Electronic noses, which detect chemicals in the air, have shown promise as a tool for diagnosing disease. A recent study in Analytical Chemistry offers a first step toward developing an electronic nose to detect tuberculosis (TB) infection in a urine sample, which could be especially useful in poor countries.
Many diseases affect the chemical components of patients’ breath and bodily fluids in characteristic ways, and scientists have been trying to exploit these chemical fingerprints as a disease-detection method. Electronic noses, which pair chemical sensors with a pattern-recognition system, are being developed to spot bacterial infections and lung cancer.
Treating TB in developing countries is hampered by diagnostic tests that are invasive and time-consuming and require technical skill and laboratory equipment. An inexpensive, fast, and simple test would be a boon. Several research groups have begun investigating electronic-nose technologies for TB diagnosis, primarily with samples of sputum, the mucus that lines the lower respiratory tract. However, a study led by Virander Chauhan and Ranjan Nanda from the International Centre for Genetic Engineering and Biotechnology in New Delhi, India, has taken a new approach by studying urine, which can be collected without stressing a patient, is not infectious, and can be stored more easily and for longer periods of time.
The researchers collected urine samples from more than 100 newly diagnosed TB patients in New Delhi. They analyzed molecules from the urine that evaporate quickly in the air, called volatile organic compounds (VOCs), using gas chromatography and mass spectrometry, which give a detailed readout of chemical components and their concentrations. Using this method to hunt for patterns, they identified several VOCs that occurred in significantly different concentrations in infected individuals. Using this signature, they were able to predict TB infection in another group of patients with nearly 99 percent accuracy.
This method could also be used to distinguish TB from other lung diseases. And, Nanda says, although the current study focused on diagnosing the disease, it may also be possible to use an electronic nose to monitor the extent of the infection as patients undergo treatment.
Hossam Haick, a chemical engineer at the Technion-Israel Institute of Technology who is researching sensors for biomarkers, says that these initial results show promise, but more studies on larger numbers of patients will be needed to validate the results. He adds that although the research demonstrates the feasibility of a urine test for TB, a simple, quick test is still a ways off, because the method used to identify the VOC signatures is expensive and time-consuming. The next step is to develop a small, inexpensive, and easy-to-use device that can detect the TB-specific VOCs accurately. Nanda says that this “is going to be a hugely complex job” and that his team is currently investigating appropriate sensor technologies.
This new data poisoning tool lets artists fight back against generative AI
The tool, called Nightshade, messes up training data in ways that could cause serious damage to image-generating AI models.
The Biggest Questions: What is death?
New neuroscience is challenging our understanding of the dying process—bringing opportunities for the living.
Rogue superintelligence and merging with machines: Inside the mind of OpenAI’s chief scientist
An exclusive conversation with Ilya Sutskever on his fears for the future of AI and why they’ve made him change the focus of his life’s work.
How to fix the internet
If we want online discourse to improve, we need to move beyond the big platforms.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.