Angular Photodiode Array-Based Device to Detect Bacterial Pathogens in a Wound Model
Final Accepted Manuscript
AffiliationUniv Arizona, Dept Biomed Engn
MetadataShow full item record
CitationR. E. Sweeney and J. Y. Yoon, "Angular Photodiode Array-Based Device to Detect Bacterial Pathogens in a Wound Model," in IEEE Sensors Journal, vol. 17, no. 21, pp. 6911-6917, Nov.1, 1 2017. doi: 10.1109/JSEN.2017.2752155
JournalIEEE SENSORS JOURNAL
RightsCopyright © 2017, IEEE.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractWe have developed a device that is able to rapidly and specifically diagnose bacterial pathogens in a wound model based on Mie scatter spectra from a tissue surface. The Mie scatter spectra collected is defined as the intensity of Mie scatter over the angle of detection from a tissue surface. A 650-nm LED perpendicular to the surface illuminates a tissue sample (90 degrees) and photodiodes positioned in 10 degrees increments from 10 degrees to 80 degrees of backscatter act as the detectors to collect these Mie scatter spectra. Through principal component analysis of the Mie scatter spectra collected, we have shown significant differences between Mie scatter spectra of tissues with bacterial pathogens versus those without, as well as significant differences between each species of bacteria tested. The device developed has been tested with a porcine dermis wound model, with samples inoculated with one of three bacterial species (Staphylococcus aureus, Escherichia coli, or Salmonella Typhimurium). Such a device could be critical in the monitoring of a wound for infection and rapid, specific diagnosis of a bacterial wound infection, which would significantly reduce the time and cost associated with specific diagnosis of a bacterial wound infection currently.
VersionFinal accepted manuscript
SponsorsCardiovascular Biomedical Engineering Training Grant through the U.S. National Institutes of Health [T32HL007955]