Various stresses and strains are generated on the surface and inside of pharmaceutical tablets when an external force is applied. In addition, stresses in various directions can remain on the surface and inside the tablets because they are generally prepared by compaction of pharmaceutical powders using dies and punches. As it is difficult to measure the stress and strain generation in the tablets experimentally, a numerical simulation was applied by employing a finite element method (FEM). An elastic model is often used to represent stress and strain generation after loading an external force to tablets, and the Drucker–Prager cap (DPC) model has been widely recognized for representing the remaining stress distributions during the compaction of powder to tablet form. Firstly, this article describes an FEM simulation of the stress generation on the surface of the scored tablets after loading the bending force from the back side of the tablets. Next, the FEM simulation was introduced to determine the effect of diametrical compression on the stress and strain generation in the tablets by comparing the results measured experimentally. Furthermore, the residual stresses remaining inside the tablets were simulated using FEM, in which powder compaction was represented as the DPC model. A clear difference was observed in the residual stress distributions between the flat and convex tablets. This indicates that FEM simulation is useful for achieving a science-based understanding of critical quality attributes in various types of tablets.

Drug discovery is researched and developed through many processes, but its overall success rate is extremely low, requiring a very long period of development and considerable costs. Clearly, there is a need to reduce research and development costs by improving the probability of success and increasing process efficiency. One promising approach to this challenge is so-called “in silico drug discovery,” which is drug discovery utilizing information and communications technologies (ICT) such as artificial intelligence (AI) and molecular simulation. In recent years, ICT-based science and technology, such as bioinformatics, systems biology, cheminformatics, and molecular simulation, which have been developed mainly in the life science and chemistry fields, have changed the face of drug development. AI-based methods have been developed in the drug discovery process, mainly in relation to drug target discovery and pharmacokinetic analysis. In drug target discovery, an in silico method has been developed that uses a probabilistic framework that eliminates the problems of conventional experimental approaches and provides a key to understanding the pathways and mechanisms from compounds to phenotypes. In the field of pharmacokinetic analysis, we have seen the development of a method using nonclinical data to predict human pharmacokinetic parameters, which are important for predicting drug efficacy and toxicity in clinical trials. In this article, we provide an overview of these methods.

The purpose of this study was to develop a model for predicting tablet properties after an accelerated test and to determine whether molecular descriptors affect tablet properties. Tablets were prepared using 81 types of active pharmaceutical ingredients, with the same formulation and three different levels of compression pressure. The tablet properties measured were the tensile strength and disintegration time of tablets after two weeks of accelerated test. The material properties measured were the change in tablet thickness before and after the accelerated test, maximum swelling force, swelling time, and swelling rate. The acquired data were added to our previously constructed database containing a total of 20 material properties and 3381 molecular descriptors. The feature importance values of molecular descriptors, material properties and the compression pressure for each tablet property were calculated by random forest, which is one type of machine learning (ML) that uses ensemble learning and decision trees. The results showed that more than half of the top 25 most important features were molecular descriptors for both tablet properties, indicating that molecular descriptors are strongly related to tablet properties. A prediction model of tablet properties was constructed by eight ML types using 25 of the most important features. The results showed that the boosted neural network exhibited the best prediction accuracy and was able to predict tablet properties with high accuracy. A data-driven approach is useful for discovering intricate relationships hidden within complex and large data sets and predicting tablet properties after an accelerated test.

Molded tablets are manufactured by molding wet powder at low pressure and drying. Typically, water-soluble polymers are used as a binder; however, the ratio to achieve both tablet strength and rapid disintegration is limited, and designing an optimal formulation according to the active ingredients can be challenging. In addition, production may be temporarily interrupted owing to the adherence of wet powder to the inside of the mortar, which can hamper stable production. Therefore, optimization was performed by design of experiments to utilize the disaccharide trehalose as a binder for molded tablets. We formulated placebo tablets with high tablet strength and rapid disintegration. On examining the tablet interior, we confirmed the formation of solid bridges between particles and high porosity, suggesting that trehalose can be used as a binder for molded tablets. The viscosity of the trehalose saturated solution was lower than that of the polyvinyl alcohol (PVA) solution (3.8 wt%). Moreover, the trehalose formulation exhibited a significantly lower wet powder adhesion rate to the upper punch than the PVA formulation. This study provided valuable results for the future formulation design of molded tablets.

We synthesized a 5,10-bis(trifluoromethyl)tetrabenzoporphyrin copper complex (cis-2CF₃-TBPCu) by first treating 5,10-bis(trifluoromethyl)tetrabutanoporphyrin (cis-2CF₃-TbP) with copper(II) acetate. The subsequent oxidation of the resulting 5,10-bis(trifluoromethyl)tetrabutanoporphyrin copper complex (cis-2CF₃-TbPCu) was achieved using 2,3-dichloro-5,6-dicyano-1,4-benzoquinone (DDQ). The crystal structure of cis-2CF₃-TBPCu exhibited remarkably short N–Cu distances and was extremely nonplanar. Although the exact reason for the occurrence of these features remains unclear, it can possibly be attributed to the coordination of copper ions of +3 valency in the radical anionic ligand.

In planetary centrifugal wet granulation, the binder is often mixed into the formulation as a powder, followed by the addition of a wetting liquid, in a single step. Therefore, the amount and dispersion of the wetting liquid are important factors that determining granulation success and granules characteristics. In this study, granulation experiments, according to the Box–Behnken design, were performed. Further, the effects of equipment parameters, namely, processing speed, processing time, and vessel size, on the minimum amount of wetting liquid required to enable granulation and dispersion state in the vessel were statistically analyzed. Placebo granules were formulated with lactose hydrate and corn starch (7 : 3), using sodium carmellose as a binder. Results showed that the amount of wetting liquid decreased with increase in processing speed, processing time, and vessel size; however, the dispersion state of the wetting liquid was not significantly affected. Analysis of the effects of the equipment parameters on granule characteristics showed that a larger vessel size was proportional to a larger median diameter and smaller particle-size distribution width (span), and a faster processing speed was proportional to a smaller span. Furthermore, granules with the target properties could be prepared according to the parameters estimated from the model. In conclusion, the equipment parameters for controlling the amount of wetting liquid, which affected the granule properties, were clarified.

We have developed a new one-pot disulfide-driven cyclic peptide synthesis. The entire process is carried out in the solid phase, thus eliminating complicated work up procedures to remove by-products and unreacted reagents and enabling production of high-purity cyclic disulfide peptides by simple cleavage of a peptidyl resin. The one-pot synthesis of oxytocin was accomplished in this way with an isolated yield of 28% over 13 steps. These include peptide chain elongation from an initial resin, sulfenylation of the protected side chain of a cysteine (Cys) residue, disulfide ligation between thiols in an additional peptide fragment and a 3-nitro-2-pyridinesulfenyl-protected cysteine (Cys(Npys))-containing peptide resin, subsequent intramolecular amide bond formation of the disulfide-connected fragments by an Ag⁺-promoted thioester method, followed by deprotection and HPLC purification.

Good adherence to medication is critical for successfully treating psychiatric disorders. Tailor-made pharmaceutical formulations can provide a suitable dosage form to meet the specific needs of individual patients who exhibit poor adherence to industrially manufactured products. Herein, we prepared aripiprazole (ARP) gummies (ARP-Gs) using a commercially available ARP formulation. We aimed to clarify the palatability of ARP-Gs by performing a gustatory sensation test in healthy volunteers. We performed two types of organoleptic masking of ARP-Gs, cocoa- and fruit-flavoured gummies (6.0 mg of ARP/3.5 g of gummy), and conducted two different gustatory sensation tests for each ARP-G. Ten young, healthy volunteers (mean ± standard deviation, 23.7 ± 1.2 years) were enrolled in each trial. The overall palatability of ARP-Gs was evaluated using the 100-mm visual analogue scale (VAS). Receiver operating characteristic (ROC) curve analysis was performed between VAS scores of total ARP-G palatability and acceptability assessed using a 5-point rating scale. Among cocoa-flavoured ARP-Gs, those combining aspartame, cocoa powder, and banana flavour (ABC-ARP-G) exhibited the highest VAS scores for total palatability. Similarly, the VAS scores of grapefruit-flavoured ARP-Gs (GF-ARP-G) showed the highest values considering all fruit-flavoured ARP-Gs. The VAS scores for ABC-ARP-G and GF-ARP-G greatly exceeded the cut-off values of acceptability calculated using the ROC curve. We developed two types of ARP-Gs with organoleptic masking as tailor-made pharmaceutical formulations. ABC-ARP-Gs and GF-ARP-Gs could be acceptable in patients. ARP-Gs could be an alternative to currently available pharmaceutical formulations to enhance their adherence and meet the specific needs of individual patients.

Nitric oxide (NO) has multiple physiological activities, including roles in vasorelaxation, neurotransmission, and immune response. Indeed, NO-releasing compounds are utilized as therapeutic agents for cardiovascular diseases based on the potent and rapid vasorelaxation induced by NO. We have developed a series of photoinduced-electron-transfer-driven (PeT-driven) NO releasers composed of a light-harvesting antenna moiety and an NO-releasing N-nitrosoaminophenol moiety, which efficiently release NO upon irradiation with blue (500 nm), green (560 nm), or red (650 nm) light. In this paper, we investigated substituent effects at the 2-position of the N-nitrosoaminophenol moiety by means of spectroscopic, fluorescence, and NO-release measurements. Interestingly, a methyl substituent at this position had no significant effect on the NO-releasing ability, while a nitro group or a methoxy group reduced it. The nitro group may suppress electron transfer to the antenna moiety, while the methoxy group may accelerate electron transfer but suppress deprotonation to afford the phenoxyl radical, which is the key reaction for release of NO. These structure–activity relationships should be helpful for further functionalizing PeT-driven NO releasers.

Two new compounds, named eudesm-4(15),7-diene-3α,9β,11-triol (1) and eudesm-4(15),7-diene-1β,3α,9β,11-tetraol (2) together with three known sesquiterpene lactones (1S,5R,7R,10R)-secoatractylolactone (3), (1S,5R,7R,10R)-secoatractylolactone-11-O-β-D-glucopyranoside (4) atractylenolide III (5) were isolated from the rhizomes of Atractylodes macrocephala. Their structures were elucidated by using one-dimensional (1D) and 2D-NMR spectra and high resolution electrospray ionization (HR-ESI)-MS data. Compound 5 exhibited the most active anti-inflammatory activity with IC₅₀ values of 27.5 µM in inhibiting of nitric oxide production. Compounds 1, 2, and 3 showed moderate effects while compound 4 was inactive.

In pharmaceutics, substandard drug manufacturing can sometimes occur. Usually, end-product release tests are conducted to detect defective products, but in many cases, they are not able to identify the root causes of quality defects. In recent years, chemical imaging techniques have been widely used to study quality defects by visualizing the distribution of components in solid dosage forms. However, in most studies, the causes are predicted from images of ingredients, and the impact of each factor is unclear. In this study, we prepared model tablets and intentionally changed only the distribution of disintegrants, and visualized this distribution using the Raman chemical imaging technique to evaluate the effect on the dissolution behavior of the tablets. We found that tablet disintegration occurs completely when the amount of disintegrant is sufficient to disintegrate the tablet and is distributed throughout the tablet, even if the distribution is not uniform. In contrast, if there was a large area where the disintegrant was not present, the tablet did not disintegrate sufficiently. This suggests that it is more important that a sufficient amount of disintegrant is present throughout the tablet rather than the degree of deviation of disintegrant distribution.

Organic compounds with near-IR (NIR) fluorescence have many potential applications in materials and life sciences, but the much weaker intensity of fluorescence in the NIR region than in the UV-visible region is a major obstacle. Herein we show that deuteration of phthalocyanines, a representative class of organic NIR dyes, increases both the fluorescence quantum yield and the fluorescence lifetime compared with non-deuterated phthalocyanines.

Near-IR (NIR) organic dyes have been widely utilized in life sciences and materials science. Herein we report an unusually large NIR solvatochromism of monohydroxybenziphthalocyanine, an analogue of 18π-electron aromatic phthalocyanine in which a single isoindoline unit is replaced with a phenol ring. The solvatochromism is attributed to deprotonation of the phenol moiety in highly polar solvents, leading to the generation of a strongly NIR-absorptive 18π-electron aromatic quinoidal monoanion.