Ultrasensitive and simultaneous detection of heavy metal ions based on three-dimensional graphene-carbon nanotubes hybrid electrode materials

2014 ◽  
Vol 852 ◽  
pp. 45-54 ◽  
Author(s):  
Hui Huang ◽  
Ting Chen ◽  
Xiuyu Liu ◽  
Houyi Ma
2021 ◽  
Vol 56 (13) ◽  
pp. 8172-8185
Author(s):  
Manh B. Nguyen ◽  
Dau Thi Ngoc Nga ◽  
Vu Thi Thu ◽  
Benoît Piro ◽  
Thuan Nguyen Pham Truong ◽  
...  

2019 ◽  
Vol 18 (02) ◽  
pp. 1850019
Author(s):  
Huiyuan Yu ◽  
Jiayi Zhu ◽  
Hongbo Ren ◽  
Shuxin Liu

Graphene-based aerogels with a three-dimensional interconnected network were fabricated via the hydrothermal self-assembly and thermal-annealing process. The aerogels were characterized by means of scanning electron microscopy and atomic absorption spectroscopy. The graphene-based aerogels showed highly porous structure and adsorption capacity for heavy metal ions. Thus, they would be the promising materials for removal of heavy metal ions from water.


2017 ◽  
Vol 100 (2) ◽  
pp. 560-565 ◽  
Author(s):  
Jibran Iqbal ◽  
Yiping Du ◽  
Fares Howari ◽  
Mahmoud Bataineh ◽  
Nawshad Muhammad ◽  
...  

Abstract Sensitive detection of heavy metal ions in water is of great importance considering the effects that heavy metals have on public health. A developed fluidized bed enrichment technique was used to concentrate and detect low concentrations of Cu2+, Co2+, and Ni2+ in water samples by near-IR diffuse reflectance (NIDR) spectroscopy (NIDRS) directly without using any chemicals or reagents. The NIDR spectraof adsorbent were measured on-line, and quantitative detection was achieved by applying a built partial least-squares chemometric model. Sensitivity and accuracy was improved significantly because large-volume mixture solutions were used in the enrichment process. Root mean square error of cross-validation values for Cu2+, Co2+, and Ni2+ were 0.29, 0.41, and 0.35 μg/mL, respectively, with mean relative error values in the acceptable range of 6.56–10.27%. This study confirms the potential application of fluidized bed enrichment combined with NIDRS and chemometrics for the simultaneous detection of trace heavy metal ions in water, with low relative error.


Author(s):  
Xiaoyun Xu ◽  
Xiaoyi Lv ◽  
Fei Tan ◽  
Yanping Li ◽  
Chao Geng ◽  
...  

Abstract An efficient and sensitive electrochemical sensor for simultaneous detection of heavy metal ions was developed based on furfural/reduced graphene oxide composites (FF/RGO). The preparation of FF/RGO were performed through a one-step high-pressure assisted hydrothermal treatment, which is recommended as a green, convenient, and efficient way for the reduction of graphene oxide and the production of FF/RGO composites. RGO not only serves as the skeleton for furfural loading but also improves the conductivity of the composites in the matrix. FF/RGO with large specific surface area and abundant oxygen-containing functional groups was used to provide more binding sites for the effificient adsorption of heavy-metal ions due to the interaction between hydrophilic groups (-COOH, -OH, and -CHO) and metal cations. The developed sensor showed identifiable electrochemical response toward the heavy metal ions separately and simultaneously, exhibiting superior stability, outstanding sensitivity, selectivity and excellent analytical performance. Impressively, the sensor developed in this experiment has been successfully applied to the simultaneous determination of various heavy metal ions in actual samples, which has definitely exhibited a promising prospect in practical application.


2015 ◽  
Vol 448 ◽  
pp. 347-355 ◽  
Author(s):  
Xin Ma ◽  
Sheng-Tao Yang ◽  
Huan Tang ◽  
Yuanfang Liu ◽  
Haifang Wang

2020 ◽  
Vol 34 (32) ◽  
pp. 2050368
Author(s):  
Z. Zhu ◽  
L. An ◽  
T. Chen ◽  
X. Jia

In order to explore new ways to detect and remove heavy metal ions from industrial wastewater, the first-principles method based on density functional theory has been used to investigate the performance of carbon nanotubes (CNTs) in adsorbing divalent heavy metal ions which include Zn[Formula: see text], Cu[Formula: see text], Pb[Formula: see text] and Sn[Formula: see text]. Results show that the adsorption of Zn[Formula: see text] on CNTs is weak and only physical adsorption forms between them. However, for Cu[Formula: see text], Pb[Formula: see text] and Sn[Formula: see text], the final adsorption distance with CNTs is greatly decreased, and the adsorption energy and charge transfer amount with CNTs are significantly increased. In addition, the charge density of Cu[Formula: see text], Pb[Formula: see text] and Sn[Formula: see text] overlaps effectively with that of CNTs. These indicate the formation of strong chemisorption between these ions and CNTs. Therefore, CNTs could be used as a sensing material to detect and remove Cu[Formula: see text], Pb[Formula: see text] and Sn[Formula: see text] from wastewater. The research provides theoretical guidance for the application of CNTs in heavy metal ions treatment.


RSC Advances ◽  
2015 ◽  
Vol 5 (129) ◽  
pp. 106905-106911 ◽  
Author(s):  
Zeid A. ALOthman ◽  
Erkan Yilmaz ◽  
Mohamed A. Habila ◽  
Ibrahim H. Alsohaimi ◽  
Abdullah M. Aldawsari ◽  
...  

Triethylenetetramine modified multiwalled carbon nanotubes (TETA-MWCNTs) were prepared and used as an efficient adsorbent for the solid phase extraction of heavy metal ions.


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