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Open AccessReview

Autonomous and In Situ Ocean Environmental Monitoring on Optofluidic Platform

by Fang Wang 1,2, Jiaomeng Zhu 1,2, Longfei Chen 1,2, Yunfeng Zuo 1,2, Xuejia Hu 1,2 and Yi Yang 1,2,*
1
Key Laboratory of Artificial Micro/Nano Structure of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, China
2
Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
*
Author to whom correspondence should be addressed.
Micromachines 2020, 11(1), 69; https://doi.org/10.3390/mi11010069
Received: 30 November 2019 / Revised: 2 January 2020 / Accepted: 7 January 2020 / Published: 8 January 2020
(This article belongs to the Special Issue Optofluidic Devices and Applications)
Determining the distributions and variations of chemical elements in oceans has significant meanings for understanding the biogeochemical cycles, evaluating seawater pollution, and forecasting the occurrence of marine disasters. The primary chemical parameters of ocean monitoring include nutrients, pH, dissolved oxygen (DO), and heavy metals. At present, ocean monitoring mainly relies on laboratory analysis, which is hindered in applications due to its large size, high power consumption, and low representative and time-sensitive detection results. By integrating photonics and microfluidics into one chip, optofluidics brings new opportunities to develop portable microsystems for ocean monitoring. Optofluidic platforms have advantages in respect of size, cost, timeliness, and parallel processing of samples compared with traditional instruments. This review describes the applications of optofluidic platforms on autonomous and in situ ocean environmental monitoring, with an emphasis on their principles, sensing properties, advantages, and disadvantages. Predictably, autonomous and in situ systems based on optofluidic platforms will have important applications in ocean environmental monitoring.
Keywords: optofluidics; ocean monitoring; colorimetric method optofluidics; ocean monitoring; colorimetric method
MDPI and ACS Style

Wang, F.; Zhu, J.; Chen, L.; Zuo, Y.; Hu, X.; Yang, Y. Autonomous and In Situ Ocean Environmental Monitoring on Optofluidic Platform. Micromachines 2020, 11, 69.

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