skip to primary navigationskip to content

Using sunlight-activated photo-catalysts to disinfect water

Low cost water disinfectant solution
When Sep 09, 2013
from 04:00 PM to 05:00 PM
Where TCM Seminar Room, Cavendish Laboratory
Add event to calendar vCal
iCal

A round table discussion with Dr Vasant Kumar from the Materials Department on a new method to disinfect water at low cost with no power required.  This talk is part of the Winton Discussions series.

Abstract:

Sunlight can degrade pollutants in water and atmosphere with a suitable photo-catalyst. A number of current technologies are on offer, with the most common catalyst being titanium dioxide particles or coatings. These have the advantage of working with sunlight, with no need for an external power source, so the pollutant removal can take place off-grid and is cheap to operate. However, the currently-available catalysts only exploit the ultraviolet part of the spectrum, resulting in a slow degradation process which is slowed further by cloudy weather conditions.

 

Dr Kumar and co-workers from the Department of Materials Science & Metallurgy have developed a new sunlight-activated catalyst which is active in the visible range of the spectrum. The reaction speed is 1 – 2 orders of magnitude as fast as that of catalysts like titanium dioxide, since more of the sunlight's energy is used. It can also work in low light conditions including cloudy weather and indoors (using ambient sunlight and/or artificial light).

This new patented photo-catalyst potentially has a wide range of uses for water purification and atmospheric hazard / pollutant removal. Some examples include the market for textile dyes, where 0.7 million tons of dyes are produced every year worldwide, with 10% being released in the effluents; purification of drinking water without the need for a power source or replacement filters; systems for hazard destruction in crowded centres; and a low cost, zero power solution for the purification of air inside buildings.

Winton Annual Report 2019

RSS Feed Latest news

Manipulation of Quantum Entangled Triplet Pairs

Jan 07, 2021

Researchers have uncovered a new technique to create and manipulate pairs of particle-like excitations in organic semiconductors that carry non-classical spin information across space, much like the entangled photon pairs in the famous Einstein-Podolsky-Roden “paradox”.

Machine learning algorithm helps in the search for new drugs

Mar 20, 2019

Researchers have designed a machine learning algorithm for drug discovery which has been shown to be twice as efficient as the industry standard.

View all news