Thesis
Laboratory-scale Evaluation of Novel Multi-Gas Sensors Coupled with Machine Learning Technique to Detect Ethyl Formate Fumigant
Masters by Research, Murdoch University
2023
Abstract
The rapid growth of global trade poses significant biodiversity and biosecurity risks. Shipping container fumigation plays a crucial role in mitigating biosecurity threats from invasive pests. Ethyl formate has been permitted for use to control pests in shipping containers. However, to mitigate the exposure risk to workers and the environment accurate concentration measurements are vital. Additionally, this is essential to (1) ensure that the efficient level of fumigant present in the shipping container, and (2) to achieve completely mortality. Moreover, from the point view of work safety, after aeration, the fumigant level within container should be lower than the Threshold Limit Value-Time Weighted Average (TLV-TWA) of 100ppm ethyl formate. However, there are currently no portable gas detector for monitoring the trace level of ethyl formate without interference from naturally complex volatile organic compounds (VOCs) presented in containers.
Details
- Title
- Laboratory-scale Evaluation of Novel Multi-Gas Sensors Coupled with Machine Learning Technique to Detect Ethyl Formate Fumigant
- Authors/Creators
- Haochuan Zhang
- Contributors
- Simon McKirdy (Supervisor) - Murdoch University, Centre for Biosecurity and One HealthYonglin Ren (Supervisor) - Murdoch University, Centre for Biosecurity and One HealthBob Du (Supervisor) - Murdoch University, Harry Butler Institute
- Awarding Institution
- Murdoch University; Masters by Research
- Identifiers
- 991005609153307891
- Murdoch Affiliation
- College of Environmental and Life Sciences
- Resource Type
- Thesis
- Note
- Research Master with Training
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