Rapid and Simultaneous Detection of Petroleum Hydrocarbons and Organic Pesticides in Soil Based on Electronic Nose
The rapid detection of petroleum hydrocarbons and organic pesticides is an important prerequisite for precise soil management. It is also a guarantee for soil quality, environmental safety, and human health. However, the current rapid detection methods are prone to sample matrix interference, comple...
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MDPI AG
2025-01-01
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author | Cheng Kong Lin Sun Xiaodan Li Yu Yan Zhiyong Chang Mo Li Fuyan Gou Baojun Rong |
author_facet | Cheng Kong Lin Sun Xiaodan Li Yu Yan Zhiyong Chang Mo Li Fuyan Gou Baojun Rong |
author_sort | Cheng Kong |
collection | DOAJ |
description | The rapid detection of petroleum hydrocarbons and organic pesticides is an important prerequisite for precise soil management. It is also a guarantee for soil quality, environmental safety, and human health. However, the current rapid detection methods are prone to sample matrix interference, complex development processes, short lifespan, and low detection accuracy. Moreover, they face difficulties in achieving simultaneous detection of petroleum hydrocarbons and organic pesticides. In this paper, we developed an electronic nose system for the simultaneous detection of petroleum hydrocarbons and organic pesticides in soil based on gas technology, which includes a sampling module and recognition model. The developed sampling module can simultaneously acquire the odor signals of petroleum hydrocarbons and organic pesticides in soil. The established recognition model can quickly distinguish between healthy soil, soil contaminated by petroleum hydrocarbons, and soil contaminated by organic pesticides. It can also achieve specific recognition of pesticide types and petroleum types. The performance of the developed electronic nose system was verified for real soil, petroleum products, and organic pesticides. The experiment shows that the developed electronic nose system has an accuracy of 100% for three tasks: soil conditions identification, pesticide types identification, and petroleum types identification. |
format | Article |
id | doaj-art-998d8ee9eb34490597c402c2c17d2aeb |
institution | Kabale University |
issn | 1424-8220 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj-art-998d8ee9eb34490597c402c2c17d2aeb2025-01-24T13:48:43ZengMDPI AGSensors1424-82202025-01-0125238010.3390/s25020380Rapid and Simultaneous Detection of Petroleum Hydrocarbons and Organic Pesticides in Soil Based on Electronic NoseCheng Kong0Lin Sun1Xiaodan Li2Yu Yan3Zhiyong Chang4Mo Li5Fuyan Gou6Baojun Rong7College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, ChinaBeijing Institute of Geohazard Prevention and Control, Beijing 100011, ChinaChina Northeast Municipal Engineering Design and Research Institute Co., Ltd., Changchun 130021, ChinaChina Northeast Municipal Engineering Design and Research Institute Co., Ltd., Changchun 130021, ChinaCollege of Biological and Agricultural Engineering, Jilin University, Changchun 130022, ChinaCollege of Biological and Agricultural Engineering, Jilin University, Changchun 130022, ChinaCollege of Geoexploration Science and Technology, Jilin University, Changchun 130022, ChinaSchool of Mechanical and Vehicle Engineering, Jilin Engineering Normal University, Changchun 130052, ChinaThe rapid detection of petroleum hydrocarbons and organic pesticides is an important prerequisite for precise soil management. It is also a guarantee for soil quality, environmental safety, and human health. However, the current rapid detection methods are prone to sample matrix interference, complex development processes, short lifespan, and low detection accuracy. Moreover, they face difficulties in achieving simultaneous detection of petroleum hydrocarbons and organic pesticides. In this paper, we developed an electronic nose system for the simultaneous detection of petroleum hydrocarbons and organic pesticides in soil based on gas technology, which includes a sampling module and recognition model. The developed sampling module can simultaneously acquire the odor signals of petroleum hydrocarbons and organic pesticides in soil. The established recognition model can quickly distinguish between healthy soil, soil contaminated by petroleum hydrocarbons, and soil contaminated by organic pesticides. It can also achieve specific recognition of pesticide types and petroleum types. The performance of the developed electronic nose system was verified for real soil, petroleum products, and organic pesticides. The experiment shows that the developed electronic nose system has an accuracy of 100% for three tasks: soil conditions identification, pesticide types identification, and petroleum types identification.https://www.mdpi.com/1424-8220/25/2/380soil rapid detectionpetroleum hydrocarbon pollutionorganic pesticide pollutionelectronic noserecognition model |
spellingShingle | Cheng Kong Lin Sun Xiaodan Li Yu Yan Zhiyong Chang Mo Li Fuyan Gou Baojun Rong Rapid and Simultaneous Detection of Petroleum Hydrocarbons and Organic Pesticides in Soil Based on Electronic Nose Sensors soil rapid detection petroleum hydrocarbon pollution organic pesticide pollution electronic nose recognition model |
title | Rapid and Simultaneous Detection of Petroleum Hydrocarbons and Organic Pesticides in Soil Based on Electronic Nose |
title_full | Rapid and Simultaneous Detection of Petroleum Hydrocarbons and Organic Pesticides in Soil Based on Electronic Nose |
title_fullStr | Rapid and Simultaneous Detection of Petroleum Hydrocarbons and Organic Pesticides in Soil Based on Electronic Nose |
title_full_unstemmed | Rapid and Simultaneous Detection of Petroleum Hydrocarbons and Organic Pesticides in Soil Based on Electronic Nose |
title_short | Rapid and Simultaneous Detection of Petroleum Hydrocarbons and Organic Pesticides in Soil Based on Electronic Nose |
title_sort | rapid and simultaneous detection of petroleum hydrocarbons and organic pesticides in soil based on electronic nose |
topic | soil rapid detection petroleum hydrocarbon pollution organic pesticide pollution electronic nose recognition model |
url | https://www.mdpi.com/1424-8220/25/2/380 |
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