Optimal fluorescence excitation and emission bands for detection of fecal contamination

Journal of Food Protection

Volumn 66, Issue 7, 2003, Pages 1198-1207

  Kim, Moon S ^a   Lefcourt, Alan M ^a   Chen, Yud Ren ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMALIA; CERVIDAE; GALLUS GALLUS; SUS SCROFA;

EID: 0038446912     PISSN: 0362028X     EISSN: None     Source Type: Journal    
DOI: 10.4315/0362-028X-66.7.1198     Document Type: Article

References (30)

1. Albers, B., J. DiBenedetto, S. Lutz, and C. Purdy. 1995. More efficient environmental monitoring with laser-induced fluorescence imaging. Biophotonics Int. Nov/Dec:42-54.
2. Armstrong, G. L., J. Hollingsworth, and J. G. Morris, Jr. 1996. Emerging foodborne pathogens: Escherichia coli O157:H7 as a model of entry of a new pathogen into the food supply of the developed world. Epidemiol. Rev. 18:29-51.
3. Ashby, K. D., T. A. Casey, M. A. Rasmussen, and J. W. Petrich. 2001. Steady-state and time-resolved spectroscopy of F420 extracted from methanogen cells and its utility as a marker for fecal contamination. J. Agric. Food Chem. 49:1123-1127.
4. Chappelle, E. W., M. S. Kim, and J. E. McMurtrey. 1992. Ratio analysis of reflectance spectra (RARS): an algorithm for the remote estimation of the concentrations of chlorophyll a, chlorophyll b, and carotenoids. Remote Sens. Environ. 37:121-128.
5. Chappelle, E. W., J. E. McMurtrey, and M. S. Kim. 1991. Identification of the pigment responsible for the blue fluorescence band in laser induced fluorescence (LIF) spectra of green plants, and the potential use of this band in remotely estimating rates of photosynthesis. Remote Sens. Environ. 36:213-218.
6. Chappelle, E. W., F. M. Wood, J. E. McMurtrey, and W. W. Newcomb. 1984. Laser induced fluorescence of green plants: 1. A technique for the remote detection of plant stress and species differentiation. Appl. Opt. 23:134-138.
7. Chen, Y. R., K. Chao, W. R. Hruschka, and Y. Liu. 2001. Advances in sensing technologies for poultry inspection, p. 140-181. In J. A. DeShazer and G. E. Meyer (ed.), Optics in agriculture 1990-2000, vol. 80. Critical review. The International Society for Optical Engineering, Bellingham, Wash.
8. Chen, Y. R., K. Chao, and M. S. Kim. 2002. Future trends of machine vision technology for agricultural applications. Comput. Electronics Agric. 36:173-191.
9. Chen, Y. R., R. W. Huffman, B. Park, and M. Nguyen. 1996. Transportable spectrophotometer system for on-line classification of poultry carcasses. Appl. Spectrosc. 50:910-916.
10. Cody, S. H., M. K. Glynn, J. A. Farrar, K. L. Cairns, P. M. Griffin, J. Kobayashi, M. Fyfe, R. Hoffman, A. S. King, J. H. Lewis, B. Swaminathan, R. G. Bryant, and D. J. Vugia. 1999. An outbreak of Escherichia coli O157:H7 infection from unpasteurized commercial apple juice. Ann. Intern. Med. 130:202-209
11. Corp, L. A., E. W. Chappelle, J. E. McMurtrey, C. S. T. Daughtry, and M. S. Kim. 1997. UV band fluorescence (in vivo) and its applications to the remote assessment of nitrogen fertilization level. Remote Sens. Environ. 61:110-117.
12. Food Safety and Inspection Service, U.S. Department of Agriculture. 1998. Livestock post-mortem inspection activities - enforcing the zero tolerances for fecal materials, ingesta, and milk. FSIS directive 6420.1, p. 1-9. Available at: http://www/fsis.usda.gov/OPPDE/rdad/FSISDirectives/FSISDir6420_1.htm.
13. Food and Drug Administration. 2001. Hazard analysis and critical control point (HAACP); procedures for the safe and sanitary processing and importing of juices. Fed. Regist. 66:6137-6202.
14. Harris, P. J., and R. D. Hartley. 1976. Detection of bound ferulic acid in cell walls of the Gramineae by ultraviolet fluorescence microscopy. Nature 259:508-510.
15. Heaton, J. W., R. W. Lencki, and A. G. Marangoni. 1996. Kinetic model for chlorophyll degradation in green tissue. J. Agric. Food Chem. 44:399-402.
16. Kim, M. S., A. M. Lefcourt, K. Chao, Y. R. Chen, and I. Kim. 2003. Multispectral detection of fecal contamination on apples based on hyperspectral imagery - part I: application of visible-near infrared reflectance imaging. Trans. Am. Soc. Agric. Eng. 45:2027-2037.
17. Kim, M. S., A. M. Lefcourt, Y. R. Chen, I. Kim, K. Chao, and D. Chan. 2003. Multispectral detection of fecal contamination on apples based on hyperspectral imagery - part II: application of fluorescence imaging. Trans. Am. Soc. Agric. Eng. 45:2039-2047.
18. Kim, M. S., J. E. McMurtrey, C. L. Mulchi, C. S. T. Daughtry, E. W. Chappelle, and Y. R. Chen. 2001. Steady-state multispectral fluorescence imaging system for plant leaves. Appl. Opt. 40:157-166.
19. Klein, M. 2002. emerge Interactive, Excel enter into production development agreement for new breakthrough food-safety technology. Available at: http://www.excelmeats.com/about/february/52002.htm.
20. Lang, M., F. Stober, and H. K. Lichtenthaler. 1991. Fluorescence emission spectra of plant leaves and plant constituents. Radiat. Environ. Biophys. 30:333-347.
21. McMurtrey, J. E., E. W. Chappelle, C. S. T. Daughtry, and M. S. Kim. 1993. Fluorescence and reflectance of crop residue and soil. J. Soil Water Conserv. 48:207-213.
22. Mead, P. S., L. Slutsker, V. Dietz, L. F. McCaig, J. S. Bresee, C. Shapiro, P. M. Griffin, and R. V. Tauxe. 1999. Food-related illness and death in the United States. Emerg. Infect. Dis. 5:607-625.
23. Papageorgiou, G. 1975. Chlorophyll fluorescence: an intrinsic probe of photosynthesis, p. 320-371. In Govindjee (ed.), Bioenergetics of photosynthesis. Academic Press, New York.
24. Park, B., Y. R. Chen, and M. Nguyen. 1998. Multi-spectral image analysis using neural network algorithm for inspection of poultry carcasses. J. Agric. Eng. Res. 69:351-363.
25. Rodoni, S., F. Viventini, M. Schellenberg, P. Matile, and S. Hortensteiner. 1997. Partial purification and characterization of red chlorophyll catabolite reductase, a stroma protein involved in chlorophyll breakdown. Plant Physiol. 115:677-682.
26. Seely, G. R., and J. S. Connolly. 1986. Fluorescence of photosynthetic pigments in vitro, p. 99-133. In Govindjee, J. Amesz, and D. C. Fork (ed.), Light emission by plants and bacteria. Academic Press, Orlando, Fla.
27. Swatland, H. J., and S. Barbut. 1991. Fluorimetry via quartz-glass rod for predicting the skin content and processing characteristics of poultry meat slurry. Int. J. Food Sci. Technol. 26:373-380.
28. Tassetti, V., A. Hajri, M. Sowinska, S. Evrard, F. Heisel, L. Q. Cheng, J. A. Mieh, J. Marescaux, and M. Aprahamian. 1997. In vivo laser-induced fluorescence imaging of a rat pancreatic cancer with pheophorbide-a. Photochem. Photobiol. 65:997-1006.
29. Wold, J. P., and K. Kvaal. 2000. Mapping lipid oxidation in chicken meat by multispectral imaging of autofluorescence. Appl. Spectrosc. 54:900-909.
30. Wold, J. P., F. Lundby, and B. Egelandsdal. 1999. Quantification of connective tissue (hydroxyproline) in ground beef by autofluorescence spectroscopy. J. Food Sci. 64:377-383.