98%
921
2 minutes
20
Tetracycline (TC) presents significant risks to the human health and has the potential to cause substantial harm to ecological systems due to its excessive utilization. However, carbon-based materials have attracted considerable interest for their efficacy in removing TC from aquatic environments. In this study, phosphorus and oxygen co-doped pinecone biochar (po-PBC) with a three-dimensional (3D) hierarchical porous architecture was synthesized and employed for the adsorption of TC. To elucidate the adsorption characteristics of po-PBC for TC, four adsorption kinetic models and four isotherm models were utilized. The adsorption data were best described by the pseudo-second-order kinetics model, as evidenced by an value of 0.9975. Furthermore, the removal efficiency of TC using po-PBC increased to 81.67% at 313 K for an initial concentration of 150 mg L in comparison to unmodified PBC. The observed increase can be attributed to the co-doping of phosphorus and oxygen heteroatoms, along with the presence of a three-dimensional hierarchical porous structure. The Langmuir isotherm model, exhibiting values between 0.9830 and 0.9926, accurately characterized various equilibrium isotherms. The maximum adsorption capacities for TC at temperatures of 298 K, 308 K, and 318 K were determined to be 1137.09 mg g, 1379.23 mg g, and 1401.77 mg g, respectively. The relatively low average free energies, ranging from 0.11 to 0.63 kJ mol, corroborated the physical nature of the adsorption process. Thermodynamic parameters (Δ > 0, Δ < 0, and Δ > 0) further indicated that the adsorption process was spontaneous and endothermic. Moreover, the adsorption capacity of TC was retained at 88.12% after five successive adsorption-regeneration cycles. Therefore, po-PBC demonstrates significant potential for the removal of TC from wastewater. Additionally, it offers novel insights into the reduction, stabilization, and resource utilization of pinecones.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1039/d5cp01476j | DOI Listing |
IEEE Trans Comput Biol Bioinform
September 2025
Deciphering the three-dimensional structure of proteins remains a grand challenge in biology and medicine, as it holds the key to understanding their biological functions and facilitating drug discovery. In this paper, we introduce DECIPHER (Deep Encoding of Cellular Interactions and Protein HiErarchical Representation), a novel deep graph learning framework for protein structure prediction. By representing proteins as graphs, where residues and atoms serve as nodes and their interactions form edges, we capture the intricate spatial relationships within these complex biomolecules.
View Article and Find Full Text PDFBMB Rep
September 2025
Department of Systems Biology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
DNA, a large molecule located in the nucleus, carries essential genetic information, including gene loci and cis-regulatory elements. Despite its extensive length, DNA is compactly stored within the limited space of the nucleus due to its hierarchical three-dimensional (3D) organization. In this structure, DNA is organized into territories known as topologically associated domains (TADs).
View Article and Find Full Text PDFIEEE J Biomed Health Inform
September 2025
Accurate segmentation of thoracoabdominal anatomical structures in three-dimensional medical imaging modalities is fundamental for informed clinical decision-making across a wide array of medical disciplines. Current approaches often struggle to efficiently and comprehensively process this region's intricate and heterogeneous anatomical information, leading to suboptimal outcomes in diagnosis, treatment planning, and disease management. To address this challenge, we introduce SegTom, a novel volumetric segmentation framework equipped with a cutting-edge SegTom Block specifically engineered to effectively capture the complex anatomical representations inherent to the thoracoabdominal region.
View Article and Find Full Text PDFChem Mater
August 2025
Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.
Graph-theoretical (GT) representations, conceptually analogous to chemical formulas, offer a powerful and versatile framework for describing the structure of nanomaterialsincluding complex assemblies with nano-, meso-, and microscale organization. GT formulas of nanostructures can capture repetitive structural patterns that combine both order and disorder needed to attain the desired combination of properties. These repetitive structural patterns are extracted from microscopy, spectroscopy, and diffractometry.
View Article and Find Full Text PDFLangmuir
September 2025
College of Textiles and Clothing, Qingdao University, Qingdao 266071, China.
Metal-organic frameworks (MOFs), known for their high surface area, adjustable pore structure, and ease of functional modification, have attracted considerable interest for carbon dioxide (CO) capture. Nevertheless, their practical use is hindered by their powdered form, which results in limited mechanical strength and a reduced gas transport performance. In this study, an effective approach is presented for developing three-dimensional UiO-66-NH/polyacrylonitrile (PAN) interconnected networks to serve as efficient gas transport pathways, thereby enhancing CO adsorption capabilities.
View Article and Find Full Text PDF