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Identification of Paralytic Shellfish Algae by Three-Dimensional Fluorescence Spectral |
ZENG Wei-ji1, GOU Si-yu1, CAO Jie-ru1, JIANG Tian-jiu1*, BI Wei-hong2* |
1. Research Center of Harmful Algae and Marine Biology, Jinan University, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Guangzhou 510632, China
2. School of Information Science and Engineering, Yanshan University, The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, Qinhuangdao 066004, China |
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Abstract Using three-dimensional fluorescence spectroscopy technology, the relationship between three-dimensional fluorescence and toxicity of 5 strains of 4 microalgae species producing paralytic shellfish poisoning(PSP), which were Alexandrium minutum (Taiwan strain, AMSY), Alexandrium tamarense (Daya Bay strain, ATDY), Gymnodinium catenatum (Fangcheng Lane strain, GCFC), Alexandrium tamarense (Hong Kong strain, ATHK), Alexandrium catenella (South China Sea strain, ACSY), and 21 non-producing PSP microalgae species under different temperature conditions culture was studied. The results show that the toxin content of toxic algae per cell would change significantly under different temperature culture conditions and low temperature could promote the PSP production of toxic microalgae. By Db7 wavelet decomposition, the combined fluorescence spectrum of Ca3 scale components was selected as the characteristic spectrum and was used to establish the Fisher discrimination models, The combined fluorescence spectrum differences between toxic and non- toxic microalgae focused mainly on λex 400~425,450~545 nm and λem 715~750 nm bands. Using the Fisher discrimination models to dentification the toxic and non-toxic microalgae, the identification rate reached 93.7% and 93.3%, respectively, and the comprehensive discrimination rate was up to 93.5%. The method could be used to rapidly identify toxic microalgae in sea water and provide the theoretical basis for further developing toxic microalgae identification instruments.
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Received: 2020-12-27
Accepted: 2021-03-22
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Corresponding Authors:
JIANG Tian-jiu, BI Wei-hong
E-mail: tjiangtj@jnu.edu.cn; bwhong@ysu.edu.cn
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[1] Etheridge S M. Toxicon, 2010, 56(2): 108.
[2] CHEN Jin-zhong, HONG Shu-ping, CAI Mao-rong, et al(陈锦钟, 洪舒萍, 蔡茂荣, 等). Chinese Journal of Food Hygiene(中国食品卫生杂志), 2018, 30(4): 445.
[3] ZHANG Zhuo, LI Zheng-ju, JIANG Tian-jiu(张 卓, 李政菊, 江天久). Marine Environmental Science(海洋环境科学), 2018, 37(6): 808.
[4] Yen T L, Marco T, Rhiannon, et al. Science Advances, 2019, 5(6): 2650.
[5] Hong H, Lu J, Lin S, et al. Toxicon, 2020, 174: 1.
[6] HENG Qing-liu, HUANG Xiang, WU Ni(桓清柳, 黄 翔, 吴 霓). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2013, 33(2): 399.
[7] Zhang S F, Zhang Y, Lin L, et al. Marine Drugs, 2018, 16(12): 491.
[8] Aguilera-Belmonte A, Inostroza I, et al. Harmful Algae, 2013,23: 55.
[9] YE Zhi-lin, CAO Jie-ru, WU Ni(叶志林, 曹洁茹, 吴 霓). Marine Environmental Science(海洋环境科学), 2018, 37(3): 321.
[10] Wang D Z, Li C, Zhang Y, et al. Journal of Proteomics, 2012, 75(18): 5564.
[11] Wang D Z, Zhang S F, Zhang Y, et al. Journal of Proteomics, 2016, 135: 132.
[12] Adams N G, Robertson A, Grattan L M, et al. Harmful Algae. 2016, 57(B): 26.
[13] Ha D, Park D, Koo J, et al. Computers & Chemical Engineering, 2016, 94: 362.
[14] Anderson D M, Kulis D M, Qi Y Z, et al. Toxicon, 1996, 34(5): 579.
[15] Band-Schmidt C J, Bustillos-Guzman J J, et al. Toxicon, 2014, 90: 199.
[16] Ogata T, Ishimaru T, Kodama M, et al. Marine Biology, 1987, 95(2): 217.
[17] Tse S P K, Lee F W F, Mak D Y L, et al. Toxins, 2020, 12(8): 477. |
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