Wash-stable, oxidation resistant conductive cotton electrodes for wearable electronics

Fabrication of Multifunctional Electronic Textiles Using Oxidative Restructuring of Copper into a Cu-Based Metal-Organic Framework

This paper describes a novel synthetic approach for the conversion of zero-valent copper metal into a conductive two-dimensional layered metal-organic framework (MOF) based on 2,3,6,7,10,11-hexahydroxytriphenylene (HHTP) to form Cu₃(HHTP)₂. This process enables patterning of Cu₃(HHTP)₂ onto a variety of flexible and porous woven (cotton, silk, nylon, nylon/cotton blend, and polyester) and non-woven (weighing paper and filter paper) substrates with microscale spatial resolution. The method produces conductive textiles with sheet resistances of 0.1-10.1 MΩ/cm², depending on the substrate, and uniform conformal coatings of MOFs on textile swatches with strong interfacial contact capable of withstanding chemical and physical stresses, such as detergent washes and abrasion. These conductive textiles enable simultaneous detection and detoxification of nitric oxide and hydrogen sulfide, achieving part per million limits of detection in dry and humid conditions. The Cu₃(HHTP)₂ MOF also demonstrated filtration capabilities of H₂S, with uptake capacity up to 4.6 mol/kg_MOF. X-ray photoelectron spectroscopy and diffuse reflectance infrared spectroscopy show that the detection of NO and H₂S with Cu₃(HHTP)₂ is accompanied by the transformation of these species to less toxic forms, such as nitrite and/or nitrate and copper sulfide and S_x species, respectively. These results pave the way for using conductive MOFs to construct extremely robust electronic textiles with multifunctional performance characteristics.

Human Skin-Inspired Electrospun Patterned Robust Strain-Insensitive Pressure Sensors and Wearable Flexible Light-Emitting Diodes

Wearable skin-inspired electronic skins present remarkable outgrowth in recent years because their promising comfort device integration, lightweight, and mechanically robust durable characteristics led to significant progresses in wearable sensors and optoelectronics. Wearable electronic devices demand real-time applicability and factors such as complex fabrication steps, manufacturing cost, and reliable and durable performances, severely limiting the utilization. Herein, we nominate a scalable solution-processable electrospun patterned candidate capable of forming ultralong mechanically robust nano-microdimensional fibers with higher uniformity. Nanofibrous patterned substrates present surface energy and silver nanoparticle crystallization shifts, contributing to strain-sensitive and -insensitive conductive electrodes (10 000 cycles of 50% strain). Synergistic robust stress releasing and durable electromechanical behavior engenders stretchable durable health sensors, strain-insensitive pressure sensors (sensitivity of ∼83 kPa^-1 and 5000 durable cycles), robust alternating current electroluminescent displays, and flexible organic light-emitting diodes (20% improved luminescence and 300 flex endurance of 2 mm bend radius).

Preparation of conductive cellulose fabrics with durable antibacterial properties and their application in wearable electrodes

Electroless silver plating on fabrics can obtain conductive and antibacterial bifunctional materials which can be used as electrodes in wearable electronic products. However, these activities are deteriorated easily after washing because of the falling off of silver coating resulted from the weak adhesion. In order to improve the binding force between silver and cellulose fabrics, 3-mercaptopropytrimethoxysilane (MPTS) was applied to modify cellulose fabrics before silver electroless plating to develop the durable conductive fabrics with excellent antibacterial. The silver nanoparticles (Ag NPs) deposition process was observed via field emission scanning electron microscopy (FESEM), thermal properties were evaluated by thermogravimetric analysis (TGA). A dense and uniform silver layer was formed on the fabric. The initial electrical resistance of the conductive fabric was 0.04 Ω/sq and lowered than 2 Ω/sq after 200 washing cycles. The antibacterial efficiency of the fabric after 200 washing cycles remained 92.82%, compared to 100% with the fabric before washing. Moreover, the inhibition rate was determined by optical density of bacteria suspension at 260 nm and further substantiated by releasing of Ag⁺ from the fabric. The conductive fabrics were applied as wearable electrodes to capture electrocardiogram (ECG) signals of human in static states and running states.

Natural textile based triboelectric nanogenerators for efficient energy harvesting applications

This work reports a facile method to create efficient natural textile based triboelectric nanogenerators (N-TENGs). First, plain natural textiles, cotton and silk, were dip-coated in cyanoalkyl silane and fluoroalkyl silane to transform their surface energy into positive and negative triboelectricity. The N-TENGs were fabricated by stacking an cyanoalkylated siloxane grafted fabric with an fluoralkylated siloxane grafted fabric to assemble a Cu fabric electrode. A single N-TENG generated a maximum output voltage and output current of 216.8 V and 50.3 μA (0.87 μA cm-2), without any nanopatterning. The double stacked N-TENG showed an enhanced output current of 84.8 μA (1.46 μA cm-2), and exhibited a maximum power output of 0.345 mW cm-2 at an external resistance of 0.42 MΩ. In addition, the N-TENG can light up 100 light-emitting diodes (LEDs) and charge capacitors, demonstrating its self-powering applications.

Phyjama

Unobtrusive and continuous monitoring of cardiac and respiratory rhythm, especially during sleeping, can have significant clinical utility. An exciting new possibility for such monitoring is the design of textiles that use all-textile sensors that can be woven or stitched directly into a textile or garment. Our work explores how we can make such monitoring possible by leveraging something that is already familiar, such as pyjama made of cotton/silk fabric, and imperceptibly adapt it to enable sensing of physiological signals to yield natural fitting, comfortable, and less obtrusive smart clothing.

We face several challenges in enabling this vision including requiring new sensor design to measure physiological signals via everyday textiles and new methods to deal with the inherent looseness of normal garments, particularly sleepwear like pyjamas. We design two types of textile-based sensors that obtain a ballistic signal due to cardiac and respiratory rhythm ---the first a novel resistive sensor that leverages pressure between the body and various surfaces and the second is a triboelectric sensor that leverages changes in separation between layers to measure ballistics induced by the heart. We then integrate several instances of such sensors on a pyjama and design a signal processing pipeline that fuses information from the different sensors such that we can robustly measure physiological signals across a range of sleep and stationary postures. We show that the sensor and signal processing pipeline has high accuracy by benchmarking performance both under restricted settings with twenty one users as well as more naturalistic settings with seven users.