Hyperspectral Fluorescence Imaging coupled with Multivariate Image Analysis Techniques for Contaminant Screening of Leafy Greens

被引:1
作者
Everard, Colm D. [1 ]
Kim, Moon S. [2 ]
Lee, Hoyoung [2 ]
机构
[1] Univ Coll Dublin, Sch Biosyst Engn, Dublin 4, Ireland
[2] USDA ARS, US Dept Agr, Agr Res Serv, Environm Microbial & Food Safety Lab, Beltsville, MD 20705 USA
来源
SENSING FOR AGRICULTURE AND FOOD QUALITY AND SAFETY VI | 2014年 / 9108卷
关键词
Contaminant; leafy greens; hyperspectral fluorescence imaging; multivariate image analysis;
D O I
10.1117/12.2051074
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The production of contaminant free fresh fruit and vegetables is needed to reduce foodborne illnesses and related costs. Leafy greens grown in the field can be susceptible to fecal matter contamination from uncontrolled livestock and wild animals entering the field. Pathogenic bacteria can be transferred via fecal matter and several outbreaks of E. coli O157:H7 have been associated with the consumption of leafy greens. This study examines the use of hyperspectral fluorescence imaging coupled with multivariate image analysis to detect fecal contamination on Spinach leaves (Spinacia oleracea). Hyperspectral fluorescence images from 464 to 800 nm were captured; ultraviolet excitation was supplied by two LED-based line light sources at 370 nm. Key wavelengths and algorithms useful for a contaminant screening optical imaging device were identified and developed, respectively. A non-invasive screening device has the potential to reduce the harmful consequences of foodborne illnesses.
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页数:5
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