Optimizing wastewater treatment through artificial intelligence: recent advances and future prospects.

Artificial intelligence (AI) is increasingly being applied to wastewater treatment to enhance efficiency, improve processes, and optimize resource utilization. This review focuses on objectives, advantages, outputs, and major findings of various AI models in the three key aspects: the prediction of removal efficiency for both organic and inorganic pollutants, real-time monitoring of essential water quality parameters (such as pH, COD, BOD, turbidity, TDS, and conductivity), and fault detection in the processes and equipment integral to wastewater treatment. The prediction accuracy (R2 value) of AI technologies for pollutant removal has been reported to vary between 0.64 and 1.00. A critical aspect explored in this review is the cost-effectiveness of implementing AI systems in wastewater treatment. Numerous countries and municipalities are actively engaging in pilot projects and demonstrations to assess the feasibility and effectiveness of AI applications in wastewater treatment. Notably, the review highlights successful outcomes from these initiatives across diverse geographical contexts, showcasing the adaptability and positive impact of AI in revolutionizing wastewater treatment on a global scale. Further, insights on the ethical considerations and potential future directions for the use of AI in wastewater treatment plants have also been provided.

Phloridzin's Diabetic Wound Healing Potential through DPP-4 Enzyme Inhibition: A Review Article.

Diabetic wound healing is a dynamic medical process that takes place in an environment within the body that is complex and contains elevated sugar levels, oxygen deprivation, and cellular oxidative stress. Phloridzin (Phlorizin) is one of the most well-known polyphenols found in apples because of its anti-inflammatory, antioxidant, antibacterial, antidiabetic, and antiseptic properties; it can also play a significant part in the healing of diabetic wounds. The study aimed to investigate the role of phloridzin as an efficient DPP-4 inhibitor with additional therapeutic effects in diabetic wound healing, as Dipeptidyl Peptidase-4 (DPP-4) expression increases in response to increases in glucose, Reactive Oxygen Species (ROS), and inflammation. Phloridzin inhibiting DPP-4 preserves Stromal cell-derived Factor-1α (SDF-1α), Insulin-like Growth Factor (IGF), and Glucagon-like Peptide-1 (GLP-1), which are possible DPP-4 substrates involved in wound healing. The accessible material from systemic searches in PubMed, Scopus, and published articles was reviewed with no period of limitation. The in silico study showed strong binding of phloridzin with DPP-4 protein (2P8S); also, in vitro DPP-4 inhibition assay has shown better inhibition by phloridzin. This study offers new research directions for examining phloridzin's capacity to withstand oxidative stress, as well as for redefining its tactical function as a powerful DPP-4 inhibitor to regulate the process involved in the healing of diabetic wounds.

Cyclodextrin Nanosponges: A Revolutionary Drug Delivery Strategy.

Nanosponges are porous solid cross-linked polymeric nanostructures. This study focuses on cyclodextrin-based nanosponges. Nanosponges based on cyclodextrin can form interactions with various lipophilic or hydrophilic compounds. The release of the entrapped molecules can be altered by altering the structure to obtain either a longer or faster release kinetics. The nanosponges might increase the aqueous solubility of weakly water-soluble compounds, develop long-lasting delivery systems, or construct novel drug carriers for nanomedicine. CD-NS (cyclodextrin-based nanosponges) are evolving as flexible and promising nanomaterials for medication administration, sensing, and environmental cleanup. CD-NS are three-dimensional porous structures of cyclodextrin molecules cross-linked by a suitable polymeric network, resulting in a large surface area. This overview covers CD-NS synthesis methods and applications.