• Laser & Optoelectronics Progress
  • Vol. 59, Issue 5, 0530003 (2022)
Runzhou Lu1, Hong Jiang1、*, Ji Man2, Juan Chen3, Bin Duan4, and Feng Liu4
Author Affiliations
  • 1College of Investigation, People's Public Security University of China, Beijing 100038, China
  • 2Beijing Huayi Hongsheng Technology Co., Ltd., Beijing 100123, China
  • 3Shanghai Oceanhood Opto-Electronics Tech Co., Ltd., Shanghai 201299, China
  • 4Nanjing Jianzhi Instrument and Equipment Co., Ltd., Nanjing , Jiangsu 210049, China
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    DOI: 10.3788/LOP202259.0530003 Cite this Article Set citation alerts
    Runzhou Lu, Hong Jiang, Ji Man, Juan Chen, Bin Duan, Feng Liu. Classification of Cigarette Cases by X-Ray Fluorescence Spectrometry Combined with Differential Raman Spectroscopy[J]. Laser & Optoelectronics Progress, 2022, 59(5): 0530003 Copy Citation Text show less
    References

    [1] Zhou Z. The importance of traditional evidence of material evidence by investigating a burglary case[J]. Legality Vision, 123(2016).

    [2] Chen Z H, Li J Q, Zhao Z L et al. Establishment and application of testing method for fluorescence based soft X-ray absorption spectrum[J]. Acta Optica Sinica, 39, 0330002(2019).

    [3] Lü Q H, Wang X H, Shen A G et al. Application of Raman spectroscopy techniques in on-site fast detection[J]. Journal of Instrumental Analysis, 38, 612-617(2019).

    [4] Li C Y, Liu J K, Jiang H et al. Identification of X-ray fluorescent spectral paper ashes based on support vector machine algorithm[J]. Laser & Optoelectronics Progress, 58, 032801(2021).

    [5] Fu J Z, Jiang H, Liu F et al. Discrimination of cigarette tipping paper by differential Raman spectroscopy combined with system clustering[J]. Chemical Research and Application, 32, 1973-1978(2020).

    [6] Guo P, Jiang H. A study on analysis of inner liner for cigarette by Raman[J]. China Pulp & Paper Industry, 37, 53-58(2016).

    [7] Zhen X Y, Zheng C, Pi Z F et al. Study on a quality control method for Mongolian medicine magnetite based on inductively coupled plasma mass spectrometry combined with infrared spectroscopy and X-ray diffraction[J]. Journal of Instrumental Analysis, 40, 112-118(2021).

    [8] Zhu X H, Jiang H. X-ray fluorescence spectrometry combined with Raman spectroscopy analysis for disposable plastic shoe covers[J]. Chemical Research and Application, 31, 1927-1930(2019).

    [9] Fang G, Yin L, Liu F et al. Application research of fluorescence suppression based on differential Raman technique[J]. Laser Technology, 43, 359-362(2019).

    [10] Ma X, Jiang H, Yang J Q. Examination of plastic pack belts(ropes) via X-ray fluorescence spectrometry combined with multivariate statistical analysis[J]. Laser & Optoelectronics Progress, 56, 223005(2019).

    [11] Zhang N N, Sun S J, Zhang Y J. Application of unascertained clustering in patent quality evaluation[J]. Modern Electronics Technique, 43, 143-146(2020).

    [12] Zhang N N. Comprehensive evaluation of patent quality based on unascertained clustering[D](2020).

    [13] Ma J F, Yang S M, Tian G L et al. Study on the application of Raman spectroscopy to the research on natural cellulose structure[J]. Spectroscopy and Spectral Analysis, 36, 1734-1739(2016).

    [14] Cao X Y, Jin S Z, Hou B et al. Pollen detection and classification method via Raman spectroscopy[J]. Laser & Optoelectronics Progress, 57, 133001(2020).

    [15] Yin B. A new method to determine the number of principal component extraction[J]. Statistics & Decision, 8-10(2010).

    [16] Zhu X H, Hu Y N, He X Y et al. Detection of disposable paper cup by Raman spectroscopy and PCA[J]. China Pulp & Paper, 39, 38-42(2020).

    [17] Song H S, Ma L Z, Wang Y F et al. Recognition of formaldehyde, methanol based on PCA-BP neural network[J]. Laser & Optoelectronics Progress, 57, 071201(2020).

    [18] Wang X H. An automatic approach to solving clustering problems with the number of clusters unknown based on the particle swarm optimization and silhouette coefficient[J]. Journal of Yunnan Minzu University (Natural Sciences Edition), 25, 367-371(2016).

    [19] Jin X, Zhu X Z, Li S W et al. Predicting soil available phosphorus by hyperspectral regression method based on gradient boosting decision tree[J]. Laser & Optoelectronics Progress, 56, 131102(2019).

    [20] Iwabuchi Y, Kameyama M, Matsusaka Y et al. A diagnostic strategy for Parkinsonian syndromes using quantitative indices of DAT SPECT and MIBG scintigraphy: an investigation using the classification and regression tree analysis[J]. European Journal of Nuclear Medicine and Molecular Imaging, 48, 1833-1841(2021).

    [21] He Y, Wang J F. Rapid nondestructive identification of wood lacquer using Raman spectroscopy based on characteristic-band-Fisher-K nearest neighbor[J]. Laser & Optoelectronics Progress, 57, 013001(2020).

    [22] Li X R, Hu Z Y, Zhao Y H. Supervised feature extraction based on FDA and galaxy spectra classification[J]. Spectroscopy and Spectral Analysis, 27, 1898-1901(2007).

    [23] Yan W J, Wei C J, Fan L Y et al. Study on microscopic laser Raman spectroscopy of automobile lampshade based on Fisher discriminant-support vector machine[J]. China Plastics, 35, 124-129(2021).

    [24] Fu J Z, Jiang H, Li Y et al. Examination of cigarette ash evidence by XRF combined with chemometrics[J]. Laser & Optoelectronics Progress, 58, 063003(2021).

    [25] Zhu X H, Jiang H, Cui A S et al. Spectrum identification of disposable plastic gloves based on Fisher discriminant analysis[J]. China Plastics Industry, 48, 108-112, 116(2020).

    Runzhou Lu, Hong Jiang, Ji Man, Juan Chen, Bin Duan, Feng Liu. Classification of Cigarette Cases by X-Ray Fluorescence Spectrometry Combined with Differential Raman Spectroscopy[J]. Laser & Optoelectronics Progress, 2022, 59(5): 0530003
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