Recent Advances in LIBS for Forensic Gunshot Residue Analysis: Applications, Limitations, and Future Prospects

Gunshot residue (GSR) analysis is a fundamental component of forensic investigations, providing crucial evidence for reconstructing shooting incidents, identifying suspects, estimating firing distance, and linking firearms to crime scenes. Conventional analytical techniques, particularly scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM–EDS), have long served as the benchmark for inorganic GSR detection due to their high sensitivity and ability to characterize particle morphology and elemental composition. However, these methods often require extensive sample preparation, sophisticated instrumentation, prolonged analysis times, and laboratory-based operation, limiting their applicability for rapid forensic screening. Laser-Induced Breakdown Spectroscopy (LIBS) can effectively be used for GSR analysis owing to its rapid, minimally destructive, and multi-element detection capabilities. LIBS enables direct elemental analysis with little or no sample preparation and can be applied to diverse substrates, including skin, clothing, firearms, spent cartridge cases, and environmental surfaces. Recent advances in laser technology, spectrometer design, gated detectors, and portable instrumentation have significantly enhanced the analytical performance of LIBS. Furthermore, the integration of LIBS with chemometric and machine learning algorithms has substantially improved the discrimination of GSR from environmental contaminants and facilitated ammunition source classification.
This review provides a comprehensive overview of the principles of LIBS, the formation and composition of gunshot residue, sampling strategies, instrumentation, experimental methodologies, spectral interpretation, and recent forensic applications. Comparative discussions with established analytical techniques highlight the strengths and limitations of LIBS in terms of sensitivity, specificity, portability, analytical speed, and operational cost.

Laser-Induced Breakdown Spectroscopy; Gunshot Residue; Forensic Science; Elemental Analysis, portable LIBS, hybrid LIBS

1. Chang, K. H., Jayaprakash, P. T., Yew, C. H., & Abdullah, A. F. L. (2013). Gunshot residue analysis and its evidential values: a review. Australian Journal of Forensic Sciences, 45(1), 3–23. https://doi.org/10.1080/00450618.2012.691546 [Google Scholar] [Crossref]

2. Charles, S., Geusens, N., & Nys, B. (2022). Interpol Review of Gunshot Residue 2019 to 2021. Forensic science international. Synergy, 6, 100302. https://doi.org/10.1016/j.fsisyn.2022.100302 [Google Scholar] [Crossref]

3. Minzière, V. R., Gassner, A.-L., Gallidabino, M., Roux, C., & Weyermann, C. (2023). The relevance of gunshot residues in forensic science. WIREs Forensic Science, 5(1), e1472. https://doi.org/10.1002/wfs2.1472 [Google Scholar] [Crossref]

4. Romolo, F. S., & Margot, P. (2001). Identification of gunshot residue: A critical review. [Google Scholar] [Crossref]

5. Forensic Science International, 119(2), 195–211. https://doi.org/10.1016/S0379-0738(00)00428-X [Google Scholar] [Crossref]

6. Krishna, S., & Ahuja, P. (2026). Temporal analysis of inorganic and organic gunshot residue (GSR): implications for forensic viability. Forensic science, medicine, and pathology, 22(1), 30–45. https://doi.org/10.1007/s12024-025-01038-z [Google Scholar] [Crossref]

7. Brożek-Mucha Z. (2017). Trends in analysis of gunshot residue for forensic purposes. Analytical and bioanalytical chemistry, 409(25), 5803–5811. https://doi.org/10.1007/s00216-017-0460-1 [Google Scholar] [Crossref]

8. Goudsmits, E., Blakey, L. S., Chana, K., Sharples, G. P., & Birkett, J. W. (2019). The analysis of organic and inorganic gunshot residue from a single sample. Forensic science international, 299, 168–173. https://doi.org/10.1016/j.forsciint.2019.03.049 [Google Scholar] [Crossref]

9. Wolten, G.M., Nesbitt, R.S., Calloway, A.R., Loper, G.L., Jones, P.F. (1979), Particle Analysis for the Detection of Gunshot Residue. I: Scanning Electron Microscopy/Energy Dispersive X-Ray Characterization of Hand Deposits from Firing. J. Forensic Sci. 1 April 1979; 24 (2): 409–422. https://doi.org/10.1520/JFS10848J [Google Scholar] [Crossref]

10. Carneiro, C. R., Lucena, M. A. M., Santos-Silva, C., & Weber, I. T. (2023). Nontoxic ammunition: Challenges and perspectives for GSR identification. WIREs Forensic Science, 5(3), e1477. https://doi.org/10.1002/wfs2.1477 [Google Scholar] [Crossref]

11. Sacco, M. A., Gualtieri, S., Santos, A., Mendes, B., Raffaele, R., Tarallo, A.P., Verrina, M.C., Ranno, F., Monterossi, M.D., Ricci, P. et al. (2025) Scanning Electron Microscopy Techniques in the Analysis of Gunshot Residues: A Literature Review. Applied Sciences. 15(5):2634. https://doi.org/10.3390/app15052634 [Google Scholar] [Crossref]

12. Askar, A.M., Alblooshi, R. A., Alobeidli, H.A., Alremeithi, R. H. & Shah, I. (2025) Comparative SEM/EDS analysis of gunshot residue from non-toxic and traditional ammunitions employed by Dubai police. Front Chem. https://doi:10.3389/fchem.2025.1670901. [Google Scholar] [Crossref]

13. Brünjes, R., Schüürman, J., Kammer, F. & Hofmann, T. (2022), Rapid analysis of gunshot residues with single-particle inductively coupled plasma time-of-flight mass spectrometry, Forensic Science International, 332, https://doi.org/10.1016/j.forsciint.2022.111202. [Google Scholar] [Crossref]

14. Vanini, G., Destefani, C. A., Merlo, B.B., Carneiro, M. T. W. D., Filgueiras, P. R., Poppi, R. J. & Romão, W. (2015) Forensic ballistics by inductively coupled plasma-optical emission spectroscopy: Quantification of gunshot residues and prediction of the number of shots using different firearms, Microchemical Journal, 118, 19-25, https://doi.org/10.1016/j.microc.2014.07.016. [Google Scholar] [Crossref]

15. Bueno, J., Sikirzhytski, V., & Lednev, I. K. (2012). Raman spectroscopic analysis of gunshot residue offering great potential for caliber differentiation. Analytical chemistry, 84(10), 4334–4339. https://doi.org/10.1021/ac203429x [Google Scholar] [Crossref]

16. Bueno, J., Sikirzhytski, V., & Lednev, I. K. (2013). Attenuated Total Reflectance-FT-IR Spectroscopy for Gunshot Residue Analysis: Potential for Ammunition Determination. Anal. Chem. 85 (15): 7287–7294. https://doi.org/10.1021/ac4011843 [Google Scholar] [Crossref]

17. Sarapura, P., Gonzalez, M. F., Gonzalez, F., Morzan, E., Cerchietti, L., Custo, G. (2019) Application of total X-Ray fluorescence to gunshot residue determination, Applied Radiation and Isotopes, 153, https://doi.org/10.1016/j.apradiso.2019.108841. [Google Scholar] [Crossref]

18. Phermpornsagul, Y., Arepornrat, S., Ayuthaya, W.P., & Khaenamkaew, P. (2020). A Comparative Study of SEM-EDX and ICP-MS Detection Based on Gunshot Residue Originated from AK-47 and M16 Rifles. American Journal of Applied Sciences. https://doi.org/10.3844/AJASSP.2020.69.82 [Google Scholar] [Crossref]

19. Wilschefski SC, Baxter MR. Inductively Coupled Plasma Mass Spectrometry: Introduction to Analytical Aspects. Clin Biochem Rev. 40(3):115-133. https://doi:10.33176/AACB-19-00024 . [Google Scholar] [Crossref]

20. Senila M. (2024) Recent Advances in the Determination of Major and Trace Elements in Plants Using Inductively Coupled Plasma Optical Emission Spectrometry. Molecules. 29(13):3169. https://doi:10.3390/molecules29133169 [Google Scholar] [Crossref]

21. Naozuka, J. & Oliveira, A. P. (2019) Laser-induced Breakdown Spectroscopy (LIBS) in Forensic Sensing in Forensic Analytical Methods, ed. T. R. L. C. Paixão, W. K. T. Coltro, and M. O. Salles, The Royal Society of Chemistry, pp. 48-78. https://doi.org/10.1039/9781788016117-00048 [Google Scholar] [Crossref]

22. Shah, S. K. H, Iqbal, J. Ahmad, P., Khandaker, M. U., Haq, S. & Naeem, M. (2020) Laser induced breakdown spectroscopy methods and applications: A comprehensive review, Radiation Physics and Chemistry,170,108666, https://doi.org/10.1016/j.radphyschem.2019.108666 [Google Scholar] [Crossref]

23. Gardette, V., Motto-Ros, V., Alvarez-Llamas, C., Sancey, L., Duponchel, L., Busser, B. (2023); Laser-Induced Breakdown Spectroscopy Imaging for Material and Biomedical Applications: Recent Advances and Future Perspectives. Anal. Chem. 95 (1): 49–69. https://doi.org/10.1021/acs.analchem.2c04910 [Google Scholar] [Crossref]

24. Zhang, R., Hu, S., Ma, C., Zhang, T. & Hua Li (2024) Laser-induced breakdown spectroscopy (LIBS) in biomedical analysis, TrAC Trends in Analytical Chemistry, 181, Part B, 117992, https://doi.org/10.1016/j.trac.2024.117992. [Google Scholar] [Crossref]

25. Lazic V, Andreoli F, Almaviva S, Pistilli M, Menicucci I, Ulrich C, Schnürer F, Chirico R. (2024) A Novel LIBS Sensor for Sample Examinations on a Crime Scene. Sensors (Basel); 24(5):1469. https://doi:10.3390/s24051469 . [Google Scholar] [Crossref]

26. Balaram, V. (2026). Handheld Laser-Induced Breakdown Spectroscopy (LIBS) in the Exploration of Critical Metals: Recent Advancements and Challenges. Minerals, 16(7), 757. https://doi.org/10.3390/min16070757 [Google Scholar] [Crossref]

27. Shahbaz, R. M., Wang, Q., Yu, H. & X. Gao (2026) Sensitivity Improvement in the Detection of Trace Elements With Magnetic Field Confined Laser-Induced Breakdown Spectroscopy Using Machine Learning,” Microwave and Optical Technology Letters 68: e70754, https://doi.org/10.1002/mop.70754. [Google Scholar] [Crossref]

28. Cioccia, G., Wenceslau, R., Ribeiro, M., Senesi, G.S., Cabral, J., Nicolodelli, G., Cena, C. & Bruno Marangoni, B. (2024) Probabilistic-based identification of gunshot residues (GSR) using Laser-Induced Breakdown Spectroscopy (LIBS) and Support Vector Machine (SVM) algorithm, Microchemical Journal, 207,112142, https://doi.org/10.1016/j.microc.2024.112142. [Google Scholar] [Crossref]

29. Gallidabino, M. D., Barron, L. P., Weyermann, C. & Romolo, F. S. (2019); Quantitative profile–profile relationship (QPPR) modelling: a novel machine learning approach to predict and associate chemical characteristics of unspent ammunition from gunshot residue (GSR). Analyst ; 144 (4): 1128–1139. https://doi.org/10.1039/c8an01841c [Google Scholar] [Crossref]

30. Brunnbauer, L., Gajarska, Z., Lohninger, H. & Limbeck, A. (2023) A critical review of recent trends in sample classification using Laser-Induced Breakdown Spectroscopy (LIBS), TrAC Trends in Analytical Chemistry, 159, 116859, https://doi.org/10.1016/j.trac.2022.116859. [Google Scholar] [Crossref]

31. Díaz, D., Hahn, D. W. & Molina, A. (2012) Evaluation of Laser-Induced Breakdown Spectroscopy (LIBS) as a Measurement Technique for Evaluation of Total Elemental Concentration in Soils. Applied Spectroscopy. 2012;66(1):99-106. doi:10.1366/11-06349 [Google Scholar] [Crossref]

32. Kwapis, E.H., Borrero, J., Latty, K.S., Andrews, H. B., Phongikaroon, S., & Hartig, K. C. (2024) Laser Ablation Plasmas and Spectroscopy for Nuclear Applications. Applied Spectroscopy. 78(1):9-55. doi:10.1177/00037028231211559 [Google Scholar] [Crossref]

33. Saxena, A. K., Singh, R.K., Joshi, H. C. & Kumar, A. (2019), Spectroscopic investigation of molecular formation in laterally colliding laser-produced carbon plasmas, Applied Optics, 58 (3), 561-570, https://doi.org/10.1364/AO.58.000561 [Google Scholar] [Crossref]

34. Harmon, R. S. & Senesi, G. S. (2021) Laser-Induced Breakdown Spectroscopy – A geochemical tool for the 21st century, Applied Geochemistry, 128, 104929, https://doi.org/10.1016/j.apgeochem.2021.104929. [Google Scholar] [Crossref]

35. Fikry, M., Mohammed, A., Aboulfotouh, A. et al. (2026) Experimental impact of picosecond laser pulse duration on plasma electron density and temperature investigated through laser-induced breakdown spectroscopy. Eur. Phys. J. Plus 141, 318. https://doi.org/10.1140/epjp/s13360-026-07395-0 [Google Scholar] [Crossref]

36. Shrivastava, P., Jain, V.K. & Nagpal, S. (2021) Gunshot residue detection technologies—a review. Egypt J Forensic Sci 11, 11. https://doi.org/10.1186/s41935-021-00223-9 [Google Scholar] [Crossref]

37. Fojtášek, L., Vacı́nová, J., Kolář, P., Kotrlý, M. (2003), Distribution of GSR particles in the surroundings of shooting pistol, Forensic Science International, 132 (2), 99-105, https://doi.org/10.1016/S0379-0738(03)00018-5. [Google Scholar] [Crossref]

38. Burnett, B.R. & Nunziata, F. Divergent gunshot residues and characterization of the memory effect in a .22 caliber revolver and pistol (2023) Egypt J Forensic Sci 13 (13). https://doi.org/10.1186/s41935-023-00326-5 [Google Scholar] [Crossref]

39. Pitts, K.M. & Lewis, S.W. (2019) Forensic Sciences | Gunshot Residues in Encyclopedia of Analytical Science (Third Edition), Academic Press, pp 48-55, https://doi.org/10.1016/B978-0-12-409547-2.14538-X. [Google Scholar] [Crossref]

40. Camci, E. & Findik, F. (2025) Recent developments in ballistics, Defense and Security Studies, 6(2), 132–141, doi: 10.37868/dss.v6.id291. [Google Scholar] [Crossref]

41. SWGGSR Guide for Primer Gunshot Residue Analysis by Scanning Electron Microscopy/Energy Dispersive X-Ray Spectrometry 11-29-11, National Institute of Standards and Technology, https://www.nist.gov/document/swggsr-guide-primer-gsr-analysis [Google Scholar] [Crossref]

42. Kneubuehl, B. P. (2022), Wound Ballistics: Basics and Applications, Springer Berlin, Heidelberg, https://doi.org/10.1007/978-3-662-64855-1 [Google Scholar] [Crossref]

43. Kara, I. (2020) The relationship between gunshot-residue particle size and Boltzmann distribution. Forensic Sci Res. 7(1):47-52. doi: 10.1080/20961790.2020.1713433. [Google Scholar] [Crossref]

44. De Souza, A.M., Silva, R., Rodrigues, M. A., Rosa, I. D., Do Prado, C. B., Gurgel, M. M. (2025) Statistical Analysis of GSR Particles Morphometry Using the CART Method. Perspectives in Legal and Forensic Sciences. 2(2):10011. https://doi.org/10.70322/plfs.2025.10011 [Google Scholar] [Crossref]

45. Tahirukaj, M., Surleva, A., Vizureanu, P., Olluri, B., Sandu, A.V. (2022) Assessment of Persistence of Gunshot Residues Produced by Firearms from Criminal Cases in the Republic of Kosovo. Applied Sciences. 2022; 12(20):10477. https://doi.org/10.3390/app122010477 [Google Scholar] [Crossref]

46. Lucas, N., Brown, H., Cook, M., Redman, K., Condon, T., Wrobel, H., Kirkbride, K. P. & Kobus, H. (2016) A study into the distribution of gunshot residue particles in the random population, Forensic Science International, 262, 150-155, https://doi.org/10.1016/j.forsciint.2016.02.050. [Google Scholar] [Crossref]

47. Ledergerber, T. D., Staymates, M., Dalzell, K. A., Arroyo, L. E., Jefferys, R., Trejos T. (2025); Uncovering gunshot residue flow and deposition mechanisms using novel visualization methods, real-time atmospheric particle sampling, and spectrochemical techniques. Anal. Methods; 17 (17): 3415–3435. https://doi.org/10.1039/d4ay02283a [Google Scholar] [Crossref]

48. Ditrich, H. (2012) Distribution of gunshot residues – The influence of weapon type, Forensic Science International, 220(1–3), 85-90, https://doi.org/10.1016/j.forsciint.2012.01.034. [Google Scholar] [Crossref]

49. Brożek-Mucha, Z. (2007), Comparison of cartridge case and airborne GSR—a study of the elemental composition and morphology by means of SEM-EDX. X-Ray Spectrom., 36: 398-407. https://doi.org/10.1002/xrs.990 [Google Scholar] [Crossref]

50. Krishna, S.& Ahuja, P. (2024) A Study on the correlation of the physico-chemical properties of Gunshot Residue (GSR) particles with distance using a 9×19 mm Indian ammunition. Forensic Sci Med Pathol 20, 1371–1387. https://doi.org/10.1007/s12024-024-00826-3 [Google Scholar] [Crossref]

51. Brożek-Mucha, Z. (2017) A study of gunshot residue distribution for close-range shots with a silenced gun using optical and scanning electron microscopy, X-ray microanalysis and infrared spectroscopy, Science & Justice, 57(2), 87-94, https://doi.org/10.1016/j.scijus.2016.11.004. [Google Scholar] [Crossref]

52. Blakey, L.S., Sharples, G.P., Chana, K. and Birkett, J.W. (2018), Fate and Behavior of Gunshot Residue—A Review. J Forensic Sci, 63: 9-19. https://doi.org/10.1111/1556-4029.13555 [Google Scholar] [Crossref]

53. Charles, S., Lannoy, M. & Geusens, N. (2013) Influence of the type of fabric on the collection efficiency of gunshot residues, Forensic Science International, 228 (1–3), 42-46, https://doi.org/10.1016/j.forsciint.2013.02.022 [Google Scholar] [Crossref]

54. Jalanti, T., Henchoz, P., Gallusser, A., Bonfanti, M.S. (1999) The persistence of gunshot residue on shooters’ hands, Science & Justice, 39 (1), 48-52, https://doi.org/10.1016/S1355-0306(99)72014-9. [Google Scholar] [Crossref]

55. Seyfang, K. E., Lucas, N., Redman, K. E., Popelka-Filcoff, R.S., Kobus, H. J. & Kirkbride, K. P. (2019) Glass-containing gunshot residues and particles of industrial and occupational origins: Considerations for evaluating GSR traces, Forensic Science International, 298, 284-297, https://doi.org/10.1016/j.forsciint.2019.03.010. [Google Scholar] [Crossref]

56. López-López, M., Alvarez-Llamas, C., Pisonero, J., García-Ruiz, C. & Bordel, N (2017) An exploratory study of the potential of LIBS for visualizing gunshot residue patterns, Forensic Science International, 273, 124-131, https://doi.org/10.1016/j.forsciint.2017.02.012. [Google Scholar] [Crossref]

57. Limbeck, A., Brunnbauer, L., Lohninger, H., Pořízka, P., Modlitbová, P., Kaiser, J., Janovszky, P., Kéri, A. & Galbács, G. (2021) Methodology and applications of elemental mapping by laser induced breakdown spectroscopy, Analytica Chimica Acta, 1147, 72-98, https://doi.org/10.1016/j.aca.2020.12.054. [Google Scholar] [Crossref]

58. Reis, E. L., Sarkis, J. E., Neto, O. N., Rodrigues, C., Kakazu, M. H., & Viebig, S. (2003). A new method for collection and identification of gunshot residues from the hands of shooters. Journal of forensic sciences, 48(6), 1269–1274. [Google Scholar] [Crossref]

59. OSAC (Organisation of Scientific Area Committees for Forensic Science) Standard Practice for the Collection and Preservation of Organic Gunshot Residue Prepared by Ignitable Liquids, Explosives, & Gunshot Residue Subcommittee Version: 1.0 January 2021 https://www.nist.gov/document/standard-practice-collection-and-preservation-organic-gunshot-residuedraft-osac [Google Scholar] [Crossref]

60. Khan, Z.H., Ullah, M. Rahman, H., Talukder, B., Aminul I., Wahadoszamen, Md., Abedin, K. M. & Haider, A. F. M. Y. (2022), Laser-Induced Breakdown Spectroscopy (LIBS) for Trace Element Detection: A Review, Journal of Spectroscopy, 3887038,. https://doi.org/10.1155/2022/3887038 [Google Scholar] [Crossref]

61. Ranković, D., Savić, M., Stoiljković, M., Ristić, M., Luchkouski, V. V., Đorđević, N. & Chumakov, A. N. (2025) Methodological Approach to LIBS Elemental Analysis and Plasma Characterization of Quinoa and Amaranth Pseudocereals Using a TEA CO2 Laser. Foods. 14(24):4199. https://doi.org/10.3390/foods14244199 [Google Scholar] [Crossref]

62. Gajarska, Z., Faruzelová, A., Képeš, E., Prochazka, D., Pořízka, P., Kaiser, J., Lohninger, H. & Limbeck, A. (2024); Automated detection of element-specific features in LIBS spectra. J. Anal. At. Spectrom. 39 (12): 3151–3161. https://doi.org/10.1039/d4ja00247d [Google Scholar] [Crossref]

63. Senesi, G. S., Harmon, R. S. & Hark, R. R. (2021) Field-portable and handheld laser-induced breakdown spectroscopy: Historical review, current status and future prospects, Spectrochimica Acta Part B: Atomic Spectroscopy, 175, 106013, https://doi.org/10.1016/j.sab.2020.106013. [Google Scholar] [Crossref]

64. Rizwan, M., Afgan, M. S., Saleem, S., Kou, K., Hou, Z. & Wang, Z. (2025) Double Pulse laser-induced breakdown spectroscopy (DP-LIBS): A Comprehensive technique Review, Spectrochimica Acta Part B: Atomic Spectroscopy, 227, 107168, https://doi.org/10.1016/j.sab.2025.107168. [Google Scholar] [Crossref]

65. Giannakaris, N., Haider, A., Ahamer, C. M., Grünberger, S., Trautner, S., & Pedarnig, J. D. (2022). Femtosecond Single-Pulse and Orthogonal Double-Pulse Laser-Induced Breakdown Spectroscopy (LIBS): Femtogram Mass Detection and Chemical Imaging with Micrometer Spatial Resolution. Applied spectroscopy, 76(8), 926–936. https://doi.org/10.1177/00037028211042398 [Google Scholar] [Crossref]

66. Shin, S., Doh, I. J., Okeyo, K., Bae, E., Robinson, J. P., & Rajwa, B. (2023). Hybrid Raman and Laser-Induced Breakdown Spectroscopy for Food Authentication Applications. Molecules (Basel, Switzerland), 28(16), 6087. https://doi.org/10.3390/molecules28166087 [Google Scholar] [Crossref]

67. Richiero, S., Bai, X., Comby-Zerbino, C., Herreyre, N., Piednoir, A., Gosselin, M., Dillmann, P., Téreygeol, F., Wilkie-Chancellier, N., Motto-Ros, V. & Detalle, V. (2025) Laser-induced breakdown spectroscopy (LIBS) imaging for carbon quantification in archaeological ferrous alloys. J. Anal. At. Spectrom ; 40 (7): 1746–1753. https://doi.org/10.1039/d4ja00432a [Google Scholar] [Crossref]

68. Villas-Boas, P. R. (2026) Matrix effects in laser-induced breakdown spectroscopy: A review from fundamental mechanisms to data-driven modeling strategies, Spectrochimica Acta Part B: Atomic Spectroscopy, 244, 107611, https://doi.org/10.1016/j.sab.2026.107611. [Google Scholar] [Crossref]

69. Dorscht, M., Stark, M., Oberndorfer, N., Böhm, B., Weinmann, A., Dreizler, A & Geyer, D. (2026), Atomic composition analysis of iron-based particles via single-shot LIBS and spectral fitting under fluctuating plasma conditions, Meas. Sci. Technol. 37 045501 https://doi.org/10.1088/1361-6501/ae34d1 [Google Scholar] [Crossref]

70. Yan, J., Zhou, M., Liu, K., Li, Y., Ma, J., Zheng, Z. & Zhang, G (2026) Research progress and challenges of laser-induced breakdown spectroscopy (LIBS) technology in the field of marine exploration. J. Anal. At. Spectrom. 41 (4): 1181–1198. https://doi.org/10.1039/d5ja00343a [Google Scholar] [Crossref]

71. Yang, Y., Hao, X., Zhang, L. & Ren, L. (2020) Application of Scikit and Keras Libraries for the Classification of Iron Ore Data Acquired by Laser-Induced Breakdown Spectroscopy (LIBS). Sensors. 20(5):1393. https://doi.org/10.3390/s20051393 [Google Scholar] [Crossref]

72. Scurich, N., Faigman, D. L., & Albright, T. D. (2023). Scientific guidelines for evaluating the validity of forensic feature-comparison methods. Proceedings of the National Academy of Sciences of the United States of America, 120(41), e2301843120. https://doi.org/10.1073/pnas.2301843120 [Google Scholar] [Crossref]

73. Goode, S. R., Dockery, C. R., Bachmeyer, M. F., Nieuwland, A. A. & Morgan, S. L. (2002) Detecting Gunshot Residue by Laser Induced Breakdown Spectroscopy. In Laser Induced Plasma Spectroscopy and Applications (2002), paper FB2; Optica Publishing Group ; p FB2. https://doi.org/10.1364/LIBS.2002.FB2. [Google Scholar] [Crossref]

74. Dockery, C. R. & Goode, S. R. (2003) Laser-Induced Breakdown Spectroscopy for the Detection of Gunshot Residues on the Hands of a Shooter. Applied Optics, 42 (30), 6153–6158. https://doi.org/10.1364/AO.42.006153. [Google Scholar] [Crossref]

75. Rosenberg, M. B. & Dockery, C. R. (2008) Determining the Lifetime of Detectable Amounts of Gunshot Residue on the Hands of a Shooter Using Laser-Induced Breakdown Spectroscopy. Applied Spectroscopy, 62 (11), 1238–1241. https://doi.org/10.1366/000370208786401473. [Google Scholar] [Crossref]

76. Fambro, L. A., Vandenbos, D. D., Rosenberg, M. B. & Dockery, C. R. (2017) Laser-Induced Breakdown Spectroscopy for the Rapid Characterization of Lead-Free Gunshot Residues. Applied Spectroscopy, 71 (4), 699–708. https://doi.org/10.1177/0003702816689099. [Google Scholar] [Crossref]

77. Doña-Fernández, A., De Andres-Gimeno, I., Santiago-Toribio, P., Valtuille-Fernández, E., Aller-Sanchez, F. & Heras-González, A. (2018) Real-Time Detection of GSR Particles from Crime Scene: A Comparative Study of SEM/EDX and Portable LIBS System. Forensic Science International, 292, 167–175. https://doi.org/10.1016/j.forsciint.2018.09.021. [Google Scholar] [Crossref]

78. Martinez-Lopez, C.; Sakayanagi, M.; Almirall, J. R. (2018) Elemental Analysis of Packaging Tapes by LA-ICP-MS and LIBS. Forensic Chemistry, 2018, 8, 40–48. https://doi.org/10.1016/j.forc.2018.01.004. [Google Scholar] [Crossref]

79. Martinez-Lopez, C., Trejos, T., Coulson, S., Goodpaster, J., Igowsky, K., Kuczelinis, F., Mehltretter, A., Pollock, E., Simmross, U., Weimer, R. et al. (2019) Interlaboratory Evaluations of the Performance of Elemental Analytical Methods for the Forensic Analysis and Comparisons of Electrical Tapes. Forensic Chemistry, 12, 66–77. https://doi.org/10.1016/j.forc.2019.01.001. [Google Scholar] [Crossref]

80. Vander Pyl, C., Morris, K., Arroyo, L. & Trejos, T. (2020) Assessing the Utility of LIBS in the Reconstruction of Firearm Related Incidents. Forensic Chemistry, 19, 100251. https://doi.org/10.1016/j.forc.2020.100251. [Google Scholar] [Crossref]

81. Menking-Hoggatt, K., Arroyo, L., Curran, J. & Trejos, T. (2021) Novel LIBS Method for Micro-Spatial Chemical Analysis of Inorganic Gunshot Residues. Journal of Chemometrics, 35 (1), e3208. https://doi.org/10.1002/cem.3208. [Google Scholar] [Crossref]

82. Vander Pyl, C., Martinez-Lopez, C., Menking Hoggatt, K. & Trejos, T. (2021) Analysis of Primer Gunshot Residue Particles by Laser Induced Breakdown Spectroscopy and Laser Ablation Inductively Coupled Plasma Mass Spectrometry. Analyst, 146 (17), 5389–5402. https://doi.org/10.1039/D1AN00689D. [Google Scholar] [Crossref]

83. Vander Pyl, C., Menking-Hoggatt, K., Arroyo, L., Gonzalez, J., Liu, C., Yoo, J., Russo, R. E. & Trejos, T. (2023) Evolution of LIBS Technology to Mobile Instrumentation for Expediting Firearm-Related Investigations at the Laboratory and the Crime Scene. Spectrochimica Acta Part B: Atomic Spectroscopy, 207, 106741. https://doi.org/10.1016/j.sab.2023.106741. [Google Scholar] [Crossref]

84. Doña-Fernández, A.; Rodriguez-Pascual, J. A.; De Andres-Gimeno, I.; Gutiérrez-Redomero, E.; Valtuille-Fernández, E.; Gomez-Laina, F. J. Assessing the Shooting Distance of Lead-Free Ammunition Regardless of Composition Using Laser Induced Breakdown Spectroscopy. Forensic Sciences Research, 2023, 8 (3), 256–264. https://doi.org/10.1093/fsr/owad022. [Google Scholar] [Crossref]

85. Rodriguez-Pascual, J. A.; Doña-Fernández, A.; Loarce-Tejada, Y.; de Andres-Gimeno, I.; Valtuille-Fernández, E.; Gutiérrez-Redomero, E.; Gomez-Laina, F. J. Assessment of Gunshot Residue Detection on a Large Variety of Surfaces by Portable LIBS System for Crime Scene Application. Forensic Science International, 2023, 353, 111886. https://doi.org/10.1016/j.forsciint.2023.111886. [Google Scholar] [Crossref]

86. Lazic, V., Andreoli, F., Almaviva, S., Pistilli, M., Menicucci, I., Ulrich, C., Schnürer, F., & Chirico, R. (2024) A Novel LIBS Sensor for Sample Examinations on a Crime Scene. Sensors, 24 (5), 1469. https://doi.org/10.3390/s24051469. [Google Scholar] [Crossref]

87. Rodriguez-Pascual, J. A., Doña-Fernández, A., Hernández-Crespo, F. J., Loarce-Tejada, Y., Sanchez, P. S., Gutiérrez-Redomero, E. & Gomez-Laina, F. J. (2025) Preliminary Study of Gunshot Residues in Entry Holes at Different Angles: Feasibility of Using LIBS to Support Trajectory Estimation. Forensic Science International, 367, 112349. https://doi.org/10.1016/j.forsciint.2024.112349. [Google Scholar] [Crossref]

88. Thomas, L., Jefferys, R., Talley, I., Arroyo, L. & Trejos, T. (2025) Advancing the Use of LIBS Mobile Technology in Shooting Reconstructions and Firearm-Related Investigations. Spectrochimica Acta Part B: Atomic Spectroscopy, 2025, 232, 107274. https://doi.org/10.1016/j.sab.2025.107274. [Google Scholar] [Crossref]

89. Wenceslau, R., Cabral, J. S., Da Silva Souza, G., Rodrigues Silva, F. L., Senesi, G. S., Pereira-Filho, E. R., Cena, C., Ribeiro, M. C. & Marangoni, B. S. (2026) Analysis of Gunshot Residue from Nontoxic Ammunition by Laser-Induced Breakdown Spectroscopy and Machine Learning Algorithms. Talanta, 296, 128483. https://doi.org/10.1016/j.talanta.2025.128483. [Google Scholar] [Crossref]

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