Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Nanodrone Detects Toxic Gases in Hazardous Environments

By HospiMedica International staff writers
Posted on 08 Aug 2019
A new study describes an innovative smelling nano aerial vehicle (SNAV) that can detect dangerous compounds in buildings that have collapsed due to earthquakes or explosions.

Developed at the University of Barcelona (UB, Spain), the Institute for Bioengineering of Catalonia (IBEC; Barcelona, Spain) and Örebro University (ORU; Sweden), the SNAV nanodrone weighs just thirty-five grams, including two nanometric metal oxide semiconductor (MOX) gas sensors that can respond to carbon monoxide (CO), methane (CH4), and other organic volatile compounds such as ethanol, acetone and benzene, with a detection threshold on the order of one part per million in volume (PPMV), according to the gas and the sensor used.

Due to its small form-factor, the SNAV is not hazardous to humans, thus enabling its use both in public areas and inside buildings, autonomously carrying out missions in hazardous environments inaccessible to terrestrial robots and bigger drones. More...
To guide the SNAV, six radiofrequency transceivers, located in known positions, are used, which together with a transceiver in the nanodrone itself allows operators to fly it to a desired position using the built-in accelometers and gyroscopes.

As a result, the SNAV is able to work in interior spaces, crossing holes and cracks, as well as in large areas--about 160 square meters--if the chemical emission source is hidden in areas which are hard to access, such as false ceilings, air duct systems, etc. In experiments conducted at ORU, the researchers were able to build a 3D map of the gas distribution and identify the most likely source location in less than three minutes, with a 1.38-2.05 meter accuracy. The study was published in the March 2019 issue of Sensors.

“Terrestrial robots used to focus the searching on the field of chemical signaling-based localization. Today, the option of using nanodrones broadens the ability and quickness of the robots to move within an interior space and overcome obstacles such as stairs,” said senior author Santiago Marco, PhD, head of the intelligent signaling for sensor systems in bioengineering research group at UB-IBEC. “Another line we want to work on is the merge of data from multiple gas sensors to increase selectivity towards certain compounds of interest.”

Related Links:
University of Barcelona
Institute for Bioengineering of Catalonia
Örebro University


Gold Member
NEW PRODUCT : SILICONE WASHING MACHINE TRAY COVER WITH VICOLAB SILICONE NET VICOLAB®
REGISTRED 682.9
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Resorbable Bovine Collagen Membrane
GenDerm
New
Breast Imaging Monitor
Barco Coronis Onelook MDMC-32133 32MP
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Artificial Intelligence

view channel
Image: Artificial intelligence (AI) standalone performance and reader performance with versus without AI assistance. (A) Receiver operating characteristics (ROC) curve for AI standalone performance in the US dataset (AUC 0.899, 95% CI 0.858 to 0.939). (B) ROC curve for AI standalone performance in the Korean dataset (AUC 0.963, 95% CI 0.946 to 0.975). (C) Pooled reader ROC without (AUC 0.718) versus with (AUC 0.852) AI assistance in the Korean dataset; P<0.001. AUC, area under the receiver operating characteristics curve. (Leonard Sunwoo et al., Journal of NeuroInterventional Surgery (2026). DOI: 10.1136/jnis-2026-025339)

AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment

Acute ischemic stroke occurs when a blood vessel in the brain becomes blocked, requiring rapid diagnosis to enable timely reperfusion therapy. Emergency departments often use computed tomography angiography... Read more

Critical Care

view channel
Image: Tubes attached to this artificial lung are connected to the patient\'s neck or chest, allowing blood to circulate and get oxygen while the patient is conscious. (Image Credit: Carnegie MellonImage: Tubes attached to this artificial lung are connected to the patient\'s neck or chest, allowing blood to circulate and get oxygen while the patient is conscious. (Image Credit: Carnegie Mellon University)University)

Portable Artificial Lung Technology Could Reshape Care for Chronic Lung Disease

Chronic lung disease can leave patients dependent on prolonged mechanical ventilation or awaiting transplantation, both of which carry substantial morbidity and healthcare costs. Ventilatory support may... Read more

Surgical Techniques

view channel
Image: The thin foetoscope is guided through the abdominal wall to the placenta. Small magnets in its tip react to an externally generated magnetic field, enabling the instrument to be bent with precision. The robotic platform is designed to occlude shared blood vessels in the placenta of twins with twin-to-twin transfusion syndrome. (Image Credit: created with BioRender.com, ETH Zurich)

Robotic Platform Advances Fetoscopic Treatment of Twin-to-Twin Transfusion Syndrome

Twin-to-twin transfusion syndrome is a life-threatening complication in monochorionic twin pregnancies caused by unbalanced placental blood flow. Definitive treatment requires endoscopic laser coagulation... Read more

Business

view channel
Image: LigaSure RAS Maryland, designed for the Valleylab FT10 platform on Hugo RAS, seals and cuts vessels, tissue, and lymphatics up to 7 mm in diameter (Photo courtesy of Medtronic)

Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery

As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.