Million Microfiber Releases: Comparing Washable and Disposable Face Masks.
Yuyue HuangAyoub LaghrissiJacek FiutowskiMartin A B HedegaardXiaoyu DuanXin WangMohamed HelalHorst-Günter RubahnHenrik HolbechGary HardimanXiangrong XuElvis Genbo XuPublished in: Environmental science & technology (2024)
The extensive use of single-use or disposable face masks has raised environmental concerns related to microfiber contamination. In contrast, research on the potential release and ecological impact of microfibers from washable masks (WMs), suggested as an eco-friendly alternative, is currently lacking. Here, we comprehensively investigated the release of microfibers from disposable and WMs of different types in simulated aquatic environments and real-life scenarios, including shaking, disinfection, hand washing, and machine washing. Using a combination of wide-field fluorescence microscopy, He-ion microscopy, and confocal μ-Raman spectroscopy, we revealed that disposable masks (DMs) released microfibers ranging from 18 to 3042 microfiber/piece, whereas WMs released 6.1 × 10 4 -6.7 × 10 6 microfibers/piece depending on the simulated conditions above. Another noteworthy finding was the observed negative correlation between microfiber release and the proportion of reinforcement (embossing) on the DM surfaces. Microfibers from tested DMs primarily comprised polypropylene (PP), while WMs predominantly released poly(ethylene terephthalate) (PET) and cellulose microfibers. Furthermore, acute toxicological analyses unveiled that PP microfibers (0.01-50 mg/L) from DMs impacted zebrafish larval swimming behavior, while PET microfibers from WMs delayed early-stage zebrafish hatching. This study offers new insights into the source of microfiber contamination and raises concerns about the environmental implications linked to the use of washable face masks.
Keyphrases
- human health
- raman spectroscopy
- risk assessment
- early stage
- single molecule
- drinking water
- high resolution
- optical coherence tomography
- climate change
- pet ct
- type diabetes
- liver failure
- magnetic resonance
- intensive care unit
- health risk
- escherichia coli
- machine learning
- metabolic syndrome
- squamous cell carcinoma
- pet imaging
- radiation therapy
- deep learning
- skeletal muscle
- mass spectrometry
- ionic liquid
- staphylococcus aureus
- high speed
- insulin resistance
- atomic force microscopy
- weight loss
- quantum dots
- label free
- candida albicans
- neoadjuvant chemotherapy
- contrast enhanced
- silver nanoparticles