Assessing human exposure to organic contaminants in fish: A modeling approach integrating chemical bioconcentration and food thermal processing
An increasing number of chemicals found in the environment potentially pose a threat to organisms such as fish. Models for risk assessment are vital resources that enable possible measurements of the hazards associated with chemical exposure. Traditional monitoring techniques and experimental proced...
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| Language: | English |
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Elsevier
2024-12-01
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| Series: | Toxicology Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214750024001884 |
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| author | Jie Xiong Yuan Zhang Zijian Li |
| author_facet | Jie Xiong Yuan Zhang Zijian Li |
| author_sort | Jie Xiong |
| collection | DOAJ |
| description | An increasing number of chemicals found in the environment potentially pose a threat to organisms such as fish. Models for risk assessment are vital resources that enable possible measurements of the hazards associated with chemical exposure. Traditional monitoring techniques and experimental procedures, however, are unable to keep up with the compounds that are becoming more and more implicated in environmental problems. Furthermore, a significant amount of data invariably results in inaccuracies. Here, we proposed an integrated approach that combines machine learning and fuzzy logic mathematical methods, assessing the risks associated with chemical exposure from contaminated fish with the least amount of data entry possible. We predicted the concentrations of organic contaminants in the environment, serving as a baseline for quantifying the fuzzy risks during household thermal processing of the fish. With a mean R2 value of 0.78, concentration of chemicals in the aquatic environment emerged as the most influential factor in predicting bioconcentration factors. Heptachlor, Endosulfan-sulfate, Endrin, and Endrin aldehyde are four high-risk pesticides throughout the entire processing process compared to others. The findings underscore the importance of considering processing methods and environmental factors in order to ensure food safety. |
| format | Article |
| id | doaj-art-0cb23e7ae9754bc6a10bcbe7eecfe67d |
| institution | Kabale University |
| issn | 2214-7500 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Toxicology Reports |
| spelling | doaj-art-0cb23e7ae9754bc6a10bcbe7eecfe67d2024-12-19T10:54:52ZengElsevierToxicology Reports2214-75002024-12-0113101805Assessing human exposure to organic contaminants in fish: A modeling approach integrating chemical bioconcentration and food thermal processingJie Xiong0Yuan Zhang1Zijian Li2School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong 518107, ChinaSchool of Electronic Information and Communication Engineering, Sun Yat-sen University, Shenzhen, Guangzhou 518107, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong 518107, China; Corresponding author.An increasing number of chemicals found in the environment potentially pose a threat to organisms such as fish. Models for risk assessment are vital resources that enable possible measurements of the hazards associated with chemical exposure. Traditional monitoring techniques and experimental procedures, however, are unable to keep up with the compounds that are becoming more and more implicated in environmental problems. Furthermore, a significant amount of data invariably results in inaccuracies. Here, we proposed an integrated approach that combines machine learning and fuzzy logic mathematical methods, assessing the risks associated with chemical exposure from contaminated fish with the least amount of data entry possible. We predicted the concentrations of organic contaminants in the environment, serving as a baseline for quantifying the fuzzy risks during household thermal processing of the fish. With a mean R2 value of 0.78, concentration of chemicals in the aquatic environment emerged as the most influential factor in predicting bioconcentration factors. Heptachlor, Endosulfan-sulfate, Endrin, and Endrin aldehyde are four high-risk pesticides throughout the entire processing process compared to others. The findings underscore the importance of considering processing methods and environmental factors in order to ensure food safety.http://www.sciencedirect.com/science/article/pii/S2214750024001884Risk assessmentFood safetyBioconcentrationPlant protection product |
| spellingShingle | Jie Xiong Yuan Zhang Zijian Li Assessing human exposure to organic contaminants in fish: A modeling approach integrating chemical bioconcentration and food thermal processing Toxicology Reports Risk assessment Food safety Bioconcentration Plant protection product |
| title | Assessing human exposure to organic contaminants in fish: A modeling approach integrating chemical bioconcentration and food thermal processing |
| title_full | Assessing human exposure to organic contaminants in fish: A modeling approach integrating chemical bioconcentration and food thermal processing |
| title_fullStr | Assessing human exposure to organic contaminants in fish: A modeling approach integrating chemical bioconcentration and food thermal processing |
| title_full_unstemmed | Assessing human exposure to organic contaminants in fish: A modeling approach integrating chemical bioconcentration and food thermal processing |
| title_short | Assessing human exposure to organic contaminants in fish: A modeling approach integrating chemical bioconcentration and food thermal processing |
| title_sort | assessing human exposure to organic contaminants in fish a modeling approach integrating chemical bioconcentration and food thermal processing |
| topic | Risk assessment Food safety Bioconcentration Plant protection product |
| url | http://www.sciencedirect.com/science/article/pii/S2214750024001884 |
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