The purpose of this research was to design and develop hydrogels by esterification of polyvinyl alcohol (PVA) with gelatin. The membranes were characterized by Fourier Transform Infrared (FTIR) spectroscopy, x-ray diffraction (XRD), and differential scanning calorimetry. The viscosity of the esterified product (as solution) was compared with the mixture of PVA and gelatin of the same composition. The mechanical properties of the hydrogels were characterized by tensile tests. Swelling behavior and hemocompatibility of the membrane were also evaluated. The diffusion coefficient of salicylic acid (SA), when the receptor compartment contained Ringer's solution, through the membrane was determined. SA was used as a model drug. FTIR spectra of the membranes indicated complete esterification of the free carboxylic groups of gelatin. XRD studies indicated that the crystallinity of the membranes was mainly due to gelatin. The comparison of viscosity indicated an increase in segment density within the molecular coil. The membrane had sufficient strength and water-holding capacity. Hemocompatibility suggested that the hydrogel could be tried as wound dressing and as an implantable drug delivery system. The diffusion coefficient of SA through the membrane was found to be 1.32 x 10(-5) cm(2)/s. The experimental results indicated that the hydrogel could be tried for various biomedical applications.
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http://dx.doi.org/10.1208/pt080121 | DOI Listing |
J Food Sci
December 2024
Department of Cell Biology, College of Life Science and Technology, Jinan University, Guangzhou, China.
Marine collagen is gaining more attraction than terrestrial collagen because it is free of zoonotic disease and religious constrain. In this study, we aimed to investigate and compare the physicochemical properties and functional characteristics of acid-soluble collagen (ASC-MF) and pepsin-soluble collagen (PSC-MF) extracted from scales of Megalonibea fusca. ASC-MF and PSC-MF were evaluated in terms of yield, collagen type, amino acid composition, thermal stability, microstructure, cytotoxicity, and other physicochemical parameters.
View Article and Find Full Text PDFJACS Au
December 2024
Chemical Biology of Carbohydrates (CBCH), Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarbrücken D-66123, Germany.
is a critical priority pathogen and causes life-threatening acute and biofilm-associated chronic infections. The choice of suitable treatment for complicated infections requires lengthy culturing for species identification from swabs or an invasive biopsy. To date, no fast, pathogen-specific diagnostic tools for infections are available.
View Article and Find Full Text PDFJACS Au
December 2024
Natural Products Research Institute, College of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea.
Four new macrolides, spirosnuolides A-D (-, respectively), were discovered from the termite nest-derived sp. INHA29. Spirosnuolides A-D are 18-membered macrolides sharing an embedded [6,6]-spiroketal functionality inside the macrocycle and are conjugated with structurally uncommon side chains featuring cyclopentenone, 1,4-benzoquinone, hydroxyfuroic acid, or butenolide moieties.
View Article and Find Full Text PDFOptica
December 2024
Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.
X-ray dark-field imaging highlights sample structures through contrast generated by sub-resolution features within the inspected volume. Quantifying dark-field signals generally involves multiple exposures for phase retrieval, separating contributions from scattering, refraction, and attenuation. Here, we introduce an approach for non-interferometric X-ray dark-field imaging that presents a single-parameter representation of the sample.
View Article and Find Full Text PDFJ Biotechnol Biomed
October 2024
Department of Biochemistry, Cancer Biology, Neuroscience and Pharmacology, School of Medicine, Meharry Medical College, Nashville, TN, USA.
As data grows exponentially across diverse fields, effectively leveraging big data has become increasingly crucial. In data science and computational genomics, however, minority groups, including African Americans, are significantly underrepresented, coupled with the lack of resources and infrastructure in minority-serving institutions. This paper summarizes the second phase of our funded project that aims to enhance the data science capacity of Meharry Medical College (MMC), a Historically Black College/University (HBCU), by providing training and fostering collaborations between data scientists and researchers in basic science and biomedical fields.
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