Artificial photosynthesis is the secret to stopping global warming in its tracks. This is something that has been debated for some time amongst scientific groups and different universities who have been conducting research and various studies on the issue. Now though, there is even more overwhelming evidence in favor of artificial photosynthesis systems helping the global warming battle than before. Specifically, we’re talking about the research conducted at, U.S. Department of Energy’s Lawrence Berkeley National Laboratory and the University of California Berkeley.

Peidong Yang, who led the study said, “We believe our system is a revolutionary leap forward in the field of artificial photosynthesis.” Their system mimics natural photosynthesis and for plants and the rest of the natural world – no difference would be noticed between the artificial method and the natural one. That’s an impressive accomplishment, given the fact that artificial photosynthesis poses such a significant hope to improve the overall climate.

In their paper, the study points out that, “by developing a biocompatible light-capturing nanowire array that enables a direct interface with microbial systems.” It goes on to point out that, “hybrid semiconductor nanowire–bacteria system can reduce CO2 at neutral pH to a wide array of chemical targets, such as fuels, polymers, and complex pharmaceutical precursors, using only solar energy input.” This makes it one of the most interesting findings in any scientific study in recent years.

Moreover, this is proof that if humans are not willing to reduce their overall carbon output or footprint, then answers like this will be necessary in order for us to continue on in the very long term. The imprint we’re leaving is larger than the world can handle itself, so we need to address the result – if we aren’t going to address the problem. Some are reducing their overall output of carbon emissions but at the end of the day – we’re talking about systems that could have a profound impact on our planet – if they can be implemented in the correct way. Right now though, it is still very early in the process – and this can only be labeled as an impressive breakthrough.