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一种基于独特交互式纳米结构编织的被动式采样吸附剂,用于监测水中的汞。

A Unique Interactive Nanostructure Knitting based Passive Sampler Adsorbent for Monitoring of Hg in Water.

作者信息

Chouhan Raghuraj S, Žitko Gregor, Fajon Vesna, Živković Igor, Pavlin Majda, Berisha Sabina, Jerman Ivan, Vesel Alenka, Horvat Milena

机构信息

Institute "Jožef Stefan", Department of Environmental Sciences, Jamova 39, 1000 Ljubljana, Slovenia.

Institute "Jožef Stefan", Department of Surface Engineering, Jamova 39, 1000 Ljubljana, Slovenia.

出版信息

Sensors (Basel). 2019 Aug 5;19(15):3432. doi: 10.3390/s19153432.

Abstract

This work reports the development of ultralight interwoven ultrathin graphitic carbon nitride (g-CN) nanosheets for use as a potential adsorbent in a passive sampler (PAS) designed to bind Hg ions. The g-CN nanosheets were prepared from bulk g-CN synthesised via a modified high-temperature short-time (HTST) polycondensation process. The crystal structure, surface functional groups, and morphology of the g-CN nanosheets were characterised using a battery of instruments. The results confirmed that the as-synthesized product is composed of few-layered nanosheets. The adsorption efficiency of g-CN for binding Hg (100 ng mL) in sea, river, rain, and Milli-Q quality water was 89%, 93%, 97%, and 100%, respectively, at natural pH. Interference studies found that the cations tested (Co, Ca, Zn, Fe, Mn, Ni, Bi, Na, and K) had no significant effect on the adsorption efficiency of Hg. Different parameters were optimised to improve the performance of g-CN such as pH, contact time, and amount of adsorbent. Optimum conditions were pH 7, 120 min incubation time and 10 mg of nanosheets. The yield of nanosheets was 72.5%, which is higher compared to other polycondensation processes using different monomers. The g-CN sheets could also be regenerated up to eight times with only a 20% loss in binding efficiency. Overall, nano-knitted g-CN is a promising low-cost green adsorbent for use in passive samplers or as a transducing material in sensor applications.

摘要

本研究报道了超轻交织超薄石墨相氮化碳(g-CN)纳米片的开发,其用作被动采样器(PAS)中潜在的吸附剂,用于结合汞离子。g-CN纳米片由通过改进的高温短时(HTST)缩聚工艺合成的块状g-CN制备而成。使用一系列仪器对g-CN纳米片的晶体结构、表面官能团和形态进行了表征。结果证实,合成产物由少层纳米片组成。在天然pH值下,g-CN对海水中、河水中、雨水中以及超纯水(Milli-Q)中汞(100 ng/mL)的吸附效率分别为89%、93%、97%和100%。干扰研究发现,所测试的阳离子(Co、Ca、Zn、Fe、Mn、Ni、Bi、Na和K)对汞的吸附效率没有显著影响。对不同参数进行了优化,以提高g-CN的性能,如pH值、接触时间和吸附剂用量。最佳条件为pH值7、孵育时间120分钟和10毫克纳米片。纳米片的产率为72.5%,与使用不同单体的其他缩聚工艺相比更高。g-CN片材还可以再生多达八次,而结合效率仅损失20%。总体而言,纳米编织g-CN是一种有前景的低成本绿色吸附剂,可用于被动采样器或作为传感器应用中的传感材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f205/6696128/d170c76e338a/sensors-19-03432-sch001.jpg

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