Name
Title | ||
|---|---|---|
Detection of oil pollution in seawater: Biosecurity prevention using electronic nose technology |
Abstract | ||
|---|---|---|
In this paper-conducting polymer gas sensor based AutoNose electronic nose (E-Nose) technology has been used for detection of oil contamination in seawater samples. AutoNose E-nose is a headspace analyzer based on six conducting polymer sensors. Seawater samples with known (or induced) oil contamination were tested and classified against the unpolluted seawater samples using machine learning based ensemble classifiers with very high accuracy. We show that a simple headspace sensing E-Nose could be used to rapidly detect oil pollution in seawater for early biosecurity prevention. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICDEW.2015.7129554 | ICDE Workshops |
Keywords | Field | DocType |
electronic nose, conducting polymer gas sensor, machine learning, ensemble classifier, biosecurity | Electronic nose,Oil pollution,Computer science,Seawater,Waste management,Biosecurity,Database,Contamination | Conference |
Citations | PageRank | References |
1 | 0.37 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rob Chandler | 1 | 1 | 0.37 |
| Aruneema Das | 2 | 1 | 0.37 |
| Tim Gibson | 3 | 1 | 0.37 |
| ritaban dutta | 4 | 3 | 1.06 |