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ARS Home » Southeast Area » Athens, Georgia » U.S. National Poultry Research Center » Egg and Poultry Production Safety Research Unit » Research » Publications at this Location » Publication #271465
Title: Visible/NIR spectroscopy for Identifying Salmonella Infected Broilers

Author
item Park, Bosoon
item Guard, Jean
item Sundaram, Jaya
item Windham, William
item Yoon, Seung-Chul
item Lawrence, Kurt

Submitted to: Near Infrared Spectroscopy International Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 8/15/2011
Publication Date: N/A
Citation: N/A

Interpretive Summary: Microbial pathogens can be transmitted to humans by consumption of contaminated poultry meat. Bile deposition on feces is a good indicator for the detection of broiler infected by Salmonella. Therefore, early detection of bile on the dropping (feces) from broiler is crucial to identify Salmonella infected poultry birds. Visible/NIR reflectance spectroscopy has the potential for early detection of bile composition on droppings at the broiler house.

Technical Abstract: Visible/NIR spectroscopy has the potential to determine key wavelengths for bile detection on droppings. These wavelengths can be used for further development with hyperspectral and/or multispectral imaging methods for real-time monitoring broilers infected by Salmonella. From the preliminary test using droppings only, the wavelengths (absorbance) which represent spectral characteristics of droppings were 448, 978, 1,192, 1,460, 1,780, and 1,910 nm, respectively. However, the peak wavelengths (absorbance) for bile samples were 430, 662, 1,460 and 1,910 nm, respectively. According to the validation test with mixture of droppings with bile samples at three (0.5 mL, 1.0 mL and more than 1.1 mL) concentration levels, the key wavelengths (absorbance) of 448, 662, 978, 1,192, 1,460, 1,780, and 1,910 nm were identified. Based on the preliminary results, the reflectance wavelength of 544 nm can be used for color band for the bile detection on droppings using a machine vision technique.