APPLIED LASER, Volume. 44, Issue 3, 192(2024)
Application Progress of Spectral Analysis Combined with Chemometrics in Forensic Identification、
[1] [1] OTT C E, PEREZ ESTEBANEZ M, HERNANDEZ S, et al. Forensic identification of fentanyl and its analogs by electrochemical surface enhanced Raman spectroscopy (EC SERS) for the screening of seized drugs of abuse[J]. Frontiers in Analytical Science, 2022, 2: 834820.
[2] [2] JGER A C, ALVAREZ M L, DAVIS C P, et al. Developmental validation of the MiSeq FGx forensic genomics system for targeted next generation sequencing in forensic DNA casework and database laboratories[J]. Forensic Science International: Genetics, 2017, 28: 52 70.
[3] [3] KUMAR R, SHARMA V. Chemometrics in forensic science[J]. TrAC Trends in Analytical Chemistry, 2018, 105: 191 201.
[4] [4] ARORA T, VERMA R, KUMAR R, et al. Chemometrics based ATR FTIR spectroscopy method for rapid and non destructive discrimination between eyeliner and mascara traces[J]. Microchemical Journal, 2021, 164: 106080.
[5] [5] LI F J, ZHANG J Y, WANG Y Z. Vibrational spectroscopy combined with chemometrics in authentication of functional foods[J]. Critical Reviews in Analytical Chemistry, 2022: 1 22.
[6] [6] QI D W, ZHOU Y, WANG J L, et al. Determination of volatiles in flue cured tobacco by gas chromatography mass spectrometry (GC MS) with chemometrics[J]. Analytical Letters, 2022, 55(9): 1398 1411.
[7] [7] BEDIAGA H, MORENO M I, ARRASATE S, et al. Multi output chemometrics model for gasoline compounding[J]. Fuel, 2022, 310: 122274.
[8] [8] PINTO V S. Use of 1H nuclear magnetic resonance and chemometrics to detect the percentage of ethanol anhydrous in Brazilian type C premium gasoline[J]. Fuel, 2020, 276: 118015.
[9] [9] ALVES F C G B S, VALDERRAMA P. Ultraviolet spectroscopy and supervised pattern recognition methods for authentication of transgenic and non transgenic soybean oils[J]. Analytical Methods, 2015, 7(22): 9702 9706.
[10] [10] TANG G, TIAN K D, SONG X Z, et al. Comparison of several supervised pattern recognition techniques for detecting additive methamidophos in rotenone preparation by near infrared spectroscopy[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2014, 121: 678 684.
[11] [11] GARCIA ALLENDE P B, CONDE O M, MIRAPEIX J, et al. Quality control of industrial processes by combining a hyperspectral sensor and Fisher′s linear discriminant analysis[J]. Sensors and Actuators B: Chemical, 2008, 129(2): 977 984.
[12] [12] ARENDRA A, HERIANTO H, AKHMAD S, et al. Dimensions reduction of vibration signal features using LDA and PCA for real time tool wear detection with single layer perceptron[J]. IOP Conference Series: Materials Science and Engineering, 2021, 1125(1): 012052.
[13] [13] SPOLADORE S F, BRGIDA DOS SANTOS SCHOLZ M, BONA E. Genotypic classification of wheat using near infrared spectroscopy and PLS DA[J]. Applied Food Research, 2021, 1(2): 100019.
[14] [14] ESAN D, OWOLAWI P A, TU C. Anomalous detection in noisy image frames using cooperative median filtering and KNN[J]. IAENG International Journal of Computer Science, 2022, 49(1).
[15] [15] SUHANDY D, YULIA M, KUROKI S, et al. The use of SIMCA method and NIR spectroscopy with hand held spectrometers equipped with integrating sphere for classification of two different Indonesian specialty coffees[J]. Journal of Physics: Conference Series, 2021, 1751(1): 012080.
[16] [16] SATGUNALINGAM V, THANEESHAN R. Automatic paddy leaf disease detection based on GLCM using multiclass support vector machine[J]. International Journal of Computer (IJC), 2020, 39(1): 97 106.
[17] [17] TONG X, YU S, WANG L H. Establishment of micropit diameter prediction models based on the support vector machine optimization[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, 234(12): 2417 2431.
[18] [18] CAI Z H, ZUO C S, ZHU J Y, et al. Classification and application of tight gas wells based on cluster analysis[C]// Proceedings of 2021 5th International Conference on Electrical,Automation and Mechanical Engineering(EAME2021). Guangzhou: [s.n.], 2021:723 729.
[19] [19] DAWID A P, MORTERA J. Coherent analysis of forensic identification evidence[J]. Journal of the Royal Statistical Society: Series B (Methodological), 1996, 58(2): 425 443.
[20] [20] TOMAR A, GUPTA R R, MEHTA S K, et al. A chronological overview of analytical techniques in forensic identification of printing toners[J]. TrAC Trends in Analytical Chemistry, 2021, 144: 116450.
[21] [21] HE P, WU Y, WANG J, et al. Detection of mites tyrophagus putrescentiae and cheyletus eruditus in flour using hyperspectral imaging system coupled with chemometrics[J]. Journal of Food Process Engineering, 2020, 43(6): e13386.
[22] [22] SILVA C S, PIMENTEL M F, AMIGO J M, et al. Chemometric approaches for document dating: Handling paper variability[J]. Analytica Chimica Acta, 2018, 1031: 28 37.
[23] [23] CARNEIRO C R, SILVA C S, DE CARVALHO M A, et al. Identification of luminescent markers for gunshot residues: Fluorescence, Raman spectroscopy, and chemometrics[J]. Analytical Chemistry, 2019, 91(19): 12444 12452.
[24] [24] NASONOVA A, LEVY G J, RINOT O, et al. Organic matter in aqueous soil extracts: Prediction of compositional attributes from bulk soil mid IR spectra using partial least square regressions[J]. Geoderma, 2022, 411: 115678.
[25] [25] BAI C L, LIU L Y, HU Y B, et al. Microplastics: A review of analytical methods, occurrence and characteristics in food, and potential toxicities to biota[J]. Science of the Total Environment, 2022, 806: 150263.
[26] [26] GEHRTZ P, LONDON N. Electrophilic natural products as drug discovery tools[J]. Trends in Pharmacological Sciences, 2021, 42(6): 434 447.
[27] [27] SONG J, HU M H, WANG J S, et al. ALK positive lung cancer identification and targeted drugs evaluation using microscopic hyperspectral imaging technique[J]. Infrared Physics & Technology, 2019, 96: 267 275.
[28] [28] APPELL M, COMPTON D L, BOSMA W B. Raman spectral analysis for rapid determination of zearalenone and alpha zearalanol[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022, 270: 120842.
[29] [29] WANG H Q, ZHU H J, ZHAO Z, et al. The study on increasing the identification accuracy of waxed apples by hyperspectral imaging technology[J]. Multimedia Tools and Applications, 2018, 77(20): 27505 27516.
[30] [30] LANZAROTTA A, WITKOWSKI M, BATSON J. Identification of opioids and related substances using handheld Raman spectrometers[J]. Journal of Forensic Sciences, 2020, 65(2): 421 427.
[31] [31] LIU C M, XU L, HE H Y, et al. Discrimination of phenethylamine regioisomers and structural analogues by Raman spectroscopy[J]. Journal of Forensic Sciences, 2021, 66(1): 365 374.
[32] [32] OMAR J, SLOWIKOWSKI B, GUILLOU C, et al. Identification of new psychoactive substances (NPS) by Raman spectroscopy[J]. Journal of Raman Spectroscopy, 2019, 50(1): 41 51.
[33] [33] BEDWARD T M, XIAO L D, FU S L. Application of Raman spectroscopy in the detection of cocaine in food matrices[J]. Australian Journal of Forensic Sciences, 2019, 51(2): 209 219.
[34] [34] BRAZ A, SANTOS SILVA C, PEIXOTO A C, et al. Preliminary study on the identification of synthetic cathinones in street seized samples by Raman spectroscopy and chemometrics[J]. Journal of Raman Spectroscopy, 2021, 52(4): 901 913.
[35] [35] METTERNICH S, FISCHMANN S, MNSTER MLLER S, et al. Discrimination of synthetic cannabinoids in herbal matrices and of cathinone derivatives by portable and laboratory based Raman spectroscopy[J]. Forensic Chemistry, 2020, 19: 100241.
[36] [36] ELMASRY G, BARBIN D F, SUN D W, et al. Meat quality evaluation by hyperspectral imaging technique: An overview[J]. Critical Reviews in Food Science and Nutrition, 2012, 52(8): 689 711.
[37] [37] BAIANO A. Applications of hyperspectral imaging for quality assessment of liquid based and semi liquid food products: A review[J]. Journal of Food Engineering, 2017, 214: 10 15.
[38] [38] AMARAL M A, GIBSON A P, MORGAN R M. Trace evidence dynamics of cocaine on banknotes: A comparison study of paper and polymer banknotes[J]. Science & Justice, 2022, 62(2): 221 228.
[39] [39] SCOTT K R, JONES V J, CAMERON N G, et al. Freshwater diatom persistence on clothing I: A quantitative assessment of trace evidence dynamics over time[J]. Forensic Science International, 2021, 325: 110898.
[40] [40] BITTER J, STAYMATES M, FLETCHER R. Examining third hand smoke from illicit drugs as a potential source of recoverable trace evidence[J]. Abstracts of Papers of the American Chemical Society, 2015, 250.
[41] [41] BURNIER C, FAVRE V, MASSONNET G. The use of an optimized DRIFTS FTIR method for the forensic analysis and classification of silicone condom lubricants[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2021, 261: 120025.
[42] [42] SIGMAN M E, WILLIAMS M R. Chemometric applications in fire debris analysis[J]. Wiley Interdisciplinary Reviews: Forensic Science, 2020, 2(5): e1368.
[43] [43] SKOBEEVA S, BANYARD A, ROONEY B, et al. Near infrared spectroscopy combined with chemometrics to classify cosmetic foundations from a crime scene[J]. Science & Justice, 2022, 62(3): 327 335.
[44] [44] MARIC M, VAN BRONSWIJK W, PITTS K, et al. Characterisation and classification of automotive clear Coats with Raman spectroscopy and chemometrics for forensic purposes[J]. Journal of Raman Spectroscopy, 2016, 47(8): 948 955.
[45] [45] TELFORD C J, BURROWS B A, SAUZIER G, et al. Classification of polyethylene cling films by attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics[J]. Analytical Methods, 2017, 9(2): 192 197.
[46] [46] SCHOTSMANS E M J, WILSON A S, BRETTELL R, et al. Raman spectroscopy as a non destructive screening technique for studying white substances from archaeological and forensic burial contexts[J]. Journal of Raman Spectroscopy, 2014, 45(11/12): 1301 1308.
[47] [47] GALVN I, JORGE A, SOLANO F, et al. Vibrational characterization of pheomelanin and trichochrome F by Raman spectroscopy[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2013, 110: 55 59.
[48] [48] CHEN Y Z, XU Z Y, TANG W C, et al. Identification of various food residuals on denim based on hyperspectral imaging system and combination optimal strategy[J]. Artificial Intelligence in Agriculture, 2021, 5: 125 132.
[49] [49] FERREIRA SILVA B, PORTO M J, MAGALHES T, et al. Contribution to the development of guidelines in the analysis of biological evidence in sexual assault investigations[J]. Journal of Forensic Sciences, 2019, 64(2): 534 538.
[50] [50] BACON C D, SILVESTRO D, JARAMILLO C, et al. Biological evidence supports an early and complex emergence of the isthmus of panama[J]. Proceedings of the National Academy of Sciences, 2015, 112(19): 6110 6115.
[51] [51] PENNEY S R, MCLAREN S, WILKIE T. Urine drug screening in a forensic mental health population: Frequency and clinical utility in risk management[J]. The Journal of Forensic Psychiatry & Psychology, 2021, 32(4): 431 448.
[52] [52] MATOBA K, MURAKAMI M, FUJITA E, et al. The usefulness of measuring n butyric acid concentration as a new indicator of blood decomposition in forensic autopsy[J]. Legal Medicine (Tokyo, Japan), 2022, 57: 102071.
[53] [53] VAN DEN BERGE M, SIJEN T. Development of a combined differential DNA/RNA co extraction protocol and its application in forensic casework[J]. Forensic Science International: Reports, 2022, 5: 100261.
[54] [54] DAS S, TEOH S L. MicroRNAs in various body fluids and their importance in forensic medicine[J]. Mini Reviews in Medicinal Chemistry, 2022, 22(18): 2332 2343.
[55] [55] BOLL M S, DOTY K C, WICKENHEISER R, et al. Differentiation of hair using ATR FT IR spectroscopy: A statistical classification of dyed and non dyed hairs[J]. Forensic Chemistry, 2017, 6: 1 9.
[56] [56] SHARMA S, SINGH R. Detection and discrimination of seminal fluid using attenuated total reflectance Fourier transform infrared (ATR FT IR) spectroscopy combined with chemometrics[J].International Journal of Legal Medicine, 2020, 134(2): 411 432.
[57] [57] SHARMA S, CHOPHI R, SINGH R. Forensic discrimination of menstrual blood and peripheral blood using attenuated total reflectance (ATR) Fourier transform infrared (FT IR) spectroscopy and chemometrics[J].International Journal of Legal Medicine, 2020, 134(1): 63 77.
[58] [58] PASSOS J O S, DOS SANTOS ALVES M V, MORAIS C L M, et al. Spectrochemical analysis in blood plasma combined with subsequent chemometrics for fibromyalgia detection[J]. Scientific Reports, 2020, 10(1): 1 8.
[59] [59] HUI T X, MOHAMAD K M, RAHMAN N H A. myEntropy: A file type identification tool using entropy scoring[J]. International Journal of Electronic Security and Digital Forensics, 2022, 14(1): 76.
[60] [60] SESTER J, HAYES D, SCANLON M, et al. A comparative study of support vector machine and neural networks for file type identification using n gram analysis[J]. Forensic Science International: Digital Investigation, 2021, 36: 301121.
[61] [61] BIN SALLEH S, MAJIDI M, CHIZARI H, et al. Computer forensic problem of sample size in file type analysis[J]. International Journal of Advanced Intelligence Paradigms, 2018, 11(1/2): 58.
[62] [62] KUMARI L, SINGH P, GOSWAMI H, et al. Analysis of disputed documents with uv/visible spectroscopy andsem for nanomaterial in paper to decipher felonies in forensics[J]. Journal of Forensic Medicine and Toxicology, 2021, 38(1): 68 73.
[63] [63] LEE L C. A study to explore discriminative power of attenuated total reflectance fourier transform infrared spectroscopy for forensic paper analysis using decision tree method[J]. Journal of Analytical Chemistry, 2021, 76(1): 95 101.
[64] [64] JONES K, BENSON S, ROUX C. The forensic analysis of office paper using oxygen Isotope Ratio Mass Spectrometry, part 2: Characterising the source materials and the effect of production and usage on the delta O 18 values of cellulose and paper[J]. Forensic Science International, 2016, 268: 151 158.
[65] [65] JONES K, BENSON S, ROUX C. The forensic analysis of office paper using oxygen isotope ratio mass spectrometry. Part 1: Understanding the background population and homogeneity of paper for the comparison and discrimination of samples[J]. Forensic Science International, 2016, 262: 97 107.
[66] [66] LEE L C, ISHAK A A, ABDUL HAMID N, et al. A comparison between univariate and multivariate statistical techniques to determine source of pen inks using ultra performance liquid chromatography (UPLC) chromatograms[J]. Journal of Liquid Chromatography & Related Technologies, 2021, 44(1/2): 1 11.
[67] [67] ASRI M N M, DESA W N S M, ISMAIL D. Source determination of red gel pen inks using raman spectroscopy and attenuated total reflectance fourier transform infrared spectroscopy combined with pearson′s product moment correlation coefficients and principal component analysis[J]. Journal of Forensic Sciences, 2018, 63(1): 285 291.
[68] [68] ASRI M N M, NESTRGAN N F, NOR N A M, et al. On the discrimination of inkjet, laser and photocopier printed documents using Raman spectroscopy and chemometrics: Application in forensic science[J]. Microchemical Journal, 2021, 165: 106136.
[69] [69] SHARMA S, GARG D, CHOPHI R, et al. On the spectroscopic investigation of stamp inks using ATR FTIR and chemometrics: Application in forensic document examination[J]. Forensic Chemistry, 2021, 26: 100377.
[70] [70] MCGANN J, WILLANS M, SAUZIER G, et al. Investigating diversity in polymer based identity cards using ATR FTIR spectroscopy and chemometrics[J]. Forensic Science International: Reports, 2020, 2: 100149.
[71] [71] MATERAZZI S, RISOLUTI R, PINCI S, et al. New insights in forensic chemistry: NIR/Chemometrics analysis of toners for questioned documents examination[J]. Talanta, 2017, 174: 673 678.
[72] [72] ZHAO H F, ZHAN Y L, XU Z, et al. The application of machine learning and Raman spectroscopy for the rapid detection of edible oils type and adulteration[J]. Food Chemistry, 2022, 373: 131471.
[73] [73] SOLAK S S, SEZER B E, ANZERLIOGLU M, et al. Multiple clinical manifestations of lichenoid spectrum: A patient with frontal fibrosing alopecia, lichen planus pigmentosus, and nail lichen planus[J]. Skin Appendage Disorders, 2022, 8(4): 333 337.
[74] [74] RICH D C, LIVINGSTON K M, MORGAN S L. Evaluating performance of Lasso relative to PCA and LDA to classify dyes on fibers[J]. Forensic Chemistry, 2020, 18: 100213.
[75] [75] MURO C K, DOTY K C, DE SOUZA FERNANDES L, et al. Forensic body fluid identification and differentiation by Raman spectroscopy[J]. Forensic Chemistry, 2016, 1: 31 38.
[76] [76] SAUZIER G, MCGINN J, TRUBSHOE T, et al. In situ examination of handwritten blue ballpoint inks using video spectral comparison with chemometrics[J]. Forensic Science International: Reports, 2019, 1: 100021.
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Jie Zhaowei, Liu Zhuo, Wang Jifen, Liu Fubang, Wu Shihao. Application Progress of Spectral Analysis Combined with Chemometrics in Forensic Identification、[J]. APPLIED LASER, 2024, 44(3): 192
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Received: Sep. 14, 2022
Accepted: --
Published Online: Aug. 16, 2024
The Author Email: Liu Zhuo (20052372@ppsuc.edu.cn)