Skip to main content
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.)

Pilot-scale evaluation of poultryponics: insights into nitrogen utilization and food pathogen dynamics Reprint Icon - (Peer Reviewed Journal)
Wellington, A., Morgan, Z., Reina Antillon, M., Drabold, E., Wells, D.E., Bourassa, D.V., Wang, Q., Higgins, B.T. 2024. Pilot-scale evaluation of poultryponics: insights into nitrogen utilization and food pathogen dynamics. ACS Environmental Science & Technology Water. 4(9):3964-3975. https://doi.org/10.1021/acsestwater.4c00262.

Consumer perception survey of animal welfare in broiler stunning - (Abstract Only)

Evaluation of sensory characteristics and consumer acceptance of electrical and gas stunned broilers during chilled storage - (Abstract Only)

Rapid and data-efficient classification of Salmonella serovars via image augmentation and deep learning on hyperspectral microscope images - (Abstract Only)

Coupling hyperspectral imaging with machine learning algorithms for detecting polyethylene (PE) and polyamide (PA) in soils Reprint Icon - (Peer Reviewed Journal)
Huan, C., Shin, T., Park, B., Ro, K.S., Jeong, C., Jeon, H., Tan, P. 2024. Coupling hyperspectral imaging with machine learning algorithms for detecting microplastics in soils. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2024.134346.

Quantitative prediction and visualization of matcha color physicochemical indicators using hyperspectral microscope imaging technology Reprint Icon - (Peer Reviewed Journal)
Li, D., Park, B., Chen, Q., Ouyang, Q., Kang, R. 2024. Quantitative prediction and visualization of matcha color physicochemical indicators using hyperspectral microscope imaging technology. Food Control. https://doi.org/10.1016/j.foodcont.2024.110531.

3D-GhostNet: A novel spatial-spectral algorithm to improve foodborne bacteria classification coupled with hyperspectral microscopic imaging technology Reprint Icon - (Peer Reviewed Journal)
Kang, R., Sun, S., Ouyang, Q., Huang, J., Park, B. 2024. 3D-GhostNet: A novel spatial-spectral algorithm to improve foodborne bacteria classification coupled with hyperspectral microscopic imaging technology. Sensors and Actuators B: Chemical. https://doi.org/10.1016/j.snb.2024.135706.

Macro-micro exploration on dynamic interaction between aflatoxigenic Aspergillus flavus and maize kernels using Vis/NIR hyperspectral imaging and SEM technology Reprint Icon - (Peer Reviewed Journal)
Lu, Y., Jia, B., Yoon, S.C., Ni, X., Zhuang, H., Guo, B., Gold, S.E., Fountain, J.C., Glenn, A.E., Lawrence, K.C., Zhang, F., Wang, W., Lu, J., Wei, C., Jiang, H., Luo, J. 2024. Macro-micro exploration on dynamic interaction between aflatoxigenic Aspergillus flavus and maize kernels using Vis/NIR hyperspectral imaging and SEM technology. International Journal of Food Microbiology. 416. https://doi.org/10.1016/j.ijfoodmicro.2024.110661.

A multiscale computation study on bruise susceptibility of blueberries from mechanical impact Reprint Icon - (Peer Reviewed Journal)
Hou, J., Park, B., Li, C., Wang, X. 2023. A multiscale computation study on bruise susceptibility of blueberries from mechanical impact. Postharvest Biology and Technology. https://doi.org/10.1016/j.postharvbio.2023.112660.

Semisupervised deep learning for the detection of foreign materials on poultry meat with near-infrared hyperspectral imaging Reprint Icon - (Peer Reviewed Journal)
Campos, R., Yoon, S.C., Chung, S., Bhandarkar, S.M. 2023. Semisupervised deep learning for the detection of foreign materials on poultry meat with near-infrared hyperspectral imaging. Sensors. 23(16):7014. https://doi.org/10.3390/s23167014.

Hyperspectral microscope imaging applications for food safety and quality - (Abstract Only)
Park, B. 2023. Hyperspectral microscope imaging applications for food safety and quality. Meeting Abstract. https://www.optica.org/events/congress/optical_sensors_and_sensing_congress/.

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.

Automated segmentation of foodborne bacteria from chicken rinse with hyperspectral microscope imaging and deep learning methods Reprint Icon - (Peer Reviewed Journal)
Park, B., Shin, T., Kang, R., Fong, A., Mcdonogh, B., Yoon, S.C. 2023. Automated segmentation of foodborne bacteria from chicken rinse with hyperspectral microscope imaging and deep learning methods. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2023.107802.

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.

Meat quality of broiler chickens processed using electrical and controlled atmosphere stunning systems Reprint Icon - (Peer Reviewed Journal)
Riggs, M., Hauck, R., Baker-Cook, B., Osborne, R., Pal, A., Bethonico Terra, M., Sims, G., Urrutia, A., Orellana-Galindo, L., Reina, M., Devillena, J., Bourassa, D. 2022. Meat quality of broiler chickens processed using electrical and controlled atmosphere stunning systems. Poultry Science. https://doi.org/10.1016/j.psj.2022.102422.

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., Le, W., 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., Zhang, F., 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.