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Fluorine helps make PET plastic waste easier to recycle – Advanced Science News

Pre-activation of plastics with fluorine-containing molecules disrupts their stability, making them easier to break down and upcycle.

Using simple, one-pot protocol, researchers have combined the power of fluorine and hydrogen bonding to upcycle PET bottles into different types of polyester plastics, creating a closed-loop system for recycling plastic waste.

Polyester plastics constitute over 10% of total plastic production and find extensive application in packaging, fiber production, and single-use beverage bottles. With global plastic production doubling since the beginning of the century to almost 400 million metric tons per year in 2021, plastic waste has become an environmental scourge and one of the greatest challenges facing our planet.

“Basically everywhere we look now, we find plastic,” said Jenna Jambeck, a professor at the University of Georgia’s College of Engineering who researches plastic waste and who was not involved in the current study. “It’s all around us, and we know it’s in the air and in different food products. But we don’t really know yet what the impacts are on human health.” 

The inherent challenge in upcycling PET plastics

Plastics are so prevalent because they’re practical and cheap to produce. The (perhaps unfortunate) reality is it’s unlikely we’ll stop using them altogether, even with major policy changes. However, researchers led by Xuefeng Jiang at East China Normal University have proposed a way to reduce excessive production by upcycling the plastic items we already have.

“Depolymerization [the chemical breakdown of plastics into their components] for polyester is in great demand with an energy-efficient process and diverse high-value-added monomer recovery for environmentally friendly recycling,” wrote the team in their paper, recently published in Advanced Science.

Despite ongoing research aimed at finding sustainable solutions to upcycle plastic waste, breaking down plastic polymers into their monomer units and linking them back together conventionally requires high temperatures, pressures, or metal additives.

But Jiang and his colleagues reasoned that a simpler approach could be taken using polyfluorinated organic acids — a class of organic compounds that contain multiple fluorine atoms attached to a carbon backbone.

“Our study commenced with […] fluorinated additives, disrupting the intermolecular forces between PET chains,” wrote the team. “After an extensive screening, the results revealed a significant advantage of fluorinated acids over other[s].”

The key is the small atomic radius and chemical properties of the fluorine atoms, which interact strongly with the polyester chains, disrupting their stability and making them more susceptible to chemical degradation.

A promising start, but there is a catch

Using a variety of techniques to elucidate the mechanism, from scanning electron microscopy to X-ray analysis and computational simulations, the team determined that reversible bonds formed between the fluorine molecules and components in the PET polymer backbone. This leads to “pre-activation involving swelling and decrystallization” of the plastic, lowering the energetic barrier required to break down the long polymer chain into its constituent components.

The scientists showcased the effectiveness of their approach across various types of polyester plastics, including common items like disposable beverage bottles, fibers, sheets, and more complex blends.

They achieved impressive yields of over 90% in recovering diverse monomers, which could potentially be used to create new polymer chains. However, further investigation is needed to confirm the suitability of these monomers for producing new plastics. Moreover, the successful demonstration of this method on a kilogram scale is promising, achieving a remarkable 96% yield. Yet, whether this can be scaled up to industrial plastic recycling remains uncertain.

While these findings open doors to innovative plastic recycling methods, there are crucial aspects to address. Aside from scalability concerns, there’s a need for rigorous evaluation of the environmental impact, particularly regarding the use of perfluorinated acids.

These chemicals, known as “forever chemicals,” have raised alarms due to their potential health risks and persistence in nature. Their inclusion in the process could hinder its widespread adoption, highlighting the importance of thoroughly assessing the ecological consequences of any proposed solution to plastic waste.

Reference: Xuefeng Jiang, et al., From Polyester Plastics to Diverse Monomers via Low-Energy Upcycling, Advanced Science (2024). DOI: 10.1002/advs.202403002

Feature image credit: Emily Bernal on Unsplash

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Active Fire Data Key to Keeping Staff Safe and Energy Assets Running | Earthdata – Earthdata

Mark Carinello, product manager for Indji Watch, monitors hazards on the Indji Watch system from his company’s office in Perth, Australia. Credit: Indji Systems.

As large wildfires that prompt evacuations, damage homes, and impact local economies become more common, it’s hard not to feel a sense of relief when a wildfire ignites in a remote landscape far from the nearest community.

Yet not everyone can breathe easy when a fire is reported in an unpopulated area. Utility companies with transmission lines running through out-of-the-way places and renewable energy providers with wind turbines and large solar arrays in remote areas are just two examples of businesses whose assets may be at risk from natural hazards when people and communities are not.

“Having [wildfire] hotspot data available to any company in North America or anywhere in the world is hugely important,”‘ said Mark Carinello, product manager for Indji Systems. “Without it, we and our customers would have much less awareness of where fires are right now and how they might impact their work.”

The first word in the company’s name, “Indji,” is an Australian Aboriginal term for “close to” and it”s a good choice for the company, which offers a real-time hazard monitoring and alert service known as Indji Watch to utility and renewable energy companies in Australia, the United States, Europe, and other countries around the world.

“If you have staff up on a wind turbine 100 meters above the ground in the open countryside of west Texas, you don’t want to be out there when there’s lightning,” Carinello said. “Or, if you’re working in a canyon for a utility in California and there’s a wildfire 10 miles away, it might take you a while to get out of that area.”

Indji Watch’s customers also rely on the company’s product to ensure their infrastructure are in good condition.

“If a wildfire is approaching a major transmission line, that line could short out and essentially stop operating, so our customers care about the hazards that threaten their operations,” said Carniello. “Lightning can actually punch a hole in a wind turbine and if the damage is not addressed quickly, it can cause additional problems. So, our clients need to know where lightning has occurred or where a fire has gone through, because they need to inspect their equipment for damage.”

As product manager, Carinello’s job is to ensure that Indji Systems products provide customers with the most current information. Because wildfire is among the threats it looks out for, Carniello and his colleagues incorporate active fire data from NASA’s Fire Information for Resource Management System (FIRMS) into their hazard alert and monitoring products.  

Members of Australia’s New South Wales Rural Fire Service monitor a fire in a remote region of the state that is also home to utility company transition lines. Credit: Indji Systems.

“Fire can a be a tough natural hazard to detect and getting the best information is a continuous challenge. There are many sources of wildfire information, such as the traditional state or federal fire agencies, but they rely on someone calling 911 and reporting a fire. They’re not always reliable, especially if the fire is in a remote area,” he said. “Now, with these satellites flying overhead and telling you that there’s something hot here, which is most likely a fire, we have a fantastic source of information for people with assets in remote areas.”

FIRMS provides access to satellite imagery, active fire and hotspot data, and related products that allow users to identify the location, extent, and intensity of wildfire activity. Its near real-time (NRT) data are available within three hours of a satellite overpass and its ultra real-time (URT) data (for the United States only) are available within 60 seconds using direct broadcast. Together, these products make FIRMS a valuable commodity for first responders and resource managers keen to pinpoint the location of a potential wildfire or track the development of established fires, especially in remote or rugged areas.

“Our clients generally care about where the fires are now, so we grab the hotspot data from FIRMS as soon as they become available,” Carniello said. “If there’s a fire a long way from a client’s infrastructure, the company may not care. Usually, they only want to be alerted for wildfires within a certain distance, like within five miles. When a fire is detected or reported by a fire agency within that distance, they’ll receive a notification.”

FIRMS’ active fire data come from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) instruments, both of which can detect radiated energy from their respective orbits approximately 440 and 515 miles (705 and 830 kilometers) above Earth’s surface.

MODIS flies aboard NASA’s Terra and Aqua satellites, and its Fire and Thermal Anomalies product is the foundation of FIRMS active fire products. When MODIS detects a thermal anomaly, which could indicate a wildfire or any significant source of heat, a computer algorithm identifies the center of the one square-kilometer area in which the anomaly is detected. This location is plotted and available to fire crews and wildland managers within three hours of the observation, providing an approximate location of a potential wildfire or hotspot.

VIIRS flies aboard the joint NASA-NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) and the Joint Polar Satellite Systems’ NOAA-20 and -21 satellites. The VIIRS I-band (375 meter) Active Fire product is based on the MODIS Fire and Thermal Anomalies product, which means that the two products complement each other in regard to hotspot detection (i.e., both products have shown good agreement in hotspot detection tests). However, VIIRS provides better response for smaller fires and provides improved mapping of large fire perimeters. Further, the VIIRS 375 m product shows a better response in nighttime observations, when fire activity normally subsides.

In addition to the NRT MODIS and VIIRS data, FIRMS also offers:

  • An NRT Landsat Fire and Thermal Anomaly active fire product generated with data from the Operational Land Imager (OLI) instrument aboard Landsat 8 and the Operational Land Imager-2 (OLI-2) aboard Landsat 9. These data are available in approximately 30 minutes from satellite overpass and offer much higher 30-meter resolution compared to the products from MODIS and VIIRS. (Note: This product covers only the continental United States and most of Canada and Mexico at this time.)
  • URT active fire data from MODIS and VIIRS for the continental United States within 60 seconds of observation via direct broadcast.
  • A short-wave infrared false color composite imagery layer from the Harmonized Landsat and Sentinel-2 (HLS) project. This layer is created with data from the Landsat OLI and OLI-2 instruments and the Multi-Spectral Instrument (MSI) aboard the ESA (European Space Agency) Sentinel-2A and -2B satellites. This product aids active fire detection by providing imagery of active fire fronts at the relatively high spatial resolution of 30 meters along with improved delineation of burned areas.
  • Geostationary active fire data from the Advanced Baseline Imager (ABI) aboard NOAA’s GOES-16 and -18 satellites, the Spinning Enhanced Visible and Infra-Red Imager (SEVIRI) aboard the ESA Meteosat-9 and -11 satellites, and the Advanced Himawari Imager (AHI) aboard the JAXA (Japan Aerospace Exploration Agency) Himawari-8 satellite. These sensors provide data at 10- to 15-minute intervals, so they can detect more fire events and capture their growth and change. However, the spatial resolution of geostationary satellite data is coarser than MODIS data and therefore less sensitive to small fires.
This screen capture from Indji Watch shows a wildfire in northern California. The red flame icon identifies the reported location of the fire. The gray area identifies the fire perimeter and the red areas indicate areas of fire activity. This active fire information is derived from FIRMS hotspot data. Credit: Indji Systems.

Taken together, this suite of NRT and URT data make FIRMS a valuable tool for detecting ignitions, tracking the spread of ongoing fires, and assessing their impact.

In Australia, the need utility companies had for reliable fire location information came to the fore during Black Saturday in 2009, when bushfires in the Australian state of Victoria caused the deaths of 173 people and burned more than 450,000 hectares (more than 1.1 million acres).

“In the early 2000s, we had a catastrophic outbreak of wildfires here in Australia and during that event the fire agencies lost comms to a lot of their crews on the ground; they had no idea where the fires were,” said Carniello. “Then they thought, ‘Oh, let’s look at the satellite data and let’s see what it’s showing us.’ That was a key learning moment for us.”

But it wasn’t the only one. As Indji Watch developed its alert systems and began incorporating active fire data from FIRMS and other sources, its staff had to become familiar with every aspect of using wildfire data from satellites.

“In the early days, we had to educate ourselves on these satellites, on how to get the data from the different receiving stations after each overpass, how the data were processed, and how to use the files,” Carniello said. “Over time, NASA has become better and better at providing these data in easier to consume formats. So, now we just grab the raw data, but the nice thing about FIRMS is that the raw data [are] harmonized in a way that makes it easier for us to use and there are less variables we have to consider when building our own systems.”

This screen capture of the Indji Watch user interface shows the location of a transmission line (blue line on map) along with the location of satellite-detected fires nearby. Credit: Indji Systems.

For Diane Davies, operations manager for NASA’s Land, Atmosphere Near real-time Capability for EO (LANCE), Indji System’s reliance on FIRMS data is indicative of the value that FIRMS provides to users around the world.

“We see spikes in visitors viewing the FIRMS map interface when there are large fire events, but we are seeing increasing numbers of users routinely pull the active fire data via FIRMS web services,” Davies said. “Indji is a great example of this type of user—they routinely pull data from FIRMS into a customized GIS [geographic information system] and add value to it by combining it with other geospatial data.”

FIRMS is part of NASA’s LANCE, which provides more than 100 NRT products from instruments aboard Earth observation satellites. LANCE, in turn, is part of NASA’s Earth Observing System Data and Information System (EOSDIS), which is responsible for NASA’s Earth science data collection. FIRMS was developed by the University of Maryland in 2007 with funds from NASA and the United Nations Food and Agriculture Organization (UNFAO). NASA began offering FIRMS NRT data in 2007, and the UNFAO began offering the data in 2010 through its Global Fire Information Management System (GFIMS).

Resources

Active fire data for the last 24 hours, 48 hours, or week can be downloaded in shapefile, KML, WMS, or text file formats; data older than seven days can be obtained using the FIRMS Archive Download Tool.

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Let’s Confront Mnangagwa Head-on, Chamisa Aide Rallies Nation – ZimEye – Zimbabwe News

Let’s Confront Mnangagwa Head-on, Chamisa Aide Rallies Nation

30 April 2024

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By A Correspondent

In a stirring call for action, former MDC Alliance and CCC Youth Assembly spokesperson, Stephen Sarkozy Chuma, has urged Zimbabweans to confront head-on the authoritarian rule of President Emmerson Mnangagwa.

Speaking out against the entrenched dictatorship, Chuma’s words resonate as a rallying cry for change in a nation grappling with political oppression and economic turmoil.

Chuma released a brief statement on Monday.

Chuma’s impassioned plea for decisive action echoes the sentiments of many disillusioned Zimbabweans who refuse to remain passive in the face of oppression.

He challenges his fellow citizens to envision a different path, one where complacency is replaced by courage and determination.

His words, delivered with conviction, serve as a wake-up call to a nation on the brink of despair.

“Imagine dai during the liberation struggle if people were just folding hands waiting for Robert Mugabe & Joshua Nkomo to liberate them?” Chuma exclaimed.

“Surely Ian Smith’s ‘not in a 1000 years’ would have been fulfilled. We can’t relegate our struggle to Nelson Chamisa alone!”

With each word, Chuma underscores the urgency of the situation, drawing parallels between the struggles of the past and the challenges of the present.

His message is clear: the fight for freedom and justice requires the active participation of all Zimbabweans, not just a select few.

“Why are you quiet Zimbabwe when you don’t have electricity?” Chuma implores.

“Potholes, ZiG, corruption, inflation, vote rigging, abductions etc will never end if you remain silent fellow citizens.

Mnangagwa can’t have his cake and eat it too! We just can’t allow this rot to continue!”

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New algorithm cuts through ‘noisy’ data to better predict tipping points – UBNow: News and views for UB faculty and staff – University at Buffalo

Whether you’re trying to predict a climate catastrophe or mental health crisis, mathematics tells us to look for fluctuations. 

Changes in data, from wildlife population to anxiety levels, can be an early warning signal that a system is reaching a critical threshold, known as a tipping point, in which those changes may accelerate or even become irreversible. 

But which data points matter most? And which are simply just noise?

A new algorithm developed by UB researchers can identify the most predictive data points that a tipping point is near. Detailed in Nature Communications, this theoretical framework uses the power of stochastic differential equations to observe the fluctuation of data points, or nodes, and then determine which should be used to calculate an early warning signal. 

Simulations confirmed this method was more accurate at predicting theoretical tipping points than randomly selecting nodes.

“Every node is somewhat noisy — in other words, it changes over time — but some may change earlier and more drastically than others when a tipping point is near. Selecting the right set of nodes may improve the quality of the early warning signal, as well as help us avoid wasting resources observing uninformative nodes,” says the study’s lead author, Naoki Masuda, professor and director of graduate studies in the Department of Mathematics, College of Arts and Sciences.

The study was co-authored by Neil MacLaren, a postdoctoral research associate in the Department of Mathematics, and Kazuyuki Aihara, executive director of the International Research Center for Neurointelligence at the University of Tokyo. 

The work was supported by the National Science Foundation and the Japan Science and Technology Agency.

The algorithm is unique in that it fully incorporates network science into the process. While early warning signals have been applied to ecology and psychology for the past two decades, little research has focused on how those signals are connected within a network, Masuda says. 

Consider depression. Recent research has considered it and other mental disorders as a network of symptoms influencing each other by creating feedback loops. A loss of appetite could mean the onset of five other symptoms in the near future, depending on how close those symptoms are on the network.

“As a network scientist, I felt network science could offer a unique or perhaps even improved approach to early warning signals,” Masuda says. 

By thoroughly considering systems as networks, researchers found that simply selecting the nodes with highest fluctuations was not the best strategy. That’s because some selected nodes may be too closely related to other selected nodes.

“Even if we combine two nodes with nice early warning signals, we don’t necessarily get a more accurate signal. Sometimes combining a node with a good signal and another node with a mid-quality signal actually gives us a better signal,” Masuda says. 

While team members validated the algorithm with numerical simulations, they say it can readily be applied to actual data because it does not require information about the network structure itself; it only requires two different states of the networked system to determine an optimal set of nodes. 

“The next steps will be to collaborate with domain experts such as ecologists, climate scientists and medical doctors to further develop and test the algorithm with their empirical data and get insights into their problems,” Masuda says.

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