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Wednesday, July 22nd, 2020
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| 12:00a |
Covid-19 shutdown led to increased solar power output As the Covid-19 shutdowns and stay-at-home orders brought much of the world’s travel and commerce to a standstill, people around the world started noticing clearer skies as a result of lower levels of air pollution. Now, researchers have been able to demonstrate that those clearer skies had a measurable impact on the output from solar photovoltaic panels, leading to a more than 8 percent increase in the power output from installations in Delhi.
While such an improved output was not unexpected, the researchers say this is the first study to demonstrate and quantify the impact of the reduced air pollution on solar output. The effect should apply to solar installations worldwide, but would normally be very difficult to measure against a background of natural variations in solar panel output caused by everything from clouds to dust on the panels. The extraordinary conditions triggered by the pandemic, with its sudden cessation of normal activities, combined with high-quality air-pollution data from one of the world’s smoggiest cities, afforded the opportunity to harness data from an unprecedented, unplanned natural experiment.
The findings are reported today in the journal Joule, in a paper by MIT professor of mechanical engineering Tonio Buonassisi, research scientist Ian Marius Peters, and three others in Singapore and Germany.
The study was an extension of previous research the team has been conducting in Delhi for several years. The impetus for the work came after an unusual weather pattern in 2013 swept a concentrated plume of smoke from forest fires in Indonesia across a vast swath of Indonesia, Malaysia, and Singapore, where Peters, who had just arrived in the region, found “it was so bad that you couldn’t see the buildings on the other side of the street.”
Since he was already doing research on solar photovoltaics, Peters decided to investigate what effects the air pollution was having on solar panel output. The team had good long-term data on both solar panel output and solar insolation, gathered at the same time by monitoring stations set up adjacent to the solar installations. They saw that during the 18-day-long haze event, the performance of some types of solar panels decreased, while others stayed the same or increased slightly. That distinction proved useful in teasing apart the effects of pollution from other variables that could be at play, such as weather conditions.
Peters later learned that a high-quality, years-long record of actual measurements of fine particulate air pollution (particles less than 2.5 micrometers in size) had been collected every hour, year after year, at the U.S. Embassy in Delhi. That provided the necessary baseline for determining the actual effects of pollution on solar panel output; the researchers compared the air pollution data from the embassy with meteorological data on cloudiness and the solar irradiation data from the sensors.
They identified a roughly 10 percent overall reduction in output from the solar installations in Delhi because of pollution – enough to make a significant dent in the facilities’ financial projections.
To see how the Covid-19 shutdowns had affected the situation, they were able to use the mathematical tools they had developed, along with the embassy’s ongoing data collection, to see the impact of reductions in travel and factory operations. They compared the data from before and after India went into mandatory lockdown on March 24, and also compared this with data from the previous three years.
Pollution levels were down by about 50 percent after the shutdown, they found. As a result, the total output from the solar panels was increased by 8.3 percent in late March, and by 5.9 percent in April, they calculated.
“These deviations are much larger than the typical variations we have” within a year or from year to year, Peters says — three to four times greater. “So we can’t explain this with just fluctuations.” The amount of difference, he says, is roughly the difference between the expected performance of a solar panel in Houston versus one in Toronto.
An 8 percent increase in output might not sound like much, Buonassisi says, but “the margins of profit are very small for these businesses.” If a solar company was expecting to get a 2 percent profit margin out of their expected 100 percent panel output, and suddenly they are getting 108 percent output, that means their margin has increased fivefold, from 2 percent to 10 percent, he points out.
The findings provide real data on what can happen in the future as emissions are reduced globally, he says. “This is the first real quantitative evaluation where you almost have a switch that you can turn on and off for air pollution, and you can see the effect,” he says. “You have an opportunity to baseline these models with and without air pollution.”
By doing so, he says, “it gives a glimpse into a world with significantly less air pollution.” It also demonstrates that the very act of increasing the usage of solar electricity, and thus displacing fossil-fuel generation that produces air pollution, makes those panels more efficient all the time.
Putting solar panels on one’s house, he says, “is helping not only yourself, not only putting money in your pocket, but it’s also helping everybody else out there who already has solar panels installed, as well as everyone else who will install them over the next 20 years.” In a way, a rising tide of solar panels raises all solar panels.
Though the focus was on Delhi, because the effects there are so strong and easy to detect, this effect “is true anywhere where you have some kind of air pollution. If you reduce it, it will have beneficial consequences for solar panels,” Peters says.
Even so, not every claim of such effects is necessarily real, he says, and the details do matter. For example, clearer skies were also noted across much of Europe as a result of the shutdowns, and some news reports described exceptional output levels from solar farms in Germany and in the U.K. But the researchers say that just turned out to be a coincidence.
“The air pollution levels in Germany and Great Britain are generally so low that most PV installations are not significantly affected by them,” Peters says. After checking the data, what contributed most to those high levels of solar output this spring, he says, turned out to be just “extremely nice weather,” which produced record numbers of sunlight hours.
The research team included C. Brabec and J. Hauch at the Helmholtz-Institute Erlangen-Nuremberg for Renewable Energies, in Germany, where Peters also now works, and A. Nobre at Cleantech Solar in Singapore. The work was supported by the Bavarian State Government. | | 10:59a |
Mapping the brain’s sensory gatekeeper Many people with autism experience sensory hypersensitivity, attention deficits, and sleep disruption. One brain region that has been implicated in these symptoms is the thalamic reticular nucleus (TRN), which is believed to act as a gatekeeper for sensory information flowing to the cortex.
A team of researchers from MIT and the Broad Institute of MIT and Harvard has now mapped the TRN in unprecedented detail, revealing that the region contains two distinct subnetworks of neurons with different functions. The findings could offer researchers more specific targets for designing drugs that could alleviate some of the sensory, sleep, and attention symptoms of autism, says Guoping Feng, one of the leaders of the research team.
“The idea is that you could very specifically target one group of neurons, without affecting the whole brain and other cognitive functions,” says Feng, the James W. and Patricia Poitras Professor of Neuroscience at MIT and a member of MIT’s McGovern Institute for Brain Research.
Feng; Zhanyan Fu, associate director of neurobiology at the Broad Institute’s Stanley Center for Psychiatric Research; and Joshua Levin, a senior group leader at the Broad Institute, are the senior authors of the study, which appears today in Nature. The paper’s lead authors are former MIT postdoc Yinqing Li, former Broad Institute postdoc Violeta Lopez-Huerta, and Broad Institute research scientist Xian Adiconis.
Distinct populations
When sensory input from the eyes, ears, or other sensory organs arrives in our brains, it goes first to the thalamus, which then relays it to the cortex for higher-level processing. Impairments of these thalamo-cortical circuits can lead to attention deficits, hypersensitivity to noise and other stimuli, and sleep problems.
One of the major pathways that controls information flow between the thalamus and the cortex is the TRN, which is responsible for blocking out distracting sensory input. In 2016, Feng and MIT Assistant Professor Michael Halassa, who is also an author of the new Nature paper, discovered that loss of a gene called Ptchd1 significantly affects TRN function. In boys, loss of this gene, which is carried on the X chromosome, can lead to attention deficits, hyperactivity, aggression, intellectual disability, and autism spectrum disorders.
In that study, the researchers found that when the Ptchd1 gene was knocked out in mice, the animals showed many of the same behavioral defects seen in human patients. When it was knocked out only in the TRN, the mice showed only hyperactivity, attention deficits, and sleep disruption, suggesting that the TRN is responsible for those symptoms.
In the new study, the researchers wanted to try to learn more about the specific types of neurons found in the TRN, in hopes of finding new ways to treat hyperactivity and attention deficits. Currently, those symptoms are most often treated with stimulant drugs such as Ritalin, which have widespread effects throughout the brain.
“Our goal was to find some specific ways to modulate the function of thalamo-cortical output and relate it to neurodevelopmental disorders,” Feng says. “We decided to try using single-cell technology to dissect out what cell types are there, and what genes are expressed. Are there specific genes that are druggable as a target?”
To explore that possibility, the researchers sequenced the messenger RNA molecules found in neurons of the TRN, which reveals genes that are being expressed in those cells. This allowed them to identify hundreds of genes that could be used to differentiate the cells into two subpopulations, based on how strongly they express those particular genes.
They found that one of these cell populations is located in the core of the TRN, while the other forms a very thin layer surrounding the core. These two populations also form connections to different parts of the thalamus, the researchers found. Based on those connections, the researchers hypothesize that cells in the core are involved in relaying sensory information to the brain’s cortex, while cells in the outer layer appear to help coordinate information that comes in through different senses, such as vision and hearing.
“Druggable targets”
The researchers now plan to study the varying roles that these two populations of neurons may have in a variety of neurological symptoms, including attention deficits, hypersensitivity, and sleep disruption. Using genetic and optogenetic techniques, they hope to determine the effects of activating or inhibiting different TRN cell types, or genes expressed in those cells.
“That can help us in the future really develop specific druggable targets that can potentially modulate different functions,” Feng says. “Thalamo-cortical circuits control many different things, such as sensory perception, sleep, attention, and cognition, and it may be that these can be targeted more specifically.”
This approach could also be useful for treating attention or hypersensitivity disorders even when they aren’t caused by defects in TRN function, the researchers say.
“TRN is a target where if you enhance its function, you might be able to correct problems caused by impairments of the thalamo-cortical circuits,” Feng says. “Of course we are far away from the development of any kind of treatment, but the potential is that we can use single-cell technology to not only understand how the brain organizes itself, but also how brain functions can be segregated, allowing you to identify much more specific targets that modulate specific functions.”
The research was funded by the Simons Center for the Social Brain at MIT, the Hock E. Tan and K. Lisa Yang Center for Autism Research at MIT, the James and Patricia Poitras Center for Psychiatric Disorders Research at MIT, the Stanley Center for Psychiatric Research at the Broad Institute, the National Institutes of Health/National Institute for Mental Health, the Klarman Cell Observatory at the Broad Institute, the Pew Foundation, and the Human Frontiers Science Program. | | 11:00a |
Chemists make tough plastics recyclable Thermosets, which include epoxies, polyurethanes, and rubber used for tires, are found in many products that have to be durable and heat-resistant, such as cars or electrical appliances. One drawback to these materials is that they typically cannot be easily recycled or broken down after use, because the chemical bonds holding them together are stronger than those found in other materials such as thermoplastics.
MIT chemists have now developed a way to modify thermoset plastics with a chemical linker that makes the materials much easier to break down, but still allows them to retain the mechanical strength that makes them so useful.
In a study appearing today in Nature, the researchers showed that they could produce a degradable version of a thermoset plastic called pDCPD, break it down into a powder, and use the powder to create more pDCPD. They also proposed a theoretical model suggesting that their approach could be applicable to a wide range of plastics and other polymers, such as rubber.
“This work unveils a fundamental design principle that we believe is general to any kind of thermoset with this basic architecture,” says Jeremiah Johnson, a professor of chemistry at MIT and the senior author of the study.
Peyton Shieh, an American Cancer Society Postdoctoral Fellow at MIT, is the first author of the paper.
Hard to recycle
Thermosets are one of the two major classes of plastics, along with thermoplastics. Thermoplastics include polyethylene and polypropylene, which are used for plastic bags and other single-use plastics like food wrappers. These materials are made by heating up small pellets of plastic until they melt, then molding them into the desired shape and letting them cool back into a solid.
Thermoplastics, which make up about 75 percent of worldwide plastic production, can be recycled by heating them again until they become liquid, so they can be remolded into a new shape.
Thermoset plastics are made by a similar process, but once they are cooled from a liquid into a solid, it is very difficult to return them to a liquid state. That’s because the bonds that form between the polymer molecules are strong chemical attachments called covalent bonds, which are very difficult to break. When heated, thermoset plastics will typically burn before they can be remolded, Johnson says.
“Once they are set in a given shape, they're in that shape for their lifetime,” he says. “There is often no easy way to recycle them.”
The MIT team wanted to develop a way to retain the positive attributes of thermoset plastics — their strength and durability — while making them easier to break down after use.
In a paper published last year, with Shieh as the lead author, Johnson’s group reported a way to create degradable polymers for drug delivery, by incorporating a building block, or monomer, containing a silyl ether group. This monomer is randomly distributed throughout the material, and when the material is exposed to acids, bases, or ions such as fluoride, the silyl ether bonds break.
The same type of chemical reaction used to synthesize those polymers is also used to make some thermoset plastics, including polydicyclopentadiene (pDCPD), which is used for body panels in trucks and buses.
Using the same strategy from their 2019 paper, the researchers added silyl ether monomers to the liquid precursors that form pDCPD. They found that if the silyl ether monomer made up between 7.5 and 10 percent of the overall material, pDCPD would retain its mechanical strength but could be broken down into a soluble powder upon exposure to fluoride ions.
“That was the first exciting thing we found,” Johnson says. “We can make pDCPD degradable while not hurting its useful mechanical properties.”
New materials
In the second phase of the study, the researchers tried to reuse the resulting powder to form a new pDCPD material. After dissolving the powder in the precursor solution used to make pDCPD, they were able to make new pDCPD thermosets from the recycled powder.
“That new material has nearly indistinguishable, and in some ways improved, mechanical properties compared to the original material,” Johnson says. “Showing that you can take the degradation products and remake the same thermoset again using the same process is exciting.”
The researchers believe that this general approach could be applied to other types of thermoset chemistry as well. In this study, they showed that using degradable monomers to form the individual strands of the polymers is much more effective than using degradable bonds to “cross-link” the strands together, which has been tried before. They believe that this cleavable strand approach could be used to generate many other kinds of degradable materials.
“This is an exciting advance in engineering thermoset plastics,” says Jeffrey Moore, a professor of chemistry at the University of Illinois, who was not involved in the study. “Chemists have spent most of their effort learning to synthesize better plastics, and far less chemistry research has been invested into the science of polymer deconstruction. Johnson's work helps to fill this important gap in fundamental knowledge while providing advances of technological significance.”
If the right kinds of degradable monomers can be found for other types of polymerization reactions, this approach could be used to make degradable versions of other thermoset materials such as acrylics, epoxies, silicones, or vulcanized rubber, Johnson says.
The researchers are now hoping to form a company to license and commercialize the technology.
Patrick Casey, a new product consultant at SP Insight and a mentor with MIT’s Deshpande Center for Technological Innovation, has been working with Johnson and Shieh to evaluate the technology, including performing some preliminary economic modeling and secondary market research.
“We have discussed this technology with some leading industry players, who tell us it promises to be good for stakeholders throughout the value chain,” Casey says. “Parts fabricators get a stream of low-cost recycled materials; equipment manufacturers, such as automotive companies, can meet their sustainability objectives; and recyclers get a new revenue stream from thermoset plastics. The consumers see a cost saving, and all of us get a cleaner environment.”
The research was funded by the National Science Foundation and the National Institutes of Health. | | 5:15p |
3 Questions: Ibrahim Cissé on using physics to decipher biology How do cells use physics to carry out biological processes? Biophysicist Ibrahim Cissé explores this fundamental question in his interdisciplinary laboratory, leveraging super-resolution microscopy to probe the properties of living matter. As a postdoc in 2013, he discovered that RNA polymerase II, a critical protein in gene expression, forms fleeting (“transient”) clusters with similar molecules in order to transcribe DNA into RNA. He joined the Department of Physics in 2014, and was recently granted tenure and a joint appointment in biology. He sat down to discuss how his physics training led him to rewrite the textbook on biology.
Q: How does your work revise conventional models describing how RNA polymerases carry out their cellular duties?
A: My interest in biology has always been curiosity-driven. As a physicist reading biology textbooks, I thought that transcription — the process by which DNA is made into RNA — was fully understood. It's so basic, and the textbooks write about it with such confidence. Come to find out, most of what we know about the cell nucleus, where gene expression starts, comes from people studying these processes outside the cell, inside a test tube. I started to wonder: Do we actually know how they work in a living cell?
The textbook models say that when a specific gene is being activated, RNA polymerase and dozens of other molecules are recruited to the DNA to begin transcription. If you don’t look closely enough, the polymerases appear to be uniformly distributed and acting randomly throughout the nucleus. However, my single-molecule and “super-resolution” microscopy methods allowed me to see something different when I looked inside live cells: polymerase clusters, which are very dynamic. In the mid-'90s, people had observed similar clusters in so-called "fixed" cells that were chemically frozen. But these findings were dismissed as possible artifacts of the fixation procedure. However, when we saw these same protein clusters in living cells that were not treated with harsh chemicals, it suggested that the textbook explanation may be incomplete.
Q: How has your background in physics given you a unique perspective on the mechanics of living cells?
A: When I arrived at the University of Illinois at Urbana-Champaign to begin my PhD in physics, I hadn’t enrolled in a biology class since high school. I was really taken with the interdisciplinary work of one physics professor, Taekjip Ha, who became my PhD mentor. He had developed single-molecule fluorescence resonance energy transfer techniques, to study with unprecedented sensitivity when two biomolecules are close to each other and monitor the distance between them in real time.
Taekjip graciously accepted me into his lab despite my limited biology background, and I never looked back. His work mirrored my interest in condensed matter physics, but the material we were looking at wasn’t from the inanimate world, it was living matter.
Between 2006 and 2008, as I was working on my PhD, super-resolution microscopy really took off from the single-molecule microscopes I used in grad school. It was a natural progression, in my mind, to learn cell biology during my postdoc fellowship at École Normale Supérieure in Paris, and to try to visualize weak and transient interactions directly in living cells using single-molecule and super-resolution imaging. You could now pinpoint molecules with nanometer accuracy; you could “turn on” and “off” molecules to observe them individually and ensure there was no overlap between those that were side-by-side.
Thanks to these new techniques, we saw clusters of RNA polymerases in living cells for the first time during my postdoc, and I pushed the technique further to reveal the cluster dynamics. But the fact that you had to turn individual molecules on and off made it really hard to see these clusters assembling or disassembling. I didn’t want to trade temporal resolution for spatial resolution. So I came up with an approach called Time-Correlated Photoactivated Localization Microscopy (tcPALM). It allowed us to measure the lifetimes of these ephemeral polymerase clusters, and we found that they last just a few seconds.
Once I arrived at MIT, we wanted to test whether the clusters could be fleeting but still biologically relevant. We pushed a dual-color super-resolution technique where we correlated the clusters with gene activity. With RNA live-imaging experts at Howard Hughes Medical Institute’s Janelia Research Campus, Brian English and Tim Lionnet, and my postdoc, Wonki Cho, we found that roughly 80 to 100 polymerases form a cluster on a gene where transcription is about to start. Although the cluster is only there for a few seconds, that’s enough time to load a handful of polymerases and generate “bursts” of RNA transcription. In fact, there was a linear correlation between the clusters’ transient dynamics and the number of messenger RNAs made in each burst.
Q: What is it like to be a physicist working with biologists?
A: Even though I joined MIT as a physics hire, I was lucky enough to get lab space in Building 68 alongside amazing biologists. They were the perfect people to talk to about my crazy ideas. And it turned out that renowned researchers like Rick Young and Phil Sharp actually had similar theories. They had genomic evidence for clusters of gene regulators, which they call “super enhancers," that we all thought could relate to what my lab was seeing. That’s led to hours of exciting discussions between our labs, and has evolved into one of my most rewarding collaborations — and revealed that clusters associate as tiny transcriptional condensates with properties of liquid droplets.
Now, students and postdocs in my lab are wondering about the clusters’ functions and mechanisms of action, and whether protein clustering extends beyond transcription. For instance, clustering could explain some aspects of neurodegeneration. One perplexing idea that came out of this work is that perhaps it gets harder for our cells to clear protein condensates as we age, leading to Parkinson’s, Alzheimer’s, and other diseases. It's becoming clearer that physics may be just as important as biology for understanding how cells work. The physics of how condensates and droplets form in the inanimate world is increasingly helpful in determining how living cells can evolve to regulate the same process for specific biological functions like transcription. Nature uses physics in much more elaborate ways than we initially anticipated. |
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