Why Mosquitoes Swarm Your Head: They’re Following Signals, Not Each Other

A female mosquito lands on a human.

After watching hundreds of mosquitoes buzzing around one of their colleagues and collecting 20 million data points, Georgia Tech and Massachusetts Institute of Technology researchers have created a mathematical model that predicts how and where female mosquitoes will fly to feast on humans. 

The new study is the first to visualize mosquito flight patterns and provides hard data for improving capture and control strategies. In addition to being a nuisance, mosquitoes transmit diseases such as malaria, yellow fever, and Zika, which cause more than 700,000 deaths every year.

“It’s like a crowded bar,” said David Hu, a professor in Georgia Tech’s George W. Woodruff School of Mechanical Engineering and the School of Biological Sciences, with an adjunct appointment in the School of Physics. “Customers aren’t there because they followed each other into the bar. They’re attracted by the same cues: drinks, music, and the atmosphere. The same is true of mosquitoes. Rather than following the leader, the insect follows the signals and happens to arrive at the same spot as the others. They’re good copies of each other.”

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Georgia Tech College of Engineering newsroom and The Conversation

 
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Jason Maderer (maderer@gatech.edu)

Hundreds of Hungry Mosquitoes, a Student Volunteer and a Mesh Suit

Trajectories of mosquitoes flying around a human target. David L. Hu, Georgia Tech

Trajectories of mosquitoes flying around a human target. David L. Hu, Georgia Tech

“Four minutes is too long.”

Man's arm with multiple pink raised welts

Some of Chris Zuo’s itchy results after his session with the mosquitoes. David L. Hu

That’s the note undergraduate Chris Zuo sent me along with photos of countless mosquito bites on his bare skin. This full-body massacre wasn’t the result of a camping trip gone awry. He’d spent that limited amount of time in a room with 100 hungry mosquitoes while wearing nothing but a mesh suit we thought would have protected him.

Thus began our three-year journey trying to understand the behavior of a deceivingly simple insect, the mosquito. It may sound like a professor’s sadistic plan, but, really, we did everything by the book. Our university’s institutional review board approved our procedures, making sure Chris was safe and not coerced in any way. The mosquitoes were disease-free and native to our home state of Georgia. And this session resulted in the first and last bites anyone received during the study.

Besides my role as torturer of students, I am an author and professor at Georgia Tech with over 20 years of experience studying the movement of animals.

Mosquitoes are the world’s most dangerous animal. The diseases they carry, from malaria to dengue, cause over 700,000 deaths per year. More people have died from mosquitoes than wars.

The world spends US$22 billion per year on billions of liters of insecticides, millions of pounds of larvicides, and millions of insecticide-treated bed nets – all to fight a tiny insect that weighs 10 times less than a grain of rice and has only 200,000 neurons.

Yet, people are losing the war on mosquitoes. These insects are evolving to thrive in cities and spreading disease more rapidly with climate change. How can such simple animals find us so easily?

Scientists know mosquitoes have terrible eyesight and depend on chemical cues to make up for it. Knowing what attracts a mosquito, though, isn’t enough to predict its behavior. You can know a heat-seeking missile is drawn to heat, but you still won’t know how a missile works.

Enter Chris and his self-sacrifice in the mosquito room. By tracking the flight of many mosquitoes around him, we hoped to determine how they made decisions in response to his presence. Understanding how mosquitoes respond to humans is a first step to controlling them.

How Mosquitoes Zero In On Their Meal

Out of 3,500 species of mosquitoes, over 100 species are classified as anthropophilic, meaning they prefer humans for lunch. Certain species of mosquitoes will find the one person among a whole herd of cattle in order to suck human blood.

This is quite a feat considering mosquitoes are weak flyers. They stop flying in a slight 2-3 mph breeze, the same air speed generated by a horse’s swinging tail. In calmer conditions, mosquitoes use their minuscule brains to follow human heat, moisture and odors that are carried downwind.

Carbon dioxide, the byproduct of respiration of all living animals, is particularly attractive. Mosquitoes notice carbon dioxide as well as you notice the stink of a full dumpster, detecting it up to 30 feet (9 meters) away from a host, where concentrations dip to a few parts per million, like a few cups of dye in an Olympic-size pool.

Black outline of a G and T in left panel, in right panel black squiggles showing flight paths of mosquitoes around the letters

Like superfans, mosquitoes are drawn to the dark outline of the Georgia Tech logo. David L. Hu, Georgia Tech

Mosquitoes’ vision isn’t much help as they hunt for their next blood meal. Their two compound eyes have several hundred individual lenses called ommatidia, each about the width of a human hair. They produce a somewhat blurry mosaic or pixelated image. Due to the laws of optics, mosquitoes can discern an adult-size human only at a few meters away. With their vision alone, they cannot distinguish a human from a small tree. They inspect every dark object.

Gathering the Flight-Path Data

The challenge with studying mosquito flight is that, like trash-talking teenagers, most of what they do is meaningless noise. Mosquitoes flying in an empty room are largely making random changes in flight speed and direction. We needed many flight trajectories to cut through the noise.

A man lying on the ground, and shown in two images on a laptop screen in the foreground

In a mesh suit, Chris Zuo awaits the mosquitoes while questioning his life choices. David L. Hu, Georgia Tech

One of our collaborators, University of California, Riverside, biologist Ring Cardé, told us that back in the 1980s, scientists conducted “bite studies” by stripping down to their underwear and slapping the mosquitoes that landed on their naked bodies. He said nudity prevented confounding variables, such as the color of a shirt’s fabric.

Chris and I looked at each other. Sit naked and wait to become mosquito prey? Instead, we designed the mesh suit that Chris originally wore into the mosquito room. But after seeing Chris’ bites, we needed a better way.

Instead, Chris washed long-sleeved clothes in unscented detergent and wore gloves and a face mask. Fully protected, Chris only had to stand and wait, while a cloud of mosquitoes swarmed him.

The U.S. Centers for Disease Control and Prevention introduced us to the Photonic Sentry, a camera that simultaneously tracks hundreds of flying insects in a room. It records 100 frames per second at 5 mm resolution for a space like a large studio apartment. In just a few hours, Chris and another graduate student, Soohwan Kim, generated more mosquito flight data than had previously been measured in human history.

100 mosquitoes flying around Chris Zuo for 10 minutes. Only a fraction of tracks are shown.

Jörn Dunkel, Chenyi Fei and Alex Cohen, our mathematician collaborators at MIT, told us that the geometry of Chris’ body was still too complicated to study the mosquitoes’ reactions. Mathematicians excel at simplifying complex problems to their essence. Chenyi suggested we go easy on Chris – why not replace him with a simple dummy: a black Styrofoam ball on a stick combined with a canister of carbon dioxide.

Over the next two years, Chris filmed the mosquitoes circling the Styrofoam dummies mercilessly. Then he vacuumed up the mosquitoes, trying not to get bitten.

Deciphering the Trajectories

A mosquito flies like you would an airplane: it turns left or right, accelerates or hits the brakes. We determined a mosquito’s flight behavior as a function of its speed, location and direction with respect to the target as the first step in creating our model of their behavior.

Our confidence in our behavioral rules increased as we read more trajectories, ultimately using 20 million mosquito positions and speeds. This idea of incorporating observations to support a mathematical hypothesis is a 200-year-old idea called Bayesian inference. We illustrated the mosquito behavior we’d observed in a web application.

4 panels showing trajectory of a mosquito in the presence of no target, visual target, CO2 target or both.

A mosquito’s flight changes with the kind of target presented. David L. Hu

Using our model, we showed how different targets cause mosquitoes to fly differently. Visual targets cause fly-bys, where mosquitoes fly past the target. Carbon dioxide causes double takes, where mosquitoes slow down near the target. The combination of a visual cue and carbon dioxide creates high-speed orbiting patterns.

Up until now, we had used only experiments with Styrofoam spheres to train our model. The true test was whether it could predict mosquito flights around a human. Chris returned to the chamber, this time wearing all white clothes and a black hat, turning himself into a bull’s-eye. Our model successfully predicted the distribution of mosquitoes around him. We identified zones of danger, where there was a high chance of a mosquito circling around him.

Predicting mosquito behavior is a first step toward outsmarting them. In mosquito-prone areas, people design houses with features to prevent mosquitoes from following human cues and entering. Similarly, mosquito traps suck in mosquitoes when they get too close but still allow between 50% and 90% of mosquitoes to escape. Many of these designs are based on trial and error. We hope that our study provides a more precise tool for designing methods for mosquito capture or deterrence.

When Chris’ mother attended his master’s degree defense, I asked her how she felt about her son using himself as bait for mosquitoes. She said she was very proud. So am I – and not just because I’m relieved Chris didn’t ask me to take his place in the mosquito chamber.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Read the original article.

 
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Author:

David Hu, Professor of Mechanical Engineering and Biology, Adjunct Professor of Physics, Georgia Institute of Technology

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Shelley Wunder-Smith
shelley.wunder-smith@research.gatech.edu

New Mobile App Turns Phones into At-Home Fetal Heart Monitors

Woman holds mobile phone to the belly of a pregnant woman

Pregnant women often worry about their babies’ health in between doctor’s visits, but a new mobile app can help put them at ease.

Studies show that one in five pregnant women experience perinatal anxiety, which is characterized by intense negative thoughts about their pregnancy.

Those women will soon be able to conduct an ultrasound and receive an accurate fetal heart rate from their mobile phones.

DopFone uses smartphone speakers to emit a low-pitched ultrasound that detects reflected signals of abdominal surface vibrations caused by fetal cardiac activity.

Alex Adams, an assistant professor in Georgia Tech’s School of Interactive Computing, said he came up with the idea for DopFone as he and his wife, Elise, suffered through two miscarriages. Elise couldn’t reliably measure the fetal heart rate with a commodity fetal Doppler heart rate monitor.

Those experiences exposed some gaps in the maternal healthcare process.

“There are a lot of great devices in hospitals and clinics, but there’s not much outside of those venues, even for high-risk pregnancies,” Adams said. “This is about filling the gaps between checkups.”

Poojita Garg joined Adams to work on DopFone while completing her master’s at Georgia Tech. She is now pursuing her Ph.D. at the University of Washington and is co-advised by Professor Shwetak Patel, who earned his Ph.D. from Georgia Tech in 2008.

Garg is working with the University of Washington School of Medicine to conduct DopFone’s first clinical trials.

Garg tested DopFone on 23 patients and achieved a plus-minus of 4.9 beats per minute, well within the clinical standard for reliable fetal heart rate measurement of plus-minus 8 beats per minute.

Adams said it measured within plus minus 2 beats per minute in most cases with an error rate of less than 1 percent.

About 1 million pregnancies in the U.S. end in miscarriage, according to a study from the Yale School of Medicine, and doctors know little about what causes them. Adams said that number is probably higher because many go unreported.

Adams and Garg said it’s unclear whether the innovation could reduce the number of miscarriages. However, consistent fetal heart rate data collection outside of the doctor’s office could provide a better idea of what happens leading up to a miscarriage.

“From there, we can take preventative action,” Adams said. “If nothing else, we can give a sense of comfort to those who may be worried.”

Expanding Access

While couples can purchase portable fetal heart rate monitors, Adams and Garg see DopFone as a low-cost alternative for those who live in areas with poor or inaccessible healthcare systems. 

“There’s a lot of potential for using it in what doctors like to call maternity deserts,” Garg said. “These are areas where a pregnant person, at the time of delivery, would have to travel long distances to reach a hospital. This technology will be useful globally in underdeveloped areas of the world.”

The researchers also said external add-ons and attachments aren’t included in their design goals. They prefer to use what’s built into the phone to keep the technology accessible.

“The real value is that 96% of America already has the technology in their pocket, along with 60% of the world’s population,” Adams said. “Half of the battle is having the right tools. The more we can get form what’s already in the phone, the more we can guarantee people have access to it.”

Not a Substitute

Some patients may feel a constant need to check the heart rate, and Garg acknowledged a tool like DopFone could increase that anxiety. She and Adams said a future version of the app will tell the parent if the heart rate is within a healthy range.

“There’s a lot of tradeoffs between a tool that could provide reassurance or create anxiety,” she said. “We want the use of this tool to be recommended by a doctor and for doctors and their care teams to be kept in the loop.”

She also said DopFone is not meant to replace anything that is done in a clinic.

“There are devices that make the whole process possible at home, but this is something that should be done in a clinic, so that’s the line we want to draw,” she said.

 

Researchers Develop Biodegradable, Plant‑Based Packaging From Natural Fibers

Plastic packaging fills up landfills – engineers are working on a bio-based alternative that could replace the kind shown here. tuk69tuk/iStock via Getty Images

Plastic packaging fills up landfills – engineers are working on a bio-based alternative that could replace the kind shown here. tuk69tuk/iStock via Getty Images

Jie Wu, an engineering graduate student, was studying a type of striking white beetle found in Southeast Asia and attempting to figure out how to mimic its brilliant color when an unexpected discovery upended the experiment.

Jie and I had been hoping to identify naturally occurring whitening pigments that could be used in paper and paints. The beetle’s white exoskeleton is made from a compound called chitin, which is a type of carbohydrate – one that is also commonly found in crab and lobster shells.

First, Jie extracted chitin nanofibers from crab shells obtained from food waste that are chemically the same as those found in the white beetles. But instead of creating a white material as intended, Jie produced dense, transparent films. The nanofibers more readily assembled in tightly packed films than in the porous structures Jie desired.

Two white beetles

An attempt to mimic the striking white color of Cyphochilus beetles led researchers to a unique discovery. Olimpia1lli/Wikimedia Commons, CC BY-NC-ND

On a whim, Jie measured the rate at which oxygen passed through the film. The result was astonishing: The barrier allowed less oxygen through than many existing packaging plastics.

That serendipitous finding in 2014 shifted my team of engineering students’ focus from color to packaging. We asked whether natural materials could rival the performance of common plastics. In the years since, our team has used this discovery to create biodegradable films that offer a more sustainable and effective alternative to plastic packaging.

Challenges of Plastic Packaging

Plastic packaging is commonly used to protect food, pharmaceuticals and personal care products. These plastics keep out moisture and oxygen from the air, so products stay fresh and safe.

Most packaging has several layers that work together to keep air out, but these layers hinder reuse and recycling efforts. As a result, most of this plastic barrier packaging is discarded to landfills as single-use materials.

Many researchers have sought alternatives that are renewable, biodegradable or recyclable, yet just as effective. At Georgia Tech, my team of students and post-docs has spent more than a decade tackling this problem. This journey began with that beetle.

Building a Better Barrier

Chitin is widely available in food waste and mushrooms, and it is used in products such as water filters and wound dressing. However, our early attempts to scale up the film technology based on the beetle-inspired experiment failed.

In 2018, the team made an important leap forward by using spray coating to create layers of chitin and cellulose nanomaterials. Cellulose, like chitin, is a carbohydrate polymer – a chain of repeating carbohydrate units – and it is obtained from plants. These abundant natural materials have opposite electric charges, which led to better barrier performance when we combined them than either material alone.

In this approach, the team sprayed down a layer of chitin, followed by a layer of cellulose. The opposite charges between the chitin and cellulose created a long-range attraction between them that binds the layers to create a dense interface.

Later, in collaboration with Meisha Shofner, a materials scientist, and Tequila Harris, a mechanical engineer, other students showed these coatings could be applied with scalable, roll-to-roll techniques. Roll-to-roll coating methods are preferred in industry because the coatings are applied continuously to large rolls of a substrate material, such as paper or other biodegradable plastics.

Roll-to-roll coating allows manufacturers to easily apply thin layers of coating to a base material, called a substrate.

Still, humidity posed a major challenge, limiting any real-world applications. Moisture swelled the film, allowing more oxygen to sneak through.

Then came another breakthrough. In 2024, another collaborator, Natalie Stingelin, and I discovered that two common food components resisted water vapor when combined: carboxymethylcellulose – which is found in ice cream, for example – and citric acid.

The result was a film that hindered the transmission of moisture. The citric acid reacted with the cellulose to form cross-links, which are chemical junctions that bind the cellulose molecules. Once bound, they reduced the film’s moisture uptake.

We integrated this new discovery with the prior work by combining the citric acid and cellulose, and then casting this mixture as a freestanding film by coating it onto a substrate, such as chitin.

However, that formulation did not have strong oxygen barrier properties because it did not contain the highly crystalline cellulose nanomaterials from our first film. Our team’s most recent achievement, from October 2025, combines the above innovations. As a result, we’ve created a bio-based film that is an excellent barrier to both oxygen and moisture.

A diagram showing a rectangle representing a biodegradable film, with an arrow deflecting off of it showing how it keeps out water vapor and oxygen. On the right is the film.

An oxygen and water vapor barrier film composed of blended cellulose and chitin. J. Carson Meredith

Scaling Up Production

When cast into thin films, these components self-organize into a dense structure that resists swelling with water vapor. Tests showed that even at 80% humidity the film matched or outperformed common packaging plastics.

The materials are renewable, biodegradable and compostable. Our team has filed several patent applications, and we are working with industry partners to develop specific packaging uses.

One challenge that applications face is a limited supply of the bio-based components compared to the high volume of conventional plastics. Like any new material, it would take time for manufacturers to develop supply chains as the films begin to be used.

For example, the market demand for purified chitin is small right now, as it is used in niche applications, such as wound dressings and water filtration. Due to its variety of uses, packaging could increase that market demand.

The next challenge is scaling up from experimental films to industrial production, which would likely take several years. The team is exploring roll-to-roll coating techniques and working with industry partners to integrate these materials into existing packaging lines.

Policy and consumer demand will also play a role. As governments push for bans on single-use plastics and companies set sustainability targets, bio-based films could become part of the solution.

The story of this breakthrough reminds me that science often advances through unexpected results. From a failed attempt to mimic a beetle’s color to a promising alternative to plastic, this research shows how curiosity can lead to solutions for some of our biggest challenges.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Read the original article.

 
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Author:

J. Carson Meredith, Professor of Chemical and Biomolecular Engineering, Georgia Institute of Technology

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Shelley Wunder-Smith
shelley.wunder-smith@research.gatech.edu

Turning Carbon Into Chemistry

Blue and orange spirals against a light blue background.

An illustration of a chain of amino acids forming a protein (Credit: Adobe Stock)

The building blocks of proteins, amino acids are essential for all living things. Twenty different amino acids build the thousands of proteins that carry out biological tasks. While some are made naturally in our bodies, others are absorbed through the food we eat. 

Amino acids also play a critical role commercially where they are manufactured and added to pharmaceuticals, dietary supplements, cosmetics, animal feeds, and industrial chemicals — an energy-intensive process leading to greenhouse gas emissions, resource consumption, and pollution.

A landmark new system developed at Georgia Tech could lead to an alternative: a commercially scalable, environmentally sustainable method for amino acid production that is carbon negative, using more carbon than it emits.

The breakthrough builds on a method that the team pioneered in 2024 and solves a key issue – increasing efficiency to an unprecedented 97% and reducing the bioprocess cost by over 40%. It’s the highest reported conversion of CO2 equivalents into amino acids using any synthetic biology system to date.

Published in the journal ACS Synthetic Biology, the study, “Cell-Free-Based Thermophilic Biocatalyst for the Synthesis of Amino Acids From One-Carbon Feedstocks,” was led by Bioengineering Ph.D. student Ray Westenberg and Professor Pamela Peralta-Yahya, who holds joint appointments in the School of Chemistry and Biochemistry and School of Chemical and Biomolecular Engineering. The team also included Shaafique Chowdhury (Ph.D. ChBE 25) and Kimberly Wennerholm (ChBE 23)alongside University of Washington collaborators Ryan Cardiff, then a Ph.D. student and now a Chain Reaction Innovations Fellow at Argonne National Laboratory, and Charles W. H. Matthaei Endowed Professor in Chemical Engineering James M. Carothers; in addition to Pacific Northwest National Laboratory Synthetic Biology Team Leader Alexander S. Beliaev.

"This work shifts the narrative from simply reducing carbon emissions to actually consuming them to create value,” says Peralta-Yahya. “We are taking low-cost carbon sources and building essential ingredients in a truly carbon-negative process that is efficient, effective, and scalable.”

Heat-loving organisms

The work builds on the cell-free technology the team used in their earlier study. “Previously, we discovered that a system that uses the machinery of cells, without using actual living cells, could be used to create amino acids from carbon dioxide,” Peralta-Yahya explains. “But to create a commercially viable system, we needed to increase the system’s efficiency and reduce the cost.”

The team discovered that bits of leftover cells were consuming starting materials, and — like a machine with unnecessary gears or parts — this limited the system’s efficiency. To optimize their “machine,” the team would need to remove the extra background machinery.

"Leftover cell parts were using key resources without helping produce the amino acids we were looking for,” says Peralta-Yahya. “We knew that heating the system could be one way to purify it because heat can denature these components.”

The challenge was in how to protect the essential system components from the high temperatures, she adds. “We wondered if introducing enzymes produced by a heat-loving bacterium, Moorella thermoacetica, might protect our system, while still allowing us to denature and remove that inefficient background machinery.”

The results were astounding: after introducing the enzymes, heating and “cleaning” the system, and letting it cool to room temperature, synthesis of the amino acids serine and glycine leaped to 97% yield — nearly three times that of the team’s previous system.

Scaling for sustainability

To make the system viable for large-scale use, the team also needed to reduce costs. “One of the most costly components in this system is the cofactor tetrahydrofolate (THF),” Peralta-Yahya shares. “Reducing the amount of THF needed to start the process was one way to make the system more inexpensive and ultimately more commercially viable.”

By linking reaction steps so waste from one step fueled the next, the team devised a method to recycle THF within the system that reduces the amount of THF needed by five-fold — lowering bioprocessing costs by 42%.

“This decrease in cost and increase in yield is a critical step forward in creating a method with real potential for use in industry and manufacturing,” Peralta-Yahya says. “This system could pave the way for moving this carbon-negative technology out of the lab and onto the continuous, industrial scale."

 

Funding: The Advanced Research Project Agency-Energy (ARPA-E); U.S. Department of Energy; and the U.S. Department of Energy, Office of Science, Biological and Environmental Research Program.

DOI: https://doi.org/10.1021/acssynbio.5c00352

 
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Selena Langner
College of Sciences
Georgia Institute of Technology

How Sewage Treatment Plants Could Handle Food Waste, Sparing Landfills and the Climate

 Treatment plants can capture over 95% of methane from food waste, compared to about 50% at landfills. Justin Sullivan/Getty Images

Treatment plants can capture over 95% of methane from food waste, compared to about 50% at landfills. Justin Sullivan/Getty Images

Every day, food scraps disappear into trash bags, are hauled away and forgotten. But that waste could be turned into something productive.

Across the United States, about 97 million metric tons of food waste are discarded each year, of which about 37 million metric tons end up buried in landfills.

Once underground, that organic material breaks down without oxygen and releases methane, a short-lived yet powerful greenhouse gas.

At the same time, the nutrients and energy stored in that food are permanently lost. But there is a better way. Research my colleagues and I conducted found that communities across the country already operate facilities designed to handle organic matter: wastewater treatment plants. Many larger, well-funded plants already have the infrastructure to process food waste, though not every plant is ready to do so today.

A large truck dumps trash in a massive pile.

Landfills are not great places to dump food. AP Photo/Damian Dovarganes
 

Landfills Are Not Designed for Food Waste

Food waste is fundamentally different from plastics, metals or glass. It’s organic and can decompose naturally. But when it’s placed in a landfill, its decomposition emits significant greenhouse gases.

Modern landfills are designed to capture the methane emitted, but even the most efficient systems still allow almost 58% to escape into the atmosphere. That food waste could be turned into energy or fertilizer, but instead it contributes to global warming.

By contrast, wastewater treatment plants process sewage using microbial communities that naturally break down organic matter. Many also capture methane produced during treatment and convert it into usable energy. Others recover nutrients such as phosphorus that can be turned into agricultural fertilizer. Over time, many plants have evolved from simple sanitation systems into resource-recovery facilities that generate power, reclaim materials and reduce environmental pollution.

These existing systems already process organic matter and could handle food waste, too.

What Happens When Food Waste Goes to a Treatment Plant

Our research examined what would happen if food waste were sent to wastewater treatment plants rather than landfills. We used real data from a full-scale plant that handles food waste along with sewage.

When we compared greenhouse gas emissions for the same food waste composition, we found that sending food to a landfill would emit 58.2 kilograms (129 pounds) of carbon dioxide equivalent per ton of food waste.

In comparison, we looked at a conventional wastewater treatment plant, the type of plant most common in the U.S. It achieved net-negative emissions of –0.03 kilograms (about 1 ounce) of carbon dioxide equivalent per ton of food waste treated. The plant captures over 95% of methane, compared to roughly 50% at landfills, saving the atmosphere from additional greenhouse gases.

But we found that the advanced treatment plant we studied reduced emissions further. In our analysis, the advanced facility achieved net-negative emissions of –0.19 kilograms (about 7 ounces) of carbon dioxide equivalent per ton of food waste treated.

Both conventional and advanced plants achieve these benefits in similar ways. Treating food waste at either type of plant prevents the 58.2 kilograms of carbon dioxide equivalent per ton that would otherwise escape from landfills. The plants capture biogas to generate renewable electricity, reducing the need to purchase power from the grid. They also recover enough nutrients to fertilize about 23 acres of farmland annually, reducing the need for synthetic fertilizers, which require energy-intensive mining and processing.

How the Logistics Work

A brown plastic bin labeled 'food scraps, yard waste.'

New York City has a large food waste collection program. Deb Cohn-Orbach/UCG/Universal Images Group via Getty Images

Getting the food waste to a wastewater plant doesn’t mean people put their food scraps in the drain or grind them up with an in-sink disposal. At the plant we studied, food waste was collected separately, much like recycling or yard waste, and transported by truck to treatment plants. Our emissions calculations don’t include truck emissions, because trucks are used in the other methods of food waste disposal as well.

Some cities already collect food waste by truck to go to composting facilities. San Francisco has done so since 1996. And New York City has the nation’s largest curbside organics collection, which composts food waste from 3.4 million households.

At the southeastern U.S. treatment plant we studied, trucks deliver food waste to a receiving station, where it’s processed to remove plastics, metals and other nonorganic materials before being blended into a slurry with the sewage solids. This mixture is then added to anaerobic digesters – sealed tanks where microorganisms break down organic material.

The methane that is produced is captured to generate electricity and heat. The remaining solid material is rich in nutrients and can be used to produce useful material, such as fertilizer.

We also found that adding food waste did not overload the plant or cause problems in its operation. The facility processed all of the county’s landfilled food waste – 107,320 tons annually, representing 38% of the county’s total food waste generation. Because of food waste’s lower density compared to wastewater, this added only 0.43% to the plant’s daily capacity. The plant consistently met effluent water regulatory standards. And at certain points, treatment efficiency improved as a result of the additional organic material, which supported the system’s biological processes.

The Economics May Surprise Cities

Local officials, as well as taxpayers, are often worried about the potential costs of a project like this. Wastewater treatment is already expensive, and communities’ existing plants may be nearing capacity.

But the economic results from our analysis suggest that handling food waste in wastewater treatment plants can be financially viable. Towns already pay landfills and incinerators what are called “tipping fees,” based on the weight of the waste delivered. Wastewater treatment plants can also charge these fees.

They can also sell, or use themselves, the methane produced and sell the fertilizer. That additional income means plants can make money even if they charge lower tipping fees than landfills.

Not every wastewater plant is ready to accept food waste immediately. The facility we analyzed is large and well equipped. Smaller operations would likely require new or upgraded equipment, which would involve planning and local investment.

The overall finding of our research is that the limitation isn’t technological or financial. The core systems already exist to transform food waste into a recoverable resource: Cities already handle organic material every day. And they operate complex biological treatment systems. Our evidence suggests these facilities could, in fact, handle food waste in ways that are environmentally beneficial and economically realistic.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Read the original article.

 
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Author:

Ahmed Ibrahim Yunus, Ph.D. candidate in Environmental Engineering, Georgia Institute of Technology 

Joe Frank Bozeman III, assistant professor of Civil and Environmental Engineering and Public Policy, Georgia Institute of Technology

Media Contact:

Shelley Wunder-Smith
shelley.wunder-smith@research.gatech.edu

Undergrads Earn National Recognition for Computing Research

Ryan Punamiya

Two Georgia Tech undergraduates are being recognized for their contributions to computing research. 

Ryan Punamiya (CS 2025) and Summer Abramson, a third-year computational media student, have been honored by the Computing Research Association (CRA) through its 2025–2026 Outstanding Undergraduate Researcher Award (URA) program. 

Punamiya was named a runner-up for the prestigious award, while Abramson received an honorable mention among hundreds of applicants from universities across North America. 

The CRA Outstanding Undergraduate Researcher Award program recognized eight awardees in 2026, along with eight runners-up, nine finalists, and over 200 honorable mentions from thousands of applications.  

Advancing Robotics Research 

Punamiya knew early on that he didn’t want to wait until starting his Ph.D. to do meaningful and impactful robotics research.  

Punamiya joined the Robot Learning and Reasoning Lab (RL2) directed by Assistant Professor Danfei Xu. While there, he contributed to the lab’s Meta-sponsored EgoMimic project, which trains robots to perform human tasks using recordings captured by Meta’s Project Aria research glasses. 

Punamiya is also the first author of a paper accepted to the 2025 Conference on Neural Information Processing Systems (NeurIPS), one of the world’s most prestigious artificial intelligence (AI) and machine learning conferences. 

“Ryan is the strongest undergraduate I've worked with,” Xu said, “including students who went on to Stanford, Berkeley, and leadership roles in major tech companies. He’s already operating at the level of a strong third-year Ph.D. student.” 

Punamiya said it was a challenge to balance his undergraduate coursework with his research in Xu’s lab. 

“You get out how much you put in,” he said. “I built my class schedule to give myself as much time to do research as possible. It also boils down to having the right research mentors. 

“(Xu) never saw me as an undergrad who’s just there to do grunt work. I was fortunate he saw my curiosity and cultivated me as a researcher. That’s really how you get more undergrads motivated to research — giving them the chance to be independent and explore ideas of their own.” 

Punamiya said his work in Xu’s lab has already helped him identify the research areas he wants to focus on as he considers his next steps. He will continue developing generalized training models for robots using human data so they can perform tasks instantly upon deployment. 

"The amount of data needed to train a robot is difficult to obtain even for top industry companies," he said. "We have embodied robot data available in billions of humans. With the advent of extended reality devices, we can get a scalable source of diverse interactions within environments."

Punamiya graduated in December and recently started an internship at Nvidia. He mentioned he has been accepted into several Ph.D. programs, including Georgia Tech, and he is choosing where to continue his research. 

“It’s the first time my research has been acknowledged externally by the robotics community,” he said. “It’s good to know the problem I’m working on is important, and that motivates me. Robotics is an exciting field. We are doing things now that two years ago were difficult to do.” 

Researching Inclusion in Computing Education 

Abramson conducts research in the People-Agents Research for Computing Education (PARCE) Laboratory under the mentorship of Pedro Guillermo Feijóo-García, a faculty member in the School of Computing Instruction. He and the Associate Dean for Undergraduate Education, Olufisayo Omojokun, nominated her for the award. 

Her work focuses on the intersection of computing education and human-AI interaction, where she’s been exploring ways to create more equitable technology. 

“This is such a huge milestone, and I couldn't be prouder of Summer,” Feijóo-García said. “Mentoring her for almost two years has been an amazing experience.” 

Abramson has received the Georgia Tech President’s Undergraduate Research Award (PURA) twice, which supports her research exploring how user-centered design curricula can help address attrition among women in computing.

“I’ve had the amazing opportunity to pursue research at the intersection of student identity, community belonging, and how we can build tools that support our diverse student population,” Abramson said. 

“Dr. Pedro and I have a goal to build community through a human-first approach, and I could not be more grateful for his support and guidance in my own journey. The CRA highlights the best of what the computing discipline has to offer, and I am incredibly honored for our work to be recognized.”

Abramson will spend the summer researching how user-centered design curricula can help promote confidence, belonging, and retention for women in computing.

Nominees for the PURA program were recognized for contributing to multiple research projects, authoring or coauthoring papers, presenting at conferences, developing widely used software artifacts, and supporting their communities as teaching assistants, tutors, and mentors. 

School of Computing Instruction Communications Officer Emily Smith contributed to this story.

Main Photo: Ryan Punamiya works with a robot during the 2025 International Conference on Robotics and Automation in Atlanta. Photo by Terence Rushin/College of Computing.