Tribovoltaic Effect: Origin, Interface, Characteristic, Mechanism & Application

Tribovoltaic effect is a phenomenon of the generation of direct voltage and current by the mechanical friction on semiconductor interface, which exhibits a brand-new energy conversion mechanism by the coupling of semiconductor and triboelectrification. Here, the origin, interfaces, characteristics, mechanism, coupling effect and application of the tribovoltaic effect is summarized and reviewed. The tribovoltaic effect is first proposed in 2019, which has developed in various forms tribovoltaic nanogenerator (TVNG) including metal-semiconductor, metal-insulator-semiconductor, semiconductor-semiconductor, liquid-solid and flexible interfaces. Compared with triboelectric nanogenerator, the TVNG has the characteristics of direct-current, high current density (mA-A cm-2) and low impedance (Ω-kΩ). The two mainstream views on the tribovoltaic generation mechanism, one dominated by built-in electric fields and the other dominated by interface electric fields, have been elaborated and summarized in detail. The tribo-photovoltaic effect and tribo-thermoelectric effect are also discovered and introduced because they can easily interact with other multi-physical field effects. The TVNGs are suitable for making energy harvesting and self-powered sensing devices for micro-nano energy applications. This paper not only revisit the development of the tribovoltaic effect, but also makes prospects for mechanism research, device fabrication and integrated application, which can accelerate the evolution of smart wearable electronics and intelligent industrial components.

An Ultrahigh Power Density and Ultralow Wear GaN-Based Tribovoltaic Nanogenerator for Sliding Ball Bearing as Self-Powered Wireless Sensor Node

The tribovoltaic effect is regarded as a newly discovered semiconductor effect for mechanical-to-electrical energy conversion. However, tribovoltaic nanogenerators (TVNGs) are widely limited by low output power and poor wear resistance for device integration and application. Here, this work invents a TVNG using a ball-on-disk structure composed of gallium nitride (GaN) and steel ball. It exhibits an open-circuit voltage exceeding 130 V and an ultrahigh normalized average power density of 24.6 kW m-2 Hz-1 , which is a 282-fold improvement compared to previous works. Meanwhile, this TVNG reaches an ultralow wear rate of 5 × 10-7 mm3 N-1 m-1 at a maximum contact pressure of 906.6 MPa, surpassing the TVNG composed of Si by three orders of magnitude due to the local concentrated injection of frictional energy. Based on the TVNG, this work constructs the first tribovoltaic bearing and achieves sensing signal transmission within 16 s (300 rpm) by integrating a management circuit, a transmission module, a relay, and receiving terminals, which enables the monitoring of ambient pressure and temperature. This work realizes a GaN-based TVNG with high-performance and low wear simultaneously, demonstrating great potential for intelligent components and self-powered sensor nodes in the industrial Internet of Things.

Analyzing gene expression profiles in dilated cardiomyopathy via bioinformatics methods

Dilated cardiomyopathy (DCM) is characterized by ventricular dilatation, and it is a common cause of heart failure and cardiac transplantation. This study aimed to explore potential DCM-related genes and their underlying regulatory mechanism using methods of bioinformatics. The gene expression profiles of GSE3586 were downloaded from Gene Expression Omnibus database, including 15 normal samples and 13 DCM samples. The differentially expressed genes (DEGs) were identified between normal and DCM samples using Limma package in R language. Pathway enrichment analysis of DEGs was then performed. Meanwhile, the potential transcription factors (TFs) and microRNAs (miRNAs) of these DEGs were predicted based on their binding sequences. In addition, DEGs were mapped to the cMap database to find the potential small molecule drugs. A total of 4777 genes were identified as DEGs by comparing gene expression profiles between DCM and control samples. DEGs were significantly enriched in 26 pathways, such as lymphocyte TarBase pathway and androgen receptor signaling pathway. Furthermore, potential TFs (SP1, LEF1, and NFAT) were identified, as well as potential miRNAs (miR-9, miR-200 family, and miR-30 family). Additionally, small molecules like isoflupredone and trihexyphenidyl were found to be potential therapeutic drugs for DCM. The identified DEGs (PRSS12 and FOXG1), potential TFs, as well as potential miRNAs, might be involved in DCM.

Frequency of glycated hemoglobin monitoring was inversely associated with glycemic control of patients with Type 2 diabetes mellitus

BACKGROUND

The frequency of monitoring glycated hemoglobin (HbA(1c)) and its impact on glycemic control of Chinese Type 2 diabetes mellitus (T2DM) patients have not been well understood.

AIM

To explore the current status of the glycemic control, the frequency of HbA(1c) monitoring, and their relationship in T2DM outpatients in urban China.

SUBJECTS AND METHODS

A cross-sectional study was carried out in 15 hospitals purposely sampled from 4 cities of China. T2DM outpatients were consecutively recruited, and underwent a face-to-face interview in outpatient consulting rooms using a self-developed structured questionnaire to collect information. All consented patients were invited to have a free HbA(1c) test.

RESULTS

Among 1511 subjects, the average level of HbA(1c) was 8.1±1.6% with the ideal percents of 13.6% and 24.8% (HbA(1c)<6.5% and <7.0%, respectively). Less than 1/3 (339/1157) had received 2 or more HbA(1c) tests per yr, and they had a significantly lower average of HbA(1c) than those having only 1 or no test per yr (F=5.012, p=0.007). After adjustment for possible confounders including age, gender, and city, there was a significantly inverse association with adjusted odds ratios of 2.56 [95% confidence interval (CI): 1.71, 3.86] and 1.67 (95% CI: 1.11, 2.50), respectively, between the frequency of monitoring HbA(1c) (null, once vs ≥2 times per yr) and worse glycemic control (HbA(1c)≥7.0%).

CONCLUSIONS

Glycemic control of T2DM outpatients was poor in urban China. Frequency of HbA(1c) monitoring is seriously insufficient in majority of patients. Lower frequency of HbA(1c) monitoring is significantly associated with poor glycemic control.