Toward the Next Generation Human-Machine Interaction: Headworn Wearable Devices.

Wearable devices are lightweight and portable devices worn directly on the body or integrated into the user's clothing or accessories. They are usually connected to the Internet and combined with various software applications to monitor the user's physical conditions. The latest research shows that wearable head devices, particularly those incorporating microfluidic technology, enable the monitoring of bodily fluids and physiological states. Here, we summarize the main forms, functions, and applications of head wearable devices through innovative researches in recent years. The main functions of wearable head devices are sensor monitoring, diagnosis, and even therapeutic interventions. Through this application, real-time monitoring of human physiological conditions and noninvasive treatment can be realized. Furthermore, microfluidics can realize real-time monitoring of body fluids and skin interstitial fluid, which is highly significant in medical diagnosis and has broad medical application prospects. However, despite the progress made, significant challenges persist in the integration of microfluidics into wearable devices at the current technological level. Herein, we focus on summarizing the cutting-edge applications of microfluidic contact lenses and offer insights into the burgeoning intersection between microfluidics and head-worn wearables, providing a glimpse into their future prospects.

Ultrastrong and Reusable Solar‒Thermal‒Electric Generators by Economical Starch Vitrimers.

In frigid regions, it is imperative to possess functionality materials that are ultrastrong, reusable, and economical, providing self-generated heat and electricity. One promising solution is a solar‒thermal‒electric (STE) generator, composed of solar‒thermal conversion phase change composites (PCCs) and temperature-difference power-generation-sheets. However, the existing PCCs face challenges with conflicting requirements for solar‒thermal conversion efficiency and mechanical robustness, mainly due to monotonous functionalized aerogel framework. Herein, a novel starch vitrimer aerogel is proposed that incorporates orientational distributed carboxylated carbon nanotubes (CCNT) to create PCC. This innovative design integrates large through-holes, mechanical robustness, and superior solar‒thermal conversion. Remarkably, PCC with only 0.8 wt.% CCNT loading achieves 85.8 MPa compressive strength, 102.4 °C at 200 mW cm-2 irradiation with an impressive 92.9% solar-thermal conversion efficiency. Noteworthy, the STE generator assembled with PCC harvests 99.1 W m-2 output power density, surpassing other reported STE generators. Strikingly, even under harsh conditions of -10 °C and 10 mW cm‒2 irradiation, the STE generator maintains 20 °C for PCC with 325 mV output voltage and 45 mA current, showcasing enhanced electricity generation in colder environments. This study introduces a groundbreaking STE generator, paving the way for self-sufficient heat and electricity supply in cold regions.

Recent advances of microneedles biosensors for plants.

As the lack of plants can affect the energy operation of the entire ecosystem, monitoring and improving the health status of plants is crucial. However, ordinary biosensing platforms lack accuracy and timeliness in monitoring plant growth status. In addition, the prevention and control of plant diseases often involve spraying and administering drugs, which is inefficient and prone to pollution. Microneedles have unique dimensions and shapes, and they have significant advantages as biosensors in the fields of sensing, detection, and drug delivery. Recent evidence suggests that microneedle biosensors can become effective tools for plant diagnosis and treatment. In this review, the comprehensive development of the application of microneedle biosensors in the field of plants is introduced, as well as their manufacturing processes and sensing and detection functions. Furthermore, the application of microneedle biosensors in this field is discussed, and future development directions are proposed.

Personalized Medical Devices Connect Monitoring and Assistance: Emerging Wearable Soft Robotics.

As wearable health devices have the ability of intelligent monitoring, they are becoming cutting-edge technology in medical and health fields. However, the simplification of functions limits their further development. In addition, soft robotics with actuation functions can achieve therapeutic effects by doing external work, but their monitoring function is not sufficiently developed. The efficient integration of the two can guide future development. The functional integration of actuation and sensing can not only monitor the human body and surrounding environment but also realize actuation and assistance. Recent evidence shows that emerging wearable soft robotics can become the future of personalized medical treatment. In this Perspective, the comprehensive development in the field of actuators for simple structure soft robotics and the field of wearable application sensors are introduced, as well as their manufacturing processes and various potential medical applications. Furthermore, the challenges faced in this field are discussed, and future development directions are proposed.

Toward Efficient Wound Management: Bioinspired Microfluidic and Microneedle Patch.

Microneedle (MN) patches hold demonstrated prospects in intelligent wound management. Herein, inspired by the highly folded structure of insect wings, a three-dimensional (3D) origami MN patch with superfine miniature needle structures, microfluidic channels, and multiple functions was reported to detect biomarkers, release drugs controllably and monitor motions to facilitate wound healing. By simply replicating the pre-stretched silicone rubber (Ecoflex) molds patterned by a laser engraving machine, the superfine structure MN patch with microfluidic channels was obtained from the restored molds. The bioinspired origami structure endows the MN patch with a high degree of functional integration, including microfluidic channels and electrocircuits. The microfluidic channels combined with the pH value and glucose concentration indicators enable the patch with the capability of biomarker sensing detection. Porous structures, a temperature-responsive hydrogel, and a photothermal-sensitive agent are utilized to form a controllable drug release system on the MN patch. Meanwhile, MXene electrocircuits were printed on the MN patch for motion sensing. In addition, the ability of the MN patch to accelerate wound healing was demonstrated by a mouse model experiment with full-thickness skin wounds. These results indicate that the multifunctional 3D origami MN patch is a valuable intelligent strategy for wound management.

Modern microelectronics and microfluidics on microneedles.

Possessing the attractive advantages of moderate invasiveness and high compliance, there is no doubt that microneedles (MNs) have been a gradually rising star in the field of medicine. Recent evidence implies that microelectronics technology based on microcircuits, microelectrodes and other microelectronic elements combined with MNs can realize mild electrical stimulation, drug release and various types of electrical sensing detection. In addition, the combination of microfluidics technology and MNs makes it possible to transport fluid drugs and access a small quantity of body fluids which have shown significant untapped potential for a wide range of diagnostics. Of particular note is that combining both technologies and MNs is more difficult, but is promising to build a modern healthcare platform with more comprehensive functions. This review introduces the properties of MNs that can form integrated systems with microelectronics and microfluidics, and summarizes these systems and their applications. Furthermore, the future challenges and perspectives of the integrated systems are conclusively proposed.

Intelligent Patches for Wound Management: In Situ Sensing and Treatment.

Intelligent wound patches have the potential properties of ultra-adhesion, self-healing ability, biosensing, antibacterial, anti-inflammatory, etc. In situ sensing (biosensing and monitoring) and intelligent drug delivery deserve more exploration, and new strategies of these two factors are of great importance. In this Feature, a comprehensive set of the progress in the area of intelligent wound patches, especially those based on multiple biosensing and electronics, and their potentials in drug release is deliberated. In addition, the major challenges in this field and opinions on its future developments are portrayed.

Specific immobilization of lipase on functionalized 3D printing scaffolds via enhanced hydrophobic interaction for efficient resolution of racemic 1-indanol.

Lipase immobilization with hydrophobic interaction is of interesting exploration, and some functionalized groups on supports are special for activity increasing. To achieved a good performance of cost-effective immobilization on macro-supports for feasible usage and recycle, eco-friendly PLA-based 3D printing macro-scaffolds with fabrication was designed, and phenyl groups with different length of linkers and combined two kinds of groups were anchored for lipase YCJ01 binding with improving payload, the highest enzyme expression of 2227.5 U/g, activity recovery of 137.3%, and increasing specific activity of 815.9 U/mg were attained by using PLA@AMTS-C7-Ph/PLA@AMTS-C9-Ph scaffolds as carries. The immobilized lipase YCJ01 on bifunctionalized 3D printing scaffolds was further applied to the efficient resolution of racemic 1-indanol (267 mM) with high stereoselectivity using a binary solvent system. The immobilized lipase YCJ01 could control the over transesterification of (S)-1-indanol and exhibit good operational stability of repetitive usage for 9 cycles. This is beneficial to obtain the high enantiomerical pure product by feasible separation of immobilized biocatalyst without rigorous operation.

One-step 3D printed intelligent silk fibroin artificial skin with built-in electronics and microfluidics.

The rapid fabrication of artificial skin patches with multiple functions has attracted great attention in various research fields, such as personal health monitoring, tissue engineering and robotics. Intertwined-network structures (blood vessel, lymphatic and nerve networks) play a key role in endowing skin with multiple functions. Thus, considerable efforts have been devoted to fabricating artificial skin patches with mimetic internal channels. Here, we present a one-step 3D printed intelligent silk fibroin artificial skin (i-skin) with built-in electronics and microfluidics. By simultaneously extruding functional materials in polyurethane-silk fibroin precursor using a 3D bioprinter, the i-skin and its internal channels can be fabricated within one step. Photonic crystals (PCs) were integrated into the microfluidic channel, enabling the i-skin to sense multiple biomarkers. Moreover, the printed electronics give the i-skin remarkable conductivity, endowing the i-skin with the capability of sensitive motion sensing. Notably, by using the built-in electronics and PC-integrated microfluidics, sensitive sensing of motions and specific cardiac biomarkers can be achieved simultaneously in the i-skin, indicating the remarkable prospects of the printed multi-functional i-skin in health care-related biomedical fields.

3D printed smart silk wearable sensors.

Wearable sensors play a key role in point-of-care testing (POCT) for their flexible and integration capability for sensitive physiological and biochemical sensing. Here, we present a multifunction wearable silk patch with both electronic channels and microchannels by utilizing matrix-assisted sacrificial 3D printing methods. Owing to the unique properties of a composite silk film (polyvinyl alcohol (PVA) and silk fibroin (SF)), the wearable sensors possess excellent tensile properties, self-healing ability and biocompatibility. Multi-layer channel (microfluidics and microcircuit)-integrated silk wearable sensors were then fabricated for simultaneous sensitive sensing of human cancer markers (carcinoembryonic antigen (CEA) and alpha-fetoprotein (AFP)) and motion monitoring. These features of the silk wearable sensors indicate their potential value for sensitive sensing, which will enable them to find broader applications in many fields in POCT, artificial skin and organ-on-a-chip systems.

Maximum likelihood-based extended Kalman filter for COVID-19 prediction.

Prediction of COVID-19 spread plays a significant role in the epidemiology study and government battles against the epidemic. However, the existing studies on COVID-19 prediction are dominated by constant model parameters, unable to reflect the actual situation of COVID-19 spread. This paper presents a new method for dynamic prediction of COVID-19 spread by considering time-dependent model parameters. This method discretises the susceptible-exposed-infected-recovered-dead (SEIRD) epidemiological model in time domain to construct the nonlinear state-space equation for dynamic estimation of COVID-19 spread. A maximum likelihood estimation theory is established to online estimate time-dependent model parameters. Subsequently, an extended Kalman filter is developed to estimate dynamic COVID-19 spread based on the online estimated model parameters. The proposed method is applied to simulate and analyse the COVID-19 pandemics in China and the United States based on daily reported cases, demonstrating its efficacy in modelling and prediction of COVID-19 spread.

Modern evolution of paper-based analytical devices for wearable use: from disorder to order.

Paper devices have attracted great attention for their rapid development in multiple fields, such as life sciences, biochemistry, and materials science. When manufacturing paper chips, flexible materials, such as cellulose paper or other porous flexible membranes, can offer several advantages in terms of their flexibility, lightweight, low cost, safety and wearability. However, traditional cellulose paper sheets with chaotic cellulose fiber constitutions do not have special structures and optical characteristics, leading to poor repeatability and low sensitivity during biochemical sensing, limiting their wide application. Recent evidence showed that the addition of ordered structure provides a promising method for manufacturing intelligent flexible devices, making traditional flexible devices with multiple functions (microfluidics, motion detection and optical display). There is an urgent need for an overall summary of the evolution of paper devices so that readers can fully understand the field. Hence, in this review, we summarized the latest developments in intelligent paper devices, starting with the fabrication of paper and smart flexible paper devices, in the fields of biology, chemistry, electronics, etc. First, we outlined the manufacturing methods and applications of both traditional cellulose paper devices and modern smart devices based on pseudopaper (order paper). Then, considering different materials, such as cellulose, nitrocellulose, nature sourced photonic crystals (photonic crystals sourced from nature directly) and artificial photonic crystals, we summarized a new type of smart flexible device containing an ordered structure. Next, the applications of paper devices in biochemical sensing, wearable sensing, and cross-scale sensing were discussed. Finally, we summarized the development direction of this field. The aim of this review is to take an integral cognition approach to the development of smart flexible paper devices in multiple fields and promote communications between materials science, biology, chemistry and electrical science.

Correction: A bio-inspired photonic nitrocellulose array for ultrasensitive assays of single nucleic acids.

Correction for 'A bio-inspired photonic nitrocellulose array for ultrasensitive assays of single nucleic acids' by Junjie Chi, et al., Analyst, 2018, 143, 4559-4565.

Flourishing Smart Flexible Membranes Beyond Paper.

Recently, smart flexible membranes (SFMs), especially paper, have flourished, and SFM-based devices are characterized by passive response to external stimuli and manipulate liquids and electronics, making SFMs suitable for (bio)chemical sensing, display, wearable sensing, and energy harvesting. In this Feature, we summarize both the historical development and recent advances in SFM-based devices built with both traditional papers and other flexible membranes, including passive responses to external stimuli, manipulation of microfluidics and electronics, and multiple applications based on such manipulation.

Visualized Quantitation of Trace Nucleic Acids Based on the Coffee-Ring Effect on Colloid-Crystal Substrates.

We report a visualized quantitative detection method for nucleic acid amplification tests based on the coffee-ring effect on colloid-crystal substrates. The solution for loop-mediated isothermal amplification (LAMP) of DNA is drop cast on a colloid-crystal surface. After complete drying, a coffee ring containing the LAMP byproduct (i.e., magnesium pyrophosphate) is formed, and it is found that the width of the coffee ring is linearly correlated to the logarithm of the original DNA concentration before the isothermal amplification. Importantly, compared with other substrates, we found that the colloid-crystal substrate is an appropriate substrate for carrying out the assay of high sensitivity. On the basis of these findings, we develop a coffee-ring-based assay for quantitative readout of trace DNA in a sample. The assay requires 0.50 µL of the sample and is completed in 5 min in a homemade chamber with constant humidity. Semiquantitative detection of trace DNA is performed using naked eyes. With the use of a smartphone, the DNA in a sample can be quantitatively detected with a limit of detection of 20 copies.

Emerging paper microfluidic devices.

Paper has unique advantages over other materials, including low cost, flexibility, porosity, and self-driven liquid pumping, thus making it widely used in various fields in biology, chemistry, physics and materials science. Recently, many multifunctional and highly integrated membrane-based devices have been achieved with the rapid development of membrane-building materials such as paper and pseudo-paper. Therefore, the rigid boundary between paper and other membranes has become blurred; paper can be considered a flexible membrane, and membranes with appropriately flexible or porous structures can also be defined as paper. Paper can manipulate liquids and respond photoelectrically to external objects to be measured, making it suitable for (bio)chemical sensing (chromatographic analysis, electrochemical analysis and wearable sensing). This review focuses on the development of microfluidic devices built with both traditional paper and other flexible membranes, including fabrication, (bio)chemical sensing, microfluidics manipulation and multiple applications.

A Robust Cubature Kalman Filter with Abnormal Observations Identification Using the Mahalanobis Distance Criterion for Vehicular INS/GNSS Integration.

INS/GNSS (inertial navigation system/global navigation satellite system) integration is a promising solution of vehicle navigation for intelligent transportation systems. However, the observation of GNSS inevitably involves uncertainty due to the vulnerability to signal blockage in many urban/suburban areas, leading to the degraded navigation performance for INS/GNSS integration. This paper develops a novel robust CKF with scaling factor by combining the emerging cubature Kalman filter (CKF) with the concept of Mahalanobis distance criterion to address the above problem involved in nonlinear INS/GNSS integration. It establishes a theory of abnormal observations identification using the Mahalanobis distance criterion. Subsequently, a robust factor (scaling factor), which is calculated via the Mahalanobis distance criterion, is introduced into the standard CKF to inflate the observation noise covariance, resulting in a decreased filtering gain in the presence of abnormal observations. The proposed robust CKF can effectively resist the influence of abnormal observations on navigation solution and thus improves the robustness of CKF for vehicular INS/GNSS integration. Simulation and experimental results have demonstrated the effectiveness of the proposed robust CKF for vehicular navigation with INS/GNSS integration.

A bio-inspired photonic nitrocellulose array for ultrasensitive assays of single nucleic acids.

Here we report a bio-inspired photonic nitrocellulose array for ultrasensitive nucleic-acid detection. The patterned photonic nitrocellulose array is inspired by the Stenocara beetle living in the desert, which can collect water on its bumpy back surface from early morning fogs so that spontaneous generation of separated reaction droplets for loop-mediated isothermal amplification (LAMP)-based detection is enabled. Owing to the slow-photon effect of the photonic nitrocellulose, the fluorescence signal of calcein produced during the LAMP reaction can be effectively enhanced (up to 32 fold), which results in dramatically improved sensitivity for the detection of single nucleic acids in 40 min. We demonstrate that Staphylococcus aureus (SA) DNA can be quantitatively detected with a limit-of-detection of 0.60 copy per µL. The consumption of reagents and sample is also remarkably reduced owing to the highly decreased dead volume of the nitrocellulose substrate. Therefore, this bio-inspired photonic nitrocellulose array is promising for carrying out inexpensive, ultrasensitive, and high-throughput nucleic-acid detection under resource-limited settings.

Multi-Sensor Optimal Data Fusion Based on the Adaptive Fading Unscented Kalman Filter.

This paper presents a new optimal data fusion methodology based on the adaptive fading unscented Kalman filter for multi-sensor nonlinear stochastic systems. This methodology has a two-level fusion structure: at the bottom level, an adaptive fading unscented Kalman filter based on the Mahalanobis distance is developed and serves as local filters to improve the adaptability and robustness of local state estimations against process-modeling error; at the top level, an unscented transformation-based multi-sensor optimal data fusion for the case of N local filters is established according to the principle of linear minimum variance to calculate globally optimal state estimation by fusion of local estimations. The proposed methodology effectively refrains from the influence of process-modeling error on the fusion solution, leading to improved adaptability and robustness of data fusion for multi-sensor nonlinear stochastic systems. It also achieves globally optimal fusion results based on the principle of linear minimum variance. Simulation and experimental results demonstrate the efficacy of the proposed methodology for INS/GNSS/CNS (inertial navigation system/global navigation satellite system/celestial navigation system) integrated navigation.