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# Portable and sensitive air pollution monitoring

### Subjects

A compact optical nanofiber sensor enables detection of 100 nm particles in the field. This device improves our ability to track air quality with high spatiotemporal resolution.

Air pollution has enormous health and economic costs, causing an estimated 7 million deaths per year1 and costing US$225 billion globally in 2013 according to the most recent data from the World Health Organization (WHO) and World Bank, respectively2. Despite this impact, air pollution levels continue to increase, with 92% of the world’s population living in environments in which WHO air quality guidelines are not met3. In the United States, the Environmental Protection Agency (EPA) regulates six criteria air pollutants, one of which is particulate matter (PM)4. While portable sensors for particles under 2.5 μm in diameter (known as PM2.5) exist, compact sensor development for ultrafine particles, which are <100 nm in diameter, has lagged. Ultrafine particles are unregulated by the EPA, and due to their small size, they can directly enter the lungs or the brain and have been linked to cancer and Alzheimer’s, among other diseases5. The main source of ultrafine particles is exhaust from motor vehicles, combustion, and industrial processes6. Despite local variations in air pollution levels7 for both fine and ultrafine particles, air monitoring systems are few and far between, numbering approximately 2–3 stations for cities of 1,000,000 people or more in the United States8. Furthermore, such monitoring systems are large (Fig. 1a), cumbersome to install, and expensive, costing from US$6,000 to US\$36,0009, and they can be affected by highly localized factors, such as nearby trees, making their measurements potentially unrepresentative of the air quality even a few blocks away. There is a need for personal, low-cost, portable, and sensitive systems that are capable of long-term, continuous, routine, and real-world environmental monitoring.

Despite the need for personal sensors, there is often a size and sensitivity trade-off9. Large, stationary stations can provide more accurate detection data than mobile portable systems. Yun-Feng Xiao’s group from Peking University has created a compact and sensitive serpentine nano-optical fiber sensor (Fig. 1b) that can operate in an open environment10. This sensor is capable of counting and sizing particles smaller than 100 nm; this diameter represents the threshold of the ultrafine particle designation. In addition, Xiao’s sensor has a sizing resolution of 10 nm, indicating that the approach could probably be used to sense particles smaller than 100 nm. Due to the amount of light from the nanofiber that can interact with a particle, the upper particle size limit that their sensor can detect is approximately 1 µm. This detection limit provides coverage of the full range of particles involved in the PM1.0 count; the group has shown that this count correlates with the concentration of PM2.5 particles in empirical experiments.

The serpentine nano-optical fiber sensor measures particulate concentrations by monitoring step-wise drops in the optical power transmitted through the fiber as particles land. These changes in power can be related to the size of the particle that has landed on the fiber using Rayleigh–Gans scattering theory11. The serpentine configuration of the nanofiber helps to increase the capture area of the sensor. In addition to detecting and counting the number of particles within a given size range designation (PM2.5, PM1.0, etc.), Xiao’s sensor can also provide highly precise size information, which can help to better establish correlations between pollution composition and health hazards and can inform future environmental regulations.

The sensor was used for particulate matter monitoring in Beijing over a period of a month, and the data agree well with official data from the Beijing Municipal Environmental Monitoring Center, demonstrating that the sensor can be used for real-world, long-term monitoring. In these experiments, measurements were taken every few hours. Unlike other precise particle sensing systems12, Xiao’s sensor does not require a tunable laser, which makes this system cheaper and more portable.

The future of air pollution monitoring technology is low cost, chemically specific, sensitive, weather protected, mobile sensor arrays capable of being worn or attached to existing infrastructure (Fig. 1c). When used together, such sensors could form an early warning network through a “crowdsourced” map of outdoor pollutant levels. These sensors would have low power consumption and would be able to provide continuous, long-term, live monitoring of pollutant measurements in dynamic and harsh environments. Additional considerations, such as data storage, management, dissemination, and privacy, would also need to be addressed. These sensors could provide an abundance of hyper local air quality information, such as data related to household chemical use or air pollutants in car passenger cabins. The data obtained could be linked to indicators of health and be used to quickly inform the public as to their risk for illnesses, such as asthma, bronchitis, cancer, and Alzheimer’s.

## References

1. WHO. 7 Million Premature Deaths Annually Linked to Air Pollution (WHO, Geneva). http://www.who.int/mediacentre/news/releases/2014/air-pollution/en/ (accessed 7th March 2018).

2. Zivin, J. G. & Neidell, M. Air pollution’s hidden impacts. Science 359, 39–40 (2018).

3. WHO. Ambient (Outdoor) Air Quality and Health (WHO, Geneva). http://www.who.int/mediacentre/factsheets/fs313/en/ (accessed 9th March 2018).

4. US EPA. Air Pollution Monitoring. https://www3.epa.gov/airquality/montring.html (accessed 8th March 2018).

5. Underwood E. The polluted brain: evidence builds that dirty air causes Alzheimer’s, dementia. http://www.sciencemag.org/news/2017/01/brain-pollution-evidence-builds-dirty-air-causes-alzheimer-s-dementia (accessed 28th February 2018).

6. Kumar, P. et al. Ultrafine particles in cities. Environ. Int. 66, 1–10 (2014).

7. Nieuwenhuijsen, M. J. et al. Variability in and agreement between modeled and personal continuously measured black carbon levels using novel smartphone and sensor technologies. Environ. Sci. Technol. 49, 2977–2982 (2015).

8. e-CFR: TITLE 40—Protection of Environment. Electronic Code of Federal Regulations TITLE 40—Protection of Environment. http://www.ecfr.gov/cgi-bin/text-idx?SID=e5c581756381a54c3c1976615f55b8b3&mc=true&tpl=/ecfrbrowse/Title40/40cfr58_main_02.tpl (accessed 7 March 2018).

9. Castell, N. et al. Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates? Environ. Int. 99, 293–302 (2017).

10. Yu, X. C. et al. Optically sizing single atmospheric particulates with a 10-nm resolution using a strong evanescent field. Light Sci. Appl. 7, e18003 (2018).

11. Bohren, C. F. & Huffman, D. R. Absorption and Scattering of Light by Small Particles (Wiley-VCH, Berlin, 1998).

12. Su, J., Goldberg, A. F. G. & Stoltz, B. M. Label-free detection of single nanoparticles and biological molecules using microtoroid optical resonators. Light Sci. Appl. 5, e16001 (2016).

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Correspondence to Judith Su.

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Su, J. Portable and sensitive air pollution monitoring. Light Sci Appl 7, 3 (2018). https://doi.org/10.1038/s41377-018-0017-x

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• DOI: https://doi.org/10.1038/s41377-018-0017-x

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