Abstract
This work exposes the development of an electronic system for the detection of pollutant agents in water and integrates the design of the system with methods for collection of information and the detection of polluting particles in deposits. For this purpose, the stimulation is applied by dielectrophoresis, which manipulates the particles suspended in water, so that it is possible to perform a detection, extraction and accounting process to obtain data of the contaminants by doing experiment on liquid samples. The ultimate purpose is the anticipated detection of possible problems related to contaminants in the water. The finished design and the functional prototype show experiments in the detection of live and inert particles in the range of 5 μm and 10 μm, and the methodology to carry out the proposed analysis. The elements of the system integrate the use of an LM3S6965 processor, which is responsible for processing the input parameters that pass through a signal conditioner, also it is responsible for the electrical stimulation necessary for the experiment and then using a microscope it’s possible to generate images of the results. For the experiments shown there is the generation of signals of 5 Vpp with a frequency of 28 kHz, applied to a mixture of 10 μm polystyrene particles and 5 μm yeast cells, obtaining results about the behavior of these particles. The main objective of the research carried out is to develop a solution to the problem that exists with the current methods that are not portable and to implement a system based on the System on Chip (SoC) architecture. The results of this work presents a functional prototype of the system, and shows the detection of contaminants and a data transmitter for the collection of information. Also, the experiments made show the handling of inert and living particles with the use of polystyrene and yeast beads. One of the main characteristics of the system is that it could be adjusted to read parameters in other liquid containers to detect different particles.
| Original language | English |
|---|---|
| Title of host publication | Internet of Things - ICIOT 2020 - 5th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Proceedings |
| Subtitle of host publication | Lecture notes in computer science |
| Editors | Wei Song, Kisung Lee, Zhisheng Yan, Liang-Jie Zhang, Huan Chen |
| Place of Publication | Switzerland |
| Publisher | Springer Nature |
| Pages | 125-132 |
| Number of pages | 8 |
| Volume | 12405 |
| Edition | 1 |
| ISBN (Electronic) | 978-3-030-59615-6 |
| ISBN (Print) | 978-3-030-59614-9 |
| DOIs | |
| Publication status | Published - 2020 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 12405 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Bibliographical note
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