• Laser & Optoelectronics Progress
  • Vol. 56, Issue 4, 043003 (2019)
Rujin Shi1, Fanzeng Xia2, Wandan Zeng1、*, and Han Qu3
Author Affiliations
  • 1 School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai 201418, China
  • 2 College of Software, Jilin University, Changchun, Jilin 130122, China
  • 3 Jilin Provincial Key Laboratory for Disease Prevention and Control, Institution of Military Veterinary, Academy of Military Medical Sciences, Changchun, Jilin 130122, China
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    DOI: 10.3788/LOP56.043003 Cite this Article Set citation alerts
    Rujin Shi, Fanzeng Xia, Wandan Zeng, Han Qu. Raman Spectroscopic Classification of Foodborne Pathogenic Bacteria Based on PCA-Stacking Model[J]. Laser & Optoelectronics Progress, 2019, 56(4): 043003 Copy Citation Text show less
    References

    [1] Teng Y H, Suo B, Ai Z L et al. Establishment and application of a multiplex PCR assay for simultaneous detection of salmonella spp. and staphylococcus aureus in quick-frozen foods[J]. Food Science, 34, 140-144(2013).

    [2] Kim J S, Lee G G, Park J S et al. A novel multiplex PCR assay for rapid and simultaneous detection of five pathogenic bacteria: Escherichia coli O157∶H7, Salmonella, Staphylococcus aureus, Listeria monocytogenes, and Vibrio parahaemolyticus[J]. Journal of Food Protection, 70, 1656-1662(2007).

    [3] Zhang Y, Zhu L Q, Zhang Y T et al. Simultaneous detection of three foodborne pathogenic bacteria in food samples by microchip capillary electrophoresis in combination with polymerase chain reaction[J]. Journal of Chromatography A, 1555, 100-105(2018). http://europepmc.org/abstract/MED/29724645

    [4] Gong Q, Li Z L, Niu M F. A pilot study on PCR-based detection of four foodborne pathogenic microorganisms[J]. Journal of Food Measurement and Characterization, 12, 675-682(2018). http://link.springer.com/article/10.1007%2Fs11694-017-9680-5

    [5] Gao W C, Li B, Wang X W et al. Quick detection of five foodborne pathogenic bacteria based on surface enhanced Raman spectroscopy[J]. Journal of Jilin Agricultural University, 39, 733-737(2017).

    [6] Wang Y T, Qu H, Hao L Y et al. Devising a rapid and efficient method of detecting Escherichia coli O157∶ H7 based on aptamer-mediated surface-enhanced Raman spectroscopy(SERS)[J]. Journal of Pathogen Biology, 13, 16-21(2018).

    [7] He X L, Chen L B, Wang J F et al. Raman spectroscopy analysis of plastic steel window based on K nearest neighbors algorithm[J]. Laser & Optoelectronics Progress, 55, 053001(2018).

    [8] Guo L B, Chen G N, Liu M Y. Analysis of biological tissue Raman spectroscopy data based on support vector machine algorithm[J]. Fu Lighting Technology, 25, 25-27(2014).

    [9] Zheng J W, Yang T W. Classification method of biological tissues based on Raman spectrum features[J]. Laser & Optoelectronics Progress, 54, 053001(2017).

    [10] Zhang H, Wang Q J, Zhu J J et al. Influence of sample data preprocessing on BP neural network-based GPS elevation fitting[J]. Journal of Geodesy and Geodynamics, 31, 125-128(2011).

    [11] Fang X Q, Peng Y K, Li Y Y et al. Rapid and quantitative detection method of sodium benzoate in carbonated beverage based on surface-enhanced Raman spectroscopy[J]. Acta Optica Sinica, 37, 0930001(2017).

    [12] Ma R, Wang Q, Chu D Z et al. Study on a photoelectric signal processing method for the DOC online analyzer[J]. Journal of Ocean Technology, 35, 44-49(2016).

    [13] Liu X H, Tan Q P, Zeng P et al. Comparison and implementation of several MOOC-based text classification[J]. Computer Engineering & Software, 37, 27-33(2016).

    [14] Song Limei, Luo J[M]. Pattern recognition(2015).

    [15] Wei X P, Yu X C, Tan X et al. A classification algorithm for hyperspectral images based on import vector machine[J]. Journal of Geomatics Science and Technology, 32, 379-383(2015).

    [16] Wolpert D H. Stacked generalization[J]. Neural Networks, 5, 241-259(1992).

    [17] Aggarwal C C[M]. Data classification: Algorithms and applications(2014).

    Rujin Shi, Fanzeng Xia, Wandan Zeng, Han Qu. Raman Spectroscopic Classification of Foodborne Pathogenic Bacteria Based on PCA-Stacking Model[J]. Laser & Optoelectronics Progress, 2019, 56(4): 043003
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