Microfluidics for Environmental Monitoring

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E:Engineering and Technology".

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 10513

Special Issue Editor

Department of Mechanical, Industrial, and Systems Engineering, University of Rhode Island, Kingston, RI 02881, USA
Interests: microfluidic sensors; additive manufacturing; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With continuously growing anthropogenic activities resulting from worldwide civilization and industrialization, environmental pollution has become a global threat nowadays. As a result, great efforts have been made to develop effective techniques for environmental monitoring and assessment that aim to determine current environmental conditions, track trends and suggest potential solutions for environmental pollution. In particular, microfluidic technologies hold great promise in this regard, especially for in situ and real-time assessment when conventional laboratory methods based on bulky equipment are not readily accessible. At present, the focus of microfluidic environmental monitoring has been given to a wide spectrum of applications including air monitoring, water monitoring, waste monitoring, and advanced monitoring based on remote sensing and artificial intelligence. In addition, emerging microfluidic technologies such as paper-based microfluidics, 3D printed microfluidics, automated microfluidics, digital microfluidics, acoustofluidics and magnetofluidics have also been extensively explored for this purpose. Thus, this Special Issue of Micromachines on “Microfluidics for Environmental Monitoring” is dedicated to the collection of state-of-the-art work on the field of environmental monitoring using microfluidic or lab-on-a-chip technologies. Short communications with originality on relevant topics, review articles, and full research papers, from both industry and academia, are warmly welcomed.

Look forward to receiving your submissions!

Dr. Yang Lin
Guest Editor

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Keywords

  • microfluidics
  • environmental monitoring
  • sensing
  • separation
  • lab-on-chips

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Published Papers (2 papers)

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Research

14 pages, 5469 KiB  
Article
A Low-Cost Microfluidic Method for Microplastics Identification: Towards Continuous Recognition
by Pedro Mesquita, Liyuan Gong and Yang Lin
Micromachines 2022, 13(4), 499; https://doi.org/10.3390/mi13040499 - 23 Mar 2022
Cited by 19 | Viewed by 4689
Abstract
Plastic pollution has emerged as a growing concern worldwide. In particular, the most abundant plastic debris, microplastics, has necessitated the development of rapid and effective identification methods to track down the stages and evidence of the pollution. In this paper, we combine low-cost [...] Read more.
Plastic pollution has emerged as a growing concern worldwide. In particular, the most abundant plastic debris, microplastics, has necessitated the development of rapid and effective identification methods to track down the stages and evidence of the pollution. In this paper, we combine low-cost plastic staining technologies using Nile Red with the continuous feature offered by microfluidics to propose a low-cost 3D printed device for the identification of microplastics. It is observed that the microfluidic devices indicate comparable staining and identification performance compared to conventional Nile Red staining processes while offering the advantages of continuous recognition for long-term environmental monitoring. The results also show that concentration, temperature, and residency time possess strong effects on the identification performance. Finally, various microplastics have been applied to further demonstrate the effectiveness of the proposed devices. It is found that, among different types of microplastics, non-spherical microplastics show the maximal fluorescence level. Meanwhile, natural fibers indicate better staining quality when compared to synthetic ones. Full article
(This article belongs to the Special Issue Microfluidics for Environmental Monitoring)
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16 pages, 4042 KiB  
Article
A Monolithic 3D Printed Axisymmetric Co-Flow Single and Compound Emulsion Generator
by Amirreza Ghaznavi, Yang Lin, Mark Douvidzon, Adam Szmelter, Alannah Rodrigues, Malik Blackman, David Eddington, Tal Carmon, Lev Deych, Lan Yang and Jie Xu
Micromachines 2022, 13(2), 188; https://doi.org/10.3390/mi13020188 - 26 Jan 2022
Cited by 6 | Viewed by 4934
Abstract
We report a microfluidic droplet generator which can produce single and compound droplets using a 3D axisymmetric co-flow structure. The design considered for the fabrication of the device integrated a user-friendly and cost-effective 3D printing process. To verify the performance of the device, [...] Read more.
We report a microfluidic droplet generator which can produce single and compound droplets using a 3D axisymmetric co-flow structure. The design considered for the fabrication of the device integrated a user-friendly and cost-effective 3D printing process. To verify the performance of the device, single and compound emulsions of deionized water and mineral oil were generated and their features such as size, generation frequency, and emulsion structures were successfully characterized. In addition, the generation of bio emulsions such as alginate and collagen aqueous droplets in mineral oil was demonstrated in this study. Overall, the monolithic 3D printed axisymmetric droplet generator could offer any user an accessible and easy-to-utilize device for the generation of single and compound emulsions. Full article
(This article belongs to the Special Issue Microfluidics for Environmental Monitoring)
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