Optimization of a portable nanoparticle detection device
The use of silver nanoparticles has grown in both the industrial and medical areas. Along its widespread use, interest in understanding its effects on the human body and the environment has also increased. As a result, novel and improved techniques and tools are being investigated to characterize th...
| Autor Principal: | Soto-Rivera, Oscar |
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| Formato: | Artículo |
| Idioma: | Inglés |
| Publicado: |
Editorial Tecnológica de Costa Rica (entidad editora)
2020
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| Materias: | |
| Acceso en línea: |
https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/5493 http://hdl.handle.net/2238/13081 |
| Sumario: |
The use of silver nanoparticles has grown in both the industrial and medical areas. Along its widespread use, interest in understanding its effects on the human body and the environment has also increased. As a result, novel and improved techniques and tools are being investigated to characterize this material. The neuroelectronics group at the Technical University of Munich is developing a portable device for detecting silver nanoparticles in-situ. To achieve this, using cell phone technology to communicate with the device is anticipated, as well as making the necessary calculations for the characterization of these nanoparticles. The system consists of analog and digital circuits which still require performance and portability optimizations, in such a way that they contribute to the successful completion of this task. This article will describe three phases for achieving device optimization. The first phase includes the design and implementation of a power management system, which will allow the portability of the sensor with an operating time of at least one hour. The second phase will be about noise characterization and reduction in the analog system. The third and last phase will focus on verifying the cutoff frequency of the circuit. In addition, this article will explain how these three phases relate to each other and contribute to optimizing the silver nanoparticle detection device. |
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