Nanophotonic System Translates Molecules into Bar Codes

EPFL scientists have developed a unique system that can be used for detecting and analyzing molecules with very a level of high precision and without using any bulky equipment. This latest development paves the way for large-scale, image-based detection of materials assisted by artificial intelligence. The study has been reported in Science.

Organic compounds are typically detected and analyzed by infrared spectroscopy, but this method calls for complex procedures as well as huge and costly instruments which make device miniaturization quite difficult and thus limits its applications in certain medical and industrial applications and for collecting data out in the field, for example, for determining the concentrations of pollutants. Infrared spectroscopy is also essentially restricted by low sensitivities and thus needs large amounts of samples.

Conversely, a research team from EPFL’s School of Engineering and Australian National University (ANU) has designed a sensitive and compact nanophotonic system that is capable of identifying the absorption characteristics of a molecule without using traditional spectrometry. The researchers have already detected organic compounds, polymers, and pesticides with their system, which can also be used with CMOS technology.

The novel system features an engineered surface which is surrounded with countless numbers of very small sensors known as metapixels. These metapixels can create a unique bar code for each molecule that the surface comes into contact, and using advanced pattern recognition and sorting technology (for example, artificial neural networks) these bar code can be extensively analyzed. This study – which turns out to be a meeting point of nanotechnology, physics, and big data – has been reported in the Science journal.

Read more at sciencedaily.com

Image Credit:  © 2018 EPFL

News This Week

Quantum dots in brain could treat Parkinson’s and Alzheimer’s diseases

Tiny particles called quantum dots reduce symptoms in mice primed to develop a type of Parkinson’s disease, and also block formation of the toxic protein clumps in Alzheimer’s. They could one day be a [...]

Three Huge Ways Tech Is Overhauling Healthcare

We are on the brink of a revolution in healthcare. AI is making the drug discovery process >100X faster and cheaper, and 90 percent more likely to succeed in clinical trials. Mobile health is [...]

Building a robotic eel that swims through your body

Physicist Seth Fraden is developing a new generation of machines modeled on living creatures. His latest invention might one day treat disease by swimming its way through our blood. As a kid, physicist Seth [...]

Richard Feynman “Tiny Machines” Nanotechnology Lecture Video

Richard Feynman gave his famous talk "There's Plenty of Room at the Bottom" (Original Transcript Available Here : http://muonray.blogspot.ie/2012/12/ri...) on December 29th 1959 at the annual meeting of the American Physical Society at [...]

Boosting immune cells with nanoparticles

Programming the body’s immune system to attack cancer cells has had promising results for treating blood cancers such as lymphoma and leukemia. This tactic has proven more challenging for solid tumors such as breast [...]

Analysis of Nanoparticles in Commercial Sunscreens

Postnova Analytics has published a new application note that describes a new approach for analysis of titanium dioxide nanoparticles in commercial sunscreens. The technique, which combines Inverse Supercritical Fluid Extraction (I-SFE) and Miniaturized Asymmetrical [...]

Future Space Tourists Might Have To Train Before Their Trips

Leave it to Richard Branson to find motivation to go to the gym in traveling to space. On Tuesday, a ship from Brason’s space flight company, Virgin Galactic, achieved supersonic speed in a test [...]

Artificial Intelligence to Boost Liquid Biopsies

Machine-learning algorithms tuned to detecting cancer DNA in the blood could pave the way for personalized cancer care. copyright by www.the-scientist.com Modern cancer medicine is hampered by two big challenges—detecting cancers when they are [...]

2018-06-17T13:37:32+00:00

Leave A Comment