Hybrid Sensor Could Help Diagnose Cancer
Hybrid Sensor Could Help Diagnose Cancer
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A team of researchers from HSE University, Skoltech, MPGU, and MISIS have developed a nanophotonic-microfluidic sensor whose potential applications include cancer detection, monitoring and treatment response assessment. Today, the device can identify gases and liquids dissolved at low concentrations with a high degree of accuracy. The paper is published in Optics Letters.
According to the World Health Organisation, in 2020 the global cancer burden was estimated at 19.3 million new cases and 10 million deaths. WHO experts believe that an estimated 30% of new cases could be prevented, and about the same proportion could be cured, with early detection.
Today, a ‘lab-on-a-chip’ is a miniature sensor device capable of performing complex biochemical analysis which are considered one of the most promising approaches to early cancer detection. Russian researchers have developed a new hybrid nanophotonic-microfluidic sensor for highly sensitive analysis of liquids and gases at very low concentration in solutions.
The current device consists of nanophotonic optical sensors on a chip in combination with microfluidic channels above the sensor surface. Fluids or gases pumped through the channels affect the propagation of optical radiation in the highly sensitive nanophotonic devices, changing the output's spectral characteristics. By examining these changes, researchers can determine the sample’s composition.
A special feature of the device is the tiny size of the microfluidic channels that deliver specimens to the sensors. This makes it possible to obtain results even from very small samples, something that can be critical when on-site analysis is not feasible and specimens must be transported elsewhere for examination.
Human blood contains certain components which can be valuable for preliminary diagnoses of oncology diseases. Such components include extracellular vesicles (exosomes). Exosomes are microscopic vesicles released into the intercellular space by tissue and organ cells.
'Cells communicate among themselves by using extracellular vesicles, such as exosomes, to send out messages', says Dmitry Gorin, professor at the Skolkovo Institute of Science and Technology. However, certain factors—either internal (genetic predisposition) or external (environmental, such as radiation) —can disrupt a cell's normal functioning, causing it to send the wrong messages, leading to uncontrolled cell division and tumour growth'.
At an early stage of cancer, exosome blood concentrations tend to increase to reach analytically significant values, signalling the presence of cancer, so this makes exosomes a potentially useful biomarker in oncology. The research team plan to further refine their device so that it may be used for this method of cancer detection.
So far, the sensor has been tested not on blood samples but on water solutions of isopropyl alcohol in 20 different concentrations, from 0.08% to 72% by weight. Since alcohol is highly soluble in water, it was possible to use very low concentrations. For example, the sensor detected isopropanol in a solution containing 12 molecules of alcohol per one million molecules of water. Currently, the device can analyse only two-component solutions, but the authors plan to make it suitable for multi-component analytes by covering special receptors (aptamers, antibodies, DARPins, and peptides) onto the sensor surface using microfluidic channels.
'Today, the experimental equipment needed for the device operation is rather bulky. The setup includes a peristaltic pump, a tuneable laser, a photodetector, a chip, and a PC for processing the data', explains the paper’s author Aleksei Kuzin, HSE graduate and current doctoral student at Skoltech. ‘In the future, we hope to produce a compact and portable device for rapid testing that will reduce the time and cost of cancer diagnosis, monitoring and treatment response assessment'.
Reference: Kuzin A, Kuzin A, Chernyshev V, et al. Hybrid nanophotonic–microfluidic sensor for highly sensitive liquid and gas analyses. Opt Lett, OL. 2022;47(9):2358-2361. doi: 10.1364/OL.457309
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