Spectroscopy and Spectral Analysis, Volume. 44, Issue 2, 392(2024)
A Novel Classification Method of Foodborne Bacterial Species Based on Hyperspectral Microscopy Imaging Technology
[1] [1] Li Yongqiang, Huang Yaling, Yang Jijun, et al. BMC Public Health, 2018, 18(1): 519.
[2] [2] Li Weiwei, Pires Sara M, Liu Zhitao, et al. Food Control, 2020, 118: 107359.
[4] [4] Tang Yanjie, Kim Huisung, Singh K Atul, et al. PLOS ONE, 2014, 9(8): 105272.
[5] [5] Windham William R, Yoon Seung-Chul, Ladely Scott R, et al. Journal of Food Protection, 2013, 76(7): 1129.
[6] [6] Bhardwaj Neha, Bhardwaj Sanjeev K, Nayak Manoj K, et al. TrAC Trends in Analytical Chemistry, 2017, 97(1): 120.
[7] [7] Kang Rui, Park Bosoon, Chen Kunjie. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2020, 224: 117386.
[8] [8] Kang Rui, Park Bosoon, Eady Matthew, et al. Sensors and Actuators B: Chemical, 2020, 309: 127789.
[9] [9] Zimbro M J, Power D A. DIFCO and BBL Manual: Manual of Microbiological Culture Media, 2nd ed. Becton Dickinson & Company, Sparks, MD, USA, 2009.
[10] [10] Eady Matthew, Setia Gayatri, Park Bosoon. Talanta, 2019, 195: 313.
[11] [11] Kang Rui, Park Bosoon, Eady Matthew, et al. Applied Microbiology and Biotechnology, 2020, 104(7): 3157.
[12] [12] Kang Rui, Park Bosoon, Ouyang Qin, et al. Food Control, 2021, 130: 108379.
Get Citation
Copy Citation Text
KANG Rui, CHENG Ya-wen, ZHOU Ling-li, REN Ni. A Novel Classification Method of Foodborne Bacterial Species Based on Hyperspectral Microscopy Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2024, 44(2): 392
Received: Jun. 30, 2022
Accepted: --
Published Online: Aug. 5, 2024
The Author Email: Ni REN (rn@jaas.ac.cn)