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The incidence of type 2 diabetes has risen globally, in parallel with the obesity epidemic and environments promoting a sedentary lifestyle and low-quality diet. There has been scrutiny of ultra-processed foods (UPFs) as a driver of type 2 diabetes, underscored by their increasing availability and intake worldwide, across countries of all incomes. This narrative review addresses the accumulated evidence from investigations of the trends in UPF consumption and the relationship with type 2 diabetes incidence.

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Freeze drying is one of the common methods to extend the long-term stability of biologicals. Biological products in solid form have the advantages of convenient transportation and stable long-term storage. However, long reconstitution time and extensive visible bubbles are frequently generated during the reconstitution process for many freeze-dried protein formulations, which can potentially affect the management efficiency of staff, patient compliance, and product quality.

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In addition to the known therapeutic indications for cannabidiol, its administration by inhalation appears to be of great interest. Indeed, there is evidence of cannabidiol's efficacy in several physiological pathways, suggesting its potential for a wide range of applications for both local and systemic pulmonary administration like cancers. Significant advances in pulmonary drug delivery have led to innovative strategies to address the challenges of increasing the respirable fraction of drugs and standardizing inhalable products.

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Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization.

Sci Rep

January 2025

Department of Oral & Maxillofacial Surgery and Diagnostic Sciences, Faculty of Dentistry, Taif University, 21944, Taif, Saudi Arabia.

This study investigates the use of machine learning models to predict solubility of rivaroxaban in binary solvents based on temperature (T), mass fraction (w), and solvent type. Using a dataset with over 250 data points and including solvents encoded with one-hot encoding, four models were compared: Gradient Boosting (GB), Light Gradient Boosting (LGB), Extra Trees (ET), and Random Forest (RF). The Jellyfish Optimizer (JO) algorithm was applied to tune hyperparameters, enhancing model performance.

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Microencapsulation using a novel wall material prepared via Maillard reaction-derived mung bean protein-peach gum conjugates to enhance stability and functionality of chia seed oil.

Int J Biol Macromol

January 2025

State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, PR China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, PR China. Electronic address:

This study investigated the potential of Maillard reaction products (MRPs) derived from mung bean protein isolate (MBPI) and peach gum (PG) conjugates as wall materials for microencapsulating chia seed oil (CSO). Four formulations (MMRP) were prepared using spray-drying and compared to a commercial sample (CMMRP). The MMRP formulation exhibited the highest encapsulation yield (91 %) and encapsulation efficiency (96 %), along with favorable physical properties, including a spherical shape and smooth surface.

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