How machine learning can accelerate electrocatalysis discovery and optimization

Advances in machine learning (ML) provide the means to bypass bottlenecks in the discovery of new electrocatalysts using traditional approaches. In this review, we highlight the currently achieved work in ML-accelerated discovery and optimization of electrocatalysts via a tight collaboration between computational models and experiments. First, the applicability of available methods for constructing machine-learned potentials (MLPs), which provide accurate energies and forces for atomistic simulations, are discussed. Meanwhile, the current challenges for MLPs in the context of electrocatalysis are highlighted. Then, we review the recent progress in predicting catalytic activities using surrogate models, including microkinetic simulations and more global proxies thereof. Several typical applications of using ML to rationalize thermodynamic proxies and predict the adsorption and activation energies are also discussed. Next, recent developments of ML-assisted experiments for catalyst characterization, synthesis optimization and reaction condition optimization are illustrated. In particular, the applications in ML-enhanced spectra analysis and the use of ML to interpret experimental kinetic data are highlighted. Additionally, we also show how robotics are applied to high-throughput synthesis, characterization and testing of electrocatalysts to accelerate the materials exploration process and how this equipment can be assembled into self-driven laboratories.

Jet dispensing of multi-layered films for the co-delivery of three antihypertensive agents

Three-layer thin films comprising of two polymers as substrate (ethyl cellulose and, copovidone K28) and three antihypertensive agents (hydrochlorothiazide, amiloride HCl, and carvedilol) were printed using jet dispensing technology. Two film formulations with different ethyl cellulose to copovidone K28 ratio (i.e., 90/10 and 50/50 w/w) were prepared using a three-course dispensing. The films were characterized regarding surface morphology, solid-state properties, polymer-drug interactions, drug distribution in each layer, and in vitro drug release. All the components of the films were found to be in the amorphous state apart from hydrochlorothiazide which retained its crystallinity. FT-IR spectroscopy revealed hydrogen bond interactions between carvedilol and copovidone K28. Combinations of ethyl cellulose and copovidone K28 provide suitable polymeric film substrates with the ability to modify drug release. Particularly, decreased ethyl cellulose to copovidone K28 weight ratio was found to suppress the crystallization of hydrochlorothiazide and to increase the release rate of the dispensed drugs. Jet dispensing was found to be a rapid technology for the preparation of multi-layered films that can be used as personalized formulations for the delivery of combinations of drugs.

Feasibility of electrospray deposition for rapid screening of the cocrystal formation and single step, continuous production of pharmaceutical nanococrystals

OBJECTIVES

This study employed electrospray deposition (ESD) for simultaneous synthesis and particle engineering of cocrystals.

SIGNIFICANCE

Exploring new methods for the efficient production of cocrystals with desired particle properties is an essential demand.

METHODS

The possibility of cocrystal formation by ESD was examined for indomethacin-saccharin, indomethacin-nicotinamide, naproxen-nicotinamide, and naproxen-iso-nicotinamide cocrystals. Solutions of the drug and coformer at stoichiometric ratios were sprayed to a high electric field which caused rapid evaporation of the solvent and the formation of fine particles. The phase purity, size, and morphology of products were compared with reference cocrystals. Experiments were performed to evaluate the effects of stoichiometric ratio, concentration and solvent type on the cocrystal formation. Physical stability and dissolution properties of the electrosprayed cocrystals were also compared with reference cocrystals.

RESULTS

ESD was found to be an efficient and rapid method to produce cocrystals for all studied systems other than indomethacin-nicotinamide. Pure cocrystals only formed at a specific drug:coformer ratio. The solvent type has a weak effect on the cocrystal formation and morphology. Electrosprayed cocrystals exhibited nano to micrometer sizes with distinct morphologies with comparable physical stability with reference cocrystals. Nanococrystals of indomethacin-saccharin with a mean size of 219 nm displayed a threefold higher dissolution rate than solvent evaporated cocrystal.

CONCLUSION

ESD successfully was utilized to produce pure cocrystals of poorly soluble drugs with different morphologies and sizes ranging from nano to micrometer sizes in one step. This study highlighted the usefulness of ESD for simultaneous preparation and particle engineering of pharmaceutical cocrystals.

Advanced methodologies for cocrystal synthesis

Pharmaceutical cocrystals are multicomponent systems composed of two or more molecules and held together by H-bonding. Currently, cocrystals provide exciting opportunities in the pharmaceutical industry for the development and manufacturing of new medicines by improving poor physical properties of Active Pharmaceutical Ingredients (APIs) such as processability, solubility, stability and bioavailability. According to the recent reclassification, cocrystals are considered as drug polymorph rather a new API which has a significant impact on drug development, regulatory submissions and intellectual property protection. This review summarizes recent trends and advances in synthesis, manufacturing and scale - up of cocrystals. The operational principles of several cocrystals manufacturing technologies are discussed including their advantages and disadvantages in terms of crystal quality, purity stability, throughput and limitations in large scale production.