One day, a machine will smell whether you're sick


Tech advances allowing researchers to come up with odour sensor to diagnose disease

Blindfolded, would you know the smell of your mum, a lover or a co-worker? Not the smells of their colognes or perfumes, not of the laundry detergents they use - the smells of them?

Each of us has a unique "odourprint" made up of thousands of organic compounds. These molecules offer a whiff of who we are, revealing age, genetics, lifestyle, hometown - even metabolic processes that underlie our health.

Ancient Greek and Chinese medical practitioners used a patient's scent to make diagnoses. Modern medical research, too, confirms the smell of someone's skin, breath and bodily fluids can be suggestive of illness. The breath of diabetics sometimes smells of rotten apples, experts report; the skin of typhoid patients, like baking bread.

But not every physician's nose is a precision instrument, and dogs, while adept at sniffing out cancer, get distracted. So researchers have been trying for decades to figure out how to build an inexpensive odour sensor for quick, reliable and non-invasive diagnoses.

The field finally seems on the cusp of succeeding.

"You're seeing a convergence of technology now, so we can actually run large-scale clinical studies to get the data to prove odour analysis has real utility," said Mr Billy Boyle, co-founder and president of operations at Owlstone, a manufacturer of chemical sensors in Cambridge, England.


You can program what you want to sniff out just by changing the software. We can use the device for our own trials on colorectal cancer, but it can also be used by our partners to look for other things, like irritable bowel disease.

MR BILLY BOYLE, co-founder and president of operations at Owlstone, on the use of odour analysis in medicine.

Mr Boyle, an electronics engineer, formed the company with two friends in 2004 to develop sensors to detect chemical weapons and explosives for customers, including the United States government. But when Mr Boyle's girlfriend and eventual wife, Ms Kate Gross, was diagnosed with colon cancer in 2012, his focus shifted to medical sensors, with an emphasis on cancer detection.

Ms Gross died at the end of 2014. That she might still be alive if her cancer had been detected earlier, Mr Boyle said, continues to be a "big motivator".

Owlstone has raised US$23.5 million (S$32.8 million) to put its odour analysis technology into the hands of clinicians. Moreover, Britain's National Health Service is funding a 3,000-subject clinical trial to test Owlstone's sensor to diagnose lung cancer.

The sensor is a silicon chip stacked with various metal layers and tiny gold electrodes. While it looks like your mobile phone's SIM card, it works like a chemical filter.

The molecules in an odour sample are first ionised - given a charge - and then an electric current is used to move only chemicals of diagnostic interest through the channels etched in the chip, where they can be detected.

"You can program what you want to sniff out just by changing the software," Mr Boyle said. "We can use the device for our own trials on colorectal cancer, but it can also be used by our partners to look for other things, like irritable bowel disease."

The company also is conducting a 1,400-subject trial, in collaboration with the University of Warwick, to detect colon cancer from urine samples, and is exploring whether its chips can help determine the best drugs for asthma patients by sorting through molecules in their breath.

A similar diagnostic technology is being developed by Israeli chemical engineer Hossam Haick, who was also touched by cancer.

"My college roommate had leukaemia, and it made me want to see whether a sensor could be used for treatment," said Professor Haick of the Technion-Israel Institute of Technology in Haifa. "But I realised early diagnosis could be as important as treatment itself."

His smelling machine uses an array of sensors composed of gold nanoparticles or carbon nanotubes. They are coated with ligands, molecular receptors that have a high affinity for certain biomarkers of disease found in exhaled breath.

Once these biomarkers latch onto the ligands, the nanoparticles and nanotubes swell or shrink, changing how long it takes for an electrical charge to pass between them. This gain or loss in conductivity is translated into a diagnosis.

"We send all the signals to a computer, and it will translate the odour into a signature that connects it to the disease we exposed to it," Prof Haick said.

With artificial intelligence, he said, the machine becomes better at diagnosing with each exposure. Rather than detecting specific molecules that suggest disease, however, Prof Haick's machine sniffs out the overall chemical stew that makes up an odour.

It's analogous to smelling an orange: Your brain doesn't distinguish among the chemicals that make up that odour. Instead, you smell the totality, and your brain recognises all of it as an orange.

Prof Haick and his colleagues published a paper in ACS Nano in December showing his artificially intelligent nanoarray could distinguish among 17 diseases with up to 86 per cent accuracy. There were 1,404 participants in the trial, but the sample sizes for each disease were quite small. And the machine was better at distinguishing among some diseases than others.

In the US, a team of researchers from the Monell Chemical Senses Centre and the University of Pennsylvania received a US$815,000 grant in February from the Kleburg Foundation to advance work on a prototype odour sensor that detects ovarian cancer in samples of blood plasma.

The team chose plasma because it is somewhat less likely than breath or urine to be corrupted by confounding factors like diet or environmental chemicals, including cleaning products or pollution.

Instead of ligands, their sensors rely on snippets of single-strand DNA to do the work of latching onto odour particles.

"We are trying to make the device work the way we understand mammalian olfaction works," said Mr Charlie Johnson, director of the Nano/Bio Interface Centre at the University of Pennsylvania, who is leading the fabrication effort.

"DNA gives unique characteristics for this process."

In addition to these groups, teams in Austria, Switzerland and Japan also are developing odour sensors to diagnose disease.

"I think the fact you're seeing so much activity both in commercial and academic settings shows that we're getting a lot closer," said biomedical engineer Cristina Davis, a professor at the University of California at Davis, who also is helping to develop an odour sensor to diagnose disease.

"My estimate is it's a three- to five-year time frame" before such tools are available to clinicians, she added.

The researchers may be competing intensely, but all see possibilities for saving lives.

"There's a lot of good work going on out there," Mr Johnson said. "It will be interesting to see who comes out on top."


A version of this article appeared in the print edition of The Straits Times on May 05, 2017, with the headline 'One day, a machine will smell whether you're sick'. Print Edition | Subscribe