6,603 research outputs found
Graphene Quantum Dot-Based Electrochemical Immunosensors for Biomedical Applications
In the area of biomedicine, research for designing electrochemical sensors has evolved over the past decade, since it is crucial to selectively quantify biomarkers or pathogens in clinical samples for the efficacious diagnosis and/or treatment of various diseases. To fulfil the demand of rapid, specific, economic, and easy detection of such biomolecules in ultralow amounts, numerous nanomaterials have been explored to effectively enhance the sensitivity, selectivity, and reproducibility of immunosensors. Graphene quantum dots (GQDs) have garnered tremendous attention in immunosensor development, owing to their special attributes such as large surface area, excellent biocompatibility, quantum confinement, edge effects, and abundant sites for chemical modification. Besides these distinct features, GQDs acquire peroxidase (POD)-mimicking electro-catalytic activity, and hence, they can replace horseradish peroxidase (HRP)-based systems to conduct facile, quick, and inexpensive label-free immunoassays. The chief motive of this review article is to summarize and focus on the recent advances in GQD-based electrochemical immunosensors for the early and rapid detection of cancer, cardiovascular disorders, and pathogenic diseases. Moreover, the underlying principles of electrochemical immunosensing techniques are also highlighted. These GQD immunosensors are ubiquitous in biomedical diagnosis and conducive for miniaturization, encouraging low-cost disease diagnostics in developing nations using point-of-care testing (POCT) and similar allusive techniques.TU Berlin, Open-Access-Mittel - 201
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Electro-spinning/netting: A strategy for the fabrication of three-dimensional polymer nano-fiber/nets.
Since 2006, a rapid development has been achieved in a subject area, so called electro-spinning/netting (ESN), which comprises the conventional electrospinning process and a unique electro-netting process. Electro-netting overcomes the bottleneck problem of electrospinning technique and provides a versatile method for generating spider-web-like nano-nets with ultrafine fiber diameter less than 20Â nm. Nano-nets, supported by the conventional electrospun nanofibers in the nano-fiber/nets (NFN) membranes, exhibit numerious attractive characteristics such as extremely small diameter, high porosity, and Steiner tree network geometry, which make NFN membranes optimal candidates for many significant applications. The progress made during the last few years in the field of ESN is highlighted in this review, with particular emphasis on results obtained in the author's research units. After a brief description of the development of the electrospinning and ESN techniques, several fundamental properties of NFN nanomaterials are addressed. Subsequently, the used polymers and the state-of-the-art strategies for the controllable fabrication of NFN membranes are highlighted in terms of the ESN process. Additionally, we highlight some potential applications associated with the remarkable features of NFN nanostructure. Our discussion is concluded with some personal perspectives on the future development in which this wonderful technique could be pursued
SciTech News Volume 71, No. 2 (2017)
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Varieties of Exploratory Experimentation in Nanotoxicology
There has been relatively little effort to provide a systematic overview of different forms of exploratory experimentation (EE). The present paper examines the growing subdiscipline of nanotoxicology and suggests that it illustrates at least four ways that researchers can engage in EE: searching for regularities; developing new techniques, simulation models, and instrumentation; collecting and analyzing large swaths of data using new experimental strategies (e.g., computer-based simulation and âhigh-throughputâ instrumentation); and structuring an entire disciplinary field around exploratory research agendas. In order to distinguish these and other activities more effectively, the paper proposes a taxonomy that includes three dimensions along which types of EE vary: (1) the aim of the experimental activity, (2) the role of theory in the activity, and (3) the methods or strategies employed for varying experimental parameters
Environmental Risks and Benefits of Nano-Enabled Clean Energy Technologies
Engineered nanomaterials (ENMs) are increasingly incorporated into clean energy technologies due to observed improvement in technological and system performance. Though these materials could revolutionize many products and technologies, increased use of ENMs can also introduce uncertainty and risks that are difficult to predict. Increase in ENM use could significantly increase ENM releases to the environment across their life cycle, from material synthesis to end-of-life. To address knowledge gaps and uncertainties, this work assesses a portfolio of ENMs from a systems perspective. First, characterization and quantification methods were developed for three carbonaceous ENMs, fullerenes (C60, C70, and derivative PCBM), which have promising application in solar technologies. Empirical ecotoxicity assays and predation studies were performed to determine ecotoxicity and predation effects. Next, an integrated model predicted potential risks of ENM accumulation by estimating potential manufacturing locations, spatial concentrations, and potential ecological risks. This was followed by an adaption of portfolio optimization, a model traditionally used to optimize investment performance, to model potential environmental and economic risks and simultaneous performance benefits and inform safe nano-enabled design.
Ecotoxicity findings demonstrate differences among fullerenes where organisms exposed to fullerenes also experienced significantly increased predation risk, underscoring the need to consider potential system-level effects. Based on manufacturing locations, potential ENM exposure may be within buffer distances of sensitive ecosystems. However, modeled ENM accumulation would only reach levels associated with ecotoxicity risk under extreme scenarios. Future ENM use-patterns can be informed by the portfolio optimization approach, where optimal portfolios are determined by the materials-mix that yielded the greatest overall performance return while minimizing the portfolio risks. These novel methods and tools contribute to the knowledge of the benefits and risks of ENMs, which will help to guide more responsible and proactive policy and planning around ENM development and use
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