Fu Liu, Fan Fan, Qingmiao Yu, Hongqiang Ren and Jinju Geng*,
{"title":"不同的KOC和低质量的数据来源导致当前有机物迁移率评估的差异很大","authors":"Fu Liu, Fan Fan, Qingmiao Yu, Hongqiang Ren and Jinju Geng*, ","doi":"10.1021/acsestwater.4c00731","DOIUrl":null,"url":null,"abstract":"<p >The widespread distribution of persistent, mobile, and toxic organic chemicals (PMT) in aquatic environments poses a threat to water resources. Current mobility assessments rely on the organic carbon normalized adsorption coefficient (<i>K</i><sub>OC</sub>), but it is sometimes highly variable with sorptive phase (soil/sediment) properties. There is a common oversight that this variability causes assessment discrepancies. Herein, this variability was quantitatively evaluated based on compiled experimental <i>K</i><sub>OC</sub> data sets, which were obtained under OECD guidelines. The results show that both the average discrepancy rate and relative difference rate are nearly half of those of the substances among recent reports. The underlying reasons are high <i>K</i><sub>OC</sub> variability and poor-quality assessment data sources which fail to capture this variability. The variation in <i>K</i><sub>OC</sub> values for one-third of the charged organic compounds is more than 1 order of magnitude, around twice higher than that of neutral organic compounds. The <i>K</i><sub>OC</sub> values from common integrated databases or available quantitative structure–property relationships all have almost orders of magnitude differences compared with data sets, especially for charged compounds. The insights presented here have significant value in the future development of a proper mobility assessment.</p>","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"5 2","pages":"659–669 659–669"},"PeriodicalIF":4.3000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Variable KOC and Poor-Quality Data Sources Cause High Discrepancy in Current Mobility Assessment of Organic Substances\",\"authors\":\"Fu Liu, Fan Fan, Qingmiao Yu, Hongqiang Ren and Jinju Geng*, \",\"doi\":\"10.1021/acsestwater.4c00731\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >The widespread distribution of persistent, mobile, and toxic organic chemicals (PMT) in aquatic environments poses a threat to water resources. Current mobility assessments rely on the organic carbon normalized adsorption coefficient (<i>K</i><sub>OC</sub>), but it is sometimes highly variable with sorptive phase (soil/sediment) properties. There is a common oversight that this variability causes assessment discrepancies. Herein, this variability was quantitatively evaluated based on compiled experimental <i>K</i><sub>OC</sub> data sets, which were obtained under OECD guidelines. The results show that both the average discrepancy rate and relative difference rate are nearly half of those of the substances among recent reports. The underlying reasons are high <i>K</i><sub>OC</sub> variability and poor-quality assessment data sources which fail to capture this variability. The variation in <i>K</i><sub>OC</sub> values for one-third of the charged organic compounds is more than 1 order of magnitude, around twice higher than that of neutral organic compounds. The <i>K</i><sub>OC</sub> values from common integrated databases or available quantitative structure–property relationships all have almost orders of magnitude differences compared with data sets, especially for charged compounds. The insights presented here have significant value in the future development of a proper mobility assessment.</p>\",\"PeriodicalId\":93847,\"journal\":{\"name\":\"ACS ES&T water\",\"volume\":\"5 2\",\"pages\":\"659–669 659–669\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS ES&T water\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acsestwater.4c00731\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS ES&T water","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsestwater.4c00731","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Variable KOC and Poor-Quality Data Sources Cause High Discrepancy in Current Mobility Assessment of Organic Substances
The widespread distribution of persistent, mobile, and toxic organic chemicals (PMT) in aquatic environments poses a threat to water resources. Current mobility assessments rely on the organic carbon normalized adsorption coefficient (KOC), but it is sometimes highly variable with sorptive phase (soil/sediment) properties. There is a common oversight that this variability causes assessment discrepancies. Herein, this variability was quantitatively evaluated based on compiled experimental KOC data sets, which were obtained under OECD guidelines. The results show that both the average discrepancy rate and relative difference rate are nearly half of those of the substances among recent reports. The underlying reasons are high KOC variability and poor-quality assessment data sources which fail to capture this variability. The variation in KOC values for one-third of the charged organic compounds is more than 1 order of magnitude, around twice higher than that of neutral organic compounds. The KOC values from common integrated databases or available quantitative structure–property relationships all have almost orders of magnitude differences compared with data sets, especially for charged compounds. The insights presented here have significant value in the future development of a proper mobility assessment.