Virginia Tech learns how to get hydrogen from any plant, might lower fuel cell costs

Virginia Tech can extract hydrogen from any plant, may lower fuel cell vehicle costs

Hydrogen fuel cell cars have any number of hurdles to overcome, whether it's widespread adoption or the basic matter of locating a place to fill up. If a Virginia Tech discovery pans out, getting the fuel itself won't be one of those challenges. The new combination of a polyphosphate with a special blend of enzymes lets researchers extract meaningful quantities of hydrogen from any biological element that includes xylose -- in other words, the sugar that's present in every plant to at least some degree. The process is potentially more eco-friendly than most, as well. While you'd expect it to be renewable given the main ingredients, it also reduces the need for metals and cuts back sharply on the volume of necessary greenhouse gases. Most importantly, the findings could reach the commercial world as soon as three years from now. If they do, they could lower the price of hydrogen fuel by making it more accessible, all the while avoiding much of the guilt trip that comes with using polluting technology to generate clean energy.

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Via: The Verge

Source: Virginia Tech, Wiley

MIT crafts genetic circuits that remember their work through DNA

MIT crafts genetic circuits that remember their work through DNA

It's easy to find work on gene-based storage; finding genes that will do any of the heavy lifting is another matter. MIT believes it has a genetic circuit that will finally get to work, and then some. In using recombinase enzymes to alter DNA sequences serving as logic gates, researchers have developed a cellular circuit that not only mimics its silicon cousins, but has its own built-in memory. As the gate activation makes permanent changes to a given DNA sequence, any gate actions stay in memory for up to 90 generations -- and will hang around even if the cell's life is cut short. MIT sees its technique as having ultimate uses for areas where longer-term memory is important, such as environmental sensors, but could also see varying output values helping with digital-to-analog converters and other devices where there's a need for more precision. While there's no word on imminent plans for real-world use, the development raises the possibility of processors that could skip the traditional memory cache as they pass info down the family tree.

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Via: SciTechDaily

Source: MIT