Comparative chemical examination of inclusion complexes formed with β-cyclodextrin derivatives and basic amino acids

In this study, we have investigated the host-guest inclusion complexes between β-cyclodextrin (βCD), 2-hydroxypropyl-β-cyclodextrin (2-HPβCD), and mono-6-tosyl-β-cyclodextrin (TS-βCD) excipients and two amino acids, such as L-arginine (L-Arg) and L-lysine (L-Lys). The formation of inclusion complexes was detected, and a comparative study was conducted at different pH, density, and viscosity. A physical mixture, comprising equal amount of amino acids was used to prepare the complex in a solid-state form. The experimental parameters, such as apparent molar volume, limiting apparent molar volume, partial molar volume were analyzed by measuring density at infinite dilution. The other quantities, such as dynamic viscosity, kinematic viscosity, relative viscosity, intrinsic viscosity, spatial viscosity, activation energy were determined for amino acid/βCD complexes at various mass fractions of βCDs and different temperatures. Finally, we found moderate (R² > 0.5) and strong (R² > 0.7) linear relationships (p-value < 0.0001) between the dynamic viscosity and the temperature: the temperature evaluation promotes the decrease in dynamic viscosity for amnio acid-βCD (its derivatives) complexes. The results of this study emphasize important properties of analyzed complexes that can be utilized in the development of controlled drug delivery vectors.

COVID-19 infection in Hokkaido, Japan might depend on the viscosity of atmospheric air

BACKGROUND

The large number of people infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has plunged the world into fear in recent times. In Japan, 18,769 novel coronavirus disease 2019 (COVID-19) cases have been reported as of June 30, 2020. This study aimed to assess whether cluster infection prevention is possible by evaluating the association between viral transmission and meteorological factors.

METHODS

This study included 1263 people who were successively diagnosed with COVID-19 in Hokkaido, Japan between January 24, 2020 and June 30, 2020. After obtaining the values from the Japanese Meteorological Agency, the average scores of air temperature and humidity were calculated and compared with COVID-19 reproduction numbers, and the association between COVID-19 incidence or reproduction number and meteorological factors was assessed.

RESULTS

The COVID-19 reproduction number in Hokkaido had three peaks that came several days before the surge in COVID-19 cases. The peaks are indicative of cluster infections. There was a strong negative correlation between the kinematic viscosity of atmospheric air and the reproduction number.

DISCUSSION AND CONCLUSION

Analysis of the reproduction number is important for predicting or suppressing COVID-19 infection clusters. The authors found a strong association between meteorological factors, such as kinematic viscosity of atmospheric air and the incidence of COVID-19 infection. Meteorological forecasts could provide foreknowledge about COVID-19 infection clusters in the future.

Probing inclusion complexes of 2-hydroxypropyl-β-cyclodextrin with mono-amino mono-carboxylic acids: physicochemical specification, characterization and molecular modeling

Density (ρ), viscosity (η) and surface tension (γ) of three amino acids (valine, alanine, and glycine) have been measured at a different mass fraction (0.002 - 0.009) of aqueous hydroxypropyl-β-cyclodextrin (HPβCD) mixtures and different temperatures (278.15 - 295.15 K). The formation of inclusion complexes has been analyzed via evaluating the amounts of apparent and limiting apparent molar volumes, limiting apparent molar expansibilities, activation energy, kinematic, relative, intrinsic, spatial, and dynamic viscosities. The surface tension studies indicated that the inclusion complexes have been formed with 1:1 stoichiometry and mediated by hydrophobic effects and electrostatic forces. Additionally, the ρ and η parameters were evaluated by molecular modeling experiments to provide more details on the mechanisms of the complexation.

Single-shot velocity mapping by rewinding of velocity encoding with Echo-Planar Imaging

The ability of single-shot NMR imaging methods to follow the time evolution of a velocity distribution within an object is strongly limited by the phase errors accumulated as velocity maps are acquired. In the particular case of Carr-Purcell based sequences combined with Echo Planar Imaging acquisition, phase accumulates through subsequent images, hampering the possibility to acquire several velocity maps, which would be useful to determine transient behavior. In this work, we propose the use of a rewinding velocity encoding module applied after the acquisition of each image during the CPMG echo train. In this way, the first velocity module imparts a velocity dependent phase prior to the image acquisition and the second pair cancels this phase out before the next refocusing radiofrequency pulse is applied. The performance and limits of this method are studied by acquiring 100 images of a co-rotating Couette cell over a period of 1.6 s as a function of the rotation speed. The method is applied to determine the kinematic viscosity of a water/alcohol mixture, which is a relevant topic in many physical, chemical and biological processes.

Effect of kinematic viscosity on the staining performance of caries detector dyes

The relationship between performance of caries detector dyes and solvent molecular weight has been reported, but viscosity has not yet been investigated. Therefore, using extracted human teeth, we compared 6 experimental caries detector dyes with different viscosities to clarify the relationship between dye viscosity and staining performance in sclerotic dentin. Carious dentin started showing dentin staining when stained with caries detector dyes with kinematic viscosity≥263 mm²/s, showed no immunoreactivity for Streptococcus mutans on immunohistochemistry, and contained dentinal tubules free of debris on scanning electron microscopy. Samples stained using a caries detector dye with kinematic viscosity of 332 mm²/s contained calcification product-like debris in the dentinal tubules. These findings suggest that the caries detector dye has a threshold kinematic viscosity between 263 and 332 mm²/s at which sclerotic dentin and tissues beyond are not stained. The caries detector dye appears to control tooth dyeability based on solvent viscosity.