Acid and alkali-resistant fabric-based triboelectric nanogenerator for self-powered intelligent monitoring of protective clothing in highly corrosive environments.

The corrosion of materials severely limits the application scenarios of triboelectric nanogenerators (TENGs), especially in laboratories, chemical plants and other fields where leakage of chemically corrosive solutions is common. Here, we demonstrate a chemical-resistant triboelectric nanogenerator (CR-TENG) based on polysulfonamide (PSA) and polytetrafluoroethylene (PTFE) non-woven fabrics. The CR-TENG can stably harvest biological motion energy and perform intelligent safety protection monitoring in a strong corrosive environment. After treatment with strong acid and alkali solution for 7 days, the fabric morphology, diameter, tensile properties and output of CR-TENG are not affected, showing high reliability. CR-TENG integrated into protective equipment can detect the working status of protective equipment in real time, monitor whether it is damaged, and provide protection for wearers working in high-risk situations. In addition, the nonwoven-based CR-TENG has better wearing comfort and is promising for self-powered sensing in harsh environments.

Insulator polymers achieve efficient catalysis under visible light due to contact electrification.

Under the limitation of the carrier yield and mobility of semiconductor photocatalysts and the reaction domain, it seems that the photocatalytic efficiency cannot be greatly improved. Here, an efficient contact-electro-catalysis (CEC) system based on droplet triboelectric nanogenerator (TENG) is developed. Instead of using traditional semiconductor catalysts, the electric charge transferred during the electrification process of the contact between water droplets and polytetrafluoroethylene (PTFE) is used to participate in catalysis, and the output electrical signal can also monitor the degree of catalysis. The important role of light in the circulation of this CEC system is studied and discussed for the first time. It is proved that the contact electrification at the liquid-solid interface is accompanied by the generation of a large number of strong oxidizing radicals. The efficient transport of charge carriers driven by mechanical force and the active oxygen species distributed in the whole domain greatly improve the degradation rate of dyes. The experimental data show that the degradation efficiency of crystal violet (CV) reaches 90% within 38 s, and the rate constant k is as high as 3.7 min-1. This is a breakthrough in the field of catalysis.

Artificial blood vessel biofuel cell for self-powered blood glucose monitoring.

Biofuel cell (BFC) is a kind of bio-cell based on biological enzymes. The enzyme as a catalyst can interconvert renewable and sustainable energy into each other more rapidly, such as the biochemical energy in glucose and ethanol into electrical energy. In this work, artificial blood vessel and fuel cell are based on polyaniline/thermoplastic polyurethane (PANI/TPU) fiber membrane with an average fiber diameter of 1300 nm, a film thickness of 167µm, and a permeability of 18.4 mm s-1. The PANI/TPU fiber membrane was prepared by electrospinning and followedin situpolymerization. The membrane has good flexibility and mechanical properties, and can be stretched up to 200%. The advantages of good hydrophilicity, biocompatibility and high porosity make it possible to efficiently load glucose oxidase and laccase. The prepared BFC can stably output a voltage of 50 mV in simulated blood, and the output electrical signal changes significantly with the change of glucose concentration, which may be used in implantable devices or blood glucose monitoring.

High output achieved by sliding electrification of an electrospun nano-grating.

The rapid development of flexible and wearable electronics has proposed a trend towards miniaturization, mobility, versatility and artificial intelligence. Triboelectric nanogenerators (TENGs) can make use of micro/nano multi-functional materials to harvest and store energy from the surrounding environment efficiently, which can drive smart portable electronics operating continuously and steadily. The increase in the output power density of the triboelectric nanogenerator requires new designs. In this work, a new grating TENG was proposed, and the two friction layers were fabricated by near-field electrospinning and conventional electrospinning with two parallel electrodes as a collector, respectively. The basic model of the simulation was simplified according to the highly ordered structure and the repeatability of the TENG grating structure. The effect of the effective contact area on the output of the TENG was further proved by fitting the calculation regularity of the two models with the experimental results. At the same time, the effect of the redundant electrode on the output of the TENG was verified by experiments. We found that this nanogenerator can achieve a very high output of 1800 W m-2 due to a more refined grating structure combined with modification of the contact area. The TENG can also be used as a selfpowered sensor to detect mechanical signals, which requires no additional power source to drive it. Meanwhile, the anisotropic nature of the TENG can also be utilized to sense angles, lock devices or encrypt information. This output control technology provides a more effective idea for future output power improvement, that is, a new generation of high-output TENGs can be designed by effectively adjusting the corresponding contact area and electrode area.

An acid and alkali-resistant triboelectric nanogenerator.

With the development of technology, environmental problems have become more and more acute and the use of electronic devices in harsh environments has gradually attracted attention. For example, the friction layer of triboelectric nanogenerators (TENGs) may be contaminated and corroded in harsh environments (such as acidic, alkaline or oily environments), resulting in damage or destruction of the TENGs. In this study, we use electrospinning followed by a sintering process to prepare a super-hydrophobic sintered polyvinyl alcohol-polytetrafluoroethylene (S-PVA-PTFE) composite membrane and general industrial oil-absorbing paper to construct a TENG. The maximum power density of the TENG is 261 mW m-2, it can light up 100 blue LEDs, and can power a variety of small electronic devices. Moreover, after 72 h of soaking the friction layer in a strong acid solution followed by a strong alkali solution, the performance of the TENG has no obvious change. The TENG can work stably in an oily working environment. The TENG provides a novel approach for self-powered sensors that work in harsh environments.

Phenotypic divergence of thermotolerance: Molecular basis and cold adaptive evolution related to intrinsic DNA flexibility of glacier-inhabiting Cryobacterium strains.

The link between guanine-cytosine (GC) content and thermal adaptation is controversial. Here, we compared maximum growth temperature (TMGT ) and genomics of 78 Cryobacterium strains to avoid unreliable conclusions resulting from distantly phylogenetic groups. Phylogenomic analysis revealed this taxon had much higher diversification than we knew. Interestingly, these strains showed thermotolerance divergence with phylogenetic cohesion. A significant difference was found between TMGT ≤ 20°C strains and TMGT > 20°C strains in genomic GC content which mainly caused by variation of GC3. TMGT ≤ 20°C strains tended to use synonymous codons ended with A/U, but TMGT > 20°C strains tended to use G/C. Lower GC content at synonymous sites (≈GC3) of TMGT ≤ 20°C strains could provide lower intrinsic DNA flexibility which strongly associated with optimal molecular dynamics, and then guarantee DNA function at lower growth temperatures. This analysis of codon bias revealed close relationships for thermal adaptation, GC content at synonymous sites (≈GC3), intrinsic DNA flexibility and optimal DNA dynamics. Natural selection was main force driving this codon bias; strains with lower TMGT endured stronger natural selection. Therefore, this study provided molecular basis for bacterial adaptive evolution from moderate temperature to low temperature.

Wireless Single-Electrode Self-Powered Piezoelectric Sensor for Monitoring.

In complex environments, there are often toxic and harmful conditions, and so self-powered sensors that use wireless access have a huge advantage. However, there is still a risk of short circuit for self-powered sensors in harsh environments. A single-electrode self-powered sensor was designed, which can be used to monitor body movements such as walking and running, as well as monitoring the motion of some mechanical devices, such as peristaltic pumps, door, and window switches. By using a threshold delay algorithm, this self-powered sensor can be connected to the phone to warn the phone user to check for theft or illegal intrusion when the door and window are opened. Further research shows that the single-electrode configuration can avoid the short-circuit behavior caused by device damage so that the self-powered sensor can still work even if it is pierced. Therefore, the wireless single-electrode self-powered sensor system has better reliability and is more applicable to harsh environments.

Preparation of Nanofibrous PVDF Membrane by Solution Blow Spinning for Mechanical Energy Harvesting.

Self-powered nanogenerators composed of poly(vinylidene fluoride) (PVDF) have received much attention. Solution blow spinning (SBS) is a neoteric process for preparing nanofiber mats with high efficiency and safely, and SBS is a mature fiber-forming technology that offers many advantages over conventional electrospinning methods. Herein, we adopted the SBS method to prepare independent PVDF nanofiber membranes (NFMs), and successfully employed them as nanogenerators. Finally, we tested the change in the output current caused by mechanical compression and stretching, and studied its durability and robustness by charging the capacitor, which can drive tiny electronic devices. The results show that the PVDF nanogenerators by using this SBS equipment can not only be used in wearable electronic textiles, but are also suitable for potential applications in micro-energy harvesting equipment.

Bionic Single-Electrode Electronic Skin Unit Based on Piezoelectric Nanogenerator.

Moravec's paradox shows that low-level sensorimotor skills are more difficult than high-level reasoning in artificial intelligence and robotics. So simplifying every sensing unit on electronic skin is critical for endowing intelligent robots with tactile and temperature sense. The human nervous system is characterized by efficient single-electrode signal transmission, ensuring the efficiency and reliability of information transmission under big data conditions. In this work, we report a sensor based on a single-electrode piezoelectric nanogenerator (SPENG) by electrospun polyvinylidene fluoride (PVDF) nanofibers that can realize steady-state sensing of pressure integrating cold/heat sensing on a single unit. Piezoelectric signals appear as square wave signals, and the thermal-sensing signals appear as pulse signals. Therefore, the two signals can be acquired by a single unit simultaneously. The SPENG overcomes the shortcoming of electronic skins based on a single-electrode triboelectric nanogenerator (STENG), which can sense only dynamic movement and cannot sense temperature variations. The new sensor configuration uses a capacitor instead of the STENG's ground wire as a potential reference, allowing it to be used for truly autonomous robots. At the same time, the traditional advantages of polymer piezoelectric materials, such as flexibility, transparency, and self-powered advantages, have also been preserved.

Binning_refiner: improving genome bins through the combination of different binning programs.

SUMMARY: Microbial genomes have recently been reconstructed from metagenomic datasets using binning approaches. Inconsistent binning results are however often observed between different binning programs, likely due to the different algorithms or statistical models used. We present Binning_refiner, a pipeline that merges the results of different binning programs. Our results demonstrated that Binning_refiner can significantly reduce the contamination level of genome bins and increase the total size of contamination-free and 'good-quality' genome bins. Binning_refiner is thus an useful tool to improve the quality of genome bins derived from metagenomic data. AVAILABILITY AND IMPLEMENTATION: Binning_refiner is implemented in Python3 and is freely available at: https://github.com/songweizhi/Binning_refiner . CONTACT: songwz03@gmail.com or t.thomas@unsw.edu.au. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.