficient drug dose adjustment.

Machine learning algorithms, and artificial intelligence in general, have a wide range of applications in the field of pharmaceutical technology. Starting from the formulation development, through a great potential for integration within the Quality by design framework, these data science tools provide a better understanding of the pharmaceutical formulations and respective processing. Machine learning algorithms can be especially helpful with the analysis of the large volume of data generated by the Process analytical technologies. This paper provides a brief explanation of the artificial neural networks, as one of the most frequently used machine learning algorithms. The process of the network training and testing is described and accompanied with illustrative examples of machine learning tools applied in the context of pharmaceutical formulation development and related technologies, as well as an overview of the future trends. Recently published studies on more sophisticated methods, such as deep neural networks and light gradient boosting machine algorithm, have been described. The interested reader is also referred to several official documents (guidelines) that pave the way for a more structured representation of the machine learning models in their prospective submissions to the regulatory bodies.

Computer-based (in silico) modeling & simulation tools have been embraced in different fields of pharmaceutics for a variety of applications. Among these, physiologically-based pharmacokinetic/biopharmaceutics modeling (PBPK/PBBM) emerged as a particularly useful tool in formulation development. PBPK/PBBM facilitated strategies have been increasingly evaluated over the past few years, as demonstrated by several reports from the pharmaceutical industry, and a number of research and review papers on this subject. Also, the leading regulatory authorities have recently issued guidance on the use of PBPK modeling in formulation design. In silico PBPK models can comprise different dosing routes (oral, intraoral, parenteral, inhalation, ocular, dermal etc.), although the majority of published examples refer to modeling of oral drugs performance. In order to facilitate the use of PBPK modeling tools, a couple of companies have launched commercially available software such as GastroPlus™, Simcyp™ PBPK Simulator and PK-Sim®. This paper highlights various application fields of PBPK/PBBM modeling, along with the basic principles, advantages and limitations of this approach, and provides relevant examples to demonstrate the practical utility of modeling & simulation tools in different stages of formulation development.

The importance of biopharmaceutical considerations in pharmaceutical development and drug characterization has been well recognized both by pharmaceutical industry and regulatory authorities as a tool to establish predictive relationships between drug product quality attributes (in vitro data) and its clinical performance (in vivo data). In the present paper, contemporary biopharmaceutics toolkit including in vivo predictive dissolution testing, Biopharmaceutics Classification System, physiologically based pharmacokinetic and biopharmaceutics modeling and simulation, in vitro-in vivo correlation and biowaiver, are reviewed with regards to relevant general principles and applicability. The recently introduced innovative strategy for patient-centric drug development using an integrated systems approach grounded in fundamental biopharmaceutics concepts, clinical insights and therapeutic drug delivery targets, described as Biopharmaceutics Risk Assessment Roadmap (BioRAM) is also presented. Further development in the field will benefit from joint efforts and exchange of knowledge and experiences between pharmaceutical industry and regulatory authorities for the common goal to accelerate development of effective and safe drug products designed in accordance with patients’ needs and expectations.

The purpose of this extensive study is to use a quality by design (QbD) approach and multiple machine learning algorithms in facilitating wet granulation process scale-up. This study investigated the extent of influence of both formulation and process variables. Furthermore, measured responses covered compressibility, compactibility and manufacturability of a powder blend. Finally, the models developed on laboratory scale samples were tested on pilot and commercial scale runs. Tablet detachment and ejection work were calculated from force-displacement measurements. Significant numerical and categorical input variables were identified by using a stepwise regression model and their importance evaluated by using a boosted trees model. Pilot scale runs resulted in the highest tablet tensile strength and compaction work as well as the highest detachment and ejection work. Critical quality attributes (CQAs) that were the most successfully predicted were the compaction, decompaction, and net work, as well as the tablet height. The most important input variable influencing all CQAs was the compaction force. Application of the boosted regression trees model resulted in the lowest Root Mean Square Error (RMSE) values for all of the responses. This work demonstrates reliability of predictions of developed models that can be successfully used as a part of a QbD approach for wet granulation scale-up.

Orodispersible dosage forms are intended to be placed on tongue where, in contact with limited saliva volume, fast disintegration, followed by facilitated swallowing, occurred. Intraoral disintegration might be accompanied by drug release and dissolution in oral cavity. Dissolved drug could interact with receptors on taste buds causing taste sensation. The most important critical quality attributes of orodispersible dosage forms are acceptable mechanical resistance, fast disintegration and pleasant taste which have to be monitored and evaluated during formulation development and production. However, compendial methods for orodispersible dosage forms characterization are still lacking, while many authors attempt to develop different, more suitable approaches. The highest variability during determination of disintegration properties is observed. It can be concluded that for the proper disintegration assessment influence of tongue force have to be considered, especially in the case of different polymeric orodispersible films. For reliable development of in vivo study for evaluation of tastemasking efficacy, proper selection and training of panelists accompanied by bitterness threshold determination are of the utmost importance. In order to correlate in vitro and in vivo data, it is necessary to develop analytical method for evaluation of taste-masking efficacy that mimic, in great extent, physiological intraoral conditions.

Nutrition and dietary supplements have a significant role in the prevention and treatment of cardiovascular disease. Olive and vine leaves, thanks to their constituents, represent powerful natural antioxidants exhibiting cardioprotective activity. High concentrations of active ingredients can be provided by means of extraction. Dry herbal extracts are highly sensitive to moisture and elevated temperature and from the pharmaceutical and technological point of view these are raw materials with inadequate technological properties. The aim of this study was to investigate and to compare the influence of different excipients in capsule formulation of these two dry extracts i.e. the selection of excipients that will ensure appropriate critical process parameters in the manufacturing procedure. The monitored quality characteristics include flowability, bulk density and tapped density that are critical for technological feasibility of the capsule-filling operation. The effects of excipients on the above parameters have been experimentally studied and the appropriate capsule formulations have been developed based on the obtained results, which will ensure homogeneity and stability of the preparation. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. TR34007]

In latest years, many natural and synthetic solid carriers attract increasing attention, due to theirs biocompatibility, acceptable ecological and toxicological properties, possible modification of physico-chemical properties, simple production, high stability and relatively low price. These carriers have similar chemical structure, mostly based on silicon-dioxide, magnesium aluminometasilicate and calcium phosphate, and differ from each other in structure porosity, specific surface area, size, volume and shape of pores, and possibility of surface functionalization. Ordered mesoporous materials like MCM - 41 and SBA - 15, as well as porous materials from Neusilin® and Sylysia® groups, represent the most common adsorbents evaluated in order to increase drug dissolution rate, and its bioavailability, and also in modifiedand targeted drug release formulations. Also, natural silica material, isolated from diatomites, diatom microshells, with its unique characteristics, represents relatively cheap solid carrier used in formulation of oral dosage forms and implants. Modern adsorbents are mostly used in formulations of solid dispersions with low water-soluble drugs, or as solid carriers for lipid formulations. In latest years, modern porous carriers are evaluated for possible surface functionalization in order to achieve prolonged or signal-initiated drug release.

One of the problems with orally used drugs is their poor solubility, which can be overcame by creating solid self-nanoemulsifying drug delivery systems (SNEDDS). Aim is choosing appropriate SNEDDS using mixture design and adsorption of SNEDDS on a solid carrier to improve the dissolution rate of carbamazepine. Self-emulsifying drug delivery systems (SEDDS) consisting of oil phase (caprilic-capric triglycerides), a surfactant (Polisorbat 80 and Labrasol® (1:1)) and cosurfactant (Transcutol® HP) are formed by applying mixture design. 16 formulations were formulated, where proportion of lipids, surfactant and cosurfactant were varied (input parameters) in the following ranges: 10-30%, 40-60%, 30-50%, respectively. After dilution of SEDDS with water (90% water), the droplet size and polydispersity index (PdI) of the obtained emulsions (output parameters) were measured using photon correlation spectroscopy. After processing data, appropriate mathematical models that describe the dependence of input and output parameters were selected. The optimized SNEDDS was adsorbed on the carbamazepine and solid carrier physical mixture, containing 20% carbamazepine. Neusilin® UFl2, Neusilin® FL2, Sylysia® 320, diatomite were used as the carriers. The ratio of SNEDDS:carrier varied (1:1, 2:1). Dissolution testing was carried out in the rotation paddles apparatus. Caracterization of solid SNEDDS was performed using the hot stage microscopy (HSM), thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), infrared spectrophotometry with Fourier transformation (FT-IR), scanning electron microscopy (SEM) and X-ray diffraction (PXRD). Selected SNEDDS consisting of lipids (21.12%), surfactant (42.24%) and cosurfactant (36.64%) had a droplet size 157.02±34.09 nm and PDI 0.184±0.021. Drug release profiles showed that in all formulations dissolution rate increased (the fastest drug release was observed in formulations with Sylysia® 320). It can be concluded that in all formulations carbamazepine is present in the thermodynamically most stable polymorphic form III. Formulation of solid SNEDDS can significantly increase dissolution rate carbamazepine, with conservation of the polymorphic form III CBZ and potentially increased bioavailability. [Projekat Ministarstva nauke Republike Srbije, br. TR 34007]

Diatoms are widespread unicellular photosynthetic algae that produce unique highly ordered siliceous cell wall, called frustule. Micro- to nanoporous structure with high surface area that can be easily modified, high mechanical resistance, unique optical features (light focusing and luminescence) and biocompatibility make diatom frustule as a suitable raw material for the development of devices such as bio- and gas sensors, microfluidic particle sorting devices, supercapacitors, batteries, solar cells, electroluminescent devices and drug delivery systems. Their wide availability in the form of fossil remains (diatomite or diatomaceous earth) as well as easy cultivation in the artificial conditions further supports use of diatoms in many different fields of application. This review focused on the recent achievements in the diatom bioapplications such as drug delivery, biomolecules immobilization, bio- and gas sensing, since great progress was made in this field over the last several years.

Conventional granulation methods are associated with significant disadvantages which have led to increased interest and investment in the development of alternative techniques. Melt granulation is an alternative technique with significant potential for the application in production of solid dosage forms. Melt granulation involves the use of binders with relatively low melting point (50 to 100°C) that act as a molten binding liquid in agglomeration process. Considering that solvent is not required, drying phase is avoided, and number of processing steps and costs is reduced in comparison with the traditional wet granulation process. Process is suitable for moisture-sensitive drugs, and by selecting the suitable binder, it can be used to prepare modified or immediate release dosage forms, with improved bioavailability of poorly water soluble drugs, as well as to achieve taste masking. Melt granulation can be performed in the equipment commonly used for wet granulation, such as high shear mixers, fluid bed granulators, and extruders. Numerous formulation variables, process parameters, and equipment-related factors can affect the agglomeration mechanism and characteristics of the granules obtained. Well controlled melt granulation process requires thorough knowledge and understanding of the influence of these factors. Therefore, this research area still requires an intense and often multidisciplinary research.

This study investigates using of high molecular weight polyethylene oxide (PEO WSR Coagulant) for the preparation of sustained release matrix tablets containing high dose, highly water soluble drug, tramadol HCl. Proportion of PEO polymer, type of insoluble filler, proportion of tramadol HCl, amount of drug in tablet, tablet diameter and compression pressure were recognized as critical formulation and process parameters and their influence on drug release and tablet mechanical properties was evaluated. Percentages of tramadol HCl released after 30 and 240 minutes were selected for evaluation of drug release, while tensile strength was used as indicator of tablet mechanical properties. Only proportion of tramadol HCl exhibits statistically significant effect on percentages of tramadol HCl released after 30 and 240 minutes, with higher, wherein increasing of the tramadol HCl proportion increased its release rate among the evaluated variables in selected ranges. All of the investigated factors exhibit statistically significant effect on tablets tensile strength, with the largest influence of filler type. Tablets prepared with highly compressible filler (microcrystalline celullose) exhibit higher tensile strength and therefore better mechanical properties to those prepared with partially pregelatinised starch (Strach 1500). [Projekat Ministarstva nauke Republike Srbije, br. TR 34007]

Poor solubility is one of the key reasons for the poor bioavailability of these drugs. This paper displays a formulation of a solid surfactant system with carbamazepine, in order to increase its dissolution rate. Solid state surfactant systems are formed by application of fractal experimental design. Poloxamer 237 and Poloxamer 338 were used as surfactants and Brij® 35 was used as the co-surfactant. The ratios of the excipients and carbamazepine were varied and their effects on the dissolution rate of carbamazepine were examined. Moreover, the effects of the addition of natural (diatomite) and a synthetic adsorbent carrier (Neusiline UFL2) on the dissolution rate of carbamazepine were also tested. The prepared surfactant systems were characterized and the influence of the excipients on possible changes of the polymorphous form of carbamazepine examined by application of analytical techniques (DSC, TGA, FT-IR, PXRD). It was determined that an appropriate selection of the excipient type and ratio could provide a significant increase in the carbamazepine dissolution rate. By application of analytical techniques, it was found that that the employed excipients induce a transition of carbamazepine into the amorphous form and that the selected sample was stable for three months, when kept under ambient conditions. [Projekat Ministarstva nauke Republike Srbije, br. TR34007]

Background/Aim. Parenteral nutrition as a specific aspect of providing nutritients still remains a permanent topic of both theoretical and experimental research. Total parenteral nutrition (TPN) admixtures have complex contents making difficult to maintain their stability. The most critical parameter is the diameter of a lipid droplet, i.e. droplet size distribution. It is recommended that droplet size should not be more than 5

This article presents the possibility of using of multiple regression analysis (MRA) and dynamic neural network (DNN) for prediction of stability of Hydrocortisone 100 mg (in a form of hydrocortisone sodium succinate) freeze-dried powder for injection packed into a dual chamber container. Degradation products of hydrocortisone sodium succinate: free hydrocortisone and related substances (impurities A, B, C, D and E; unspecified impurities and total impurities) were followed during stress and formal stability studies. All data obtained during stability studies were used for in silico modeling; multiple regression models and dynamic neural networks as well, in order to compare predicted and observed results. High values of coefficient of determination (0.950.99) were gained using MRA and DNN, so both methods are powerful tools for in silico stability studies, but superiority of DNN over mathematical modeling of degradation was also confirmed.

In order to achieve fast release of ibuprofen, slightly soluble model substance (0.52104 mol/l), surfactant systems for oral use with different PEG-40 hydrogenated castor oil (C)/diethylene glycol monoethyl ether (T) ratios were investigated. Comparison between dissolution profiles for ibuprofen from formulated systems and from two commercial products, film tablets and soft capsules, is presented in this paper. Photon correlation spectroscopy has shown that after high dilution with water, surfactant systems were able to form micellar solutions. The size of micelles varies from 14.8 ± 0,075 nm to 16.2 ± 0,021 nm with increasing C/T ratio from 1:2 to 2:1. Although with increasing content of PEG-40 hydrogenated castor oil larger micelles have formed, lower values of polydispersity index indicated that more homogeneous distribution of micelles size was gained. Conductometric analysis has demonstrated that system composing of C/T ratio 2:1, has shown most pronounced interaction between droplets, which can be seen as high rise of electrical conductivity with increasing water content (% (wwater/wtotal)) in the sample. No significant difference in percolation threshold between formulations with different C/T ratios was observed. Different surfactant systems were adsorbed on magnesium aluminometasilicate, as adsorbent with high specific active surface (≈300 m2/g), in order to investigate potential influence of adsorbent on ibuprofen dissolution rate. Formulated systems, with or without adsorbent were filled in hard gelatin capsules. The dissolution profiles of ibuprofen from different formulations were obtained in 30 minutes by dissolution apparatus with rotating baskets and compared with dissolution profiles of ibuprofen from commercial products. For formulations without adsorbent faster release of ibuprofen in first minutes of dissolution test, showed formulations with C/T ratio 2:1 and 1:1. Magnesium aluminometasilicate, as adsorbent with high specific surface area, significantly improved release rate of ibuprofen from formulation with C/T ratio 2:1, but, for formulation with C/T ratio 1:1, significantly lower release of ibuprofen was observed. Formulations with other C/T ratios in terms of fast ibuprofen release did not give satisfying results. Obtained results show that in comparison to dissolution profile of ibuprofen from commercial products proper C/T ratio as well as magnesium aluminometasilicate, as adsorbent with high specific surface area, can significantly increase release of ibuprofen.

This article has been retracted at the request of the authors. The retraction has been made because the authors admitted that they took the text and rawings from the review article written by R. Rowe and E. Colbourn, Future Medicinal Chemistry 1(4) (2009) 713-726, without their permission and even did not include this article in the list of references. One of the conditions of submission of a paper for publication are that authors confirm that their work is entirely originally written, someone else’s data and/or text are appropriately cited or quoted and permission has been obtained for use of copyrighted material from other sources. Therefore, the retracted article represents a severe improperly usage of the scientific publishing system. Apologies are offered to readers of the Chem. Ind. Chem. Eng. Q. that this abuse was not detected during the submission process. Link to the retracted article 10.2298/CICEQ0904227I

Co-processing (CP) provides superior properties to excipients and has become a reliable option to facilitated formulation and manufacturing of variety of solid dosage forms. Development of directly compressible formulations with high doses of poorly flowing/compressible active pharmaceutical ingredients, such as paracetamol, remains a great challenge for the pharmaceutical industry due to the lack of understanding of the interplay between the formulation properties, process of compaction, and stages of tablets' detachment and ejection. The aim of this study was to analyze the influence of the compression load, excipients' co-processing and the addition of paracetamol on the obtained tablets' tensile strength and the specific parameters of the tableting process, such as (net) compression work, elastic recovery, detachment, and ejection work, as well as the ejection force. Two types of neural networks were used to analyze the data: classification (Kohonen network) and regression networks (multilayer perceptron and radial basis function), to build prediction models and identify the variables that are predominantly affecting the tableting process and the obtained tablets' tensile strength. It has been demonstrated that sophisticated data-mining methods are necessary to interpret complex phenomena regarding the effect of co-processing on tableting properties of directly compressible excipients.

The aim of this work was to investigate effects of the formulation factors on tablet printability as well as to optimize and predict extended drug release from cross-linked polymeric ibuprofen printlets using an artificial neural network (ANN). Printlets were printed using digital light processing (DLP) technology from formulations containing polyethylene glycol diacrylate, polyethylene glycol, and water in concentrations according to D-optimal mixture design and 0.1% w / w riboflavin and 5% w/w ibuprofen. It was observed that with higher water content longer exposure time was required for successful printing. For understanding the effects of excipients and printing parameters on drug dissolution rate in DLP printlets two different neural networks were developed with using two commercially available softwares. After comparison of experimental and predicted values of in vitro dissolution at the corresponding time points for optimized formulation, the R 2 experimental vs. predicted value was 0.9811 (neural network 1) and 0.9960 (neural network 2). According to difference f 1 and similarity factor f 2 ( f 1 = 14.30 and f 2 = 52.15) neural network 1 with supervised multilayer perceptron, backpropagation algorithm, and linear activation function gave a similar dissolution profile to obtained experimental results, indicating that adequate ANN is able to set out an input-output relationship in DLP printing of pharmaceutics., Competing Interests: The authors declare no conflict of interest

Due to the fact that the number of new poorly soluble active pharmaceutical ingredients is increasing, it is important to investigate the possibilities of improvement of their solubility in order to obtain a final pharmaceutical formulation with enhanced bioavailability. One of the strategies to increase drug solubility is the inclusion of the APIs in cyclodextrins. The aim of this study was to investigate the possibility of aripiprazole solubility improvement by inclusion in (2-hydroxy)propyl-β-cyclodextrin (HPBCD) and simultaneous manipulation of pH of the medium and addition of polyvinylpyrrolidone. Aripiprazole-HPBCD complexes were prepared by spray drying aqueous drug-HPBCD solutions, and their properties were compared with those prepared by solvent-drop co-grinding and physical mixing. The obtained powders were characterized by thermoanalytical methods (TGA and DSC), FTIR spectroscopy, their dissolution properties were assessed, while the binding of aripiprazole into the cavity of HPBCD was studied by molecular docking simulations. The solubilization capacity was found to be dependent on pH as well as the buffer solution's ionic composition. The presence of PVP in the formulation could affect the solubilization capacity significantly, but further experimentation is required before its effect is fully understood. On the basis of solubility studies, the drug/HPBCD stoichiometry was found to be 1:3. The spray-dried products were free of crystalline aripiprazole, they possessed higher solubility and dissolution rate, and were stable enough over a prolonged period of storage. Spray drying of cyclodextrin solutions proved to be an appropriate and efficient technique for the preparation of highly soluble inclusion compounds of aripiprazole and HPBCD.

The aim of this study was to develop a drug-specific absorption model for gliclazide (GLK) using mechanistic gastrointestinal simulation technology (GIST) implemented in GastroPlus(TM) software package. A range of experimentally determined, in silico predicted or literature data were used as input parameters. Experimentally determined pH-solubility profile was used for all simulations. The human jejunum effective permeability (P (eff)) value was estimated on the basis of in vitro measured Caco-2 permeability (literature data). The required PK inputs were taken from the literature. The results of the simulations were compared with actual clinical data and revealed that the GIST-model gave accurate prediction of gliclazide oral absorption. The generated absorption model provided the target in vivo dissolution profile for in vitro-in vivo correlation and identification of biorelevant dissolution specification for GLK immediate-release (IR) tablets. A set of virtual in vitro data was used for correlation purposes. The obtained results suggest that dissolution specification of more than 85% GLK dissolved in 60 min may be considered as "biorelevant" dissolution acceptance criteria for GLK IR tablets., (© 2010 American Association of Pharmaceutical Scientists)