American scientists have taken inspiration from the smell of locusts and developed a new bionic robot sensing system that can be used to sniff out explosives and other security applications...
The engineering team at Washington University in St. Louis inspired the locusts and developed a new bionic robot sensing system for sniffing explosives and other security applications.
Baranidharan Raman, associate professor of biomedical engineering at the School of Engineering and Applied Sciences, and the US Naval Research Office (ONR) received $750,000 in sponsorship to develop a biological hybrid nose based on this highly sensitive olfactory system.
According to Raman, biosensing systems are more complex than other engineering systems of the same type, including chemical sensing systems that are responsible for olfactory senses. Although this olfactory sense is an original instinct, it remains in many vertebrates and invertebrate species.
"Fusion biology solutions can be used to solve problems such as non-invasive or chemical sensing, and the same design and computing principles are replicated everywhere," Raman said. "So, understanding the basic principles of olfactory processing is inspired by biology. Engineering solutions are indispensable."
Over the years, and under the auspices of ONR, Raman has been studying how the locust brain receives and processes sensory signals in a fairly simple way. He and his team found that the scent stimulates the dynamic nerve activity in the brain, allowing the mites to correctly recognize the specific odor, even in the presence of other odors. In other research, the research team also found that mites can be trained to recognize an odor, even in complex situations, such as overlapping with other flavors or under different background conditions.
“Why do you have to do this? Why not use bio-solutions directly?†Raman pointed out, “even the most advanced micro-chemical sensing devices have many sensors. On the other hand, if you look at the antenna of the insect – where the chemical sensor is, There are also thousands of sensors and various types."
The research team also intends to monitor the neural activity of the brain as it moves freely, explores and decodes the odors that appear in its environment.
This approach also requires low power electronics to collect, record, and transmit data. Shan Tanu Chakrabartty, calculator science and engineering, is an expert professor of microelectronics in developing his own adaptive integrated microsystems lab, which will work with Raman to develop this part of the work.
This approach also requires low-power electronic components to collect, record, and transmit data. Shantanu Chakrabartty, a professor of computer science and engineering at the University of Washington in St. Louis, will work with Raman to develop the components needed for this research.
The research team also plans to use locusts as a biomimetic robotic system to collect samples by remote control. Srikanth Singamaneni, a multi-functional nanomaterials expert and assistant professor of materials science at the school, will develop a plasma "tattoo paper" made of biocompatible silk that can be attached to the wings of aphids (which can produce micro-heat) and help to penetrate Remote control is used to guide the mites towards a specific location. In addition, tattoo stickers embedded with plasma nanostructures can also collect samples of adjacent volatile organic compounds, allowing researchers to perform secondary analysis of the chemical composition of compounds using traditional methods.
“In many engineering applications, the dog's olfactory system is still an advanced sensing system, including sniffer dogs, including homeland security and medical diagnostics,†Raman said. “However, the time required to train and constrain these animals is Difficulties, coupled with the lack of powerful decoding procedures to capture chemical transfer information from biological systems, pose significant challenges for a wider range of applications."
Difficulties and the time required to train and modulate these animals, combined with the lack of robust coding procedures to extract information about the chemical delivery from biological systems, poses a significant challenge for a wider range of applications. “We expect this study to develop and validate this locust-based chemical sensing pathway for further detection of bursts.â€
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