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Mobosens, Smartphone Liquid Sensor (Prototype), 2011

This is a Mobosens. It was designed by Dr. Logan Liu and manufactured by MoboSense.

This object is not part of the Cooper Hewitt's permanent collection. It was able to spend time at the museum on loan from MoboSense as part of Tools: Extending Our Reach.

It is dated 2011. Its medium is smartphone plug-in electrochemical sensor, microfluidic chip, microelectronic integrated circuits.

The MoboSens is a sensor that allows anyone with a smartphone to detect contami¬nated water and analyze biofluids. The sensor plugs into a cell phone through the audio jack; the phone app controls the sensor and shows the nature and precise amount of contaminants in a single drop of water on the sensor—nitrate, arsenic, chromium, and pathogenic bacteria, among others. An on-line map permits the results to be communicated in real time, so users can monitor and share local environmental data. The MoboSens can also identify contaminants or illnesses in the user’s body by analyzing blood, urine, and saliva. By combining revolutionary technologies—mobile devices, social media, sensors, and geographical informa¬tion systems—the MoboSens delivers an affordable product that will revolutionize digital health care.

It is credited Courtesy of the University of Illinois at Urbana-Champaign.

Its dimensions are

H x W x D: 2 × 5 × 3 cm (13/16 × 1 15/16 × 1 3/16 in.)

We have 1 video that features Mobosens, Smartphone Liquid Sensor (Prototype), 2011.

MoboSens Demo Video

An introduction to the MoboSens liquid sensing technology, which pairs a low cost liquid sensor with a smartphone.

This object was previously on display as a part of the exhibition Tools: Extending Our Reach.

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If you would like to cite this object in a Wikipedia article please use the following template:

<ref name=CH>{{cite web |url=https://www-6.collection.cooperhewitt.org/objects/35520973/ |title=Mobosens, Smartphone Liquid Sensor (Prototype), 2011 |author=Cooper Hewitt, Smithsonian Design Museum |accessdate=30 October 2020 |publisher=Smithsonian Institution}}</ref>