Using nanotechnology, ΒιΆΉΣ³»΄«Γ½ researchers have developed the first rapid detector for dopamine, a chemical that is believed to play a role in various diseases such as Parkinsonβs, depression and some cancers.
Studies show too much dopamine could be associated with some cancers, while low dopamine could be associated with Parkinsonβs disease and depression.Β The new technique developed at ΒιΆΉΣ³»΄«Γ½ requires only a few drops of blood, and results are available in minutes instead of hours because no separate lab is necessary to process the sample.
The new technology was described in a recent study in the journal Nano Letters.
More than half a million people in the United States have Parkinsonβs and major episodes of depression affect about 16 million adults a year.
Current methods to detect dopamine are time consuming, require rigorous sample preparation, including blood-plasma separation, as well as specialized laboratory equipment. With this device, however, a few drops of blood on a palm-sized, rectangular chip is all that is needed.
Former methods of dopamine detection require much more time, sample preparations and specialized lab equipment.
βA neurotransmitter like dopamine is an important chemical to monitor for our overall well-being so we can help screen out neural disorders like Parkinsonβs disease, various brain cancers, and monitor mental health,β says Debashis Chanda, an associate professor in ΒιΆΉΣ³»΄«Γ½βs and the studyβs principle investigator. βWe need to monitor dopamine so that we can adjust our medical doses to help address those problems.β
Plasma is separated from the blood within the chip. Cerium oxide nanoparticles, which coat the sensor surface, selectively capture dopamine at microscopic levels from the plasma. The capture of dopamine molecules subsequently changes how light is reflected from the sensor and creates an optical readout indicating the level of dopamine.
Sudipta Seal, an engineering professor and chair of ΒιΆΉΣ³»΄«Γ½βs , says the use of cerium oxide nanoparticles was an important part of the sensorβs success.
βGetting the sensor to be sensitive to dopamine had been quite the challenge for researchers for a while, but using altered cerium oxide nanostructures on the sensing platform was key in making the sensor work,β Seal says.
Chanda co-developed the sensor with Abraham Vazquez-Guardado ’16MS ’18PhD, a graduate of ΒιΆΉΣ³»΄«Γ½βs and now a postdoctoral fellow at Northwestern University.
VΓ‘zquez-Guardado says reduced steps and processing make the test cost effective, and it can also be performed at the patientβs side rather than in a separate lab.
βThere is no preprocessing needed,β he says. βOur plan was to make a much quicker, enzyme-free kind of detection.β
Study co-authors also includedΒ Swetha Barkam β13MSΒ β17PhD, a ΒιΆΉΣ³»΄«Γ½ materials science and engineering graduate and Order of Pegasus recipient, now at Micron Technology; MadisonΒ Peppler β17, a graduate of ΒιΆΉΣ³»΄«Γ½βs ; Aritra Biswas, a doctoral student in the College of Optics and Photonics; Wessley Dennis, a ΒιΆΉΣ³»΄«Γ½ student supported by ΒιΆΉΣ³»΄«Γ½βs Research and Mentoring Activities program; and Soumen Das, a postdoctoral fellow in the center who now works in the medical industry.
Chanda has a joint appointment in ΒιΆΉΣ³»΄«Γ½βs and College of Optics and Photonics. He received his doctorate in photonics from the University of Toronto and worked as a postdoctoral fellow at the University of Illinois at Urbana-Champaign. He joined ΒιΆΉΣ³»΄«Γ½ in 2012.
Seal has a doctorate in materials engineering with a minor in biochemistry from the University of Wisconsin and was a postdoctoral fellow at the Lawrence Berkeley National Laboratory, University of California Berkeley. He is a Pegasus Professor and is affiliated with ΒιΆΉΣ³»΄«Γ½βs Advanced Materials Processing Analysis Center and Nanoscience Technology Center. He is also a member of ΒιΆΉΣ³»΄«Γ½βs Prosthetic Interfaces cluster and holds a secondary joint appointment in ΒιΆΉΣ³»΄«Γ½βs College of Medicine. He joined ΒιΆΉΣ³»΄«Γ½ in 1997.
Part of the plasmonic sensor research was funded with support from the National Science Foundation and Northrop Grummanβs University Research Program.