## What is it? DustDuino can help individuals with limited resources monitor PM10 and PM2.5 concentrations, indoors or outdoors. It uses [Shinyei PPD42NS](http://www.sca-shinyei.com/pdf/PPD42NS.pdf), a $15USD optical sensor that uses an LED and a lens to determine the concentration of dust in a partially closed chamber that draws in air from its surroundings. The sensor data is received by an [Arduino](http://www.arduino.cc/) development board and transmitted to Xively. Prototypes of DustDuino have been successfully built and used in various indoor and outdoor locations. Also see the [Data Logging page](/w/data-logging) for more on setting up and using different dataloggers, and for more tutorials. ### Questions [questions:dustduino] **** ## Why make one? The health effects attributed to outdoor fine particulate matter (PM2.5) rank it among the risk factors with the highest health impacts in the world, [accounting for over 3.2 million premature deaths annually](http://pubs.acs.org/doi/abs/10.1021/es2025752). In October 2013, the World Health Organization [announced](http://www.iarc.fr/en/media-centre/iarcnews/pdf/pr221_E.pdf) they consider particulate matter, a major component of indoor and outdoor air pollution, as a Group 1 carcinogen along with tobacco smoke and asbestos. ## What can the DustDuino Do? From the [Data Quality Research Note](http://publiclab.org/notes/Willie/03-06-2015/dustduino-data-quality) Test results indicate that DustDuino provides accurate and useful information, albeit of a somewhat limited scope and under certain conditions. An academic [study](http://www.atmos-meas-tech-discuss.net/7/605/2014/amtd-7-605-2014.pdf) which compared the Shenyei particulate matter sensor to costlier models used by governments, researchers, and companies found that this low-cost sensor produced results equivalent to much more expensive ones when analyzing data at hourly intervals. Testing with reference monitors conducted in [Berkeley, California in late 2013](http://www.atmos-meas-tech-discuss.net/7/605/2014/amtd-7-605-2014.pdf) concluded that the results of the low-cost sensor were about equivalent to much more expensive ones when analyzing data at hourly intervals. ”Performance at 1 [hour] integration times was comparable to commercially available optical instruments costing considerably more.” Testing in high PM2.5 environments such as the city of Xi'an, China also has shown [high correlations between the Shenyei and reference monitors](http://www.sciencedirect.com/science/article/pii/S0269749115000160). By setting up a variety of monitors throughout the city, researchers were able to identify the High-technology Zone site as a potential PM2.5 hotspot with sustained high concentrations compared to the city average throughout the day. There are still some unknowns with regard to the sensor - for example, whether it needs to be co-located with higher-quality instruments for calibration, and whether it could be used in extreme environments. There are also some limitations - the sensor may not produce high-quality information at time intervals shorter than an hour, ## Activities [activities:dustduino] **** ## Photos [![DustDuino.jpg](https://i.publiclab.org/system/images/photos/000/003/998/medium/DustDuino.jpg)](https://i.publiclab.org/system/images/photos/000/003/998/original/DustDuino.jpg) ## Research Notes [notes:dustduino] ## DustDuino Sketches The DustDuino board enables a variety of power, connectivity, and sensor configurations each of which require custom programming to process and send data. As the name would suggest, the DustDuino can be programmed with Arduino libraries and contributors to the project have made a number of Arduino sketches already. A full list of them is available on [DustDuino.org](http://dustduino.org/) ## Scientific Journal Articles | Title | Author(s) | |-------------------------|---------------------| | A [distributed network of low-cost continuous reading sensors](http://www.sciencedirect.com/science/article/pii/S0269749115000160) to measure spatiotemporal variations of PM2.5 in Xi'an, China; January 13, 2015 [PDF LINK](http://ac.els-cdn.com/S0269749115000160/1-s2.0-S0269749115000160-main.pdf?_tid=9ca954e2-ae5c-11e4-9076-00000aacb35f&acdnat=1423267531_78064379fb071e29e3cf180d34d15365) | Meiling Gao, Junji Cao, Edmund Seto | [Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California](http://atmos-meas-tech-discuss.net/7/605/2014/amtd-7-605-2014.pdf); January 27, 2014. | DM Holstius et al ## External Tutorials | Website | Overview | |-------------------------|---------------------| | [Mental Munitions](http://www.mentalmunition.com/2013/10/measure-air-pollution-in-your-home-or.html) | The original documentation blog post | | [Earth Journalism Network- Civic Science & Sensors Program](earthjournalism.net/projects/citizen-science-sensors)| A project page reviewing EJN's sensor journalism pilot project | ## News Articles | Publication | Title | |-------------------------|---------------------| | Nature | [Environmental science: Pollution patrol](http://www.nature.com/news/environmental-science-pollution-patrol-1.16654) | | Scientific American | [Dust in the Wind: How Data Visualization can Help the Environment](http://blogs.scientificamerican.com/guest-blog/dust-in-the-wind-how-data-visualization-can-help-the-environment/) | | Newsweek | [How Civic Science Is Changing Environmentalism](http://www.newsweek.com/2014/11/07/how-civic-science-changing-environmentalism-279777.html) |...

Author Comment Last activity Moderation
warren "Also want to point at "telling a data story" by @renee and @bhamster: https://publiclab.org/notes/bhamster/12-02-2021/create-a-data-story-to-commu..." | Read more » about 1 year ago
Techolex1 "A professional blogger and a WordPress expert. Click to visit my site. " | Read more » over 3 years ago
jeffalk "Hi @Warren, For suggestions on where to go it might be helpful if you were to explain more fully by an example the question: "once something is w..." | Read more » over 3 years ago
kommentariyi "Wow.Nice " | Read more » over 3 years ago
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warren "Re: "As you know, we're moving in the opposite direction" For sure, and I think we're on the same page on the need for lower cost monitoring. One ..." | Read more » over 3 years ago
warren "I'm going to order a couple of these fans to test this out: $11 https://www.amazon.com/dp/B07RT95Z1Y/ " | Read more » over 3 years ago
warren "Yes, and the aromatic baby powder is nice because you can smell it. Great idea. We're going to try prototyping this activity soon. With 3+ sensors,..." | Read more » over 3 years ago
mimiss "I love the idea of using cocoa powder or powdered sugar to model this (out doors of course!). " | Read more » almost 4 years ago
crispinpierce "@Warren I think this is an interesting way to show movement of fog droplets (10-20 um diameter, https://images.slideplayer.com/13/4090314/slides/sl..." | Read more » almost 4 years ago
warren "This is a cool idea esp. the site-planning with "buildings" or air barriers. I heard a good comment about this on Instagram too, where i'd posted -..." | Read more » almost 4 years ago
silentsairam "Great @warren : My responses, 1. planning the placement of sensors on a site: a) The site can be Indoor places(schools, office or outside space, ..." | Read more » almost 4 years ago
mimiss "This could be a great way to plan where to put your Simple Air sensor! You could build a mini model of the area you'd like to study with something ..." | Read more » almost 4 years ago
crispinpierce "Hi Jeff (@Warren), I think these transitions are governed by cost, convenience and accuracy. As you know, we're moving in the opposite direction, h..." | Read more » almost 4 years ago
nanocastro "hi @warren I really like your setup... it remind me of these cool projects of visualization by Nerea Calvillo http://intheair.es/tools/physical-pro..." | Read more » almost 4 years ago
warren "@molangmuir10 @sadieprego @zengirl2 @nanocastro @mimiss I thought you might be interested in this! " | Read more » almost 4 years ago
warren "@crispinpierce @OrionAllgaier I was thinking of how people may bridge from a Simple Air Sensor (or similar) to a Purple Air (#purple-air) or even a..." | Read more » almost 4 years ago
xose "Hi @erumenig sorry for the delay. I've realized this thread remained in stand by. How did it go? Did you manage to build the device? Best! " | Read more » almost 5 years ago
warren "There's now a way to collect data from a #dustduino or any #arduino using just an audio cable -- using #webjack ! Take a look at this post: https:..." | Read more » about 5 years ago
erumenig "Firstly, thanks for elucidate my questions. Let me understand just 1 thing more. After purchase the components and to make "DustDuino" I would hav..." | Read more » over 5 years ago
warren "Thanks all! " | Read more » over 5 years ago
xose "Hi erumenig, find the Shinyei PPD42 sensor, core of the dustduino, here https://www.seeedstudio.com/category/Grove-Dust-Sensor-p-1050.html " | Read more » over 5 years ago
erumenig "Warren and Willie, hello! I would like to thank you for these informations. I heard about them. I'll try to contact the Garoa. Thank you again. " | Read more » over 5 years ago