A novel third generation HO biosensor is fabricated using multiporous SnO nanofiber/carbon nanotubes (CNTs) composite as a matrix for the immobilization of redox protein onto glassy carbon electrode. The multiporous nanofiber (MPNFs) of SnO is synthesized by electrospinning technique from the tin precursor. This nanofiber shows high surface area and good electrical conductivity. The SnO nanofiber/CNT composite increases the efficiency of biomolecule loading due to its high surface area. The morphology of the nanofiber has been evaluated by scanning electron microscopy (SEM). Cyclic Voltammetry and amperometry technique are employed to study and optimize the performance of the fabricated electrode. A direct electron transfer between the protein's redox centre and the glassy carbon electrode is established after fabrication of the electrode. The fabricated electrode shows excellent electrocatalytic reduction to HO. The catalysis currents increases linearly to the HO concentration in a wide range of 1.0 10-1.4×10M and the lowest detection limit was 30nM (S/N=3). Moreover, the biosensor showed a rapid response to HO, a good stability and reproducibility.
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http://dx.doi.org/10.1016/j.ijbiomac.2018.03.184 | DOI Listing |
J Am Chem Soc
December 2024
Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States.
Discovery of cancer immunogenic chemotherapeutics represents an emerging, highly promising direction for cancer treatment that uses a chemical drug to achieve the efficacy of both chemotherapy and immunotherapy. Herein, we report a high-throughput screening platform and the subsequent discovery of a new class of cancer immunogenic chemotherapeutic leads. Our platform integrates informatics-based activity metabolomics for the rapid identification of microbial natural products with both novel structures and potent activities.
View Article and Find Full Text PDFEur J Hum Genet
December 2024
National EDS Service, London North West University Healthcare NHS Trust, London, UK.
Vascular Ehlers-Danlos syndrome (vEDS) is a rare inherited connective tissue disorder predominantly caused by pathogenic COL3A1 variants. Characteristic arterial and intestinal fragility and generalised severe tissue friability can lead to clinical events from childhood. We highlight a paucity of literature regarding children diagnosed with vEDS, possibly explained by a restraint in predictive testing, and present data on 63 individuals (23 index cases) with a clinical and genetic diagnosis of vEDS in childhood (<18 years) to address this.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Physics, Faculty of Science, Islamic University of Madinah, Madinah 42351, Saudi Arabia.
Modifying ZnO nanorods with graphene oxide (GO) is crucial for enhancing photocatalytic degradation by boosting the concentration of reactive oxygen species (ROS) in the reaction medium. In this study, we present a straightforward chemical synthesis of ZnO nanorods embedded on GO, forming a novel nanocomposite, GOZ. This composite serves as an efficient photocatalyst for the sunlight-driven degradation of methylene blue (MB) and ciprofloxacin (CIP).
View Article and Find Full Text PDFJ Am Chem Soc
December 2024
Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.
Designing catalysts with well-defined active sites with chemical functionality responsive to visible light has significant potential for overcoming scaling relations limiting chemical reactions over heterogeneous catalyst surfaces. Visible light can be leveraged to facilitate the removal of strongly bound species from well-defined single cationic sites (Rh) under mild conditions (323 K) when they are incorporated within a photoactive perovskite oxide (Rh-doped SrTiO). CO, a key intermediate in many chemistries, forms stable geminal dicarbonyl Rh complexes (Rh(CO)), that could act as site blockers or poisons during a catalytic cycle.
View Article and Find Full Text PDFChem Rev
December 2024
Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California 90089, United States.
Conventional artificial intelligence (AI) systems are facing bottlenecks due to the fundamental mismatches between AI models, which rely on parallel, in-memory, and dynamic computation, and traditional transistors, which have been designed and optimized for sequential logic operations. This calls for the development of novel computing units beyond transistors. Inspired by the high efficiency and adaptability of biological neural networks, computing systems mimicking the capabilities of biological structures are gaining more attention.
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