A Rapid Method for Detecting Microplastics Based on Fluorescence Lifetime Imaging Technology (FLIM)
With the increasing use and release of plastic products, microplastics have rapidly accumulated in ecological environments. When microplastics enter the food chain, they cause serious harm to organisms and humans. Microplastics pollution has become a growing concern worldwide; however, there is stil...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Toxics |
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| Online Access: | https://www.mdpi.com/2305-6304/10/3/118 |
| _version_ | 1797441402759544832 |
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| author | Fang Zhou Xin Wang Guangxin Wang Yanxia Zuo |
| author_facet | Fang Zhou Xin Wang Guangxin Wang Yanxia Zuo |
| author_sort | Fang Zhou |
| collection | DOAJ |
| description | With the increasing use and release of plastic products, microplastics have rapidly accumulated in ecological environments. When microplastics enter the food chain, they cause serious harm to organisms and humans. Microplastics pollution has become a growing concern worldwide; however, there is still no standardized method for rapidly and accurately detecting microplastics. In this work, we used fluorescence lifetime imaging technology to detect four kinds of Nile red-stained and unstained microplastics, and the unique phasor fingerprints of different microplastics were obtained by phasor analysis. Tracing the corresponding pixels of the “fingerprint” in the fluorescence lifetime image allowed for the quick and intuitive identification of different microplastics and their location distributions in a mixed sample. In our work, compared with staining the four microplastics with a fluorescent dye, using the phasor “fingerprint library” formed by the autofluorescence lifetimes of the microplastics was more easily distinguished than microplastics in the mixed samples. The feasibility of this method was further tested by adding three single substances—SiO<sub>2</sub>, chitin and decabromodiphenyl ethane (DBDPE), and surface sediments to simulate interferent in the environment, and the results providing potential applications for the identification and analysis of microplastics in complex environments. |
| first_indexed | 2024-03-09T12:22:33Z |
| format | Article |
| id | doaj.art-29ffe3172562438381846202b4dd0524 |
| institution | Directory Open Access Journal |
| issn | 2305-6304 |
| language | English |
| last_indexed | 2024-03-09T12:22:33Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Toxics |
| spelling | doaj.art-29ffe3172562438381846202b4dd05242023-11-30T22:38:23ZengMDPI AGToxics2305-63042022-03-0110311810.3390/toxics10030118A Rapid Method for Detecting Microplastics Based on Fluorescence Lifetime Imaging Technology (FLIM)Fang Zhou0Xin Wang1Guangxin Wang2Yanxia Zuo3The Analysis and Testing Center, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, ChinaThe Analysis and Testing Center, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, ChinaThe Analysis and Testing Center, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, ChinaThe Analysis and Testing Center, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, ChinaWith the increasing use and release of plastic products, microplastics have rapidly accumulated in ecological environments. When microplastics enter the food chain, they cause serious harm to organisms and humans. Microplastics pollution has become a growing concern worldwide; however, there is still no standardized method for rapidly and accurately detecting microplastics. In this work, we used fluorescence lifetime imaging technology to detect four kinds of Nile red-stained and unstained microplastics, and the unique phasor fingerprints of different microplastics were obtained by phasor analysis. Tracing the corresponding pixels of the “fingerprint” in the fluorescence lifetime image allowed for the quick and intuitive identification of different microplastics and their location distributions in a mixed sample. In our work, compared with staining the four microplastics with a fluorescent dye, using the phasor “fingerprint library” formed by the autofluorescence lifetimes of the microplastics was more easily distinguished than microplastics in the mixed samples. The feasibility of this method was further tested by adding three single substances—SiO<sub>2</sub>, chitin and decabromodiphenyl ethane (DBDPE), and surface sediments to simulate interferent in the environment, and the results providing potential applications for the identification and analysis of microplastics in complex environments.https://www.mdpi.com/2305-6304/10/3/118microplasticsfluorescence lifetimephasor analysisfingerprint library |
| spellingShingle | Fang Zhou Xin Wang Guangxin Wang Yanxia Zuo A Rapid Method for Detecting Microplastics Based on Fluorescence Lifetime Imaging Technology (FLIM) Toxics microplastics fluorescence lifetime phasor analysis fingerprint library |
| title | A Rapid Method for Detecting Microplastics Based on Fluorescence Lifetime Imaging Technology (FLIM) |
| title_full | A Rapid Method for Detecting Microplastics Based on Fluorescence Lifetime Imaging Technology (FLIM) |
| title_fullStr | A Rapid Method for Detecting Microplastics Based on Fluorescence Lifetime Imaging Technology (FLIM) |
| title_full_unstemmed | A Rapid Method for Detecting Microplastics Based on Fluorescence Lifetime Imaging Technology (FLIM) |
| title_short | A Rapid Method for Detecting Microplastics Based on Fluorescence Lifetime Imaging Technology (FLIM) |
| title_sort | rapid method for detecting microplastics based on fluorescence lifetime imaging technology flim |
| topic | microplastics fluorescence lifetime phasor analysis fingerprint library |
| url | https://www.mdpi.com/2305-6304/10/3/118 |
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