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Molecular dissolved organic matter removal by cotton-based adsorbents and characterization using high-resolution mass spectrometry

机译:用棉花的吸附剂除去分子溶解有机物质和使用高分辨率质谱法的表征

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摘要

This research investigates the characteristics of dissolved organic matter (DOM) removal by synthesized cotton-fiber adsorbents using unknown screening analysis with high resolution and accurate mass spectrometry. Molecular characteristics of DOM removed by adsorbents were investigated semiquantitatively and unknown disinfection byproduct (DBP) formation potentials were also investigated. Adsorbents were modified using ferric nitrate to increase the magnetic property. The XRD pattern showed Fe-containing crystalline structures in the modified adsorbent (M-CF). The M-CF possessed higher mesopore volume, which enhanced the dissolved organic carbon (DOC) removal efficiency to 74.50% (compared to 32.12% in the unmodified CF adsorbent). The kinetics experiment showed that both adsorbents were better fitted to pseudo-second orders than pseudo-first orders. The initial rate constant was higher in M-CF (1.40 mg/g min) than in CF (0.02 mg/g min) treatments due to the higher mesopore volume in M-CF. M-CF removed almost 700 carbon-hydrogen-oxygen based DOMs (CHO features), 300 more CHO features than CF. CF selectively adsorbed only higher-molecular-weight (MW) CHO features (more CH_2 groups), while the mesopores in M-CF removed DOM with lower MW (fewer CH_2 groups) that were refractory to CF. The low MW DOM removed only by M-CF mesopore exhibited more oxidized (positive carbon oxidation state, C_(os)) and saturated characters (negative oxygen-subtracted double bond equivalent per carbon, (DBE-O)/C). After chlorination, over 50 unknown DBPs were detected, 33 of which were commonly found in all samples. M-CF decreased unknown formation potential more than CF. However, adsorption of M-CF and CF before chlorination resulted in different remaining precursors to water chlorination and formed unique DBPs from those precursors.
机译:本研究研究了使用具有高分辨率和精确质谱法的未知筛选分析,通过合成的棉纤维吸附剂除去溶解有机物质(DOM)除去的特性。研究了通过吸附剂除去的Dom的分子特性,并研究了未知的消毒副产物(DBP)形成电位。使用硝酸铁改性吸附剂以增加磁性。 XRD图案在改性吸附剂(M-CF)中显示出Fe的结晶结构。 M-CF具有更高的中孔体积,其增强了溶解的有机碳(DOC)去除效率至74.50%(相比未修饰的CF吸附剂中的32.12%)。动力学实验表明,两种吸附剂都比伪第一订单更好地安装到伪二次订单。由于M-CF中的较高的中孔体积,M-CF(1.40mg / g min)的初始速率常数高于CF(0.02mg / g min)处理。 M-CF除以700个碳 - 氢 - 氧基的DOM(CHO功能),比CF更多的CHO功能。 CF仅选择性吸附高分子量(MW)CHO特征(更多CH_2组),而M-CF中的中孔除去具有难以解决CF的低MW(更少CH_2组)的DOM。仅由M-CF中孔移除的低MW DOM表现出更多氧化(正碳氧化态,C_(OS))和饱和性(每种碳的负氧 - 减去双键等效物,(DBE-O)/ c)。氯化后,检测到超过50个未知的DBPS,其中33种常见于所有样品中。 M-CF减少了未知的形成潜力超过CF。然而,氯化前的M-CF和CF的吸附导致水氯化的不同剩余前体,并从这些前体形成独特的DBPS。

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  • 来源
    《The Science of the Total Environment 》 |2021年第2期| 142074.1-142074.11| 共11页
  • 作者单位

    Department of Environmental Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Research Program in Control of Hazardous Contaminants in Raw Water Resources for Water Scarcity Resilience Center of Excellence on Hazardous Substance Management (HSM) Chulalongkorn University Bangkok 10330 Thailand;

    Department of Chemistry Faculty of Science Chiang Mai University Chiang Mai 50200 Thailand Environmental Science Research Center (ESRC) Faculty of Science Chiang Mai University Chiang Mai 50200 Thailand;

    Department of Environmental Engineering Faculty of Engineering and Research Center for Environmental and Hazardous Substance Management Khon Kaen University Khon Kaen 40002 Thailand Center of Excellence on Hazardous Substance Management (HSM) Chulalongkom University Bangkok 10330 Thailand;

    Department of Environmental Engineering Faculty of Engineering and Research Center for Environmental and Hazardous Substance Management Khon Kaen University Khon Kaen 40002 Thailand Center of Excellence on Hazardous Substance Management (HSM) Chulalongkom University Bangkok 10330 Thailand;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Carbon fiber adsorbent; Magnetized sorbent; Molecular characterization; Orbitrap mass spectrometry; Unknown disinfection by-products; Unknown screening analysis;

    机译:碳纤维吸附剂;磁化吸附剂;分子表征;露天射体质谱;未知的消毒副产品;未知的筛选分析;

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