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Sensors 2013, 13(10), 13928-13948; doi:10.3390/s131013928
Review

Recent Advances in Optical Biosensors for Environmental Monitoring and Early Warning

1,* , 2
 and
3,*
1 School of Environment and Natural Resources, Renmin University of China, No.59, Zhongguancun Street, Haidian District, Beijing 100872, China 2 Research Institute of Chemical Defence, No.1, Huanyin Street, Changping District, Beijing 100872, China 3 State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, No.1, Tsinghua Yuan, Haidian District, Beijing 100872, China
* Authors to whom correspondence should be addressed.
Received: 11 July 2013 / Revised: 20 September 2013 / Accepted: 5 October 2013 / Published: 15 October 2013
(This article belongs to the Section Biosensors)
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Abstract

The growing number of pollutants requires the development of innovative analytical devices that are precise, sensitive, specific, rapid, and easy-to-use to meet the increasing demand for legislative actions on environmental pollution control and early warning. Optical biosensors, as a powerful alternative to conventional analytical techniques, enable the highly sensitive, real-time, and high-frequency monitoring of pollutants without extensive sample preparation. This article reviews important advances in functional biorecognition materials (e.g., enzymes, aptamers, DNAzymes, antibodies and whole cells) that facilitate the increasing application of optical biosensors. This work further examines the significant improvements in optical biosensor instrumentation and their environmental applications. Innovative developments of optical biosensors for environmental pollution control and early warning are also discussed.
Keywords: optical biosensor; environmental pollution control; nanosensor; biomolecules optical biosensor; environmental pollution control; nanosensor; biomolecules
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Long, F.; Zhu, A.; Shi, H. Recent Advances in Optical Biosensors for Environmental Monitoring and Early Warning. Sensors 2013, 13, 13928-13948.

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