Posted in | News | Pollution | Water

Manchester Scientists Develop ‘Molecular Trap’ to Clean Pollution from Water

Scientists from The University of Manchester have developed a new material that could help reduce water pollution caused by harmful chemicals, such as from leftover medicines and hygiene products, that end up in rivers and lakes.

MOC structure. Image Credit: Jack Wright and Edward Pyzer-Knapp

Water pollution is one of the growing challenges of modern life. Many everyday items, from medications to cosmetics, leave behind residues that don’t fully break down after use. These pollutants often find their way into water systems, where they disrupt ecosystems and cause harm to plants, animals and humans.

The research, published in the journal Cell Reports Physical Science,  describes a new method using a molecular structure called a metal-organic cage (MOC). These tiny cages act like traps designed to catch and hold harmful molecules commonly found in our water supplies.

While MOCs have been studied before for gas and chemical capture, they are most commonly studied in chemical solvents where their performance differs significantly from that observed in water. Being able to demonstrate capture of established wastewater pollutants in water is thus a step towards the application of these cages for real-world applications.

Jack Wright, a Researcher at The University of Manchester, who completed the research as part of his PhD, said: “Being able to use MOCs in water is a really exciting development. We know how valuable MOCs are for capturing unwanted substances, but until now researchers have not been able to apply them to real-world water systems.

“Many harmful chemicals are difficult to remove from water, and with water pollution becoming a global crisis, this new MOC technology could provide a valuable tool to help clean up water systems and prevent pollutants from entering our ecosystem, particularly in rivers and lakes near urban or industrial areas where wastewater discharge is most common.”

The cages are made up of metal ions connected by organic molecules, forming a hollow pyramid-like structure. These hollow spaces at the centre of these structures are where the MOCs trap specific molecules, like pollutants or gases.

The new structure incorporates chemical groups called sulfonates to make it compatible with water, allowing it to function in real-world water systems, like rivers or wastewater.

It uses a natural effect called hydrophobic binding, where contaminant molecules preferentially “stick” to the inside of the cage rather than staying in the water. This allows the material to selectively capture and hold pollutants, even in challenging water environments.

Dr Imogen Riddell, PhD supervisor and researcher at The University of Manchester, said: “One of the real strengths of this method is its flexibility. The approach we have developed could be used to design other water-soluble MOCs with different sizes or properties. This opens the door to many future applications, including cleaning up different kinds of pollutants, development of green catalysts or even development of drug delivery strategies .”

Now, the researchers will look to further expand the water-soluble cages, to enable capture of more, different contaminants, and are working  towards the development of robust routes to recycling the cages to support their development as sustainable water purification aids.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.