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

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ID: 14608
2019
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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.
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chouhan2019asensors Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chouhan, Raghuraj S;Žitko, Gregor;Fajon, Vesna;Živković, Igor;Pavlin, Majda;Berisha, Sabina;Jerman, Ivan;Vesel, Alenka;Horvat, Milena;
Journal sensors
Year 2019
DOI
E3432
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