Formulation development and evaluation of a novel bi-dependent clarithromycin gastroretentive drug delivery system using Box-Behnken design

A Rational Approach to Predicting Immediate Release Formulation Behavior in Multiple Gastric Motility Patterns: A Combination of a Biorelevant Apparatus, Design of Experiments, and Machine Learning

Gastric mechanical stress often impacts drug dissolution from solid oral dosage forms, but in vitro experiments cannot recreate the substantial variability of gastric motility in a reasonable time. This study, for the first time, combines a novel dissolution apparatus with the design of experiments (DoE) and machine learning (ML) to overcome this obstacle. The workflow involves the testing of soft gelatin capsules in a set of fasted-state biorelevant dissolution experiments created with DoE. The dissolution results are used by an ML algorithm to build the classification model of the capsule's opening in response to intragastric stress (IS) within the physiological space of timing and magnitude. Next, a random forest algorithm is used to model the further drug dissolution. The predictive power of the two ML models is verified with independent dissolution tests, and they outperform a polynomial-based DoE model. Moreover, the developed tool reasonably simulates over 50 dissolution profiles under varying IS conditions. Hence, we prove that our method can be utilized for the simulation of dissolution profiles related to the multiplicity of individual gastric motility patterns. In perspective, the developed workflow can improve virtual bioequivalence trials and the patient-centric development of immediate-release oral dosage forms.

A Brief Introduction to Chemical Reaction Optimization

From the start of a synthetic chemist's training, experiments are conducted based on recipes from textbooks and manuscripts that achieve clean reaction outcomes, allowing the scientist to develop practical skills and some chemical intuition. This procedure is often kept long into a researcher's career, as new recipes are developed based on similar reaction protocols, and intuition-guided deviations are conducted through learning from failed experiments. However, when attempting to understand chemical systems of interest, it has been shown that model-based, algorithm-based, and miniaturized high-throughput techniques outperform human chemical intuition and achieve reaction optimization in a much more time- and material-efficient manner; this is covered in detail in this paper. As many synthetic chemists are not exposed to these techniques in undergraduate teaching, this leads to a disproportionate number of scientists that wish to optimize their reactions but are unable to use these methodologies or are simply unaware of their existence. This review highlights the basics, and the cutting-edge, of modern chemical reaction optimization as well as its relation to process scale-up and can thereby serve as a reference for inspired scientists for each of these techniques, detailing several of their respective applications.

Polymeric Excipients in the Technology of Floating Drug Delivery Systems

The combination of targeted transport and improvement of the release profile of the active pharmaceutical ingredient (API) is a current trend in the development of oral medicinal products (MP). A well-known way to implement this concept is to obtain floating gastroretentive delivery systems that provide a long stay of the dosage form (DF) on the surface of the stomach contents. The nomenclature of excipients (Es) of a polymeric nature used in the technology of obtaining floating drug delivery systems (FDDS) is discussed. Based on the data presented in research papers, the most widely used groups of polymers, their properties, and their purpose in various technological approaches to achieving buoyancy have been determined. In addition, ways to modify the release of APIs in these systems and the Es used for this are described. The current trends in the use of polymers in the technology of floating dosage forms (FDF) and generalized conclusions about the prospects of this direction are outlined.

Preparation and Characterization of pH-Independent Sustained-Release Tablets Containing Hot Melt Extruded Solid Dispersions of Clarithromycin : Tablets Containing Solid Dispersions of Clarithromycin

The limited solubility of clarithromycin (CAM), coupled with low bioavailability and rapid elimination, are major shortcomings, needed to be addressed to achieve optimum therapeutic goals. Therefore, sustained-release (SR) tablets containing solid dispersion (SD) granules of CAM were prepared in this study. Initially, SD granules of CAM were prepared by hot melt extrusion (HME) technique using Kollidon VA64 as a hydrophilic carrier. The saturation solubility of SD showed almost 4.5-fold increase as compared to pure CAM in pH 6.8 medium. In vitro drug dissolution data indicated a substantial increase in the dissolution of SD as compared to that of pure CAM. The thermal stability of drug, carrier, and SD at elevated HME temperatures was evident from the results of thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC). Powder X-ray diffraction (PXRD) data and scanning electron microscope (SEM) images revealed a decrease in the crystallinity and the uniform dispersion of drug, respectively. Moreover, Fourier transformed infrared spectroscopy (FT-IR) data confirmed the formation of hydrogen bond between the carbonyl group of drug and the hydroxyl group of carrier. SD loaded sustained-release (SD-SR) matrix tablets were prepared with hydrophobic polymers (Eudragit RS100 and Eudragit RL100). The pH-independent swelling and permeability of both polymers were responsible for the sustained drug release from SD-SR tablets. Pharmacokinetic (PK) studies suggested a 3.4-fold increase in the relative bioavailability of SD-SR tablets as compared to that of pure CAM.

Preparation of High-Drug-Loaded Clarithromycin Gastric-Floating Sustained-Release Tablets Using 3D Printing

The high-drug-loaded sustained-release gastric-floating clarithromycin (CAM) tablets were proposed and manufactured via semisolid extrusion (SSE)-based 3D printing. The physical and mechanical properties, such as dimensions, weight variation, friability, and hardness, were accessed according to the quality standards of Chinese Pharmacopoeia (Ch.P). The interactions among the drug-excipients were evaluated via differential scanning calorimetry (DSC), Fourier-transform infrared spectroscopy (FTIR), and X-ray diffraction (XRD) techniques. Next, the rheological properties of the paste and the effect of the excipients and solvents were evaluated. Finally, a very high drug-loading of up to 81.7% (w/w) with the sustain release time of 8 h (125 mg) and 12 h (250 mg) was achieved. The results revealed the potential of SSE for achieving a high drug loading and identified the suitable properties of the paste for SSE-based 3D printing.