Paper
18 April 2008 Portable hyperspectral fluorescence imaging system for detection of biofilms on stainless steel surfaces
Won Jun, Kangjin Lee, Patricia Millner, Manan Sharma, Kuanglin Chao, Moon S. Kim
Author Affiliations +
Abstract
A rapid nondestructive technology is needed to detect bacterial contamination on the surfaces of food processing equipment to reduce public health risks. A portable hyperspectral fluorescence imaging system was used to evaluate potential detection of microbial biofilm on stainless steel typically used in the manufacture of food processing equipment. Stainless steel coupons were immersed in bacterium cultures, such as E. coli, Pseudomonas pertucinogena, Erwinia chrysanthemi, and Listeria innocula. Following a 1-week exposure, biofilm formations were assessed using fluorescence imaging. In addition, the effects on biofilm formation from both tryptic soy broth (TSB) and M9 medium with casamino acids (M9C) were examined. TSB grown cells enhance biofilm production compared with M9C-grown cells. Hyperspectral fluorescence images of the biofilm samples, in response to ultraviolet-A (320 to 400 nm) excitation, were acquired from approximately 416 to 700 nm. Visual evaluation of individual images at emission peak wavelengths in the blue revealed the most contrast between biofilms and stainless steel coupons. Two-band ratios compared with the single-band images increased the contrast between the biofilm forming area and stainless steel coupon surfaces. The 444/588 nm ratio images exhibited the greatest contrast between the biofilm formations and stainless coupon surfaces.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Won Jun, Kangjin Lee, Patricia Millner, Manan Sharma, Kuanglin Chao, and Moon S. Kim "Portable hyperspectral fluorescence imaging system for detection of biofilms on stainless steel surfaces", Proc. SPIE 6983, Defense and Security 2008: Special Sessions on Food Safety, Visual Analytics, Resource Restricted Embedded and Sensor Networks, and 3D Imaging and Display, 698306 (18 April 2008); https://doi.org/10.1117/12.786870
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Cited by 4 scholarly publications.
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KEYWORDS
Luminescence

Hyperspectral imaging

Imaging systems

Electron multiplying charge coupled devices

Agriculture

Manufacturing

Safety

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