Rice University's Menachem Elimelech and Yuanmiaoliang “Selina” Chen published a study in Nature Water on mimicking dialysis from the medical field to treat wastewater. Photo by Gustavo Raskosky/Rice University

By employing medical field technology dialysis, researchers at Rice University and the Guangdong University of Technology in China uncovered a new way to treat high-salinity organic wastewater.

In the medical field, dialysis uses a machine called a dialyzer to filter waste and excess fluid from the blood. In a study published in Nature Water, Rice’s team found that mimicking dialysis can separate salts from organic substances with minimal dilution of the wastewater, addressing some of the limitations of previous methods.

The researchers say this has the potential to lower costs, recover valuable resources across a range of industrial sectors and reduce environmental impacts.

“Traditional methods often demand a lot of energy and require repeated dilutions,” Yuanmiaoliang “Selina” Chen, a co-first author and postdoctoral associate in Elimelech’s lab at Rice, said in a news release. “Dialysis eliminates many of these pain points, reducing water consumption and operational overheads.”

Various industries generate high-salinity organic wastewater, including petrochemical, pharmaceutical and textile manufacturing. The wastewater’s high salt and organic content can present challenges for existing treatment processes. Biological and advanced oxidation treatments become less effective with higher salinity levels. Thermal methods are considered “energy intensive” and susceptible to corrosion.

Ultimately, the researchers found that dialysis effectively removed salt from water without requiring large amounts of fresh water. This process allows salts to move into the dialysate stream while keeping most organic compounds in the original solution. Because dialysis relies on diffusion instead of pressure, salts and organics cross the membrane at different speeds, making the separation method more efficient.

“Dialysis was astonishingly effective in separating the salts from the organics in our trials,” Menachem Elimelech, a corresponding author on the study and professor of civil and environmental engineering and chemical and biomolecular engineering at Rice, said in a news release. “It’s an exciting discovery with the potential to redefine how we handle some of our most intractable wastewater challenges.”

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Houston researchers propose model to scale e-waste recycling

critical research

The “missing link” in critical minerals may have been in our junk drawers all along, according to new research from the University of Houston.

Jian Shi, an associate professor in the UH Cullen College of Engineering, and his team have unveiled a new supply chain model that aims to make e-waste economically viable and could help make large-scale recycling possible.

Shi, along with professor Kailai Wang and graduate researcher Chuyue Wang, published the work in a recent issue of Nature. Their study outlines how gold, lithium and cobalt from discarded electronics can be kept circulating in the U.S. through the process of “urban mining.” It was supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) through the Vehicle Technologies Office.

The team’s research found that e-waste is the fastest-growing solid waste stream in the world. When waste from smartphones or tablets is left unmanaged, the devices can leak hazardous waste and pose significant fire risks due to aging batteries. Additionally, when they are shipped off to foreign landfills, the U.S. loses the potential to recycle or reuse the critical minerals left inside.

“A lot of people have iPads or old iPhones sitting in their drawers right now, and that’s a waste of a critical resource,” Shi said in a news release. “Urban mining allows us to extract the same high-value materials found in traditional mines without the environmental destruction. More importantly, it helps secure our domestic supply chain for the technologies of tomorrow.”

According to UH, recycling e-waste has not succeeded in the U.S. due to a fragmented recycling system, in which manufacturers, collectors and recyclers operate separately, driving up costs.

The UH team's research looks to change that.

In the study, the researchers modeled streamlined recycling efforts by mapping the interactions between manufacturers and independent recycling markets. Their dual-channel closed-loop supply chain (CLSC) model identified how these players can transition from competitors to partners, which can distribute profits more equitably and make recycling efforts more financially attractive.

According to UH, the research has particular significance due to the growing demand for electronic vehicles and their batteries.

“We can improve the performance of the entire recycling ecosystem and make the profit distribution more balanced,” Wang said in the release. “This ensures that the materials we need for EVs and advanced electronics stay right here in the U.S.”

“By making recycling work at scale, we aren’t just cleaning up waste,” Shi added. “We’re building a foundation that benefits both our national security and our economy.”

1PointFive signs latest deal, shares update on $1.3B carbon removal project

DAC deal

Houston-based 1PointFive, a subsidiary of Occidental Petroleum Corp., has secured another buyer of carbon dioxide removal credits for its $1.3 billion STRATOS project as it moves toward operation.

Bain & Company, a Boston-based consulting firm, has agreed to purchase 9,000 metric tons of carbon dioxide removal (CDR) credits from the direct air capture (DAC) facility over three years, according to a news release. DAC technology pulls CO2 from the air at any location, not just where carbon dioxide is emitted.

The deal is Bain's first purchase of DAC removal credits. The company has developed a program that helps clients purchase carbon credits from a range of carbon-removal technologies.

"We are proud to partner with 1PointFive and add them to our portfolio of engineered carbon removal technologies," Sam Israelit, Bain’s chief sustainability officer, said in the news release. "Their track record for developing DAC technology, coupled with their deep understanding of what it takes to deliver large-scale infrastructure projects, uniquely positions them to be a leader in this emerging segment.”

“We believe this agreement demonstrates continued momentum for the solution while supporting the development of vital domestic infrastructure,” Anthony Cottone, president and general manager of 1PointFive, added in the release.

Bain joins others like Microsoft, Amazon, AT&T, Airbus, the Houston Astros and the Houston Texans that have agreed to buy CDR credits from STRATOS.

The Texas-based STRATOS project is being developed through a joint venture with investment manager BlackRock and is designed to capture up to 500,000 metric tons of CO2 per year. The U.S Environmental Protection Agency approved Class VI permits for the project last year.

1PointFive says STRATOS is "progressing through start-up activities." The company shared in a LinkedIn post that Phase 1 of the project is expected to go online in Q2, with Phase 2 ramping up through the remainder of 2026.

Houston researcher develops efficient method to cool AI data centers

cool findings

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release