Variation in the dehydrogenase (DH) activity and its simultaneous influence on hydrogen (H2) production, substrate degradation rate (SDR) and volatile fatty acid (VFA) generation was investigated with respect to varying poised potential in single chambered membrane-less microbial electrolysis cell (MEC) using anaerobic consortia as biocatalyst. Poised potential showed significant influence on H2 production and DH activity. Maximum H2 production was observed at 1.0V whereas the control system showed least H2 production among the experimental variations studied. DH activity was observed maximum at 0.6V followed by 0.8, 0.9 and 1.0V, suggests the influence of poised potential on the microbial metabolism. Almost complete degradation of substrate was observed in all the experimental conditions studied irrespective of the applied potential. Experimental data was also analysed employing multiple regression analysis and 3D-surface plots to find out the best theoretical poised potential for maximum H2 production and DH activity.
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http://dx.doi.org/10.1016/j.biortech.2011.02.051 | DOI Listing |
Materials (Basel)
January 2025
Instituto Universitario de Investigación de Ciencia y Tecnología del Hormigón (ICITECH), Universitat Politècnica de València, 46022 Valencia, Spain.
LC3 (limestone calcined clay cement) is poised to become the construction industry's future as a so-called low-carbon-footprint cement. Research into this subject has determined the minimum kaolinite content in calcined clays to guarantee good mechanical performance. This study examines the use of clay from the Valencian Community (Spain), which has a lower kaolinite content than the recommended amount (around 30%) for use in LC3 and how its performance can be enhanced by replacing part of that clay with metakaolin.
View Article and Find Full Text PDFNanotechnology
January 2025
Xidian University, Room 120, G building, Southern campus of Xidian University, Xi'an, Shaanxi, 710126, CHINA.
The utilization of dual-working-electrode mode of interdigitated array (IDA) electrodes and other two-electrode systems has revolutionized electrochemical detection by enabling the simultaneous and independent detection of two species, accompanied by the exhibition of unique characteristics. In contrast to conventional dual-potential electrodes, such as the rotating ring disk electrodes (RRDE), IDA electrodes demonstrate analogous yet vastly improved performance, characterized by remarkable collection efficiency and sensitivity. Notably, due to the distinctive microscale structure of IDA electrode, the special "feedback" effect makes IDA a unique signal amplifier.
View Article and Find Full Text PDFNanomaterials (Basel)
January 2025
Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1X6, Canada.
Monte Carlo (MC) simulations have become important in advancing nanoparticle (NP)-based applications for cancer imaging and therapy. This review explores the critical role of MC simulations in modeling complex biological interactions, optimizing NP designs, and enhancing the precision of therapeutic and diagnostic strategies. Key findings highlight the ability of MC simulations to predict NP bio-distribution, radiation dosimetry, and treatment efficacy, providing a robust framework for addressing the stochastic nature of biological systems.
View Article and Find Full Text PDFBehav Sci (Basel)
December 2024
Department of Digital Media Art, School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China.
This study aims to explore the current state of research and the applicability of artificial intelligence (AI) at various stages of post-traumatic stress disorder (PTSD), including prevention, diagnosis, treatment, patient self-management, and drug development. We conducted a bibliometric analysis using software tools such as Bibliometrix (version 4.1), VOSviewer (version 1.
View Article and Find Full Text PDFCurr Pharm Biotechnol
January 2025
Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Artificial intelligence (AI) is a rapidly transforming drug discovery and development process, significantly impacting the pharmaceutical industry and enhancing human health. This review article examines the tremendous role of AI in analyzing complex biological data, optimizing research processes, and reducing costs of production. Implementation of AI in the pharmaceutical sector can store a vast dataset of manufacturing processes, identify potential disease targets, simulate physiological conditions, and predict drug interactions.
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