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This study aimed to investigate the effects of pH on the structural properties and interaction mechanisms of zein/epicatechin gallate (ECG) complexes. QCM-D data demonstrated that the binding capacity of ECG to zein was significantly higher under alkaline condition (pH 9) compared to neutral and acidic conditions ( < 0.05). Molecular docking analysis revealed that the formation of zein/ECG complexes was primarily driven by hydrogen bonds, van der Waals forces, and hydrophobic interactions. Fourier transform infrared spectroscopy indicated changes in secondary structure of zein. Additionally, these structural changes resulted in a decrease in content of free sulfhydryl groups while increasing solubility and antioxidant activity. Furthermore, melting temperature of zein/ECG complexes decreased after treatments at pH 3, 5, and 9, while it increased at pH 1 and 7. These findings underscore the significance of pH in ECG and zein interaction, offering valuable insights for the development of zein/ECG complexes as food additives.
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http://dx.doi.org/10.1016/j.fochx.2024.102028 | DOI Listing |
Macromol Rapid Commun
September 2025
Key Laboratory of Bio-based Material Science and Technology of Ministry of Education, Northeast Forestry University, Harbin, P. R. China.
Rapid advancement of flexible electronics has generated a demand for sustainable materials. Cellulose, a renewable biopolymer, exhibits exceptional mechanical strength, customizable properties, biodegradability, and biocompatibility. These attributes are largely due to its hierarchical nanostructures and modifiable surface chemistry.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, China.
Metal-organic frameworks (MOFs) are distinguished by their structural diversity, tunable electronic properties, and exceptional performance in various applications. Notably, the electron-donating ability of ligands significantly enhances the ligand-to-metal charge transfer (LMCT) processes within these frameworks, thereby promoting efficient charge migration. Herein, we developed two electron-rich macrocyclic ligands derived from phenothiazine- and phenoxazine-functionalized calix[3]arenes, alongside their corresponding cobalt-coordinated MOFs.
View Article and Find Full Text PDFACS Nano
September 2025
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Vagus nerve stimulation (VNS) is a promising therapy for neurological and inflammatory disorders across multiple organ systems. However, conventional rigid interfaces fail to accommodate dynamic mechanical environments, leading to mechanical mismatches, tissue irritation, and unstable long-term interfaces. Although soft neural interfaces address these limitations, maintaining mechanical durability and stable electrical performance remains challenging.
View Article and Find Full Text PDFTop Curr Chem (Cham)
September 2025
Center for Advanced Materials Research, Research Institute of Sciences and Engineering, University of Sharjah, 27272, Sharjah, United Arab Emirates.
Controlling the size of gold nanoparticles (AuNPs) has been critical in diagnostics, biomolecular sensing, targeted therapy, wastewater treatment, catalysis, and sensing applications. Ultrasmall AuNPs (uAuNPs), with sizes Ranging from 2 to 5 nm, and gold nanoclusters (AuNCs), with sizes less than 2 nm, are often dealt with interchangeably in the literature, making it challenging to review them separately. Although they are grouped in our discussion, their chemical and physical properties differ significantly, partly due to their electronic properties.
View Article and Find Full Text PDFArch Microbiol
September 2025
Medical and Biological Computing Laboratory, School of Biosciences and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, 632014, India.
Salmonella enterica serovar Typhi, the etiological agent of Typhoid fever, remains a critical public health concern associated with high morbidity in many developing countries. The widespread emergence of multidrug-resistant (MDR) Salmonella Typhi strains against the fluoroquinolone group of antibiotics, particularly ciprofloxacin, poses a significant global therapeutic challenge with underlying resistance due to mutations in quinolone-resistance determining region (QRDR) of gyrA gene, encoding DNA gyrase subunit A (GyrA). In pursuit of alternative therapeutic candidates, the present study was designed to evaluate ciprofloxacin analogues against prevalent GyrA mutations (S83F, D87G, and D87N) to overcome fluoroquinolone resistance through machine learning (ML)-based approach.
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