Weiwei Zhang, Limin Ma, Songsong Chen, Chong Chen, Chengcheng Bu, Jinpeng Yu, Ru Zhang, Yongzhi Wang, Haoyu Zeng, Yuchen Han
{"title":"温度、相对湿度和土壤有机碳含量对挥发性全氟辛烷磺酸土壤-空气分配系数的影响。","authors":"Weiwei Zhang, Limin Ma, Songsong Chen, Chong Chen, Chengcheng Bu, Jinpeng Yu, Ru Zhang, Yongzhi Wang, Haoyu Zeng, Yuchen Han","doi":"10.1016/j.scitotenv.2024.176987","DOIUrl":null,"url":null,"abstract":"<p><p>Soil-air partitioning coefficient (K<sub>SA</sub>) values are often used to assess the environmental fate of organic contaminants in soil. Till now, sufficient K<sub>SA</sub> values have not yet been measured for many compounds of interest, including some emerging pollutants such as volatile PFAS. Moreover, the effects of environmental factors such as temperature, relative humidity and soil organic carbon content on K<sub>SA</sub> of volatile PFAS are also unclear. In this study, the K<sub>SA</sub> values of target volatile PFAS were measured under various temperature (20-40 °C), relative humidity (30-100 %) and soil organic carbon content (2.1 %-8.0 %) using a modified solid-phase fugacity meter. The results showed that higher temperatures, higher relative humidity and lower organic carbon content in soil may accelerate the diffusion of target volatile PFAS. Furthermore, the K<sub>SA</sub> measurements were used to derive a multiple linear regression model to depict the relationship between logK<sub>SA</sub> and temperature, relative humidity, soil organic carbon content and PFAS-specific logK<sub>OA</sub>. When compared with the predictions obtained from semi-empirical model, we argued that the multiple linear regression model is more robust and easier to implement for target volatile PFAS or other emerging volatile PFAS than the semi-empirical approach to help depict the diffusion process at target volatile PFAS contaminated sites.</p>","PeriodicalId":422,"journal":{"name":"Science of the Total Environment","volume":null,"pages":null},"PeriodicalIF":8.2000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of temperature, relative humidity and soil organic carbon content on soil-air partitioning coefficients of volatile PFAS.\",\"authors\":\"Weiwei Zhang, Limin Ma, Songsong Chen, Chong Chen, Chengcheng Bu, Jinpeng Yu, Ru Zhang, Yongzhi Wang, Haoyu Zeng, Yuchen Han\",\"doi\":\"10.1016/j.scitotenv.2024.176987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Soil-air partitioning coefficient (K<sub>SA</sub>) values are often used to assess the environmental fate of organic contaminants in soil. Till now, sufficient K<sub>SA</sub> values have not yet been measured for many compounds of interest, including some emerging pollutants such as volatile PFAS. Moreover, the effects of environmental factors such as temperature, relative humidity and soil organic carbon content on K<sub>SA</sub> of volatile PFAS are also unclear. In this study, the K<sub>SA</sub> values of target volatile PFAS were measured under various temperature (20-40 °C), relative humidity (30-100 %) and soil organic carbon content (2.1 %-8.0 %) using a modified solid-phase fugacity meter. The results showed that higher temperatures, higher relative humidity and lower organic carbon content in soil may accelerate the diffusion of target volatile PFAS. Furthermore, the K<sub>SA</sub> measurements were used to derive a multiple linear regression model to depict the relationship between logK<sub>SA</sub> and temperature, relative humidity, soil organic carbon content and PFAS-specific logK<sub>OA</sub>. When compared with the predictions obtained from semi-empirical model, we argued that the multiple linear regression model is more robust and easier to implement for target volatile PFAS or other emerging volatile PFAS than the semi-empirical approach to help depict the diffusion process at target volatile PFAS contaminated sites.</p>\",\"PeriodicalId\":422,\"journal\":{\"name\":\"Science of the Total Environment\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.2000,\"publicationDate\":\"2024-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science of the Total Environment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1016/j.scitotenv.2024.176987\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/18 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of the Total Environment","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.scitotenv.2024.176987","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/18 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Effects of temperature, relative humidity and soil organic carbon content on soil-air partitioning coefficients of volatile PFAS.
Soil-air partitioning coefficient (KSA) values are often used to assess the environmental fate of organic contaminants in soil. Till now, sufficient KSA values have not yet been measured for many compounds of interest, including some emerging pollutants such as volatile PFAS. Moreover, the effects of environmental factors such as temperature, relative humidity and soil organic carbon content on KSA of volatile PFAS are also unclear. In this study, the KSA values of target volatile PFAS were measured under various temperature (20-40 °C), relative humidity (30-100 %) and soil organic carbon content (2.1 %-8.0 %) using a modified solid-phase fugacity meter. The results showed that higher temperatures, higher relative humidity and lower organic carbon content in soil may accelerate the diffusion of target volatile PFAS. Furthermore, the KSA measurements were used to derive a multiple linear regression model to depict the relationship between logKSA and temperature, relative humidity, soil organic carbon content and PFAS-specific logKOA. When compared with the predictions obtained from semi-empirical model, we argued that the multiple linear regression model is more robust and easier to implement for target volatile PFAS or other emerging volatile PFAS than the semi-empirical approach to help depict the diffusion process at target volatile PFAS contaminated sites.
期刊介绍:
The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere.
The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.