Detection of biomarkers associated with body conditions provides in‐depth healthcare information and benefits to disease management, where the key challenge is to develop a minimally invasive platform with the ability to directly detect multiple biomarkers in body fluid. Dermal tattoo biosensor holds the potential to simultaneously detect multiple health‐related biomarkers in skin interstitial fluid because of the features of minimal invasion, easy operation, and equipment‐free result reading. Herein, a colorimetric dermal tattoo biosensor fabricated by a four‐area segmented microneedle patch is developed for multiplexed detection of health‐related biomarkers. The biosensor exhibits color changes in response to the change of biomarker concentration (i.e., pH, glucose, uric acid, and temperature), which can be directly read by naked eyes or captured by a camera for semi‐quantitative measurement. It is demonstrated that the colorimetric dermal tattoo biosensor can simultaneously detect multiple biomarkers in vitro, ex vivo, and in vivo, and monitor the changes of the biomarker concentration for at least 4 days, showing its great potential for long‐term health monitoring.
Flexible
wearable devices have proven to be emerging tools for
motion monitoring, personal healthcare, and rehabilitation training.
The development of a multifunctional, flexible sensor and the integration
of sensors and a smart chip for signal reading and transmission play
a critical role in building a smart wearable device. In this work,
a smart glove based on multiwalled carbon nanotubes/poly(dimethylsiloxane)
(MWNTs/PDMS) fibers is developed for gesture and temperature recognition.
First, the well-tunable, stretchable, and thermal-sensitive MWNTs/PDMS
fibers are fabricated via a facile and cost-effective one-step extrusion
method. The obtained fibers exhibit an outstanding linear relationship
between resistance change and strain in the range of 0–120%
and excellent cyclic stability and durability after 20 000
cycles of 50% tension. They also present a linear relationship of
resistance change and temperature of 0.55% °C–1 with a correlation coefficient of 0.998 in the range of 0–100
°C. The fibers, as parts of wearable sensors, are then integrated
into a smart glove along with a custom-made data acquisition chip
to recognize finger dexterity, gestures, and temperature signals and
output them through a screen display, an audio system, and Bluetooth
transmission. The highly integrated, low-cost, and multifunctional
glove holds great potential for various applications, such as sign
language recognition, rehabilitation training, and telemedicine in
the Internet-of-Things era.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.