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A Low-Cost Microfluidic Method for Microplastics Identification: Towards Continuous Recognition.
Mesquita, Pedro; Gong, Liyuan; Lin, Yang.
  • Mesquita P; Department of Mechanical, Industrial and Systems Engineering, University of Rhode Island, Kingston, RI 02881, USA.
  • Gong L; Department of Mechanical, Industrial and Systems Engineering, University of Rhode Island, Kingston, RI 02881, USA.
  • Lin Y; Department of Mechanical, Industrial and Systems Engineering, University of Rhode Island, Kingston, RI 02881, USA.
Micromachines (Basel) ; 13(4)2022 Mar 23.
Article in English | MEDLINE | ID: covidwho-1810026
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 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.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Year: 2022 Document Type: Article Affiliation country: Mi13040499

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Full text: Available Collection: International databases Database: MEDLINE Language: English Year: 2022 Document Type: Article Affiliation country: Mi13040499