[1] [1] PALENUK C S, GROVES E, INSAN J, et al. Locating, identifying, and comparing sub-visible paint particles［J］. Journal of Forensic Sciences, 2019, 64(6): 1851-1858.

[2] [2] SASSONI E, DAMEN E, ROVERI N, et al. Durable self-cleaning coatings for architectural surfaces by incorporation of TiO2 nano-particles into hydroxyapatite films［J］. Materials, 2018, 11(2): 177.

[3] [3] ROCHIKASHVILI M, BONGAERTS J C. Multi-criteria decision-making for sustainable wall paints and coatings using analytic hierarchy process［J］. Energy Procedia, 2016, 96: 923-933.

[4] [4] MAGRINI D, BRACCI S, CANTISANI E, et al. A multi-analytical approach for the characterization of wall painting materials on contemporary buildings［J］. Spectrochimica Acta,2017,A173:39-45.

[5] [5] RAO F, CHEN Y, ZHAO X, et al. Enhancement of bamboo surface photostability by application of clear coatings containing a combination of organic/inorganic UV absorbers［J］. Progress in Organic Coatings, 2018, 124: 314-320.

[6] [6] GOERLINGER N. Chemical imaging of poplar wood cell walls by confocal raman microscopy［J］. Plant Physiology, 2006, 140(4): 1246-1254.

[7] [7] BOHLING A, BIELFELDT S, HIMMELMANN A, et al. Comparison of the stratum corneum thickness measuredin vivowith confocal Raman spectroscopy and confocal reflectance microscopy［J］. Skin Research and Technology, 2013, 20(1): 50-57.

[8] [8] CHEN S, ZHANG X, XU F. Study on the mechanism of dilute acid pretreatment of masson’s pine cell wall based on micro-Raman spectroscopy ［J］. Spectroscopy and Spectral Analysis, 2008, 38(7): 2136-2142(in Chinese).

[9] [9] HE H, SUN D W, PU H, et al. Applications of Raman spectroscopic techniques for quality and safety evaluation of milk: A review of recent developments［J］. Critical Reviews in Food Science and Nutrition, 2019, 59(5): 1-24.

[10] [10] PORTESI C, VISENTIN D, DURBIANO F, et al. Development of a rapid micro-Raman spectroscopy approach for detection of NIAS in LDPE pellets and extruded films for food packaging applications［J］. Polymer Testing, 2019, 80:106098.

[11] [11] PARRINO V, COSTA G, CANNAVA C, et al. Flow cytometry and micro-Raman spectroscopy: Identification of hemocyte populations in the mussel Mytilus galloprovincialis (Bivalvia: Mytilidae) from Faro Lake and Tyrrhenian Sea (Sicily, Italy) ［J］. Fish & Shellfish Immunology, 2019, 87: 1-8.

[12] [12] LAZAREVI J J, KUKOLI T, BUGARSKI D, et al. Probing primary mesenchymal stem cells differentiation status by micro-Raman spectroscopy［J］. Spectrochimica Acta, 2019, A213: 384-390.

[13] [13] SCHYMANSKI D, GOLDBECK C, HUMPF H U, et al. Analysis of microplastics in water by micro-Raman spectroscopy: Release of plastic particles from different packaging into mineral water［J］. Water Research, 2018, 129: 154-162.

[14] [14] COSANO D, ESQUIVEL D, COSTA C M, et al. Identification of pigments in the annunciation sculptural group (Cordoba, Spain) by micro-Raman spectroscopy[J]. Spectrochimica Acta, 2019, A214: 139-145.

[15] [15] LIU Zh J, HAN Y X, YANG R, et al. Microraman spectrometric analysis of pigments in ancient tomb murals in Ming dynasty［J］. Journal of Chinese Lasers, 2013, 40(6) : 0615003(in Chinese).

[16] [16] HE X L, WANG J F, YU J Y, et al. Study on laser Raman spectral identification of vehicle bumper based on discriminant analysis ［J］. Laser Journal, 209, 40(10): 21-25(in Chinese).

[17] [17] JI J H, WANG J F, WANG G X, et al. Raman spectrum identification of waterborne wood coating based on radial basis function［J］. Laser Technology, 2020,44(6):762-767(in Chinese).

[18] [18] WANG H, GU J, DI X, et al. Research on classification and recognition of attacking factors based on radial basis function neural network［J］. Cluster Computing, 2019, 22(3): 5573-5585.

[19] [19] HOU W, WANG J F. Rapid identification of the black marker ink based on infrared fingerprint spectroscopy［J］. Laser Technology,2020,44(4):436-440(in Chinese).

[20] [20] ZHANG Zh H, LIAO J B, LI Zh Y, et al. Rapid prediction of low permeability reservoir productivity level based on multi-layer perceptrons——a case study of chang 3, 4+5 reservoirs in Baibao-Nanliang area, Ordos basin ［J］. Advances in Geophysics, 2019, 34(5): 1962-1970(in Chinese).