BookR: School of Health Core Facilities Booking
PubMed Publications| Keyword search (4,164 papers available) |  |
"Wang C" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Solid solvation structure design improves all-solid-state organic batteries | Hu Y; Su H; Fu J; Luo J; Yu Q; Zhao F; Li W; Deng S; Liu Y; Yuan Y; Gan Y; Wang Y; Kim JT; Chen N; Shakouri M; Hao X; Gao Y; Pang T; Zhang N; Jiang M; Li X; Zhao Y; Tu J; Wang C; Sun X; | 40759737 ENCS |
| 2 | Strategies to Reduce Uncertainties from the Best Available Physicochemical Parameters Used for Modeling Novel Organophosphate Esters across Multimedia Environments | Xing C; Ge J; Chen R; Li S; Wang C; Zhang X; Geng Y; Jones KC; Zhu Y; | 40105294 CHEMBIOCHEM |
| 3 | Two-dimensional Nanosheets by Liquid Metal Exfoliation | Bai Y; Xu Y; Sun L; Ward Z; Wang H; Ratnayake G; Wang C; Zhao M; He H; Gao J; Wu M; Lu S; Bepete G; Peng D; Liu B; Kang F; Terrones H; Terrones M; Lei Y; | 39707650 PHYSICS |
| 4 | Brain tumor detection based on a novel and high-quality prediction of the tumor pixel distributions | Sun Y; Wang C; | 38493601 ENCS |
| 5 | Surfactant-enhanced mobilization of persistent organic pollutants: Potential for soil and sediment remediation and unintended consequences | Bolan S; Padhye LP; Mulligan CN; Alonso ER; Saint-Fort R; Jasemizad T; Wang C; Zhang T; Rinklebe J; Wang H; Siddique KHM; Kirkham MB; Bolan N; | 36265382 ENCS |
| 6 | Altered immunometabolism in adipose tissue: a major contributor to the ageing process? | Delaney KZ; Gillespie ZE; Murphy J; Wang C; | 34159597 PERFORM |
| 7 | Association between rs174537 FADS1 polymorphism and immune cell profiles in abdominal and femoral subcutaneous adipose tissue: an exploratory study in adults with obesity | Wang C; Murphy J; Delaney KZ; Khor N; Morais JA; Tsoukas MA; Lowry DE; Mutch DM; Santosa S; | 33595419 PERFORM |
| 8 | Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure. | Commowick O, Istace A, Kain M, Laurent B, Leray F, Simon M, Pop SC, Girard P, Améli R, Ferré JC, Kerbrat A, Tourdias T, Cervenansky F, Glatard T, Beaumont J, Doyle S, Forbes F, Knight J, Khademi A, Mahbod A, Wang C, McKinley R, Wagner F, Muschelli J, Sweeney E, Roura E, Lladó X, Santos MM, Santos WP, Silva-Filho AG, Tomas-Fernandez X, Urien H, Bloch I, Valverde S, Cabezas M, Vera-Olmos FJ, Malpica N, Guttmann C, Vukusic S, Edan G, Dojat M, Styner M, Warfield SK, Cotton F, Barillot C | 30209345 ENCS |
| Title: | Strategies to Reduce Uncertainties from the Best Available Physicochemical Parameters Used for Modeling Novel Organophosphate Esters across Multimedia Environments | ||||
| Authors: | Xing C, Ge J, Chen R, Li S, Wang C, Zhang X, Geng Y, Jones KC, Zhu Y | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/40105294/ | ||||
| DOI: | 10.1021/acs.est.4c11028 | ||||
| Publication: | Environmental science & technology | ||||
| Keywords: | environmental multimedia distribution; novel organophosphate esters; octanol-air partition coefficient (Koa); octanol-water partition coefficient (Kow); overall persistence; physicochemical properties; vapor pressure (Vp); water solubility (Sw); | ||||
| PMID: | 40105294 | Category: | Date Added: | 2025-03-19 | |
| Dept Affiliation: |
CHEMBIOCHEM
1 School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. 2 The Key Laboratory of Environmental Health Impact Assessment for Emerging Pollutants, Ministry of Ecology and Environment of the People's Republic of China, Shanghai 200240, China. 3 Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China. 4 Department of Chemistry and Biochemistry, Concordia University, 7141 Sherbrooke Street West, Montreal, Quebec H4B 1R6, Canada. 5 Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, United Kingdom. |
||||
Description: |
Organophosphate esters (OPEs) raise growing environmental and human health concerns globally. However, numerous novel OPEs lack data on physicochemical properties, which are essential for assessing environmental fate, exposure, and risks. This study predicted water solubility (Sw), vapor pressure (Vp), octanol-water partition coefficient (Kow), and octanol-air partition coefficient (Koa) at 25 °C for 46 novel OPEs by identifying optimal in silico tools and establishing prediction strategies based on molecular weights (MWs). Prediction discrepancies between in silico tools increased with MWs and structural complexity. Method evaluations for compounds with MWs > 450 g/mol suggest that COSMOtherm is advantageous in predicting Sw and Vp for alkyl-OPEs, while SPARC is better for predicting Vp for aryl- and halogenated-OPEs. For compounds with MWs > 500 g/mol, COSMOtherm and SPARC are recommended for Kow and Koa prediction, respectively. For smaller OPEs, average values from the top three of COSMOtherm, SPARC, EPI Suite, and OPERA, ranked by validation on traditional flame retardants, are recommended. Using improper software could cause deviations in multimedia distribution and overall persistence in the environment by up to 83 and 350%, respectively. The present data and prediction strategy are useful to enhance the reliability of environmental fate, exposure, and risk assessments of various OPEs and emerging contaminants. |
