A household dust survey chemically identified selected particles in sieved settled-dust fractions, separating synthetic polymers from cellulose.
Source details
Yifan Bai, Eunsu Lim, Yuan Ni, Jingyi Wei, Shunji Kurosu, Jinya Takeuchi, Hoon Kim, Takeshi Ogasawara, Akihisa Takemura. Japan Architectural Review. 2025.
Findings
A household dust survey chemically identified selected particles in sieved settled-dust fractions, separating synthetic polymers from cellulose.
- 34 household dust samples; Single-person residences in four Japanese regions; collected using vacuum cleaners.
- approximately 64% PET among identified fibrous polymers; Selected dust particles, not total dust mass or all airborne fibers.
Methods and scope
Participants vacuum-collected settled dust; sieved fractions underwent random particle selection and KBr-plate microFTIR identification, with optical and SEM morphology. Clean laboratory handling described, but no quantified procedural blank result located.
What this source can support
Supports presence and composition of polymers in the selected settled-dust particles.
Selected particles do not establish total particles per gram or air volume. Cellulose was abundant and is not automatically plastic. No quantified blank result located. Size/region summary percentages vary across the paper, so no aggregate polymer percentage is used. Publication is the 2025 volume despite the acquisition filename and copyright dating to 2024.
Related evidence
Reported values and source locations
| Reported value | Measurement basis | Conditions and size context | Original document location |
|---|---|---|---|
| 34 household dust samples | sample count | Single-person residences in four Japanese regions; collected using vacuum cleaners Sieved classifications using 2000, 500, 250, 100 and 45 µm meshes | PDF p. 2 §2.1 |
| approximately 64% PET among identified fibrous polymers | approximate composition proportion | Selected dust particles, not total dust mass or all airborne fibers Sieved dust fractions; selected particles analyzed, not total abundance census | PDF p. 4 §3.2 |
Source provenance
Primary PDF SHA-256: b77f33e84d3cf1b9d30472d622a7004d3482b150f4549d5fbad86ac9abd024d3
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