Journal of Bioengineering & Biomedical Science

Understanding human hair follicle biology is crucial for developing treatments for hair disorders and promoting hair regrowth. This study explores various approaches, including animal models and other methods, for studying human hair follicles. Animal models such as mice, rats and pigs have been extensively utilized due to their genetic tractability, physiological similarities and feasibility for experimental manipulation. These models offer insights into hair follicle development, cycling and regeneration, as well as the pathogenesis of hair disorders. Additionally, in vitro models using human hair follicle organ culture, 3D skin equivalents and tissue engineering techniques provide valuable tools for investigating hair follicle biology and evaluating therapeutic interventions. Furthermore, advances in imaging modalities, molecular profiling and omics technologies have enabled comprehensive characterization of human hair follicles at the cellular and molecular levels. Integration of these approaches facilitates a deeper understanding of hair follicle biology and the development of novel therapies for hair-related conditions.

This study presents the physicochemical and biological characterization of nanofibrous ε-polycaprolactone (PCL) matrices incorporated with nano- Hydroxyapatite (nHA) and Humulus lupulus L. (hops) extract for potential oral applications. The electrospun Nanofibrous matrices were fabricated using a blend of ε-polycaprolactone polymer, nano-hydroxyapatite, and hops extract. Physicochemical analyses including Scanning Electron Microscopy (SEM), Fourier-Transform Infrared Spectroscopy (FTIR), and X-Ray Diffraction (XRD) were performed to assess the morphology, chemical composition, and crystallinity of the matrices. Biological characterization involved in vitro evaluation of cytocompatibility using Human Gingival Fibroblasts (HGFs) and antimicrobial activity against oral pathogens. The results demonstrate the successful fabrication of nanofibrous matrices with well-defined morphology, enhanced mechanical properties, and controlled release of bioactive compounds. Moreover, the matrices exhibit excellent cytocompatibility and antimicrobial efficacy, suggesting their potential for various oral applications including periodontal tissue engineering and drug delivery systems.

This study investigates the seepage behaviour in drip irrigation systems using fluorescence-based image analysis and explores the influence of different fractal gradings in media permeability. Drip irrigation is a widely used method for water-efficient crop production, but understanding the dynamics of water movement in the soil is crucial for optimizing irrigation efficiency and crop yield. In this research, fluorescent tracers are used to visualize and track the movement of water through soil media with varying fractal gradings. Image analysis techniques are employed to quantify seepage patterns and assess the impact of fractal gradings on water distribution uniformity and efficiency. The findings provide valuable insights into the hydraulic properties of soils with different fractal structures and offer guidance for designing drip irrigation systems tailored to specific soil conditions.

This paper explores the development of sprayable coatings containing Diacetylene amphiphiles for the visual detection of gaseous Hydrogen Peroxide (H₂O₂). Diacetylene-based materials undergo a distinct color change in response to H₂O₂ exposure, offering a simple and intuitive method for detecting this important oxidizing agent. The coatings were fabricated using a facile spray-coating technique, enabling uniform deposition on various substrates. Characterization studies confirmed the successful incorporation of Diacetylene amphiphiles into the coatings and their sensitivity to H₂O₂ vapor. The colorimetric response of the coatings to H₂O₂ exposure was evaluated using spectroscopic techniques, demonstrating their potential for rapid and selective detection of gaseous H₂O₂. Overall, the sprayable coatings represent a promising platform for real-time monitoring of H₂O₂ levels in diverse environmental and industrial settings.