Wind turbine blades could someday be recycled into sweet treats

Wind power is an increasingly popular form of renewable energy. However, when it’s time to replace the huge turbine blades that convert wind into electricity, disposal is a problem. Now, scientists report a new composite resin suitable for making these behemoths that could later be recycled into new turbine blades or a variety of other products, including countertops, car taillights, diapers and even gummy bears.

The researchers will present their results today at the fall meeting of the American Chemical Society (ACS).

“The beauty of our resin system is that at the end of its use cycle, we can dissolve it, and that releases it from whatever matrix it’s in so that it can be used over and over again in an infinite loop,” says John Dorgan, Ph.D., who is presenting the work at the meeting. “That’s the goal of the circular economy.”

Made of fiberglass, wind turbine blades can be half a football field in length. Although some companies have found ways to recycle fiberglass into lower-value materials, most discarded blades end up in landfills. And the disposal problem is likely to get worse. “Larger wind turbine blades are more efficient, so companies keep making bigger and bigger ones,” Dorgan says. “Often, wind farms will actually replace the turbine blades before the end of service life because the farms can generate more electricity with bigger blades.”

Dorgan and colleagues at Michigan State University made a new turbine material by combining glass fibers with a plant-derived polymer and a synthetic one. Panels made of this thermoplastic resin were strong and durable enough to be used in turbines or automobiles. The researchers dissolved the panels in fresh monomer and physically removed the glass fibers, allowing them to recast the material into new products of the same type. Importantly, the recast panels had the same physical properties as their predecessors.

In addition to new wind turbine blades, the novel resin could be used for a variety of other applications. By mixing the resin with different minerals, the team produced cultured stone that could be transformed into household objects, such as countertops and sinks. “We’ve recently made a bathroom sink with the cultured stone, so we know it works,” says Dorgan. The researchers could also crush the recovered material and mix it with other plastic resins for injection molding, which is used to make items like laptop covers and power tools.

The material could even be upcycled into higher-value products. Digesting the thermoplastic resin in an alkaline solution released poly(methyl methacrylate) (PMMA), a common acrylic material for windows, car taillights and many other items. Raising the temperature of the digestion converted PMMA into poly(methacrylic acid), a super-absorbent polymer that is used in diapers. The alkaline digestion also produced potassium lactate, which can be purified and made into candy and sports drinks. “We recovered food-grade potassium lactate and used it to make gummy bear candies, which I ate,” Dorgan says.

Now that the researchers have demonstrated that the resin has suitable physical properties for wind turbines, they hope to make some moderately sized blades for field testing. “The current limitation is that there’s not enough of the bioplastic that we’re using to satisfy this market, so there needs to be considerable production volume brought online if we’re going to actually start making wind turbines out of these materials,” Dorgan notes.

And is there a “yuck factor” involved in eating candy that was once part of a wind turbine? Dorgan doesn’t think so. “A carbon atom derived from a plant, like corn or grass, is no different from a carbon atom that came from a fossil fuel,” he says. “It’s all part of the global carbon cycle, and we’ve shown that we can go from biomass in the field to durable plastic materials and back to foodstuffs.”

The researchers acknowledge funding from the David L. and Denise M. Lamp Endowment.

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Materials provided by American Chemical Society. Note: Content may be edited for style and length.

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Detecting nanoplastics in the air

Large pieces of plastic can break down into nanosized particles that often find their way into the soil and water. Perhaps less well known is that they can also float in the air. It’s unclear how nanoplastics impact human health, but animal studies suggest they’re potentially harmful. As a step toward better understanding the prevalence of airborne nanoplastics, researchers have developed a sensor that detects these particles and determines the types, amounts and sizes of the plastics using colorful carbon dot films.

The researchers will present their results today at the fall meeting of the American Chemical Society (ACS).

“Nanoplastics are a major concern if they’re in the air that you breathe, getting into your lungs and potentially causing health problems,” says Raz Jelinek, Ph.D., the project’s principal investigator. “A simple, inexpensive detector like ours could have huge implications, and someday alert people to the presence of nanoplastics in the air, allowing them to take action.”

Millions of tons of plastic are produced and thrown away each year. Some plastic materials slowly erode while they’re being used or after being disposed of, polluting the surrounding environment with micro- and nanosized particles. Nanoplastics are so small — generally less than 1-µm wide — and light that they can even float in the air, where people can then unknowingly breathe them in. Animal studies suggest that ingesting and inhaling these nanoparticles may have damaging effects. Therefore, it could be helpful to know the levels of airborne nanoplastic pollution in the environment.

Previously, Jelinek’s research team at Ben-Gurion University of the Negev developed an electronic nose or “e-nose” for monitoring the presence of bacteria by adsorbing and sensing the unique combination of gas vapor molecules that they release. The researchers wanted to see if this same carbon-dot-based technology could be adapted to create a sensitive nanoplastic sensor for continuous environmental monitoring.

Carbon dots are formed when a starting material that contains lots of carbon, such as sugar or other organic matter, is heated at a moderate temperature for several hours, says Jelinek. This process can even be done using a conventional microwave. During heating, the carbon-containing material develops into colorful, and often fluorescent, nanometer-size particles called “carbon dots.” And by changing the starting material, the carbon dots can have different surface properties that can attract various molecules.

To create the bacterial e-nose, the team spread thin layers of different carbon dots onto tiny electrodes, each the size of a fingernail. They used interdigitated electrodes, which have two sides with interspersed comb-like structures. Between the two sides, an electric field develops, and the stored charge is called capacitance. “When something happens to the carbon dots — either they adsorb gas molecules or nanoplastic pieces — then there is a change of capacitance, which we can easily measure,” says Jelinek.

Then the researchers tested a proof-of-concept sensor for nanoplastics in the air, choosing carbon dots that would adsorb common types of plastic — polystyrene, polypropylene and poly(methyl methacrylate). In experiments, nanoscale plastic particles were aerosolized, making them float in the air. And when electrodes coated with carbon-dot films were exposed to the airborne nanoplastics, the team observed signals that were different for each type of material, says Jelinek. Because the number of nanoplastics in the air affects the intensity of the signal generated, Jelinek adds that currently, the sensor can report the amount of particles from a certain plastic type either above or below a predetermined concentration threshold. Additionally, when polystyrene particles in three sizes — 100-nm wide, 200-nm wide and 300-nm wide — were aerosolized, the sensor’s signal intensity was directly related to the particles’ size.

The team’s next step is to see if their system can distinguish the types of plastic in mixtures of nanoparticles. Just as the combination of carbon dot films in the bacterial e-nose distinguished between gases with differing polarities, Jelinek says it’s likely that they could tweak the nanoplastic sensor to differentiate between additional types and sizes of nanoplastics. The capability to detect different plastics based on their surface properties would make nanoplastic sensors useful for tracking these particles in schools, office buildings, homes and outdoors, he says.

The researchers acknowledge support from the Israel Innovation Authority.

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Materials provided by American Chemical Society. Note: Content may be edited for style and length.

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Watford General: New hospital funding plea after hole appears

An NHS trust says the hole in the road shows how “urgently we need investment for a new hospital”.

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Monkeypox antiviral drug put to the test in trial

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Dr Anthony Fauci to step down from government in December

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Brain stimulation boosts memory for a month

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Monkeypox vaccine rationed by giving mini doses

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How recovery progresses following inflammation triggered by injury or illness

Inflammation is the body’s first line of defense, occurring as droves of immune cells rush to the site of injury or acute illness to make repairs and stem further damage.

When successful, inflammation helps the body survive and heal after trauma. However, when the recovery following an inflammatory response goes awry, it signals that damage is still occurring — and the inflammation itself can cause further injury, leading to more-severe illness or even death.

But what differentiates a good inflammatory recovery from a bad one?

A new study, led by researchers at Harvard Medical School and Massachusetts General Hospital, published August 22 in Nature Communications, yields critical clues.

The scientists identified universal features of the inflammatory responses of patients who successfully recovered after surgery or acute illnesses such as COVID-19, heart attack, and sepsis. These features, they discovered, include precise paths that white blood cell and platelet counts follow as they return to normal.

If reaffirmed in further studies and eventually codified as a clinical guideline, the findings could help clinicians more quickly recognize when an individual patient’s recovery isn’t going well, allowing them to intervene earlier.

An ancient process

Inflammation is a generic response to almost all diseases — and, as such, people have been attempting to describe it for thousands of years. In ancient Rome, medical writer Aulus Celsus outlined the four cardinal symptoms of inflammation: redness, warmth, swelling, and pain — and later, physician and surgeon Galen added loss of function to the list. Today, scientists know that the symptoms of inflammation arise as the immune system mounts a response to injury or acute illness, sending out protective white blood cells, proteins, and chemical factors that cause physiological changes in the body.

Although clinicians today are good at identifying patients who are experiencing inflammation based on signs like high white blood cell count or fever, “there’s no guidance on assessing how the inflammation is going, and whether it’s subsiding in an appropriate manner,” said senior author John Higgins, professor of systems biology in the Blavatnik Institute at HMS. “As physicians, we are surprisingly ill-equipped to distinguish patients whose inflammatory response is going well from patients whose response is not.”

Yet knowing whether inflammation is effectively responding to the illness and progressing toward recovery is essential, since it can help doctors decide whether to stand back and let a patient’s body heal on its own or intervene.

Higgins and his team set out to understand inflammatory recovery to determine whether there are common features to a successful recovery.

Signs of success

Because inflammation occurs in patients who are already sick, it can be a complicated process to study. Thus, the researchers knew that to isolate common features, they would need to study inflammatory recovery in a highly controlled setting.

“We needed to find a situation where everybody starts off in the same generally stable state of health, and then they all get a similar inflammatory stimulus at a specific time,” explained first author Brody Foy, a research fellow in systems biology at HMS and Mass General.

They settled on nonemergency cardiovascular surgery — more specifically, coronary bypass, valve replacement, or some combination. These procedures are often performed in relatively healthy patients who have underlying heart issues but are otherwise stable and not experiencing problems that require immediate treatment. However, all cardiovascular surgery involves considerable tissue trauma and damage as surgeons access the heart for surgical repairs, prompting a significant inflammatory response.

To identify patterns of inflammatory recovery, the researchers worked with author Thoralf Sundt, the HMS Edward D. Churchill Professor of Surgery at Mass General, to examine medical record data from 4,693 patients at Mass General who underwent cardiovascular surgery. After analyzing dozens of measurements simultaneously, they found common features in the trajectories of patients who recovered well. They homed in on two variables that reliably identified trajectories for successful inflammatory recovery: white blood cell count, which, not surprisingly, becomes elevated during inflammation, and platelet count, which decreases as platelets are used up for clotting and healing.

Among the patients who recovered well after surgery, white blood cell count decreased at a precise rate, while platelet count increased at a different, but also precise, rate. These trajectories, the researchers said, can be used to monitor recovery in a personalized way.

“Physicians usually can’t track the changes in 20 different variables at once. We really wanted to be able to define good recoveries in terms of a small number of measurements that physicians and even patients are already familiar with,” said author Jonathan Carlson, a hematologist and researcher at HMS and MGH.

The team then expanded the study to look at other types of surgeries that cause significant inflammation, including limb amputations, hip replacements, cesarean sections, partial colon removals, and a complex pancreas surgery called a Whipple procedure. They also looked at inflammation-causing infections such as COVID-19 and Clostridium difficile colitis, as well as sepsis, a life-threatening inflammatory response precipitated by an infection. Finally, they analyzed patterns of recovery after events like heart attacks and strokes that cause oxygen deprivation to tissues and can prompt aberrant inflammation.

The researchers found that patients who recovered well followed the same characteristic trajectories for white blood cell count and platelet count returning to the normal range as their cardiovascular surgery counterparts — and did so no matter their condition or age. These patterns were also consistent regardless of how quickly patients recovered, or at what levels their white blood cell and platelet counts started.

Moreover, the scientists could mathematically define the precise trajectories that indicated a successful recovery: White blood cell count underwent exponential decay, whereas platelet count increased linearly after a short delay.

“What is exciting about this study is that it suggests there are common features of the recovery path for a surprisingly wide range of diseases, and if we know what a good recovery looks like, then we should be able to identify a bad one,” Higgins said.

Translating results

For Higgins, these inflammatory recovery trajectories evoke the so-called Anna Karenina principle popularized by Jared Diamond in his book Guns, Germs, and Steel: There is only one way in which things can go right, but many ways things can go wrong. Patients who recover well generally follow a predictable pattern of decrease and increase in white blood cell count and platelet count, whereas patients who don’t recover well may have counts that are either too high or too low — or simply don’t change at the expected rates.

He also draws a comparison to pediatric growth charts, in which each child starts at a different point but should follow the same trajectory of growth — and thus stay in a similar percentile — for weight and height. He hopes that his team can eventually create analogous charts for inflammatory recovery to personalize healthy trajectories for individual patients with a wide range of illnesses.

Higgins and his team are working to get their findings into the hands of clinicians to help them better understand how patients are recovering from inflammation.

To illustrate this idea, Higgins highlighted the case of a 78-year-old woman admitted to the hospital after a heart attack. On day four of her recovery, her white blood cell count dropped into the normal range, suggesting that she was recovering well. However, her white blood cell count was still higher than the healthy trajectory the researchers had defined — and it proceeded to increase over the next several days, as she took a turn for the worse. In other words, the overall pattern provided a more valuable diagnostic clue than the absolute blood count number, Higgins said, by signaling a day earlier that something had gone wrong with the patient’s recovery.

Higgins, however, cautions that it remains to be seen whether earlier intervention based on these harbingers of poor recovery might improve outcome. That is a subject for further research.

“Our approach really just identifies high-risk patients,” Higgins said. “We still have to study whether diagnosing something a little bit earlier is actually going to help, but at least we’d have a chance to intervene.”

Higgins and his team are also interested in studying the underlying biological mechanisms that cause white blood cell and platelet counts to return or fail to return to normal after injury or illness.

“These findings help generate some hypotheses for mechanisms,” Higgins said. For example, it guides researchers to look at when white blood cell counts peak during inflammation, and explore the processes in the body that would lead to exponential decay after the peak.

The researchers also want to shift their focus even earlier in the process to see if they can find common features of a good response when patients initially develop inflammation after injury or illness.

“Understanding quantitatively what a good recovery looks like from the very beginning will allow us to identify at-risk patients at even earlier time points, and to design interventions that improve outcomes,” said author Aaron Aguirre, HMS assistant professor of medicine at Mass General.

The research was supported by the One Brave Idea Initiative, Fast Grants at the Mercatus Center, George Mason University, the NIH (DP2DK098087), the Partnership for Clean Competition Research Collaborative, the MGH Hassenfeld award, and the Controlled Risk Insurance Company/Risk Management Foundation.

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Tony Nicklinson: Decade since death of right-to-die campaigner

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Covid in China: Hippo, fish and crabs get PCR tests

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