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Precisely engineered magnetic nanoparticles (MNPs) have been widely explored for applications including theragnostic platforms, drug delivery systems, biomaterial/device coatings, tissue engineering scaffolds, performance-enhanced therapeutic alternatives, and even in SARS-CoV-2 detection strips. Such popularity is due to their unique, challenging, and tailorable physicochemical/magnetic properties. Given the wide biomedical-related potential applications of MNPs, significant achievements have been reached and published (exponentially) in the last five years, both in synthesis and application tailoring. Within this review, and in addition to essential works in this field, we have focused on the latest representative reports regarding the biomedical use of MNPs including characteristics related to their oriented synthesis, tailored geometry, and designed multibiofunctionality. Further, actual trends, needs, and limitations of magneticbased nanostructures for biomedical applications will also be discussed.

To describe the nationwide impact of a restrictive law on over-the-counter sales of antimicrobial drugs, implemented in Brazil in November 2010.Approximately 75% of the population receives healthcare from the public health system and receives free-of-charge medication if prescribed. Total sales in private pharmacies as compared with other channels of sales of oral antibiotics were evaluated in this observational study before and after the law (2008–2012). Defined daily dose per 1000 inhabitants per day (DDD/TID) was used as standard unit.In private pharmacies the effect of the restrictive law was statistically significant (P < 0.001) with an estimated decrease in DDD/TID of 1.87 (s.e. =  0.18). In addition, the trend of DDD/TID before the restrictive law was greater than after the intervention (P < 0.001). Before November 2010, the slope for the trend line was estimated as 0.08 (s.e. = 0.01) whereas after the law, the estimated slope was 0.03 (s.e. = 0.01). As for the nonprivate channels, no difference in sales was observed (P = 0.643). The impact in the South and Southeast (more developed) regions was higher than in the North, Northeast, and Mid-West. The state capitals had a 19% decrease, compared with 0.8% increase in the rest of the states.Before the law, the sales of antimicrobial drugs were steadily increasing. From November 2010, with the restrictive law, there was an abrupt drop in sales followed by an increase albeit at a significantly lower rate. The impact was higher in regions with better socio-economic status.

The supramolecular interactions between Imipramine hydrochloride (IMI), a tricyclic antidepressant, and beta-cyclodextrin (betaCD) have been investigated by experimental techniques and theoretical calculations. The association between these molecules might be lead to a host/guest compound, in which the physical chemistry properties of the guest molecule, such as high solubility, can be decreased. These new properties acquired by the inclusion phenomena are important to develop a strategy for pharmaceutical formulation. Nuclear magnetic resonance and horizontal attenuated total reflectance provided relevant information on the complex stoichiometries and the sites of interactions between the host and guest molecules. Stoichiometries of 1:2, 1:1, and 2:1 betaCD/IMI have been detected in solution. Self-diffusion coefficient and dynamic light scattering analysis provided information on the self-aggregation of the complex. Also, isothermal titration calorimetry studies indicated the existence of equilibrium between different complexes in solution. In order to determine the preferred arrangement for the inclusion complex formed by the IMI molecule and betaCD, theoretical calculations were performed. Of all proposed supramolecular structures, the 2:1 betaCD/IMI complex was calculated to be the most energetically favorable, in both gas and aqueous phases. The calculations indicated that the intermolecular hydrogen bonds involving the hydroxyl groups of betaCD play a major role in stabilizing the supramolecular 2:1 structure, corroborating experimental findings.