Literature DB >> 29430214

Angular photodiode array-based device to detect bacterial pathogens in a wound model.

Robin E Sweeney1, Jeong-Yeol Yoon1.   

Abstract

We 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°) and photodiodes positioned in 10° increments from 10° to 80° 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.

Entities:  

Keywords:  Escherichia coli; Mie scatter; Staphylococcus aureus; wound infection

Year:  2017        PMID: 29430214      PMCID: PMC5802419          DOI: 10.1109/JSEN.2017.2752155

Source DB:  PubMed          Journal:  IEEE Sens J        ISSN: 1530-437X            Impact factor:   3.301


  29 in total

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2.  On the sensitivity of forward scattering patterns from bacterial colonies to media composition.

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Journal:  J Biophotonics       Date:  2011-04       Impact factor: 3.207

Review 3.  Chronic wound infection: facts and controversies.

Authors:  Abdul R Siddiqui; Jack M Bernstein
Journal:  Clin Dermatol       Date:  2010 Sep-Oct       Impact factor: 3.541

Review 4.  Sensors and imaging for wound healing: a review.

Authors:  Tim R Dargaville; Brooke L Farrugia; James A Broadbent; Stephanie Pace; Zee Upton; Nicolas H Voelcker
Journal:  Biosens Bioelectron       Date:  2012-09-28       Impact factor: 10.618

Review 5.  Bacterial detection: from microscope to smartphone.

Authors:  Subash C B Gopinath; Thean-Hock Tang; Yeng Chen; Marimuthu Citartan; Thangavel Lakshmipriya
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6.  An evaluation of surgical site infections by wound classification system using the ACS-NSQIP.

Authors:  Gezzer Ortega; Daniel S Rhee; Dominic J Papandria; Jessica Yang; Andrew M Ibrahim; Andrew D Shore; Martin A Makary; Fizan Abdullah
Journal:  J Surg Res       Date:  2011-06-24       Impact factor: 2.192

7.  Novel peptidoglycan-based diagnostic devices for detection of wound infection.

Authors:  Andrea Hasmann; Eva Wehrschuetz-Sigl; Gertraud Kanzler; Ulrike Gewessler; Elisabeth Hulla; Konstantin P Schneider; Barbara Binder; Michael Schintler; Georg M Guebitz
Journal:  Diagn Microbiol Infect Dis       Date:  2011-03-09       Impact factor: 2.803

8.  Droplet-based immunoassay on a 'sticky' nanofibrous surface for multiplexed and dual detection of bacteria using smartphones.

Authors:  Ariana M Nicolini; Christopher F Fronczek; Jeong-Yeol Yoon
Journal:  Biosens Bioelectron       Date:  2014-10-03       Impact factor: 10.618

9.  Mie scatter spectra-based device for instant, contact-free, and specific diagnosis of bacterial skin infection.

Authors:  Robin E Sweeney; Elizabeth Budiman; Jeong-Yeol Yoon
Journal:  Sci Rep       Date:  2017-07-06       Impact factor: 4.379

10.  Rapid and reagentless detection of microbial contamination within meat utilizing a smartphone-based biosensor.

Authors:  Pei-Shih Liang; Tu San Park; Jeong-Yeol Yoon
Journal:  Sci Rep       Date:  2014-08-05       Impact factor: 4.379

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  1 in total

1.  Label-free Mie Scattering Identification of Tumor Tissue Using an Angular Photodiode Array.

Authors:  Matthew V Bills; Jeong-Yeol Yoon
Journal:  IEEE Sens Lett       Date:  2020-06-11
  1 in total

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