Is Carbon Dioxide the New Black? Yes, If These Fabric-Designing Scientists Have Their Way
Each year the world releases around 33 billion tons of carbon dioxide into the atmosphere. What if we could use this waste carbon dioxide to make shirts, dresses and hats? It sounds unbelievable. But two innovators are trying to tackle climate change in this truly unique way.
Chemist Tawfiq Nasr Allah set up Fairbrics with material scientist Benoît Illy in 2019. They're using waste carbon dioxide from industrial fumes as a raw material to create polyester, identical to the everyday polyester we use now. They want to take a new and very different approach to make the fashion industry more sustainable.
The Dark Side of Fast Fashion
The fashion industry is responsible for around 4% of global emissions. In a 2015 report, the MIT Materials Systems Laboratory predicted that the global impact of polyester fabric will grow from around 880 billion kg of CO2 in 2015 to 1.5 trillion kg of CO2 by 2030.
Professor Greg Peters, an expert in environmental science and sustainability, highlights the wide-ranging difficulties caused by the production of polyester. "Because it is made from petrochemical crude oil there is no real limit on how much polyester can be produced...You have to consider the ecological damage (oil spills, fracking etc.) caused by the oil and gas industry."
Many big-name brands have pledged to become carbon neutral by 2050. But nothing has really changed in the way polyester is produced.
Some companies are recycling plastic bottles into polyester. The plastic is melted into ultra-fine strands and then spun to create polyester. However, only a limited number of bottles are available. New materials must be added because of the amount of plastic degradation that takes place. Ultimately, recycling accounts for only a small percentage of the total amount of polyester produced.
Nasr Allah and Illy hope they can offer the solution the fashion industry is looking for. They are not just reducing the carbon emissions that are conventionally produced by making polyester. Their process actually goes much further. It's carbon negative and works by using up emissions from other industries.
"In a sense we imitate what nature does so well: plants capture CO2 and turn it into natural fibers using sunlight, we capture CO2 and turn it into synthetic fibers using electricity."
Experts in the field see a lot of promise. Dr Phil de Luna is an expert in carbon valorization -- the process of converting carbon dioxide into high-value chemicals. He leads a $57-million research program developing the technology to decarbonize Canada.
"I think the approach is great," he says. "Being able to take CO2 and then convert it into polymers or polyester is an excellent way to think about utilizing waste emissions and replacing fossil fuel-based materials. That is overall a net negative as compared to making polyester from fossil fuels."
From Harmful Waste to Useful Raw Material
It all started with Nasr Allah's academic research, primarily at the French Alternative Energies and Atomic Energy Commission (CEA). He spent almost 5 years investigating CO2 valorization. In essence, this involves breaking the bonds between the carbon and oxygen atoms in CO2 to create bonds with other elements.
Recycling carbon dioxide in this way requires extremely high temperatures and pressures. Catalysts are needed to break the strong bonds between the atoms. However, these are toxic, volatile and quickly lose their effectiveness over time. So, directly converting carbon dioxide into the raw material for making polyester fibers is very difficult.
Nasr Allah developed a process involving multiple simpler stages. His innovative approach involves converting carbon dioxide to intermediate chemicals. These chemicals can then be transformed into the raw material which is used in the production of polyester. After many experiments, Nasr Allah developed new processes and new catalysts that worked more effectively.
"We use a catalyst to transform CO2 into the chemicals that are used for polyester manufacturing," Illy says. "In a sense we imitate what nature does so well: plants capture CO2 and turn it into natural fibers using sunlight, we capture CO2 and turn it into synthetic fibers using electricity."
The Challenges Ahead
Nasr Allah met material scientist Illy through Entrepreneur First, a programme which pairs individuals looking to form technical start-ups. Together they set up Fairbrics and worked on converting Nasr Allah's lab findings into commercial applications and industrial success.
"The main challenge we faced was to scale up the process," Illy reveals. "[It had to be] consistent and safe to be carried out by a trained technician, not a specialist PhD as was the case in the beginning."
They recruited a team of scientists to help them develop a more effective and robust manufacturing process. Together, the team gained a more detailed theoretical understanding about what was happening at each stage of the chemical reactions. Eventually, they were able to fine tune the process and produce consistent batches of polyester.
They're making significant progress. They've produced their first samples and signed their first commercial contract to make polyester, which will then be both fabricated into clothes and sold by partner companies.
Currently, one of the largest challenges is financial. "We need to raise a fair amount to buy the equipment we need to produce at a large scale," Illy explains.
How to Power the Process?
At the moment, their main scientific focus is getting the process working reliably so they can begin commercialization. In order to remain sustainable and economically viable once they start producing polyester on a large scale, they need to consider the amount of energy they use for carbon valorization and the emissions they produce.
The more they optimize the way their catalyst works, the easier it will be to transform the CO2. The whole process can then become more cost effective and energy efficient.
De Luna explains: "My concern is...whether their process will be economical at scale. The problem is the energy cost to take carbon dioxide and transform it into these other products and that's where the science and innovation has to happen. [Whether they can scale up economically] depends on the performance of their catalyst."
They don't just need to think about the amount of energy they use to produce polyester; they also have to consider where this energy comes from.
"They need access to cheap renewable energy," De Luna says, "...so they're not using or emitting CO2 to do the conversion." If the energy they use to transform CO2 into polyester actually ends up producing more CO2, this will end up cancelling out their positive environmental impact.
Based in France, they're well located to address this issue. France has a clean electricity system, with only about 10% of their electric power coming from fossil fuels due to their reliance on nuclear energy and renewables.
Where Do They Get the Carbon Dioxide?
As they scale up, they also need to be able to access a source of CO2. They intend to obtain this from the steel industry, the cement industry, and hydrogen production.
The technology to purify and capture waste carbon dioxide from these industries is available on a large scale. However, there are only around 20 commercial operations in the world. The high cost of carbon capture means that development continues to be slow. There are a growing number of startups capturing carbon dioxide straight from the air, but this is even more costly.
One major problem is that storing captured carbon dioxide is expensive. "There are somewhat limited options for permanently storing captured CO2, so innovations like this are important,'' says T. Reed Miller, a researcher at the Yale University Center for Industrial Ecology.
Illy says: "The challenge is now to decrease the cost [of carbon capture]. By using CO2 as a raw material, we can try to increase the number of industries that capture CO2. Our goal is to turn CO2 from a waste into a valuable product."
Beyond Fashion
For Nasr Allah and Illy, fashion is just the beginning. There are many markets they can potentially break into. Next, they hope to use the polyester they've created in the packaging industry. Today, a lot of polyester is consumed to make bottles and jars. Illy believes that eventually they can produce many different chemicals from CO2. These chemicals could then be used to make paints, adhesives, and even plastics.
The Fairbrics scientists are providing a vital alternative to fossil fuels and showcasing the real potential of carbon dioxide to become a worthy resource instead of a harmful polluter.
Illy believes they can make a real difference through innovation: "We can have a significant impact in reducing climate change."
A new type of cancer therapy is shrinking deadly brain tumors with just one treatment
Few cancers are deadlier than glioblastomas—aggressive and lethal tumors that originate in the brain or spinal cord. Five years after diagnosis, less than five percent of glioblastoma patients are still alive—and more often, glioblastoma patients live just 14 months on average after receiving a diagnosis.
But an ongoing clinical trial at Mass General Cancer Center is giving new hope to glioblastoma patients and their families. The trial, called INCIPIENT, is meant to evaluate the effects of a special type of immune cell, called CAR-T cells, on patients with recurrent glioblastoma.
How CAR-T cell therapy works
CAR-T cell therapy is a type of cancer treatment called immunotherapy, where doctors modify a patient’s own immune system specifically to find and destroy cancer cells. In CAR-T cell therapy, doctors extract the patient’s T-cells, which are immune system cells that help fight off disease—particularly cancer. These T-cells are harvested from the patient and then genetically modified in a lab to produce proteins on their surface called chimeric antigen receptors (thus becoming CAR-T cells), which makes them able to bind to a specific protein on the patient’s cancer cells. Once modified, these CAR-T cells are grown in the lab for several weeks so that they can multiply into an army of millions. When enough cells have been grown, these super-charged T-cells are infused back into the patient where they can then seek out cancer cells, bind to them, and destroy them. CAR-T cell therapies have been approved by the US Food and Drug Administration (FDA) to treat certain types of lymphomas and leukemias, as well as multiple myeloma, but haven’t been approved to treat glioblastomas—yet.
CAR-T cell therapies don’t always work against solid tumors, such as glioblastomas. Because solid tumors contain different kinds of cancer cells, some cells can evade the immune system’s detection even after CAR-T cell therapy, according to a press release from Massachusetts General Hospital. For the INCIPIENT trial, researchers modified the CAR-T cells even further in hopes of making them more effective against solid tumors. These second-generation CAR-T cells (called CARv3-TEAM-E T cells) contain special antibodies that attack EFGR, a protein expressed in the majority of glioblastoma tumors. Unlike other CAR-T cell therapies, these particular CAR-T cells were designed to be directly injected into the patient’s brain.
The INCIPIENT trial results
The INCIPIENT trial involved three patients who were enrolled in the study between March and July 2023. All three patients—a 72-year-old man, a 74-year-old man, and a 57-year-old woman—were treated with chemo and radiation and enrolled in the trial with CAR-T cells after their glioblastoma tumors came back.
The results, which were published earlier this year in the New England Journal of Medicine (NEJM), were called “rapid” and “dramatic” by doctors involved in the trial. After just a single infusion of the CAR-T cells, each patient experienced a significant reduction in their tumor sizes. Just two days after receiving the infusion, the glioblastoma tumor of the 72-year-old man decreased by nearly twenty percent. Just two months later the tumor had shrunk by an astonishing 60 percent, and the change was maintained for more than six months. The most dramatic result was in the 57-year-old female patient, whose tumor shrank nearly completely after just one infusion of the CAR-T cells.
The results of the INCIPIENT trial were unexpected and astonishing—but unfortunately, they were also temporary. For all three patients, the tumors eventually began to grow back regardless of the CAR-T cell infusions. According to the press release from MGH, the medical team is now considering treating each patient with multiple infusions or prefacing each treatment with chemotherapy to prolong the response.
While there is still “more to do,” says co-author of the study neuro-oncologist Dr. Elizabeth Gerstner, the results are still promising. If nothing else, these second-generation CAR-T cell infusions may someday be able to give patients more time than traditional treatments would allow.
“These results are exciting but they are also just the beginning,” says Dr. Marcela Maus, a doctor and professor of medicine at Mass General who was involved in the clinical trial. “They tell us that we are on the right track in pursuing a therapy that has the potential to change the outlook for this intractable disease.”
Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.
But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.
Published in The Lancet Oncology, the study analyzed the scans of 80,000 Swedish women with a moderate hereditary risk of breast cancer who had undergone a mammogram between April 2021 and July 2022. Half of these scans were read by AI and then a radiologist to double-check the findings. The second group of scans was read by two researchers without the help of AI. (Currently, the standard of care across Europe is to have two radiologists analyze a scan before diagnosing a patient with breast cancer.)
The study showed that the AI group detected cancer in 6 out of every 1,000 scans, while the radiologists detected cancer in 5 per 1,000 scans. In other words, AI found 20 percent more cancers than the highly-trained radiologists.
Scientists have been using MRI images (like the ones pictured here) to train artificial intelligence to detect cancers earlier and with more accuracy. Here, MIT's AI system, MIRAI, looks for patterns in a patient's mammograms to detect breast cancer earlier than ever before. news.mit.edu
But even though the AI was better able to pinpoint cancer on an image, it doesn’t mean radiologists will soon be out of a job. Dr. Laura Heacock, a breast radiologist at NYU, said in an interview with CNN that radiologists do much more than simply screening mammograms, and that even well-trained technology can make errors. “These tools work best when paired with highly-trained radiologists who make the final call on your mammogram. Think of it as a tool like a stethoscope for a cardiologist.”
AI is still an emerging technology, but more and more doctors are using them to detect different cancers. For example, researchers at MIT have developed a program called MIRAI, which looks at patterns in patient mammograms across a series of scans and uses an algorithm to model a patient's risk of developing breast cancer over time. The program was "trained" with more than 200,000 breast imaging scans from Massachusetts General Hospital and has been tested on over 100,000 women in different hospitals across the world. According to MIT, MIRAI "has been shown to be more accurate in predicting the risk for developing breast cancer in the short term (over a 3-year period) compared to traditional tools." It has also been able to detect breast cancer up to five years before a patient receives a diagnosis.
The challenges for cancer-detecting AI tools now is not just accuracy. AI tools are also being challenged to perform consistently well across different ages, races, and breast density profiles, particularly given the increased risks that different women face. For example, Black women are 42 percent more likely than white women to die from breast cancer, despite having nearly the same rates of breast cancer as white women. Recently, an FDA-approved AI device for screening breast cancer has come under fire for wrongly detecting cancer in Black patients significantly more often than white patients.
As AI technology improves, radiologists will be able to accurately scan a more diverse set of patients at a larger volume than ever before, potentially saving more lives than ever.