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Biosensors and Bioelectronics
Article
License: CC BY
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Biosensors and Bioelectronics
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Detection of heavy metal by paper-based microfluidics

Authors: Yang, Lin; Dmitry, Gritsenko; Shaolong, Feng; Yi Chen, Teh; Xiaonan, Lu; Jie, Xu;

Detection of heavy metal by paper-based microfluidics

Abstract

Heavy metal pollution has shown great threat to the environment and public health worldwide. Current methods for the detection of heavy metals require expensive instrumentation and laborious operation, which can only be accomplished in centralized laboratories. Various microfluidic paper-based analytical devices have been developed recently as simple, cheap and disposable alternatives to conventional ones for on-site detection of heavy metals. In this review, we first summarize current development of paper-based analytical devices and discuss the selection of paper substrates, methods of device fabrication, and relevant theories in these devices. We then compare and categorize recent reports on detection of heavy metals using paper-based microfluidic devices on the basis of various detection mechanisms, such as colorimetric, fluorescent, and electrochemical methods. To finalize, the future development and trend in this field are discussed.

Keywords

Paper, Metals, Heavy, Animals, Humans, Environmental Pollutants, Equipment Design, Microfluidic Analytical Techniques, Environmental Monitoring

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    popularity
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    Top 1%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
233
Top 1%
Top 10%
Top 1%
hybrid