Archer Materials, a semiconductor company advancing the quantum computing and medical diagnostics industries, has demonstrated multiplexing readout for its advanced Biochip graphene field effect transistor (“gFET”) device.

Archer confirmed single-device multiplexing using four advanced gFETs as sensors, which were integrated into the Archer advanced Biochip platform. This is significant as Archer intends to apply its multiplexing capability in the Biochip to test for multiple diseases on a single chip at once.

Researchers at Graphenea, University of Utah and Kairos Sensors have examined a perovskite-based graphene field effect transistor (P-GFET) device for X-ray detection. 

The device architecture consisted of a commercially available GFET-S20 chip, produced by Graphenea, with a layer of methylammonium lead iodide (MAPbI₃) perovskite spin coated onto the top of it. This device was exposed to the field of a molybdenum target X-ray tube with beam settings between 20 and 60 kVp (X-ray tube voltage) and 30–300 μA (X-ray tube current). Dose measurements were taken with an ion-chamber and thermo-luminescent dosimeters and used to determine the sensitivity of the device as a function of the X-ray tube voltage and current, as well as source-drain voltage. 

A research team, led by Soongeun Kwon from the Department of Nano Manufacturing Technology at the Korea Institute of Machinery and Materials (KIMM) and Professor Young-Jin Kim from the Department of Mechanical Engineering at the Korea Advanced Institute of Science and Engineering (KAIST), has reported the development of customized graphene-based e-textiles.

Unlike most conventional methods that rely on toxic chemicals or optical masks for patterning, the research team used laser-direct patterning technology to create laser-induced graphene (LIG) on e-textiles. This approach led to the production of graphene-based e-textiles. The team converted raw Kevlar textiles to electrically conductive laser-induced graphene (LIG) via femtosecond laser pulses in ambient air. 

Researchers at Penn State University recently developed an electronic “tongue” and an electronic “gustatory cortex” based on graphene ans MoS₂. The artificial tastebuds comprise tiny, graphene-based electronic sensors called chemitransistors that can detect gas or chemical molecules. The other part of the circuit uses memtransistors, which is a transistor that remembers past signals, made with molybdenum disulfide. This allowed the researchers to design an “electronic gustatory cortex” that connect a physiology-drive “hunger neuron,” psychology-driven “appetite neuron” and a “feeding circuit.”   

For instance, when detecting salt, or sodium chloride, the device senses sodium ions, explained Subir Ghosh, a doctoral student in engineering science and mechanics and co-author of the study. “This means the device can ‘taste’ salt,” Ghosh said. 

A team of researchers at Penn State has reported the design and fabrication of a long-term stable and highly sensitive flexible electrochemical sensor based on nanocomposite-modified porous graphene by facile laser treatment for detecting biomarkers such as glucose in sweat. 

The laser-reduced and patterned stable conductive nanocomposite on the porous graphene electrode provides the resulting glucose sensor with an excellent sensitivity of 1317.69 µA mm⁻¹ cm⁻² and an ultra-low limit of detection of 0.079 µm. The sensor can also detect pH and exhibit extraordinary stability to maintain more than 91% sensitivity over 21 days in ambient conditions. Taken together with a temperature sensor based on the same material system, the dual glucose and pH sensor integrated with a flexible microfluidic sweat sampling network further results in accurate continuous on-body glucose detection calibrated by the simultaneously measured pH and temperature. 

INBRAIN Neuroelectronics, a health-tech company dedicated to developing intelligent graphene-neural platform, has announced that its Intelligent Network Modulation System has been granted Breakthrough Device Designation (BDD) from the U.S. Food & Drug Administration (FDA) as an adjunctive therapy for treating Parkinson’s disease.

The INBRAIN system uses graphene, whose electrical and mechanical properties make it ideal for neurotechnology innovation. INBRAIN’s neural platform technology enables ultra-high signal resolution and uses machine learning software that decodes therapy-specific biomarkers to deliver highly focused, adaptive neuroelectronic therapy that re-balances pathological neural networks.

A team of researchers from The Barcelona Institute of Science and Technology (ICFO) and Barcelona-based startup Qurv Technologies have designed flexible, nearly transparent graphene-enhanced image sensors that could be hidden in plain sight.

The sensors, based on graphene and quantum dots, could be integrated directly onto eyeglasses or curved windshields, placed right in front of a user’s eyes. This could make eye-tracking hardware less bulky, improve the accuracy of gaze detection, and reduce computational complexity, says Frank Koppens, who co-led the research and co-founded Qurv in 2020.

Lyten has announced it has raised $200 million as part of its over-subscribed Series B funding round, to scale manufacturing and commercialize its first three product lines: Lithium-Sulfur batteries, lightweight composites, and next generation IoT sensors.

The round is led by Prime Movers Lab, a venture capital firm focused on investments in breakthrough scientific startups and has $1.2B in assets under management. Prime Movers Lab is joined with significant participation from strategic investors and sector leaders Stellantis (previously announced), FedEx Corporation, Honeywell, and Walbridge Aldinger Company. Additional strategic, venture capital and individual investors make up the remainder of the round.

A team of researchers, led by the University of Wisconsin-Milwaukee, recently developed a path to mass-manufacture high-performance graphene sensors that can detect heavy metals and bacteria in flowing tap water. This advance could bring down the cost of such sensors to just US $1 each, allowing people to test their drinking water for toxins at home.

The sensors have to be extraordinarily sensitive to catch the minute concentrations of toxins that can cause harm. For example, the U.S. Food and Drug Administration states that bottled water must have a lead concentration of no more than 5 parts per billion. Today, detecting parts-per-billion or even parts-per-trillion concentrations of heavy metals, bacteria, and other toxins is only possible by analyzing water samples in the laboratory, says Junhong Chen, a professor of molecular engineering at the University of Chicago and the lead water strategist at Argonne National Laboratory. But his group has developed a sensor with a graphene field-effect transistor (FET) that can detect toxins at those low levels within seconds.

The Graphene Flagship, Europe's $1 billion graphene research initiative, has summed up its progress in advancing graphene-based innovations for automotive in the last ten years. The project examines, among other topics, how graphene can address key challenges in the automotive sector, such as fuel efficiency, recycling, and environmental impact.

Graphene has the potential to drive significant advancements in the automotive industry — from strengthening structural components to improving electrochemical energy storage (i.e., Batteries) efficiency and safety in electric cars as well as enhancing the performance of the self-driving car. The Graphene Flagship has orchestrated a number of projects researching the benefits of graphene in automotive applications and how vehicles can be improved. The Graphene Flagship reports it is now seeing this research and development come to fruition. Listed below are the automotive-related advancements that were achieved.