Science and Research
Converging Multidimensional Sensor and Machine Learning Towards High-Throughput and Biorecognition Element-Free Multidetermination of Extracellular Vesicle Biomarkers
Electronic micrograph (artificially colored) of the self-rolled nanomembrane-based vertical organic transistor. The incident light and the water molecules illustrate the multi-sensing capability of such a novel electronic device
Annealing of sugarcane biocarbons under isopropanol vapor boosted their electrical conductivity and enabled printed electrical and electrochemical devices
Rectification ratio and direction controlled by temperature in copper phthalocyanine ensemble molecular diodes
Organic diodes and molecular rectifiers are fundamental electronic devices that share one common feature: current rectification ability (…)
The hierarchical structure and alignment of cellulose fibers from wood was explored to produce polymeric composites with anisotropic mechanical properties, inspired by what trees naturally do
An innovative coating method was explored to prepare three-dimensional functional conductive structures using bamboo as a bio-template. Such remarkable feature enabled the fabrication of unprecedented electrical and electrochemical devices
Ambipolar Resistive Switching in an Ultrathin Surface-Supported Metal–Organic Framework Vertical Heterojunction
Memristors (MRs) are considered promising devices with the enormous potential to replace complementary metal-oxide-semiconductor (CMOS) technology, which approaches the scale limit (…)
Delayed Capillary Flow of Elastomers: An Efficient Method for Fabrication and Nanofunctionalization of Flexible, Foldable, Twistable, and Stretchable Electrodes from Pyrolyzed Paper
Pyrolyzed cellulose-based materials are extensively used in many fields for many different applications due to their excellent electrical properties. However, pyrolyzed materials are extremely fragile and prone to crack (…)
Ordinary microfluidic electrodes combined with bulk nanoprobe produce multidimensional electric double-layer capacitances towards metal ion recognition
In addition to recognizing mineral water and lake samples, our platform was used to monitor the salinity of offshore petroleum exploratory well. Using machine learning, the chip also assured simultaneous quantification of the individual concentration of heavy metal ions in mixtures.
Common tools to comprehensively characterize the toxicological profile of two dimensional materials at cell level
This chapter aims to review the latest knowledge and most significant works on the assessment of two dimensional materials potential to induce adverse effects on human health. It highlights the key knowledge achieved so far, not only in terms of negative impact but also solutions identified to make those materials safer or even biocompatible.