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Capillarity-based preparation system for optical colorimetric sensor arrays
- Source :
- The Review of scientific instruments. 88(3)
- Publication Year :
- 2017
-
Abstract
- In recent years, optical colorimetric sensor arrays have demonstrated beneficial features, including rapid response, high selectivity, and high specificity; as a result, it has been extensively applied in food inspection and chemical studies, among other fields. There are instruments in the current market available for the preparation of an optical colorimetric sensor array, but it lacks the corresponding research of the preparation mechanism. Therefore, in connection with the main features of this kind of sensor array such as consistency, based on the preparation method of contact spotting, combined with a capillary fluid model, Washburn equation, Laplace equation, etc., this paper develops a diffusion model of an optical colorimetric sensor array during its preparation and sets up an optical colorimetric sensor array preparation system based on this diffusion model. Finally, this paper compares and evaluates the sensor arrays prepared by the system and prepared manually in three aspects such as the quality of array point, response of array, and response result, and the results show that the performance index of the sensor array prepared by a system under this diffusion model is better than that of the sensor array of manual spotting, which meets the needs of the experiment.
- Subjects :
- Laplace's equation
Computer science
business.industry
Capillary action
02 engineering and technology
Spotting
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
0104 chemical sciences
Optics
Colorimetric sensor
Sensor array
Food inspection
Washburn's equation
Electronic engineering
Point (geometry)
0210 nano-technology
business
Instrumentation
Subjects
Details
- ISSN :
- 10897623
- Volume :
- 88
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- The Review of scientific instruments
- Accession number :
- edsair.doi.dedup.....7df40c82443c3a4ebb81cd147bbdd316