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Quantitative, high-sensitivity measurement of liquid analytes using a smartphone compass

Engineering and Technology

Quantitative, high-sensitivity measurement of liquid analytes using a smartphone compass

M. Ferris and G. Zabow

Discover an innovative smartphone-based platform developed by Mark Ferris and Gary Zabow that uses a built-in magnetometer for precise analyte sensing. This groundbreaking system exploits the unique properties of magnetic-hydrogel composites for sensitive and quantitative detection of glucose and pH levels, pushing the boundaries of liquid-based measurements!... show more
Abstract
Smartphone ubiquity has led to rapid developments in portable diagnostics. While successful, such platforms are predominantly optics-based, using the smartphone camera as the sensing interface. By contrast, magnetics-based modalities exploiting the smartphone compass (magnetometer) remain unexplored, despite inherent advantages in optically opaque, scattering or auto-fluorescing samples. Here we report smartphone analyte sensing utilizing the built-in magnetometer for signal transduction via analyte-responsive magnetic-hydrogel composites. As these hydrogels dilate in response to targeted stimuli, they displace attached magnetic material relative to the phone's magnetometer. Using a bilayer hydrogel geometry to amplify this motion allows for sensitive, optics-free, quantitative liquid-based analyte measurements that require neither any electronics nor power beyond that contained within the smartphone itself. We demonstrate this concept with glucose-specific and pH-responsive hydrogels, including glucose detection down to single-digit micromolar concentrations with potential for extension to nanomolar sensitivities. The platform is adaptable to numerous measurands, opening a path towards portable, inexpensive sensing of multiple analytes or biomarkers of interest.
Publisher
Nature Communications
Published On
Mar 30, 2024
Authors
Mark Ferris, Gary Zabow
Tags
smartphone
analyte sensing
magnetometer
hydrogel composites
glucose detection
quantitative measurements
signal transduction
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