Fluorescence detection and removal of copper from water using a biobased and biodegradable 2D soft material

Meng Li; Zhijiang Liu; Shuwen Wang; David G. Calatayud; Wei Hong Zhu; Tony D. James; Lidong Wang; Boyang Mao; Hui Ning Xiao

doi:10.1039/c7cc08035b

Fluorescence detection and removal of copper from water using a biobased and biodegradable 2D soft material

Meng Li, Zhijiang Liu, Shuwen Wang, David G. Calatayud, Wei Hong Zhu, Tony D. James^*, Lidong Wang, Boyang Mao, Hui Ning Xiao

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

We have developed a green and robust fluorogenic (λ_ex = 410 nm, λ_em = 510 nm) cellulose membrane using graphene oxide (GO) as a construct for simultaneous copper ion recognition and filtration at environmentally relevant levels. The detection limit and removal limit of Cu²⁺ are 7.3 × 10^-7 M and 1000 ppm, respectively. The simplicity and scalability achieved for the detection and removal of metal ions in waste water is particularly noteworthy given the significant problems associated with metal ion pollution of drinking water.

Original language	English
Pages (from-to)	184-187
Number of pages	4
Journal	Chemical Communications
Volume	54
Issue number	2
Early online date	24 Nov 2017
DOIs	https://doi.org/10.1039/c7cc08035b
Publication status	Published - 2018

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National Graphene Institute

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10.1039/c7cc08035bLicence: CC BY

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abstract = "We have developed a green and robust fluorogenic (λex = 410 nm, λem = 510 nm) cellulose membrane using graphene oxide (GO) as a construct for simultaneous copper ion recognition and filtration at environmentally relevant levels. The detection limit and removal limit of Cu2+ are 7.3 × 10-7 M and 1000 ppm, respectively. The simplicity and scalability achieved for the detection and removal of metal ions in waste water is particularly noteworthy given the significant problems associated with metal ion pollution of drinking water.",

author = "Meng Li and Zhijiang Liu and Shuwen Wang and Calatayud, {David G.} and Zhu, {Wei Hong} and James, {Tony D.} and Lidong Wang and Boyang Mao and Xiao, {Hui Ning}",

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T1 - Fluorescence detection and removal of copper from water using a biobased and biodegradable 2D soft material

AU - Li, Meng

AU - Liu, Zhijiang

AU - Wang, Shuwen

AU - Calatayud, David G.

AU - Zhu, Wei Hong

AU - James, Tony D.

AU - Wang, Lidong

AU - Mao, Boyang

AU - Xiao, Hui Ning

PY - 2018

Y1 - 2018

N2 - We have developed a green and robust fluorogenic (λex = 410 nm, λem = 510 nm) cellulose membrane using graphene oxide (GO) as a construct for simultaneous copper ion recognition and filtration at environmentally relevant levels. The detection limit and removal limit of Cu2+ are 7.3 × 10-7 M and 1000 ppm, respectively. The simplicity and scalability achieved for the detection and removal of metal ions in waste water is particularly noteworthy given the significant problems associated with metal ion pollution of drinking water.

AB - We have developed a green and robust fluorogenic (λex = 410 nm, λem = 510 nm) cellulose membrane using graphene oxide (GO) as a construct for simultaneous copper ion recognition and filtration at environmentally relevant levels. The detection limit and removal limit of Cu2+ are 7.3 × 10-7 M and 1000 ppm, respectively. The simplicity and scalability achieved for the detection and removal of metal ions in waste water is particularly noteworthy given the significant problems associated with metal ion pollution of drinking water.

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U2 - 10.1039/c7cc08035b

DO - 10.1039/c7cc08035b

M3 - Article

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VL - 54

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EP - 187

JO - Chemical Communications

JF - Chemical Communications

IS - 2

ER -

Fluorescence detection and removal of copper from water using a biobased and biodegradable 2D soft material

Abstract

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