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Onsite fish quality monitoring using ultra-sensitive patch electrode capacitive sensor at room temperature
- Source :
- Biosensorsbioelectronics. 168
- Publication Year :
- 2020
-
Abstract
- Fish freshness plays a vital role in the fish industry and also affects human health from a nutrition point of view. Here, an Au metal patch electrode capacitive sensor is introduced for rapid and accurate detection of volatile gases generated from raw fish to determine its freshness status. The MIS structured sensor was fabricated on a silicon substrate using Ag–SnO2 as sensing material over SiO2 layer and Au as a metal electrode. The calibration of the sensor was carried out with known composition of volatile gases (NH3, TMA, DMA and H2S) in the ppb-ppm regime. Our sensor using the proposed technique delivers sensor response to raw fish within 4 min, reflecting its freshness status in comparison to the TVB-N and TVC method which takes many hours to complete involving many sophisticated steps. The sensor response to volatile gases from Rohu (Labeo Rohita), Tilapia (Oreochromis Niloticus) and Illish (Tenualosa Ilisha) obtained by using our developed sensor system at 20 °C, 25 °C, and 30 °C, shows high correlation with TVB-N and TVC results. The acceptance limit for safe consumption of Tilapia, Rohu, and Illish at 30 °C was found to be 11 h, 12.5 h, and 10 h of storage time respectively. The result in this work assures a portable low-cost sensor for onsite monitoring of fish freshness at room temperature.
- Subjects :
- Materials science
Capacitive sensing
Biomedical Engineering
Biophysics
02 engineering and technology
Biosensing Techniques
01 natural sciences
Fish quality
Patch electrode
Electrochemistry
Calibration
Animals
Humans
Process engineering
Electrodes
Ultra sensitive
Sensor system
business.industry
010401 analytical chemistry
Fishes
Temperature
Raw fish
General Medicine
021001 nanoscience & nanotechnology
Silicon Dioxide
0104 chemical sciences
Electrode
0210 nano-technology
business
Biotechnology
Subjects
Details
- ISSN :
- 18734235
- Volume :
- 168
- Database :
- OpenAIRE
- Journal :
- Biosensorsbioelectronics
- Accession number :
- edsair.doi.dedup.....3c0d91026694993f96fcbd9d2b4b4e59