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Houston researchers harness dialysis for new wastewater treatment process

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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A View From HETI

Lancium has partnered with AI leader NVIDIA. Photo courtesy Lancium

With an initial investment of $2 billion, AI chip manufacturer NVIDIA just acquired a 20 percent stake in The Woodlands-based Lancium, which develops large-scale campuses that combine AI data centers and onsite power supplies.

Lancium recently announced the investment but didn’t disclose the dollar amount. The Information news website reported NVIDIA’s investment totaled $2 billion, with the possibility of an additional $1 billion if Lancium achieves certain milestones.

Dealroom.co calls NVIDIA’s investment a “form of supply-chain insurance.”

NVIDIA “is gaining exposure to the scarce physical assets that determine whether its chips can be deployed,” Dealroom.co says. “The move makes Nvidia look less like a pure chip company and more like an allocator of infrastructure capacity.”

Investment precedes possible IPO in 2027

Thanks to NVIDIA’s cash infusion, Lancium and its portfolio of land and power connections carry an enterprise value of about $10 billion, according to The Information.

The investment should enable Lancium to expand as it explores a potential IPO next year, The Information reported.

Neither Lancium nor NVIDIA is responding to requests for comment about the deal.

Lancium’s marquee project is a 1,000-acre data center and power generation campus in West Texas for the $500 billion Stargate initiative. Stargate, a joint venture comprising MGX, OpenAI, Oracle and SoftBank, is building data centers equipped to handle AI-level workloads.

“Epicenter of energy and AI infrastructure”

Founded in 2017, Lancium has 4 gigawatts of leased capacity and a more than 15-gigawatt development pipeline. In 2024, Blackstone Energy Transition Partners invested about $500 million in Lancium, giving Blackstone a roughly 50 percent stake.

“This partnership with NVIDIA is a strong testament to Lancium’s position at the epicenter of energy and AI infrastructure … . We look forward to continuing to partner with these leading companies to help power the next generation of AI innovation,” Bilal Khan, senior managing director at Blackstone, said in a release.

Through the NVIDIA partnership, Lancium’s data center and power generation campuses will use the tech company’s “AI factory” platform, including software, computing, and networking capabilities. This will give NVIDIA customers and partners access to power capacity that supports heavy AI workloads.

“We have spent years assembling the power, the land, and the infrastructure expertise needed to deliver AI data center capacity at a scale the world has never seen,” Michael McNamara, co-founder and CEO of Lancium, said in the release.

“Partnering with NVIDIA — the definitive technology platform for AI computing — ensures that every campus in our portfolio will be deployed with the industry’s most advanced technology and that NVIDIA’s customers will have access to the capacity they need to compete and lead in the AI era.”

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