Identification and characterization of bacteria on surfaces using light scattering

Brent Martin Nebeker; Benjamin D. Buckner; E. Dan Hirleman; Amanda Lathrop; Arun K. Bhunia

doi:10.1117/12.418733

13 March 2001 Identification and characterization of bacteria on surfaces using light scattering

Brent Martin Nebeker, Benjamin D. Buckner, E. Dan Hirleman, Amanda Lathrop, Arun K. Bhunia

Proceedings Volume 4206, Photonic Detection and Intervention Technologies for Safe Food; (2001) https://doi.org/10.1117/12.418733
Event: Environmental and Industrial Sensing, 2000, Boston, MA, United States

Abstract

In the past 30 years, the pattern and intensity of scattered light from small illuminated bio-features suspended in fluids have been analyzed to obtain information on feature size and composition. However, recent advances by the investigators related to rapid, non-invasive detection of sub-micron particles on silicon wafers in semiconductor processing suggest an attractive new approach to the problem of surface bio-feature detection and characterization. Our objective is to develop a rapid light scattering sensory method for the detection and identification of surface bacteria microcolonies to meet the needs for rapid identification techniques by the food and health industries. Scatterometer measurements of light scattering from Listeria monocytogenes ATCC 191 13 and Listeria innocua ATCC 33090 microcolonies on enriched agar plates has been performed. The prediction of light scattering from bacteria cells on surfaces has also been conducted using numerical modeling based on the discrete-dipole approximation. These studies show the variation of light scattering for various shaped and sized bacteria.

Citation Download Citation

Brent Martin Nebeker, Benjamin D. Buckner, E. Dan Hirleman, Amanda Lathrop, and Arun K. Bhunia "Identification and characterization of bacteria on surfaces using light scattering", Proc. SPIE 4206, Photonic Detection and Intervention Technologies for Safe Food, (13 March 2001); https://doi.org/10.1117/12.418733

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available