Easy sample collection, physiological relevance, and ability to noninvasively and longitudinally monitor the human body are some of the key attributes of wearable sweat sensors. Examples typically include reversible sensors or an array of single-use sensors embedded in specialized microfluidics for temporal analysis of sweat. However, evolving this field to a level that truly represents "lab-on-skin" technology will require the incorporation of advanced functionalities that give the user the freedom to (1) choose the precise time for performing sample analysis and (2) select sensors from an array embedded within the device for performing condition-specific sample analysis. Here, we introduce new concepts in wearable microfluidic platforms that offer such capabilities. The described technology involves a series of finger-actuated pumps, valves, and sensors incorporated within soft, wearable microfluidics. The incoming sweat collects in the inlet chamber and can be analyzed by the user at the time of their choosing. On-demand sweat analyte assessment is achieved by pulling a thin tab to activate a pump which opens a valve and allows the pooled sweat to enter a chamber embedded with sensors for the desired analytes. The article describes a thorough characterization of the platform that demonstrates the robustness of the pumping, valving, and sensing aspects of the device under conditions mimicking real-life scenarios. A two-day-long human pilot study validates the system and illustrates the device's ability to offer on-demand, longitudinal, and multianalyte sensing. Our work represents the first example of a wearable system with such on-demand sensing capabilities and opens exciting avenues in sweat sensing for acquiring new insights into human physiology.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acssensors.2c01669DOI Listing

Publication Analysis

Top Keywords

soft wearable
8
wearable microfluidic
8
finger-actuated pumps
8
pumps valves
8
on-demand longitudinal
8
longitudinal multianalyte
8
sweat sensing
8
sensors array
8
sample analysis
8
sweat
7

Similar Publications

The ability to convert moisture signals into electrical signals through contactless control underpins a wide range of applications, including health monitoring, disaster warning, and energy harvesting. Despite its potential, the effective utilization of low-grade energy remains challenging, as it often requires complex device architectures that limit scalability and integration, particularly in wearable technologies. Here, we present a soft, flexible moisture-electric converter made from cellulose nanocrystals and polyvinyl alcohol composite films, designed for a novel touchless interactive platform.

View Article and Find Full Text PDF

Polymer-brush-grafted nanoparticles (PGNPs) that can be covalently crosslinked post-processing enable the fabrication of mechanically robust and chemically stable polymer nanocomposites with high inorganic filler content. Modifying PGNP brushes to append UV-activated crosslinkers along the polymer chains would permit a modular crosslinking strategy applicable to a diverse range of nanocomposite compositions. Further, light-activated crosslinking reactions enable spatial control of crosslink density to program intentionally inhomogeneous mechanical responses.

View Article and Find Full Text PDF

The electrical conductivity and antibacterial properties are crucial characteristics for bacterial cellulose (BC) based membranes to be broadly applied in the field of wearable electronics. In the study, to achieve these aims, alpha-lipoic acid (LA) was utilized as anchoring groups and reducing agent, hydroxypropyl-β-cyclodextrin (HP-β-CD) capped magnetic particles (FeO NPs) and the in-situ formed silver nanoparticles (AgNPs) were sequentially incorporated into the BC matrix to fabricate BC based nanocomposite membranes (HP-β-CD/FeO/LA@BC and HP-β-CD/FeO/LA/Ag@BC). Fourier transform attenuated total reflectance infrared spectroscopy (FTIR-ATR) and field emission scanning electron microscopy (FE-SEM) analysis proved the dense networks were formed in the modified BC membranes.

View Article and Find Full Text PDF

This study designs and develops a wearable exoskeleton piano assistance system for individuals recovering from neurological injuries, aiming to help users regain the ability to perform complex tasks such as playing the piano. While soft robotic exoskeletons have proven effective in rehabilitation therapy and daily activity assistance, challenges remain in performing highly dexterous tasks due to structural complexity and insufficient motion accuracy. To address these issues, we developed a modular division method based on multi-domain mapping and a top-down process model.

View Article and Find Full Text PDF

Recognizing human body motions opens possibilities for real-time observation of users' daily activities, revolutionizing continuous human healthcare and rehabilitation. While some wearable sensors show their capabilities in detecting movements, no prior work could detect full-body motions with wireless devices. Here, we introduce a soft electronic textile-integrated system, including nanomaterials and flexible sensors, which enables real-time detection of various full-body movements using the combination of a wireless sensor suit and deep-learning-based cloud computing.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!