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 will take you to the publication reprint.)

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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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 - (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.