Acta Optica Sinica, Volume. 41, Issue 20, 2024001(2021)

Multi-Component Substance Classification and Recognition Based on Surface-Enhanced Raman Spectroscopy

Hexuan Bai1,2, Feng Yang1,2, Danyang Li1,2, Yi Xu1,2, Shunbo Li1,2, and Li Chen1,2、*
Author Affiliations
  • 1Key Laboratory of Optoelectronic Technology & System, Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China;
  • 2Key Disciplines Laboratory of Novel Micro-Nano Devices and System Technology, Chongqing University, Chongqing 400044, China
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    References(25)

    [1] Nie X M, Chen Z Y, Tian Y P et al. Rapid detection of trace formaldehyde in food based on surface-enhanced Raman scattering coupled with assembled purge trap[J]. Food Chemistry, 340, 127930(2021).

    [2] Wang H B. Research progress on application of surface enhanced Raman spectroscopy in food detection[J]. Science and Technology of Food Industry, 40, 322-329(2019).

    [3] Wang Q, Zeng W D, Xia Z P et al. Recognition of food-borne pathogenic bacteria by Raman spectroscopy based on random forest algorithm[J]. Chinese Journal of Lasers, 48, 0311002(2021).

    [4] Liu S S, Li H H, Hassan M M et al. SERS based artificial peroxidase enzyme regulated multiple signal amplified system for quantitative detection of foodborne pathogens[J]. Food Control, 123, 107733(2021).

    [5] Wang T Y, Wang Y Y, Lin X L et al. Ultrasensitive quantitative detection of alpha-fetoprotein based on SERS spectroscopy[J]. Chinese Journal of Lasers, 47, 0207026(2020).

    [6] Hu D Y, Xu X S, Zhao Z Y et al. Detecting urine metabolites of bladder cancer by surface-enhanced Raman spectroscopy[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 247, 119108(2021).

    [7] Nargis H F, Nawaz H, Bhatti H N et al. Comparison of surface enhanced Raman spectroscopy and Raman spectroscopy for the detection of breast cancer based on serum samples[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 246, 119034(2021).

    [8] Dong R L, Li S F, Lin D Y et al. Progress of the applications of surface-enhanced Raman spectroscopy in illicit drug detection[J]. Scientia Sinica (Chimica), 51, 294-309(2021).

    [9] Wu J J, Feng Y, Zhang L et al. Nanocellulose-based surface-enhanced Raman spectroscopy sensor for highly sensitive detection of TNT[J]. Carbohydrate Polymers, 248, 116766(2020).

    [10] Li N, Han S, Zhao H et al. Study on rapid detection of illegal dye in cinnabar with paper-based SERS substrate[J]. The Journal of Light Scattering, 31, 242-248(2019).

    [11] Zuo Q, Chen Y, Shi C X et al. Recent developments on quantitative surface-enhanced Raman spectroscopic techniques[J]. Chinese Journal of Analytical Chemistry, 43, 1656-1663(2015).

    [12] Lin L. The qualitative and quantitative analysis of pesticide residue in tea using surface-enhanced Raman spectroscopy (SERS)[D]. Nanchang: Jiangxi Agricultural University(2014).

    [13] Liu C Z, Zhu Q B, Huang M et al. Identification of components in mixtures based on Raman spectroscopy[J]. Laser & Optoelectronics Progress, 56, 083004(2019).

    [14] Ji M Q, Zhu Q B, Huang M et al. Method for improving identification accuracy of components in mixtures using Raman spectra of known mixtures[J]. Chinese Journal of Lasers, 47, 1111001(2020).

    [15] Chen Y, Yan X, Zhang X et al. Surface-enhanced Raman spectroscopy quantitative analysis of polycyclic aromatic hydrocarbons based on support vector machine algorithm[J]. Chinese Journal of Lasers, 46, 0311005(2019).

    [16] Hu X, Wu R M, Zhu X Y et al. Fast detection of chlorpyrifos residues in tea via surface-enhanced Raman spectroscopy combined with two-dimensional correlation spectroscopy[J]. Acta Optica Sinica, 39, 0730001(2019).

    [17] Fu X H, Zhao F, Wang Z X et al. Quantitative analysis of goat serum protein content by Raman spectroscopy based on IABC-SVR[J]. Spectroscopy and Spectral Analysis, 41, 540-545(2021).

    [18] Zhang Y J, Zhang F C, Fu X H et al. Detection of fatty acid content in mixed oil by Raman spectroscopy based on ABC-SVR algorithm[J]. Spectroscopy and Spectral Analysis, 39, 2147-2152(2019).

    [19] Zhang B, Deng Z Y, Zheng J K et al. Determination of gasoline composition based on Raman spectroscopy[J]. Spectroscopy and Spectral Analysis, 35, 1577-1581(2015).

    [20] Meyer B[M]. Object oriented software construction(1988).

    [21] Yang W, Li Q Q. Survey on particle swarm optimization algorithm[J]. Engineering Science, 6, 87-94(2004).

    [22] Yang F, Wen P, Zhang Z Q et al. Fabrication of flexible surface-enhanced Raman spectroscopy chip[J]. Chinese Journal of Lasers, 48, 0113001(2021).

    [23] Zhang Z M, Chen S, Liang Y Z. Baseline correction using adaptive iteratively reweighted penalized least squares[J]. The Analyst, 135, 1138-1146(2010).

    [24] Tang R Z. Research on the method of data normalization for improving SVM training efficiency[D]. Jinan: Shandong Normal University(2017).

    [25] Gu Y P, Zhao W J, Wu Z S. Least squares support vector machine algorithm[J]. Journal of Tsinghua University (Science and Technology), 50, 1063-1066, 1071(2010).

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    Hexuan Bai, Feng Yang, Danyang Li, Yi Xu, Shunbo Li, Li Chen. Multi-Component Substance Classification and Recognition Based on Surface-Enhanced Raman Spectroscopy[J]. Acta Optica Sinica, 2021, 41(20): 2024001

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    Paper Information

    Category: Optics at Surfaces

    Received: Apr. 8, 2021

    Accepted: May. 10, 2021

    Published Online: Sep. 30, 2021

    The Author Email: Chen Li (CL2009@cqu.edu.cn)

    DOI:10.3788/AOS202141.2024001

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