4.7 Article

Insight into selected emerging micropollutant interactions with wastewater colloidal organic carbon: implications for water treatment and analysis

期刊

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 28, 期 42, 页码 59368-59381

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-020-11309-7

关键词

Wastewater analysis; Colloidal organic carbon interactions; Emerging micropollutants; Molecular descriptors; Structure activity relationship

资金

  1. Ministry of Education, Science and Technological Development [451-03-68/2020-14/200125]
  2. ARRS [P1-0143, L17544, N1-0047, J2-8162, L7-1848]
  3. EMPIR WFD-EDC project

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This study investigated the impact of adding a membrane filter between a glass fibre filter and the solid phase extraction (SPE) cartridge on the GC/MS analysis of 48 emerging organic micropollutants in wastewater. The results showed varying effects of the additional filtration step on the analysis, with positive, negative, and no effects observed depending on the concentration and nature of the analytes. Compounds with stronger interactions with colloidal OC were found to have higher hydrogen bond donor ability and larger molar volume.
This study reports how adding a membrane filter (0.45-mu m cellulose nitrate filter) between a glass fibre filter and the solid phase extraction (SPE) cartridge affected the GC/MS analysis of 48 emerging organic micropollutants in wastewater. Most of them are widely used as active pharmaceuticals, cosmetic and packaging material ingredients including classes of parabens, benzophenones and bisphenols among other chemicals tested. A high artificial organic carbon (OC) content in wastewater (DOC = 280 +/- 14 mg/L) was investigated to gain insight into micropollutants/colloidal OC filter cake interactions. The results show that even with the use of matrix-matched calibration, the introduction of a second (membrane) filtration step can affect the analysis. Both positive, negative and no effects on the theoretical concentrations calculated from the calibration curves with and without additional filtration were observed. Positive effects on the concentration for the same analyte peak area relative to its surrogate standard were the consequence of a reduced signal for the same concentration, while the negative effects are the consequence of increasing signal for the same concentration. Effect types were dependent on the concentration and the nature of the analytes. Results show that bisphenols and parabens significantly interact with colloidal OC. Statistical analysis of molecular descriptor distribution with effect type showed that micropollutants that have a stronger interaction with colloidal OC have significantly higher ability to act as hydrogen bond donors (HBD) and have larger molar volume (MV). All compounds that experienced either positive or negative effects have a significantly higher median logD. However, further exploration within a single class of compounds (parabens, benzophenones and bisphenols) revealed that selected descriptors are unrelated to an effect type. Pearson's correlations showed that a correlation exists for certain concentration levels and groups of compounds between a negative effect and MV and logD and a positive effect with MV, MW and rotatable bond (RB) count.

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