• Laser & Optoelectronics Progress
  • Vol. 57, Issue 13, 133001 (2020)
Xinyi Cao1, Shangzhong Jin1、2、*, Bin Hou1, Zhihui Chen1, and Yun Wang1
Author Affiliations
  • 1College of Optical and Electronic Technology, China Jiliang University, Hangzhou, Zhejiang 310018, China
  • 2Key Laboratory of Zhejiang Province on Modern Measurement Technology and Instruments, Hangzhou, Zhejiang 310018, China
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    DOI: 10.3788/LOP57.133001 Cite this Article Set citation alerts
    Xinyi Cao, Shangzhong Jin, Bin Hou, Zhihui Chen, Yun Wang. Pollen Detection and Classification Method via Raman Spectroscopy[J]. Laser & Optoelectronics Progress, 2020, 57(13): 133001 Copy Citation Text show less
    References

    [1] Long L, Zhao X L, Tan H et al. Research progress on the influence of airborne pollen and atmospheric particles[J]. Environmental Science & Technology, 40, 112-118(2017).

    [2] Xie Y H, Xu Z F. A Fourier descriptor based on Zernike invariant moments in spherical coordinates for 3D pollen image recognition. [C]//2015 8th International Conference on Biomedical Engineering and Informatics (BMEI), October 14-16, 2015, Shenyang, China. New York: IEEE, 15787627(2015).

    [3] Pappas C S, Tarantilis P A, Harizanis P C et al. New method for pollen identification by FT-IR spectroscopy[J]. Applied Spectroscopy, 57, 23-27(2003).

    [4] Guedes A, Ribeiro H, Fernández-González M et al. Pollen Raman spectra database: application to the identification of airborne pollen[J]. Talanta, 119, 473-478(2014).

    [5] Ivleva N P, Niessner R, Panne U. Characterization and discrimination of pollen by Raman microscopy[J]. Analytical and Bioanalytical Chemistry, 381, 261-267(2005).

    [6] Li W J, Gao S P, Lei T et al. Flowering biological characteristics and pollen preservation of Plumbago auriculata[J]. Plant Sclence Journal, 35, 874-883(2017).

    [7] Kong K, Kendall C, Stone N et al. Raman spectroscopy for medical diagnostics: from in-vitro biofluid assays to in-vivo cancer detection[J]. Advanced Drug Delivery Reviews, 89, 121-134(2015).

    [8] Jiang Y, Yang Y[J]. Rational parameter selection of confocal Raman instrument Analytical Instrumentation, 2013, 50-53.

    [9] Zhu L L, Feng A M, Jin S Z et al. Fluorescence suppression methods in Raman spectroscopy detection and their application analysis[J]. Laser & Optoelectronics Progress, 55, 090005(2018).

    [10] Li Y H, Lü X Y, Hu F L et al. Trend and status quo of research on pollen components[J]. Chinese Journal of Modern Applied Pharmacy, 23, 613-615(2006).

    [11] Wei N, Feng X Q, Zhang X F et al. Research progress in Raman spectra and its test sample pretreatment[J]. Spectroscopy and Spectral Analysis, 33, 694-698(2013).

    [12] Schulte F, Lingott J, Panne U et al. Chemical characterization and classification of pollen[J]. Analytical Chemistry, 80, 9551-9556(2008).

    [13] Maquelin K, Kirschner C, Choo-Smith L et al. Identification of medically relevant microorganisms by vibrational spectroscopy[J]. Journal of Microbiological Methods, 51, 255-271(2002).

    [14] Maquelin K. Choo-Smith L P, van Vreeswijk T, et al. Raman spectroscopic method for identification of clinically relevant microorganisms growing on solid culture medium[J]. Analytical Chemistry, 72, 12-19(2000).

    [15] Schuster K C, Reese I, Urlaub E et al. Multidimensional information on the chemical composition of single bacterial cells by confocal Raman microspectroscopy[J]. Analytical Chemistry, 72, 5529-5534(2000).

    [16] Willis R C. Classifying pollen with Raman[J]. Analytical Chemistry, 81, 4(2009).

    [17] Seifert S, Merk V, Kneipp J. Identification of aqueous pollen extracts using surface enhanced Raman scattering (SERS) and pattern recognition methods[J]. Journal of Biophotonics, 9, 181-189(2016).

    [18] Schulte F. M a¨der J, Kroh L W, et al. Characterization of pollen carotenoids with in situ and high-performance thin-layer chromatography supported resonant Raman spectroscopy[J]. Analytical Chemistry, 81, 8426-8433(2009).

    Xinyi Cao, Shangzhong Jin, Bin Hou, Zhihui Chen, Yun Wang. Pollen Detection and Classification Method via Raman Spectroscopy[J]. Laser & Optoelectronics Progress, 2020, 57(13): 133001
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