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Comparative Spectral Sensitivity and Quantitative Accuracy of X-ray Fluorescence and Optical Emission Spectroscopy for Alloy Steel Characterization

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  • Purpose of the study: This study aims to evaluate and compare the spectral sensitivity, detection capability, and quantitative accuracy of X-ray fluorescence and optical emission spectroscopy in determining the elemental composition of alloy steel.

    Methodology: X-ray fluorescence analysis was conducted using Niton XL2 GOLDD (Thermo Scientific), while optical emission spectroscopy analysis employed ARC Met 8000 (Oxford Instruments). Samples included stainless steel (SS-304, SS-310), alloy steel (17-4PH), and duplex steel (Zeron 100). Calibration was performed using Analytical Reference Materials International standards. Data analysis included averaging repeated measurements, relative error calculation, and comparative evaluation using Microsoft Excel and Origin software.

    Main Findings: Optical emission spectroscopy demonstrated higher spectral sensitivity, particularly for light elements such as carbon, while X-ray fluorescence provided rapid multi-element detection with acceptable accuracy. Relative deviations between methods varied across elements, with significant discrepancies observed in nickel measurements due to matrix effects and detection limitations.

    Novelty/Originality of this study: This study introduces a comparative spectral performance analysis of X-ray fluorescence and optical emission spectroscopy, emphasizing matrix-effect-driven deviations and highlighting the nickel (Ni) anomaly as a key spectroscopic case. The work provides deeper insight into the influence of spectral interactions on analytical accuracy in complex alloy systems.

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    [1]
    K. Nowaczyk, R. H. S. . Putra, and P. . Pataki, “Comparative Spectral Sensitivity and Quantitative Accuracy of X-ray Fluorescence and Optical Emission Spectroscopy for Alloy Steel Characterization”, Jor. Chem. Lea. Inn, vol. 2, no. 2, pp. 253–265, Dec. 2025, doi: 10.37251/jocli.v2i2.2946.
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    1. N. K. Wagri et al., “An overview of the machinability of alloy steel,” Mater. Today Proc., vol. 62, pp. 3771–3781, 2022, doi: 10.1016/j.matpr.2022.04.457. DOI: https://doi.org/10.1016/j.matpr.2022.04.457
    2. S. Mandal, R. Ghosh, S. Kunar, R. Samanta, A. Sinha, and G. Mandal, “Current development of multiphase steel: Alloy design, properties and application,” J. Inst. Eng. Ser. D, vol. 105, no. 3, pp. 2023–2038, Dec. 2024, doi: 10.1007/s40033-024-00816-3. DOI: https://doi.org/10.1007/s40033-024-00816-3
    3. J. Schlegel, “Alloying elements and steel properties,” in The World of Steel, Wiesbaden: Springer Fachmedien Wiesbaden, 2023, pp. 63–103. doi: 10.1007/978-3-658-39733-3_3. DOI: https://doi.org/10.1007/978-3-658-39733-3_3
    4. B. Wang et al., “Influence of typical elements and heat treatment parameters on hardenability in steel: a review,” J. Iron Steel Res. Int., vol. 32, no. 6, pp. 1455–1467, Jun. 2025, doi: 10.1007/s42243-024-01307-1. DOI: https://doi.org/10.1007/s42243-024-01307-1
    5. V. Balaram and M. Satyanarayanan, “Data quality in geochemical elemental and isotopic analysis,” Minerals, vol. 12, no. 8, pp. 1–18, 2022, doi: 10.3390/min12080999. DOI: https://doi.org/10.3390/min12080999
    6. A. Surleva, L. Angelova, D. Ilieva, V. Ivanova, O. Surleva, and K. Chavdarova, “Ensuring the quality of the analytical process in a research laboratory,” Aplied Sci., vol. 14, no. 3281, pp. 1–12, 2024, doi: 10.3390/app14083281. DOI: https://doi.org/10.3390/app14083281
    7. A. Klisińska-Kopacz, “X-ray fluorescence spectroscopy,”Non-Destructive Material Characterization Methods," Elsevier, 2024, pp. 487–523. doi: 10.1016/B978-0-323-91150-4.00018-5. DOI: https://doi.org/10.1016/B978-0-323-91150-4.00018-5
    8. K. Heimler, C. Gottschalk, and C. Vogt, “Confocal micro X-ray fluorescence analysis for the non-destructive investigation of structured and inhomogeneous samples,” Anal. Bioanal. Chem., vol. 415, no. 21, pp. 5083–5100, 2023, doi: 10.1007/s00216-023-04829-x. DOI: https://doi.org/10.1007/s00216-023-04829-x
    9. P. J. Potts and M. Sargent, “In situ measurements using hand-held XRF spectrometers: a tutorial review,” J. Anal. At. Spectrom., vol. 37, no. 10, pp. 1928–1947, 2022, doi: 10.1039/D2JA00171C. DOI: https://doi.org/10.1039/D2JA00171C
    10. C. Piccini et al., “In-field soil spectroscopy in Vis–NIR range for fast and reliable soil analysis: A review,” Eur. J. Soil Sci., vol. 75, no. 2, pp. 1–18, 2024, doi: 10.1111/ejss.13481. DOI: https://doi.org/10.1111/ejss.13481
    11. A. G. Revenko and G. V. Pashkova, “X-Ray fluorescence spectrometry: Current status and prospects of development,” Журнал аналитической химии, vol. 78, no. 11, pp. 980–1001, Nov. 2023, doi: 10.31857/S0044450223110130. DOI: https://doi.org/10.31857/S0044450223110130
    12. F. Bilo, P. Cirelli, and L. Borgese, “Elemental analysis of particulate matter by X-ray fluorescence methods: A green approach to air quality monitoring,” TrAC - Trends Anal. Chem., vol. 170, no. 117427, pp. 1–10, 2024, doi: 10.1016/j.trac.2023.117427. DOI: https://doi.org/10.1016/j.trac.2023.117427
    13. S. R. Khan, B. Sharma, P. A. Chawla, and R. Bhatia, “Inductively coupled plasma optical emission spectrometry (ICP-OES): A Powerful analytical technique for elemental analysis,” Food Anal. Methods, vol. 15, no. 3, pp. 666–688, 2022, doi: 10.1007/s12161-021-02148-4. DOI: https://doi.org/10.1007/s12161-021-02148-4
    14. D. Zheng, P. Volovitch, and T. Pauporté, “What can glow discharge optical emission spectroscopy (GD-OES) technique tell us about perovskite solar cells?,” Small Methods, vol. 6, no. 11, pp. 1–16, 2022, doi: 10.1002/smtd.202200633. DOI: https://doi.org/10.1002/smtd.202200633
    15. M. S. H. Akash and K. Rehman, “Comprehensive insights into atomic emission spectroscopy,” in Essentials of Pharmaceutical Analysis, Singapore: Springer Nature Singapore, 2025, pp. 283–319. doi: 10.1007/978-981-96-5996-8_7. DOI: https://doi.org/10.1007/978-981-96-5996-8_7
    16. A. Rautioaho, H. Pauna, V.-V. Visuri, M. Huttula, and T. Fabritius, “Electric steelmaking process monitoring with optical emission spectroscopy – An in-depth review,” in IOP Conference Series: Materials Science and Engineering, 2024, pp. 1–12. doi: 10.1088/1757-899x/1309/1/012001. DOI: https://doi.org/10.1088/1757-899X/1309/1/012001
    17. I. P. Sverchkov, I. M. Gembitskaya, V. G. Povarov, and M. A. Chukaeva, “Method of reference samples preparation for X-ray fluorescence analysis,” Talanta, vol. 252, p. 123820, Jan. 2023, doi: 10.1016/j.talanta.2022.123820. DOI: https://doi.org/10.1016/j.talanta.2022.123820
    18. C. Vanhoof, J. R. Bacon, U. E. A. Fittschen, and L. Vincze, “2023 atomic spectrometry update – a review of advances in X-ray fluorescence spectrometry and its special applications,” J. Anal. At. Spectrom., vol. 38, no. 9, pp. 1730–1743, 2023, doi: 10.1039/D3JA90026F. DOI: https://doi.org/10.1039/D3JA90026F
    19. S. Sinha, C. Jeyaseelan, G. Singh, T. Munjal, and D. Paul, “Spectroscopy—principle, types, and applications,” in Basic Biotechniques for Bioprocess and Bioentrepreneurship, Elsevier, 2023, pp. 145–164. doi: 10.1016/B978-0-12-816109-8.00008-8. DOI: https://doi.org/10.1016/B978-0-12-816109-8.00008-8
    20. R. D. Prasad et al., “A review on spectroscopic techniques for analysis of nanomaterials and biomaterials,” ES Energy Environ., vol. 27, no. 1264, pp. 1–71, 2025, doi: 10.30919/es1332. DOI: https://doi.org/10.30919/es1332
    21. P. Acquafredda and F. J. Huertas, “X-Ray fluorescence: Chemical characterization of materials by X-Ray spectrometry BT - mineralogical analysis applied to forensics: A guidance on mineralogical techniques and their application to the forensic field,” M. Mercurio, A. Langella, R. M. Di Maggio, and P. Cappelletti, Eds., Cham: Springer International Publishing, 2023, pp. 225–250. doi: 10.1007/978-3-031-08834-6_8. DOI: https://doi.org/10.1007/978-3-031-08834-6_8
    22. S. I. Mamtha, R. Paranthaman, A. Negi, and J. A. Moses, “Energy dispersive X-ray fluorescence for elemental analysis of foods,” J. Food Compos. Anal., vol. 140, p. 107216, Apr. 2025, doi: 10.1016/j.jfca.2025.107216. DOI: https://doi.org/10.1016/j.jfca.2025.107216
    23. V. Balaram and S. S. Sawant, “Indicator minerals, pathfinder elements, and portable analytical instruments in mineral exploration studies,” 2022. doi: 10.3390/min12040394. DOI: https://doi.org/10.20944/preprints202202.0272.v1
    24. M. Kharbach, M. Alaoui Mansouri, M. Taabouz, and H. Yu, “Current application of advancing spectroscopy techniques in food analysis: Data handling with chemometric approaches,” Foods, vol. 12, no. 14, pp. 1–46, 2023, doi: 10.3390/foods12142753. DOI: https://doi.org/10.3390/foods12142753
    25. S. A. Gegenschatz, F. A. Chiappini, C. M. Teglia, A. Muñoz de la Peña, and H. C. Goicoechea, “Binding the gap between experiments, statistics, and method comparison: A tutorial for computing limits of detection and quantification in univariate calibration for complex samples,” Anal. Chim. Acta, vol. 1209, p. 339342, May 2022, doi: 10.1016/j.aca.2021.339342. DOI: https://doi.org/10.1016/j.aca.2021.339342
    26. C. M. Fisher, K. T. Peter, S. R. Newton, A. J. Schaub, and J. R. Sobus, “Approaches for assessing performance of high-resolution mass spectrometry–based non-targeted analysis methods,” Anal. Bioanal. Chem., vol. 414, pp. 6455–6471, 2022, doi: 10.1007/s00216-022-04203-3. DOI: https://doi.org/10.1007/s00216-022-04203-3
    27. Y. Liu, L. Wang, D. Li, and K. Wang, “State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review,” Prot. Control Mod. Power Syst., vol. 8, no. 1, pp. 1–17, 2023, doi: 10.1186/s41601-023-00314-w. DOI: https://doi.org/10.1186/s41601-023-00314-w
    28. S. Garip, Ş. Özdemir, and N. Altın, “Power system reliability assessment - A review on analysis and evaluation methods,” J. Energy Syst., vol. 6, no. 3, pp. 401–419, 2022, doi: 10.30521/jes.1099618. DOI: https://doi.org/10.30521/jes.1099618
    29. S. K. Sahoo and S. S. Goswami, “A comprehensive review of multiple criteria decision-making (MCDM) methods: Advancements, applications, and future directions,” Decis. Mak. Adv., vol. 1, no. 1, pp. 25–48, 2023, doi: 10.31181/dma1120237. DOI: https://doi.org/10.31181/dma1120237
    30. J. Wang, M. E. Pursell, A. DeVor, O. Awoyemi, S. J. Valentine, and P. Li, “Portable mass spectrometry system: instrumentation, applications, and path to ‘omics analysis,” Proteomics, vol. 22, no. 23–24, pp. 1–40, 2022, doi: 10.1002/pmic.202200112. DOI: https://doi.org/10.1002/pmic.202200112
    31. G. Gullifa, L. Barone, E. Papa, A. Giuffrida, S. Materazzi, and R. Risoluti, “Portable NIR spectroscopy: The route to green analytical chemistry,” Front. Chem., vol. 11, no. September, pp. 1–19, 2023, doi: 10.3389/fchem.2023.1214825. DOI: https://doi.org/10.3389/fchem.2023.1214825
    32. E. M. Jenkins, J. Galbraith, and A. A. Paltseva, “Portable X-ray fluorescence as a tool for urban soil contamination analysis: accuracy, precision, and practicality,” Soil, vol. 11, no. 2, pp. 565–582, 2025, doi: 10.5194/soil-11-565-2025. DOI: https://doi.org/10.5194/soil-11-565-2025
    33. M. C. Chen, Y. C. Lee, J. H. Tee, M. T. Lee, C. K. Ting, and J. Y. Juang, “AI-powered precursor quantification in atmospheric pressure plasma jet thin film deposition via optical emission spectroscopy,” Plasma Sources Sci. Technol., vol. 33, no. 10, pp. 1–12, 2024, doi: 10.1088/1361-6595/ad80c6. DOI: https://doi.org/10.1088/1361-6595/ad80c6
    34. X. Wei, A. Mitchell, R. Sun, N. Yu, and K. Yamamura, “A review of simulation modeling of the state evaluation and process prediction of plasma processing under atmospheric pressure,” Nanomanufacturing Metrol., vol. 7, no. 16, pp. 1–44, 2024, doi: 10.1007/s41871-024-00234-9. DOI: https://doi.org/10.1007/s41871-024-00234-9
    35. S. Imashuku and K. Wagatsuma, “Imaging measurement for the inclusion analysis of steel materials in emission spectrometry,” ISIJ Int., vol. 62, no. 5, pp. 811–820, 2022, doi: 10.2355/isijinternational.ISIJINT-2021-393. DOI: https://doi.org/10.2355/isijinternational.ISIJINT-2021-393
    36. S. Porcinai, A. Cagnini, M. Galeotti, and M. Ferretti, “Quantitative analysis of copper alloys by means of portable X-ray fluorescence: A comparison between analysis of shavings and surfaces,” Spectrochim. Acta Part B At. Spectrosc., vol. 210, p. 106808, Dec. 2023, doi: 10.1016/j.sab.2023.106808. DOI: https://doi.org/10.1016/j.sab.2023.106808
    37. R. Haque, “Automation in manufacturing: A systematic review of advanced time management techniques to boost productivity,” Am. J. Sch. Res. Innov., vol. 02, no. 01, pp. 50–78, 2023, doi: 10.63125/z1wmcm42. DOI: https://doi.org/10.63125/z1wmcm42
    38. C. A. Cavalcante, A. C. Santos, R. G. Paiva, A. A. Aribisala, and R. B. Da Silva, “Delay time model for determining the effectiveness of a system under adverse conditions of production and inspection,” Proc. Inst. Mech. Eng. Part O J. Risk Reliab., vol. 238, no. 6, pp. 1136–1155, Dec. 2024, doi: 10.1177/1748006X231207529. DOI: https://doi.org/10.1177/1748006X231207529
    39. R. López-Núñez, “Portable X-ray fluorescence analysis of organic amendments: A review,” Appl. Sci., vol. 12, no. 14, pp. 1–20, 2022, doi: 10.3390/app12146944. DOI: https://doi.org/10.3390/app12146944
    40. C. Vanhoof, A. Cross, U. E. A. Fittschen, and L. Vincze, “Atomic spectrometry update: review of advances in X-ray fluorescence spectrometry,” J. Anal. At. Spectrom., vol. 40, no. 9, pp. 2275–2289, 2025, doi: 10.1039/D5JA90030A. DOI: https://doi.org/10.1039/D5JA90030A
    41. S. Guergan et al., “Optical emission spectroscopy for the real-time identification of malignant breast tissue,” Diagnostics, vol. 14, no. 3, pp. 1–15, 2024, doi: 10.3390/diagnostics14030338. DOI: https://doi.org/10.3390/diagnostics14030338
    42. P. Punia, M. K. Bharti, R. Dhar, P. Thakur, and A. Thakur, “Recent advances in detection and removal of heavy metals from contaminated water,” ChemBioEng Rev., vol. 9, no. 4, pp. 351–369, Aug. 2022, doi: 10.1002/cben.202100053. DOI: https://doi.org/10.1002/cben.202100053
    43. R. teja Vulchi, V. Morgunov, R. Junjuri, and T. Bocklitz, “Artifacts and anomalies in raman spectroscopy: A review on origins and correction procedures,” Molecules, vol. 29, no. 19, pp. 1–24, 2024, doi: 10.3390/molecules29194748. DOI: https://doi.org/10.3390/molecules29194748
    44. C. M. Gonzalez, T. Horrocks, D. Wedge, E. J. Holden, N. Hackman, and T. Green, “Anomaly detection in Fourier transform infrared spectroscopy of geological specimens using variational autoencoders,” Ore Geol. Rev., vol. 158, no. 105478, pp. 1–14, 2023, doi: 10.1016/j.oregeorev.2023.105478. DOI: https://doi.org/10.1016/j.oregeorev.2023.105478
    45. M. L. Tietze, M. Obst, G. Arnauts, N. Wauteraerts, S. Rodríguez-Hermida, and R. Ameloot, “Parts-per-million detection of volatile organic compounds via surface plasmon polaritons and nanometer-thick metal-organic framework films,” ACS Appl. Nano Mater., vol. 5, no. 4, pp. 5006–5016, 2022, doi: 10.1021/acsanm.2c00012. DOI: https://doi.org/10.1021/acsanm.2c00012
    46. M. Snellman, P. Samuelsson, A. Eriksson, Z. Li, and K. Deppert, “On-line compositional measurements of AuAg aerosol nanoparticles generated by spark ablation using optical emission spectroscopy,” J. Aerosol Sci., vol. 165, no. 106041, pp. 1–11, 2022, doi: 10.1016/j.jaerosci.2022.106041. DOI: https://doi.org/10.1016/j.jaerosci.2022.106041
    47. A. Kohut, L. P. Villy, G. Kohut, G. Galbács, and Z. Geretovszky, “A calibration-free optical emission spectroscopic method to determine the composition of a spark discharge plasma used for auag binary nanoparticle synthesis,” Appl. Spectrosc., vol. 77, no. 12, pp. 1401–1410, Dec. 2023, doi: 10.1177/00037028231207358. DOI: https://doi.org/10.1177/00037028231207358
    48. H. Mohrbacher and A. Kern, “Nickel alloying in carbon steel: fundamentals and applications,” Alloys, vol. 2, no. 1, pp. 1–28, 2023, doi: 10.3390/alloys2010001. DOI: https://doi.org/10.3390/alloys2010001
    49. H. Firmanto, S. Candra, M. A. Hadiyat, Y. P. Triastomo, and I. Wirawan, “Tensile strength and microstructure of rotary friction-welded carbon steel and stainless steel joints,” J. Manuf. Mater. Process., vol. 7, no. 1, pp. 1–17, 2023, doi: 10.3390/jmmp7010007. DOI: https://doi.org/10.3390/jmmp7010007
    50. D. Sur, A. Gupta, S. Dubey, and A. Kumar, “Properties of materials and selection criteria,” in Chemical Engineering Essentials 2, Wiley, 2025, pp. 79–107. doi: 10.1002/9781394372379.ch4. DOI: https://doi.org/10.1002/9781394372379.ch4
    51. D. Guan et al., “Hydrogen society: from present to future,” Energy Environ. Sci., vol. 16, no. 11, pp. 4926–4943, 2023, doi: 10.1039/d3ee02695g. DOI: https://doi.org/10.1039/D3EE02695G
    52. G. E. Acquah et al., “Portable X-ray fluorescence (pXRF) calibration for analysis of nutrient concentrations and trace element contaminants in fertilisers,” PLoS One, vol. 17, no. 1 January, pp. 1–20, 2022, doi: 10.1371/journal.pone.0262460. DOI: https://doi.org/10.1371/journal.pone.0262460
    53. C. L. S. Costa, C. T. Prais, and C. C. Nascentes, “A simple method for glass analysis using total reflection X-ray fluorescence spectrometry,” Talanta, vol. 243, no. 123354, pp. 1–7, 2022, doi: 10.1016/j.talanta.2022.123354. DOI: https://doi.org/10.1016/j.talanta.2022.123354
    54. L. N. Muhammad, “Guidelines for repeated measures statistical analysis approaches with basic science research considerations,” J. Clin. Invest., vol. 133, no. 11, pp. 2–4, 2023, doi: 10.1172/JCI171058. DOI: https://doi.org/10.1172/JCI171058
    55. J. Atkinson, L. A. Brudvig, M. Mallen-Cooper, S. Nakagawa, A. T. Moles, and S. P. Bonser, “Terrestrial ecosystem restoration increases biodiversity and reduces its variability, but not to reference levels: A global meta-analysis,” Ecol. Lett., vol. 25, no. 7, pp. 1725–1737, 2022, doi: 10.1111/ele.14025. DOI: https://doi.org/10.1111/ele.14025
    56. A. Ntziouni et al., “Review of existing standards, guides, and practices for raman spectroscopy,” Appl. Spectrosc., vol. 76, no. 7, pp. 747–772, 2022, doi: 10.1177/00037028221090988. DOI: https://doi.org/10.1177/00037028221090988
    57. M. Aramendía et al., “A novel approach for adapting the standard addition method to single particle-ICP-MS for the accurate determination of NP size and number concentration in complex matrices,” Anal. Chim. Acta, vol. 1205, no. 339738, pp. 1–12, 2022, doi: 10.1016/j.aca.2022.339738. DOI: https://doi.org/10.1016/j.aca.2022.339738
    58. X. Chen, W. Shu, L. Zhao, and J. Wan, “Advanced mass spectrometric and spectroscopic methods coupled with machine learning for in vitro diagnosis,” VIEW, vol. 4, no. 1, pp. 1–10, Feb. 2023, doi: 10.1002/VIW.20220038. DOI: https://doi.org/10.1002/VIW.20220038
    59. M. Ortiz-Martínez, J. A. Molina González, G. Ramírez García, A. de Luna Bugallo, M. A. Justo Guerrero, and E. C. Strupiechonski, “Enhancing sensitivity and selectivity in pesticide detection: A review of cutting-edge techniques,” Environ. Toxicol. Chem., vol. 43, no. 7, pp. 1468–1484, 2024, doi: 10.1002/etc.5889. DOI: https://doi.org/10.1002/etc.5889
    60. J. Lu et al., “A matrix effect correction method for portable X-ray fluorescence data,” Appl. Sci., vol. 12, no. 2, pp. 1–11, 2022, doi: 10.3390/app12020568. DOI: https://doi.org/10.3390/app12020568
    61. M. Wang, Y. Gu, H. Lu, L. Ge, Q. Zhang, and G. Zeng, “Matrix effect correction method based on the main spectral parameters for rock samples in an in situ energy dispersive X-ray fluorescence analysis,” Spectrochim. Acta - Part B At. Spectrosc., vol. 193, no. 106438, pp. 1–7, 2022, doi: 10.1016/j.sab.2022.106438. DOI: https://doi.org/10.1016/j.sab.2022.106438
    62. Y. Zhang et al., “Total reflection X-ray fluorescence spectrometry: A comprehensive review of critical components, analytical benefits and practical applications,” Crit. Rev. Anal. Chem., vol. 56, no. 2, pp. 311–330, Feb. 2025, doi: 10.1080/10408347.2024.2411245. DOI: https://doi.org/10.1080/10408347.2024.2411245
    63. Y. Hang, A. Wang, and N. Wu, “Plasmonic silver and gold nanoparticles: shape- and structure-modulated plasmonic functionality for point-of-caring sensing, bio-imaging and medical therapy,” Chem. Soc. Rev., vol. 53, no. 6, pp. 2932–2971, 2024, doi: 10.1039/D3CS00793F. DOI: https://doi.org/10.1039/D3CS00793F
    64. Y. Xiong et al., “Photonic crystal enhanced fluorescence: A review on design strategies and applications,” Micromachines, vol. 14, no. 3, pp. 9–11, 2023, doi: 10.3390/mi14030668. DOI: https://doi.org/10.3390/mi14030668
    65. A. S. Maltsev, R. A. Yusupov, and S. A. Bakhteev, “Overcoming absorption effects in the determination of light elements in beverages by total‐reflection X‐ray spectrometry,” X-Ray Spectrom., vol. 52, no. 4, pp. 160–167, Jul. 2023, doi: 10.1002/xrs.3283. DOI: https://doi.org/10.1002/xrs.3283
    66. E. De Pauw et al., “Determination of rare earth elements in cosmo-geological samples aided by wavelength dispersive X-ray fluorescence spectroscopy,” ACS Earth Sp. Chem., vol. 8, no. 12, pp. 2546–2556, Dec. 2024, doi: 10.1021/acsearthspacechem.4c00235. DOI: https://doi.org/10.1021/acsearthspacechem.4c00235
    67. F. Li, L. Meng, W. Ding, J. Wang, and L. Ge, “Review of energy‐dispersive X‐ray fluorescence on food elements detection,” X-Ray Spectrom., vol. 51, no. 4, pp. 346–364, Jul. 2022, doi: 10.1002/xrs.3279. DOI: https://doi.org/10.1002/xrs.3279
    68. A. A. AL-Tameemi, F. Li, Q. Zhang, Z. Xiao, W. Yang, and S. Lyu, “Quantitative analysis of Cu, Zn, and Pb elements in ores by X-ray fluorescence using a hierarchical convolutional network with attention excitation,” J. Anal. At. Spectrom., vol. 40, no. 6, pp. 1580–1590, 2025, doi: 10.1039/D5JA00047E. DOI: https://doi.org/10.1039/D5JA00047E
    69. T. Monot, M. O. Simonnot, and B. Laubie, “Relevance of using portable X-ray fluorescence to identify gold hyperaccumulator plants,” Environ. Adv., vol. 16, no. 100556, pp. 1–6, 2024, doi: 10.1016/j.envadv.2024.100556. DOI: https://doi.org/10.1016/j.envadv.2024.100556
    70. R. S. Mohammed, K. A. Aadim, and K. A. Ahmed, “Spectroscopy diagnostic of laser intensity effect on Zn plasma parameters generated by Nd: YAG laser,” Iraqi J. Sci., vol. 63, no. 9, pp. 3711–3718, 2022, doi: 10.24996/ijs.2022.63.9.5. DOI: https://doi.org/10.24996/ijs.2022.63.9.5
    71. X. Chen and X. Huang, “Highly efficient and thermally stable NIR‐emitting phosphor with largely tunable peak wavelength and bandwidth toward NIR Spectroscopy applications,” Laser Photon. Rev., vol. 19, no. 11, pp. 1–10, Jun. 2025, doi: 10.1002/lpor.202402226. DOI: https://doi.org/10.1002/lpor.202402226
    72. L. Zhou et al., “Additive manufacturing: A comprehensive review,” Sensors, vol. 24, no. 9, pp. 1–44, 2024, doi: 10.3390/s24092668. DOI: https://doi.org/10.3390/s24092668
    73. M. J. Pushie, N. J. Sylvain, H. Hou, M. J. Hackett, M. E. Kelly, and S. M. Webb, “X-ray fluorescence microscopy methods for biological tissues,” Metallomics, vol. 14, no. 6, pp. 1–31, 2022, doi: 10.1093/mtomcs/mfac032. DOI: https://doi.org/10.1093/mtomcs/mfac032
    74. I. Purwadi, L. W. Casey, C. G. Ryan, P. D. Erskine, and A. van der Ent, “X-ray fluorescence spectroscopy (XRF) for metallome analysis of herbarium specimens,” Plant Methods, vol. 18, no. 1, pp. 1–17, 2022, doi: 10.1186/s13007-022-00958-z. DOI: https://doi.org/10.1186/s13007-022-00958-z
    75. L. M. Kandpal, M. A. Munnaf, C. Cruz, and A. M. Mouazen, “Spectra fusion of mid-infrared (MIR) and X-ray fluorescence (XRF) spectroscopy for estimation of selected soil fertility attributes,” Sensors, vol. 22, no. 9, pp. 1–16, 2022, doi: 10.3390/s22093459. DOI: https://doi.org/10.3390/s22093459
    76. C. M. Heirwegh, W. T. Elam, L. P. O’Neil, K. P. Sinclair, and A. Das, “The focused beam X-ray fluorescence elemental quantification software package PIQUANT,” Spectrochim. Acta - Part B At. Spectrosc., vol. 196, no. 106520, pp. 1–12, 2022, doi: 10.1016/j.sab.2022.106520. DOI: https://doi.org/10.1016/j.sab.2022.106520