Nanofiber-based air filters and electrostatic precipitation have stimulated considerable interest because of their high-efficiency for PM2.5 capture. In this paper, we introduce a new method of in situ electrospinning (e-spinning) of nanostructures into a polluted enclosed space to efficiently clean the air. From the comparisons of different polymer precursors and different PM2.5 capture techniques, it can be seen that in situ e-spinning of chitosan aqueous solution into the air exhibits the best PM2.5 capture efficiency, which may be attributed to the stronger polarity of chitosan and the synergistic effect of the strong electrostatic adsorption and surface adhesion of the electrospun (e-spun) nanofibers. A removal rate as high as 3.7 μg m s was obtained using this technology with a high efficiency of more than 95% PM2.5 capture. The results obtained from a field test in a smoking room (∼5 × 6 × 3 m) are still in great agreement with those obtained in an experimental box (∼25 × 30 × 35 cm). More importantly, chitosan is non-toxic and biodegradable, and is harmless to human health when used as a precursor for in situ e-spinning for PM2.5 capture.
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http://dx.doi.org/10.1039/c6nr09525a | DOI Listing |
Proc Natl Acad Sci U S A
June 2020
Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway.
The expanding behavioral repertoire of the developing brain during childhood and adolescence is shaped by complex brain-environment interactions and flavored by unique life experiences. The transition into young adulthood offers opportunities for adaptation and growth but also increased susceptibility to environmental perturbations, such as the characteristics of social relationships, family environment, quality of schools and activities, financial security, urbanization and pollution, drugs, cultural practices, and values, that all act in concert with our genetic architecture and biology. Our multivariate brain-behavior mapping in 7,577 children aged 9 to 11 y across 585 brain imaging phenotypes and 617 cognitive, behavioral, psychosocial, and socioeconomic measures revealed three population modes of brain covariation, which were robust as assessed by cross-validation and permutation testing, taking into account siblings and twins, identified using genetic data.
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