Biosensor to give machines human-like smelling ability

Scientists, led by an Indian-origin researcher, have developed a new biosensor which could allow machines to smell more accurately than humans.
Every odour has its own specific pattern which our noses are able to identify.
Using a combination of proteins coupled to transistors, for the first time machines are able to differentiate smells that are mirror images of each other, so called chiral molecules, something that has not been possible before.
The human nose can distinguish between some of these molecules and the different forms of the same molecule of carvone, for example, can smell either like spearmint or caraway. Previous machines would not have been able to distinguish between the two.

The development will allow the creation of a new generation of biosensors with an acute ability to sniff out problems.
These could have many industrial uses such as telling when food has gone off, and they could even be accurate enough to smell how much pollution is in the atmosphere.

Academics from The University of Manchester and the University of Bari in Italy, have created a biosensor that utilises an odourant binding protein.
Odourant binding proteins are found in the mucus of the nose, which work olfactory receptors helping us to create our perception of smell.
The team has found a method of manufacturing these proteins in quantities that would allow them to be used in biosensors.

Researchers developed methods to change the way the proteins react so that they can recognise different types of chemicals.
Using a type of transistor incorporating these proteins the scientists were able to measure the unique changes in current as the proteins reacted to odours, and record them.
This is in effect the machine smelling the odour and then sending the message, which can then be decoded.
The system is incredibly sensitive with a detection limit that approaches that of the human nose.
"It has been challenging to get machines to be able to differentiate between smells that are mirror images of each other, which was a real barrier to creating machines which are able to smell as well or better than humans," said Professor Krishna Persaud, lead author of the research paper.

"Using the expertise of our colleagues at the University of Bari to couple these proteins to field effect transistors has allowed us to produce a new chemical sensor platform.
"Now we have done this it will allow much better sensors to be developed and these could have many uses in industry. We shall be able to create biosensors which are accurate enough to be able to tell when food has gone off, or even smell how much pollution is in the atmosphere," said Persaud.
The finding was published in the journal Nature Communications.