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ARS Home » Southeast Area » Athens, Georgia » U.S. National Poultry Research Center » Quality and Safety Assessment Research Unit » Research » Research Project #439723

Research Project: Smart Optical Sensing of Food Hazards and Elimination of Non-Nitrofurazone Semicarbazide in Poultry

Location: Quality and Safety Assessment Research Unit

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

Classification between live and dead foodborne bacteria with hyperspectral microscope imagery and machine learning Reprint Icon - (Peer Reviewed Journal)
Park, B., Shin, T., Wang, B., Mcdonogh, B., Fong, A. 2023. Classification between live and dead foodborne bacteria with hyperspectral microscope imagery and machine learning. Journal of Microbiological Methods. https://doi.org/10.1016/j.mimet.2023.106739.

Biopolymer encapsulated AgNO3 nanoparticle substrates with surface-enhanced Raman spectroscopy (SERS) for Salmonella detection from chicken rinse Reprint Icon - (Peer Reviewed Journal)
Eady, M.B., Setia, G., Park, B., Wang, B., Sundaram, J. 2023. Biopolymer encapsulated AgNO3 nanoparticle substrates with surface-enhanced Raman spectroscopy (SERS) for Salmonella detection from chicken rinse. International Journal of Food Microbiology. https://doi.org/10.1016/j.ijfoodmicro.2023.110158.

Microalgae can promote nitrification in poultry-processing wastewater in the presence and absence of antimicrobial agents Reprint Icon - (Peer Reviewed Journal)
Wang, Q., Childree, E., Box, J., Lopez-Vela, M., Sprague, D., Cherones, J., Higgins, B. 2023. Microalgae can promote nitrification in poultry-processing wastewater in the presence and absence of antimicrobial agents. ACS ES&T Engineering. https://doi.org/10.1021/acsestengg.2c00360.

Improving blueberry firmness classification with spectral and textural features of microstructures using hyperspectral microscope imaging and deep learning Reprint Icon - (Peer Reviewed Journal)
Park, B., Shin, T., Cho, J., Lim, J., Park, K. 2022. Improving blueberry firmness classification with spectral and textural features of microstructures using hyperspectral microscope imaging and deep learning. Postharvest Biology and Technology. https://doi.org/10.1016/j.postharvbio.2022.112154.

Detection of aflatoxin B1 in single peanut kernels by combining hyperspectral and microscopic imaging technologies Reprint Icon - (Peer Reviewed Journal)
Zhang, H., Jia, B., Lu, Y., Yoon, S.C., Ni, X., Zhuang, H., Guo, X., Wang, W. 2022. Detection of aflatoxin B1 in single peanut kernels by combining hyperspectral and microscopic imaging technologies. Sensors. 22(13):4864. https://doi.org/10.3390/s22134864.

Microfluidic sampling and biosensing systems for foodborne Escherichia coli and Salmonella Reprint Icon - (Peer Reviewed Journal)
Wang, B., Park, B. 2022. Microfluidic sampling and biosensing systems for foodborne Escherichia coli and Salmonella. Foodborne Pathogens and Disease. https://doi.org/10.1089/fpd.2021.0087.

Spatio-temporal patterns of Aspergillus flavus infection and aflatoxin B1 biosynthesis on maize kernels probed by SWIR hyperspectral imaging and synchrotron FTIR microspectroscopy Reprint Icon - (Peer Reviewed Journal)
Yao, L., Beibei, J., Yoon, S.C., Zhuang, H., Ni, X., Guo, B., Gold, S.E., Fountain, J.C., Glenn, A.E., Lawrence, K.C., Zhang, H., Guo, X., Wang, W. 2022. Spatio-temporal patterns of Aspergillus flavus infection and aflatoxin B1 biosynthesis on maize kernels probed by SWIR hyperspectral imaging and synchrotron FTIR microspectroscopy. Food Chemistry. 382:132340. https://doi.org/10.1016/j.foodchem.2022.132340.

Characterizing hyperspectral microscope imagery for classification of blueberry firmness with deep learning methods Reprint Icon - (Peer Reviewed Journal)
Park, B., Shin, T., Cho, J., Lim, J., Park, K. 2021. Characterizing hyperspectral microscope imagery for classification of blueberry firmness with deep learning methods. Agronomy Journal. https://doi.org/10.3390/agronomy12010085.

Detection of foreign materials on broiler breast meat using fusion of visible near-infrared and short-wave infrared hyperspectral imaging Reprint Icon - (Peer Reviewed Journal)
Chung, S., Yoon, S.C. 2021. Detection of foreign materials on broiler breast meat using fusion of visible near-infrared and short-wave infrared hyperspectral imaging. Applied Sciences. https://doi.org/10.3390/app112411987.

Physicochemical indicators coupled with multivariate analysis for comprehensive evaluation of matcha sensory quality Reprint Icon - (Peer Reviewed Journal)
Wu, J., Ouyang, Q., Park, B., Kang, R., Wang, Z., Wang, L., Chen, Q. 2021. Physicochemical indicators coupled with multivariate analysis for comprehensive evaluation of matcha sensory quality. Food Chemistry. https://doi.org/10.1016/j.foodchem.2021.131100.

Rapid identification of foodborne bacteria with hyperspectral microscope imaging and artificial intelligence classification algorithms Reprint Icon - (Peer Reviewed Journal)
Kang, R., Park, B., Ouyang, Q., Ren, N. 2021. Rapid identification of foodborne bacteria with hyperspectral microscope imaging and artificial intelligence classification algorithms. Food Control. https://doi.org/10.1016/j.foodcont.2021.108379.