Home Estimating modal mineralogy using Raman spectroscopy: Multivariate analysis models and Raman cross-section proxies
Article
Licensed
Unlicensed Requires Authentication

Estimating modal mineralogy using Raman spectroscopy: Multivariate analysis models and Raman cross-section proxies

  • Laura B. Breitenfeld ORCID logo EMAIL logo , M. Darby Dyar , Timothy D. Glotch , A. Deanne Rogers and Miriam Eleazer
Published/Copyright: January 18, 2025
Become an author with De Gruyter Brill

Abstract

Raman spectroscopy is a powerful technique in the context of planetary exploration because it provides information on mineral identification, chemistry, and abundance. For Raman spectrometers with large spot sizes, multiple mineral phases can be investigated by collecting a single Raman spectrum. There is a lack of methodology for quantifying mineral species in mixtures due to the independent signal strengths of different materials in Raman spectra. Two techniques are presented in this work for quantifying common rock-forming minerals: partial least-squares multivariate analysis and a novel approach called Raman cross-section proxies (numerical metrics associated with specific Raman features). This paper targets 20 mineral species relevant to the mineralogy of the planet Mars. Mineral end-member samples and 187 binary mineral-mineral mixtures (mixture of two distinct minerals) are used for multivariate modeling. Eighteen diamond-mineral mixtures are used to derive Raman cross-section proxies. Mineral abundance proportions are predicted for the binary mineral-mineral mixtures with known mineralogical content to evaluate the efficacy of the two quantitative methods. Technique performance is mineral dependent. The root mean square error for unseen predictions (RMSE-P) using Raman cross-section proxies ranges from ±3.2–17.0 vol%. For the multivariate models, the cross-validated root mean square error (RMSE-CV) ranges from ±8.8 to 26.2 vol%. Although these error estimates are not directly comparable, they provide the most accurate error estimate currently available. Different scenarios may favor the use of one or the other of the two quantitative methods. This work provides fundamental groundwork that can be applied to common rock-forming minerals on terrestrial planets, including Mars. Quantification of mineral abundances aids in answering critical geologic questions related to ancient primary and altered rocks as well as planetary processes and conditions.

Acknowledgments and Funding

We thank Alian Wang for her feedback as a member of the dissertation committee that reviewed this work. We are grateful to the reviewers whose comments improved the manuscript. We thank the Massachusetts Space Grant Consortium for initial funding of this project and NASA SSERVI funding from the RIS4E and RISE2 nodes for subsequent support.

  1. Data Availability

    All Raman spectral data, compositional EMPA data, and quantitative model information (parameters, prediction values, and errors) are archived in an external data repository on Zenodo (Breitenfeld et al. 2024).

References Cited

Bell, J.F. III, Maki, J.N., Alwmark, S., Ehlmann, B.L., Fagents, S.A., Grotzinger, J.P., Gupta, S., Hayes, A., Herkenhoff, K.E., Horgan, B.H.N., and others. (2022) Geological, multispectral, and meteorological imaging results from the Mars 2020 Perseverance rover in Jezero crater. Science Advances, 8, eabo4856, https://doi.org/10.1126/sciadv.abo4856.Search in Google Scholar

Berlanga, G., Acosta-Maeda, T.E., Sharma, S.K., Porter, J.N., Dera, P., Shelton, H., Taylor, G.J., and Misra, A.K. (2019) Remote Raman spectroscopy of natural rocks. Applied Optics, 58, 8971–8980, https://doi.org/10.1364/AO.58.008971.Search in Google Scholar

Berlanga, G., Williams, Q., and Temiquel, N. (2022) Convolutional neural networks as a tool for Raman spectral mineral classification under low signal, dusty Mars conditions. Earth and Space Science, 9, e2021EA002125.Search in Google Scholar

Beyssac, O., Ollila, A.M., Arana, G., Bernard, S., Bernardi, P., Cais, P., Castro, K., Clegg, S., Cousin, A., Egan, M., and others. (2020) SuperCam Raman Onboard Mars 2020 Rover: Overview and Test Data. 51st Lunar and Planetary Science Conference (No. 2326, p. 1419), abstract.Search in Google Scholar

Bhagavantam, S. (1940) Effect of crystal orientation on the Raman spectrum of calcite. Proceedings of the Indian Academy of Sciences. Section A, Physical Sciences, 11, 62–71, https://doi.org/10.1007/BF03050551.Search in Google Scholar

Bhartia, R., Beegle, L.W., DeFlores, L., Abbey, W., Razzell Hollis, J., Uckert, K., Monacelli, B., Edgett, K.S., Kennedy, M.R., Sylvia, M., and others. (2021) Perseverance’s scanning habitable environments with Raman and luminescence for organics and chemicals (SHERLOC) investigation. Space Science Reviews, 217, 58, https://doi.org/10.1007/s11214-021-00812-z.Search in Google Scholar

Bishop, J.L. and Murad, E. (2004) Characterization of minerals and biogeochemical markers on Mars: A Raman and IR spectroscopic study of montmorillonite. Journal of Raman Spectroscopy, 35, 480–486, https://doi.org/10.1002/jrs.1173.Search in Google Scholar

Bishop, J.L., Parente, M., Weitz, C.M., Noe Dobrea, E.Z., Roach, L.H., Murchie, S.L., McGuire, P.C., McKeown, N.K., Rossi, C.M., Brown, A.J., and others. (2009) Mineralogy of Juventae Chasma: Sulfates in the light toned mounds, mafic minerals in the bedrock, and hydrated silica and hydroxylated ferric sulfate on the plateau. Journal of Geophysical Research: Planets, 114, E00D09, https://doi.org/10.1029/2009JE003352.Search in Google Scholar

Bonoldi, L., Frigerio, F., Di Paolo, L., Savoini, A., Barbieri, D., and Grigo, D. (2018) Organic matter maturity profile of a well case study by combination of Raman spectroscopy and principal component analysis-partial least squares regression (PCA-PLS) chemometric methods. Energy & Fuels, 32, 8955–8965, https://doi.org/10.1021/acs.energyfuels.8b01093.Search in Google Scholar

Boucher, T.F., Ozanne, M.V., Carmosino, M.L., Dyar, M.D., Mahadevan, S., Breves, E.A., Lepore, K.H., and Clegg, S.M. (2015a) A study of machine learning regression methods for major elemental analysis of rocks using laser-induced breakdown spectroscopy. Spectrochimica Acta Part B: Atomic Spectroscopy, 107, 1–10, https://doi.org/10.1016/j.sab.2015.02.003.Search in Google Scholar

Boucher, T., Carey, C.J., Dyar, M.D., Mahadevan, S., Clegg, S., and Wiens, R. (2015b) Manifold preprocessing for laser induced breakdown spectroscopy under Mars conditions. Journal of Chemometrics, 29, 484–491, https://doi.org/10.1002/cem.2727.Search in Google Scholar

Breitenfeld, L.B., Dyar, M.D., Carey, C.J., Tague, T.J. Jr., Wang, P., Mullen, T., and Parente, M. (2018a) Predicting olivine composition using Raman spectroscopy through band shift and multivariate analyses. American Mineralogist, 103, 1827–1836, https://doi.org/10.2138/am-2018-6291.Search in Google Scholar

Breitenfeld, L.B., Dyar, M.D., and Sklute, E.C. (2018b) Effect of grain size on Raman signal of silicates. XIII GeoRaman Conference.Search in Google Scholar

Breitenfeld, L.B., Rogers, A.D., Glotch, T.D., Hamilton, V.E., Christensen, P.R., Lauretta, D.S., Gemma, M.E., Howard, K.T., Ebel, D.S., Kim, G., and others. (2021) Machine learning mid infrared spectral models for predicting modal mineralogy of CI/CM chondritic asteroids and Bennu. Journal of Geophysical Research: Planets, 126, e2021JE007035, https://doi.org/10.1029/2021JE007035.Search in Google Scholar

Breitenfeld, L.B., Dyar, M.D., Glotch, T.D., Rogers, A.D., and Eleazer, M. (2024) Estimating Modal Mineralogy using Raman Spectroscopy: Multivariate Analysis Models and Raman Cross-Section Proxies [Data set]. Zenodo, https://doi.org/10.5281/zenodo.10578499.Search in Google Scholar

Breitenfeld, L.B., Dyar, M.D., Sklute, E.C., and Legett, C. (2025) Effect of particle size on Raman signal strength of silicate minerals. Journal of Raman Spectroscopy, in press.Search in Google Scholar

Buzgar, N., Buzatu, A., and Sanislav, I.V. (2009) The Raman study on certain sulfates. Analele tiin ifice ale Universit ii “Al. I. Cuza” Ia i, Seria Geologie, 55, 5–23.Search in Google Scholar

Carey, C., Boucher, T., Mahadevan, S., Bartholomew, P., and Dyar, M.D. (2015a) Machine learning tools for mineral recognition and classification from Raman spectroscopy. Journal of Raman Spectroscopy, 46, 894–903, https://doi.org/10.1002/jrs.4757.Search in Google Scholar

Carey, C.J., Boucher, T., Giguere, S., Mahadevan, S., and Dyar, M.D. (2015b) Automatic whole-spectrum matching. AI in Space Workshop. International Joint Conference on Artificial Intelligence, Buenos Aires, July 2015.Search in Google Scholar

Carey, C., Dyar, M.D., Boucher, T.F., Giguere, S., Hoff, C.M., Breitenfeld, L.B., Parente, M., Tague, T.J. Jr., Wang, P., and Mahadevan, S. (2015c) Baseline removal in Raman spectroscopy: Optimization techniques. 46th Annual Lunar and Planetary Science Conference, No. 1832, p. 2464.Search in Google Scholar

Chio, C.H., Sharma, S.K., Lucey, P.G., and Muenow, D.W. (2003) Effects of particle size and laser-induced heating on the Raman spectra of alpha quartz grains. Applied Spectroscopy, 57, 774–783, https://doi.org/10.1366/000370203322102852.Search in Google Scholar

Chopelas, A.J.A.M. (1991) Single crystal Raman spectra of forsterite, fayalite, and monticellite. American Mineralogist, 76, 1101–1109.Search in Google Scholar

Clavé, E., Benzerara, K., Meslin, P.-Y., Forni, O., Royer, C., Mandon, L., Beck, P., Quantin-Nataf, C., Beyssac, O., Cousin, A., and others. (2022) Carbonate detection with SuperCam in igneous rocks on the floor of Jezero Crater, Mars. Journal of Geophysical Research: Planets, 128, e2022JE007463, https://doi.org/10.1029/2022JE007463.Search in Google Scholar

Clegg, S.M., Wiens, R., Misra, A.K., Sharma, S.K., Lambert, J., Bender, S., Newell, R., Nowak-Lovato, K., Smrekar, S., Dyar, M.D., and others. (2014) Planetary geochemical investigations using Raman and laser-induced breakdown spectroscopy. Applied Spectroscopy, 68, 925–936, https://doi.org/10.1366/13-07386.Search in Google Scholar

Cochrane, C.J. and Blacksberg, J. (2015) A fast classification scheme in Raman spectroscopy for the identification of mineral mixtures using a large database with correlated predictors. IEEE Transactions on Geoscience and Remote Sensing, 53, 4259–4274, https://doi.org/10.1109/TGRS.2015.2394377.Search in Google Scholar

Cooper, J.B., Wise, K.L., Jones, R.W., and Marshall, S. (2014) Sequentially shifted excitation Raman spectroscopy. Spectroscopy, 29, 38–42.Search in Google Scholar

Corpolongo, A., Jakubek, R.S., Burton, A.S., Brown, A.J., Yanchilina, A., Czaja, A.D., Steele, A., Wogsland, B.V., Lee, C., Flannery, D., and others. (2023) SHERLOC Raman mineral class detections of the Mars 2020 Crater Floor Campaign. Journal of Geophysical Research, 128, e2022JE007455, https://doi.org/10.1029/2022JE007455.Search in Google Scholar

Dufresne, W.J., Rufledt, C.J., and Marshall, C.P. (2018) Raman spectroscopy of the eight natural carbonate minerals of calcite structure. Journal of Raman Spectroscopy, 49, 1999–2007, https://doi.org/10.1002/jrs.5481.Search in Google Scholar

Dyar, M.D. and Ytsma, C.R. (2021) Effect of data set size on geochemical quantification accuracy with laser-induced breakdown spectroscopy. Spectrochimica Acta Part B: Atomic Spectroscopy, 177, 106073, https://doi.org/10.1016/j.sab.2021.106073.Search in Google Scholar

Dyar, M.D., Breves, E.A., Emerson, E., Bell, S.W., Nelms, M., Ozanne, M.V., Peel, S.E., Carmosino, M.L., Tucker, J.M., Gunter, M.E., and others. (2012) Accurate determination of ferric iron in garnets by bulk Mössbauer spectroscopy and synchrotron micro-XANES. American Mineralogist, 97, 1726–1740, https://doi.org/10.2138/am.2012.4107.Search in Google Scholar

Dyar, M.D., Fassett, C.I., Giguere, S., Lepore, K., Byrne, S., Boucher, T., Carey, C.J., and Mahadevan, S. (2016a) Comparison of univariate and multivariate models for prediction of major and minor elements from laser-induced breakdown spectra with and without masking. Spectrochimica Acta Part B: Atomic Spectroscopy, 123, 93–104, https://doi.org/10.1016/j.sab.2016.07.010.Search in Google Scholar

Dyar, M.D., Breves, E.A., Gunter, M.E., Lanzirotti, A., Tucker, J.M., Carey, C.J., Peel, S.E., Brown, E.B., Oberti, R., Lerotic, M., and others. (2016b) Use of multivariate analysis for synchrotron micro-XANES analysis of iron valence state in amphiboles. American Mineralogist, 101, 1171–1189, https://doi.org/10.2138/am-2016-5556.Search in Google Scholar

Edwards, H.G., Hutchinson, I.B., Ingley, R., Parnell, J., Vítek, P., and Jehlička, J. (2013) Raman spectroscopic analysis of geological and biogeological specimens of relevance to the ExoMars mission. Astrobiology, 13, 543–549, https://doi.org/10.1089/ast.2012.0872.Search in Google Scholar

Ehlmann, B.L. and Edwards, C.S. (2014) Mineralogy of the Martian surface. Annual Review of Earth and Planetary Sciences, 42, 291–315, https://doi.org/10.1146/annurev-earth-060313-055024.Search in Google Scholar

Ehlmann, B.L., Mustard, J.F., Murchie, S.L., Poulet, F., Bishop, J.L., Brown, A.J., Calvin, W.M., Clark, R.N., Marais, D.J.D., Milliken, R.E., and others. (2008a) Orbital identification of carbonate-bearing rocks on Mars. Science, 322, 1828–1832, https://doi.org/10.1126/science.1164759.Search in Google Scholar

Ehlmann, B.L., Mustard, J.F., Fassett, C.I., Schon, S.C., Head, J.W. III, Des Marais, D.J., Grant, J.A., and Murchie, S.L. (2008b) Clay minerals in delta deposits and organic preservation potential on Mars. Nature Geoscience, 1, 355–358, https://doi.org/10.1038/ngeo207.Search in Google Scholar

Ehlmann, B.L., Mustard, J.F., and Murchie, S.L. (2010) Geologic setting of serpentine deposits on Mars. Geophysical Research Letters, 37, 2010GL042596, https://doi.org/10.1029/2010GL042596.Search in Google Scholar

Farley, K.A., Stack, K.M., Shuster, D.L., Horgan, B.H.N., Hurowitz, J.A., Tarnas, J.D., Simon, J.I., Sun, V.Z., Scheller, E.L., Moore, K.R., and others. (2022) Aqueously altered igneous rocks sampled on the floor of Jezero crater, Mars. Science, 377, eabo2196, https://doi.org/10.1126/science.abo2196.Search in Google Scholar

Fassett, C.I. and Head, J.W. III (2005) Fluvial sedimentary deposits on Mars: Ancient deltas in a crater lake in the Nili Fossae region. Geophysical Research Letters, 32, 2005GL023456, https://doi.org/10.1029/2005GL023456.Search in Google Scholar

Feely, K.C. and Christensen, P.R. (1999) Quantitative compositional analysis using thermal emission spectroscopy: Application to igneous and metamorphic rocks. Journal of Geophysical Research: Planets, 104, 24195–24210, https://doi.org/10.1029/1999JE001034.Search in Google Scholar

Foucher, F., Lopez Reyes, G., Bost, N., Rull Perez, F., Rüßmann, P., and Westall, F. (2013) Effect of grain size distribution on Raman analyses and the consequences for in situ planetary missions. Journal of Raman Spectroscopy, 44, 916–925, https://doi.org/10.1002/jrs.4307.Search in Google Scholar

Freeman, J.J., Wang, A., Kuebler, K.E., Jolliff, B.L., and Haskin, L.A. (2008) Characterization of natural feldspars by Raman spectroscopy for future planetary exploration. Canadian Mineralogist, 46, 1477–1500, https://doi.org/10.3749/canmin.46.6.1477.Search in Google Scholar

Geladi, P. and Kowalski, B.R. (1986) Partial least-squares regression: A tutorial. Analytica Chimica Acta, 185, 1–17, https://doi.org/10.1016/0003-2670(86)80028-9.Search in Google Scholar

Goudge, T.A., Mustard, J.F., Head, J.W., Fassett, C.I., and Wiseman, S.M. (2015) Assessing the mineralogy of the watershed and fan deposits of the Jezero crater paleolake system, Mars. Journal of Geophysical Research: Planets, 120, 775–808, https://doi.org/10.1002/2014JE004782.Search in Google Scholar

Griffith, W.P. (1969) Raman spectroscopy of minerals. Nature, 224, 264–266, https://doi.org/10.1038/224264a0.Search in Google Scholar

Haskin, L.A., Wang, A., Rockow, K.M., Jolliff, B.L., Korotev, R.L., and Viskupic, K.M. (1997) Raman spectroscopy for mineral identification and quantification for in situ planetary surface analysis: A point count method. Journal of Geophysical Research: Planets, 102, 19293–19306, https://doi.org/10.1029/97JE01694.Search in Google Scholar

Hecht, M.H., Kounaves, S.P., Quinn, R.C., West, S.J., Young, S.M., Ming, D.W., Catling, D.C., Clark, B.C., Boynton, W.V., Hoffman, J., and others. (2009) Detection of perchlorate and the soluble chemistry of martian soil at the Phoenix lander site. Science, 325, 64–67, https://doi.org/10.1126/science.1172466.Search in Google Scholar

Horgan, B.H., Anderson, R.B., Dromart, G., Amador, E.S., and Rice, M.S. (2020) The mineral diversity of Jezero crater: Evidence for possible lacustrine carbonates on Mars. Icarus, 339, 113526, https://doi.org/10.1016/j.icarus.2019.113526.Search in Google Scholar

Huang, E., Chen, C.H., Huang, T., Lin, E.H., and Xu, J.A. (2000) Raman spectroscopic characteristics of Mg-Fe-Ca pyroxenes. American Mineralogist, 85, 473–479, https://doi.org/10.2138/am-2000-0408.Search in Google Scholar

Iishi, K. (1978) Lattice dynamics of forsterite. American Mineralogist, 63, 1198–1208.Search in Google Scholar

Ishikawa, S.T. and Gulick, V.C. (2013) An automated mineral classifier using Raman spectra. Computers & Geosciences, 54, 259–268, https://doi.org/10.1016/j.cageo.2013.01.011.Search in Google Scholar

Jahoda, P., Drozdovskiy, I., Payler, S.J., Turchi, L., Bessone, L., and Sauro, F. (2021) Machine learning for recognizing minerals from multispectral data. Analyst, 146, 184–195, https://doi.org/10.1039/D0AN01483D.Search in Google Scholar

Kögler, M. and Heilala, B. (2020) Time-gated Raman spectroscopy—A review. Measurement Science & Technology, 32, 012002, https://doi.org/10.1088/1361-6501/abb044.Search in Google Scholar

Kolesov, B.A. and Geiger, C.A. (2004) A Raman spectroscopic study of Fe-Mg olivines. Physics and Chemistry of Minerals, 31, 142–154, https://doi.org/10.1007/s00269-003-0370-y.Search in Google Scholar

Košek, F., Culka, A., Fornasini, L., Vandenabeele, P., Rousaki, A., Mirao, J., Bersani, D., Candeias, A., and Jehlička, J. (2020) Application of a handheld Raman spectrometer for the screening of colored secondary sulfates in abandoned mining areas—The case of the São Domingos Mine (Iberian Pyrite Belt). Journal of Raman Spectroscopy, 51, 1186–1199, https://doi.org/10.1002/jrs.5873.Search in Google Scholar

Kristova, P., Hopkinson, L., Rutt, K., Hunter, H., and Cressey, G. (2013) Quantitative analyses of powdered multi-minerallic carbonate aggregates using a portable Raman spectrometer. American Mineralogist, 98, 401–409, https://doi.org/10.2138/am.2013.4305.Search in Google Scholar

Lafuente, B., Downs, R.T., Yang, H., and Stone, N. (2015) The power of databases: the RRUFF project. In T. Armbruster and R.M. Danisi, Eds., Highlights in Mineralogical Crystallography, p. 1–30. DeGruyter.Search in Google Scholar

Ling, Z., Wang, A., and Jolliff, B.L. (2011) A systematic spectroscopic study of four Apollo lunar soils. Journal of Earth Science, 22, 578–585, https://doi.org/10.1007/s12583-011-0208-3.Search in Google Scholar

Liu, Y., Tice, M.M., Schmidt, M.E., Treiman, A.H., Kizovski, T.V., Hurowitz, J.A., Allwood, A.C., Henneke, J., Pedersen, D.A.K., VanBommel, S.J., and others. (2022) An olivine cumulate outcrop on the floor of Jezero crater, Mars. Science, 377, 1513–1519, https://doi.org/10.1126/science.abo2756.Search in Google Scholar

Long, D.A. (2002) The Raman Effect: A Unified Treatment of the Theory of Raman Scattering by Molecules, Vol. 8, 640 p. Wiley.Search in Google Scholar

Lopez-Reyes, G., Sobron, P., Lefebvre, C., and Rull, F. (2014) What lurks in the martian rocks and soil? Investigations of sulfates, phosphates, and perchlorates. multivariate analysis of raman spectra for the identification of sulfates: Implications for ExoMars. American Mineralogist, 99, 1570–1579, https://doi.org/10.2138/am.2014.4724.Search in Google Scholar

Marshall, C.P., Dufresne, W.J., and Rufledt, C.J. (2020) Polarized Raman spectra of hematite and assignment of external modes. Journal of Raman Spectroscopy, 51, 1522–1529, https://doi.org/10.1002/jrs.5824.Search in Google Scholar

Maubec, N., Lahfid, A., Lerouge, C., Wille, G., and Michel, K. (2012) Characterization of alunite supergroup minerals by Raman spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 96, 925–939, https://doi.org/10.1016/j.saa.2012.07.094.Search in Google Scholar

McKeown, D.A., Bell, M.I., and Caracas, R. (2010) Theoretical determination of the Raman spectra of single-crystal forsterite (Mg2SiO4). American Mineralogist, 95, 980–986, https://doi.org/10.2138/am.2010.3423.Search in Google Scholar

Meslin, P.Y., Forni, O., Beck, P., Cousin, A., Beyssac, O., Lopez-Reyes, G., Benzerara, K., Ollila, A., Mandon, L., Wiens, R.C., and others. (2022) Evidence for perchlorate and sulfate salts in Jezero Crater, Mars, from Super-cam observations. Lunar and Planetary Science Conference, #2694.Search in Google Scholar

Morris, R.V., Klingelhöfer, G., Schröder, C., Rodionov, D.S., Yen, A., Ming, D.W., de Souza, P.A. Jr., Fleischer, I., Wdowiak, T., Gellert, R., and others. (2006) Mössbauer mineralogy of rock, soil, and dust at Gusev crater, Mars: Spirit’s journey through weakly altered olivine basalt on the plains and pervasively altered basalt in the Columbia Hills. Journal of Geophysical Research: Planets, 111, E02S13, https://doi.org/10.1029/2005JE002584.Search in Google Scholar

Morris, R.V., Klingelhoefer, G., Schröder, C., Fleischer, I., Ming, D.W., Yen, A.S., and others. (2008) Iron mineralogy and aqueous alteration from Husband Hill through Home Plate at Gusev crater, Mars: Results from the Mössbauer instrument on the Spirit Mars Exploration Rover. Journal of Geophysical Research: Planets, 113, E12S42.Search in Google Scholar

Nasdala, L., Smith, D.C., Kaindl, R., Ziemann, M.A., Beran, A., and Libowitzky, E. (2004). Raman spectroscopy: analytical perspectives in mineralogical research. Spectroscopic Methods in Mineralogy, 6, 281–343.Search in Google Scholar

Osterloo, M.M., Hamilton, V.E., Bandfield, J.L., Glotch, T.D., Baldridge, A.M., Christensen, P.R., Tornabene, L.L., and Anderson, F.S. (2008) Chloride-bearing materials in the southern highlands of Mars. Science, 319, 1651–1654, https://doi.org/10.1126/science.1150690.Search in Google Scholar

Pan, C., Rogers, A.D., and Thorpe, M.T. (2015) Quantitative compositional analysis of sedimentary materials using thermal emission spectroscopy: 2. Application to compacted fine grained mineral mixtures and assessment of applicability of partial least squares methods. Journal of Geophysical Research: Planets, 120, 1984–2001, https://doi.org/10.1002/2015JE004881.Search in Google Scholar

Panczer, G., De Ligny, D., Mendoza, C., Gaft, M., Seydoux-Guillaume, A.M., and Wang, X. (2012) Raman and fluorescence. EMU Notes in Mineralogy, 12, 61–82.Search in Google Scholar

Popp, J., Tarcea, N., Kiefer, W., Hilchenbach, M., Thomas, N., Stuffler, T., Hofer, S., Stöffler, D., and Greshake, A. (2002) The effect of surface texture on the mineralogical analysis of chondritic meteorites using Raman spectroscopy. Planetary and Space Science, 50, 865–870, https://doi.org/10.1016/S0032-0633(02)00061-2.Search in Google Scholar

Poulet, F., Mangold, N., Platevoet, B., Bardintzeff, J.M., Sautter, V., Mustard, J.F., Bibring, J.-P., Pinet, P., Langevin, Y., Gondet, B., and others. (2009) Quantitative compositional analysis of Martian mafic regions using the MEx/OMEGA reflectance data: 2. Petrological implications. Icarus, 201, 84–101, https://doi.org/10.1016/j.icarus.2008.12.042.Search in Google Scholar

Qi, X., Ling, Z., Liu, P., Chen, J., Cao, H., Liu, C., Wang, X., and Liu, Y. (2023) Quantitative mineralogy of planetary silicate ternary mixtures using Raman spectroscopy. Earth and Space Science, 10, e2023EA002825.Search in Google Scholar

Rogers, A.D. and Christensen, P.R. (2007) Surface mineralogy of Martian lowalbedo regions from MGS TES data: Implications for upper crustal evolution and surface alteration. Journal of Geophysical Research: Planets, 112, E01003, https://doi.org/10.1029/2006JE002727.Search in Google Scholar

Ruff, S.W. (2004) Spectral evidence for zeolite in the dust on Mars. Icarus, 168, 131–143, https://doi.org/10.1016/j.icarus.2003.11.003.Search in Google Scholar

Rull, F., Maurice, S., Hutchinson, I., Moral, A., Perez, C., Diaz, C., Colombo, M., Belenguer, T., Lopez-Reyes, G., Sansano, A., and others, and the on behalf of the RLS Team. (2017) The Raman laser spectrometer for the ExoMars rover mission to Mars. Astrobiology, 17, 627–654, https://doi.org/10.1089/ast.2016.1567.Search in Google Scholar

Scheller, E.L., Razzell Hollis, J., Cardarelli, E.L., Steele, A., Beegle, L.W., Bhartia, R., Conrad, P., Uckert, K., Sharma, S., Ehlmann, B.L., and others. (2022) Aqueous alteration processes in Jezero crater, Mars—Implications for organic geochemistry. Science, 378, 1105–1110, https://doi.org/10.1126/science.abo5204.Search in Google Scholar

Schon, S.C., Head, J.W., and Fassett, C.I. (2012) An overfilled lacustrine system and progradational delta in Jezero crater, Mars: Implications for Noachian climate. Planetary and Space Science, 67, 28–45, https://doi.org/10.1016/j.pss.2012.02.003.Search in Google Scholar

Sharma, S.K., Misra, A.K., Clegg, S.M., Barefield, J.E., Wiens, R.C., Acosta, T.E., and Bates, D.E. (2011) Remote-Raman spectroscopic study of minerals under supercritical CO2 relevant to Venus exploration. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 80, 75–81, https://doi.org/10.1016/j.saa.2011.01.033.Search in Google Scholar

Sowoidnich, K., Maiwald, M., Ostermann, M., and Sumpf, B. (2023) Shifted excitation Raman difference spectroscopy for soil component identification and soil carbonate determination in the presence of strong fluorescence interference. Journal of Raman Spectroscopy, 54, 1327–1340, https://doi.org/10.1002/jrs.6500.Search in Google Scholar

Stopar, J.D., Lucey, P.G., Sharma, S.K., Misra, A.K., Taylor, G.J., and Hubble, H.W. (2005) Raman efficiencies of natural rocks and minerals: Performance of a remote Raman system for planetary exploration at a distance of 10 meters. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 61, 2315–2323, https://doi.org/10.1016/j.saa.2005.02.030.Search in Google Scholar

Sunshine, J.M. and Pieters, C.M. (1993) Estimating modal abundances from the spectra of natural and laboratory pyroxene mixtures using the modified Gaussian model. Journal of Geophysical Research: Planets, 98, 9075–9087, https://doi.org/10.1029/93JE00677.Search in Google Scholar

Tsai, Y.L., Huang, E., Li, Y.H., Hung, H.T., Jiang, J.H., Liu, T.C., Fang, J.-N., and Chen, H.-F. (2021) Raman spectroscopic characteristics of zeolite group minerals. Minerals, 11, 167, https://doi.org/10.3390/min11020167.Search in Google Scholar

Tucker, J.M., Dyar, M.D., Schaefer, M.W., Clegg, S.M., and Wiens, R.C. (2010) Optimization of laser-induced breakdown spectroscopy for rapid geochemical analysis. Chemical Geology, 277, 137–148, https://doi.org/10.1016/j.chemgeo.2010.07.016.Search in Google Scholar

Vaniman, D.T., Bish, D.L., Ming, D.W., Bristow, T.F., Morris, R.V., Blake, D.F., Chipera, S.J., Morrison, S.M., Treiman, A.H., Rampe, E.B., and others. (2014) Mineralogy of a mudstone at Yellowknife Bay, Gale crater, Mars. Science, 343, 1243480.Search in Google Scholar

Veneranda, M., Manrique-Martinez, J.A., Garcia-Prieto, C., Sanz-Arranz, A., Saiz, J., Lalla, E., Konstantinidis, M., Moral, A., Medina, J., Rull, F., and others. (2021) Raman semi-quantification on Mars: ExoMars RLS system as a tool to better comprehend the geological evolution of martian crust. Icarus, 367, 114542, https://doi.org/10.1016/j.icarus.2021.114542.Search in Google Scholar

Veneranda, M., Sanz Arranz, A., Manrique, J.A., Saiz, J., Garcia Prieto, C., Pascual Sánchez, E., Medina, J., Konstantinidis, M., Lalla, E., Moral, A., and others. (2022) Analytical database of Martian minerals (ADaMM): Project synopsis and Raman data overview. Journal of Raman Spectroscopy, 53, 364–381, https://doi.org/10.1002/jrs.6215.Search in Google Scholar

Vennari, C.E. and Williams, Q. (2021) A high-pressure Raman study of FeTiO3 ilmenite: Fermi resonance as a manifestation of Fe-Ti charge transfer. Physics and Chemistry of Minerals, 48, 34, https://doi.org/10.1007/s00269-021-01151-9.Search in Google Scholar

Wang, A., Han, J., Guo, L., Yu, J., and Zeng, P. (1994) Database of standard Raman spectra of minerals and related inorganic crystals. Applied Spectroscopy, 48, 959–968, https://doi.org/10.1366/0003702944029640.Search in Google Scholar

Wang, A., Jolliff, B.L., and Haskin, L.A. (1995) Raman spectroscopy as a method for mineral identification on lunar robotic exploration missions. Journal of Geophysical Research: Planets, 100, 21189–21199, https://doi.org/10.1029/95JE02133.Search in Google Scholar

Wang, A., Jolliff, B.L., Haskin, L.A., Kuebler, K.E., and Viskupic, K.M. (2001) Characterization and comparison of structural and compositional features of planetary quadrilateral pyroxenes by Raman spectroscopy. American Mineralogist, 86, 790–806, https://doi.org/10.2138/am-2001-0703.Search in Google Scholar

Wang, A., Freeman, J.J., and Jolliff, B.L. (2015) Understanding the Raman spectral features of phyllosilicates. Journal of Raman Spectroscopy, 46, 829–845, https://doi.org/10.1002/jrs.4680.Search in Google Scholar

Wang, A., Wei, J., and Korotev, R.L. (2020) Quantification of fluorescence emission from extraterrestrial materials and its significance for planetary Raman spectroscopy. Journal of Raman Spectroscopy, 51, 1636–1651, https://doi.org/10.1002/jrs.5667.Search in Google Scholar

Wiens, R.C., Maurice, S., McCabe, K., Cais, P., Anderson, R.B., Beyssac, O., Bonal, L., Clegg, S.M., Deflores, L., Dromart, G., and others. (2016) The SuperCam remote sensing instrument suite for Mars 2020. 47th Lunar and Planetary Science Conference (No. 1903, p.1322), abstract.Search in Google Scholar

Wiens, R.C., Maurice, S., Robinson, S.H., Nelson, A.E., Cais, P., Bernardi, P., Newell, R.T., Clegg, S., Sharma, S.K., Storms, S., and others. (2021) The SuperCam instrument suite on the NASA Mars 2020 rover: Body unit and combined system tests. Space Science Reviews, 217, 4, https://doi.org/10.1007/s11214-020-00777-5.Search in Google Scholar

Wold, S., Martens, H., and Wold, H. (1983) The multivariate calibration problem in chemistry solved by the PLS method. Lecture Notes in Mathematics, 973, 286–293, https://doi.org/10.1007/BFb0062108.Search in Google Scholar

Wold, S., Sjöström, M., and Eriksson, L. (2001) PLS-regression: A basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems, 58, 109–130, https://doi.org/10.1016/S0169-7439(01)00155-1.Search in Google Scholar

Yaghoobi, M., Wu, D., Clewes, R.J., and Davies, M.E. (2016) Fast sparse Raman spectral unmixing for chemical fingerprinting and quantification. In D. Burgess, G. Owen, H. Bouma, F. Carlysle-Davies, R. J. Stokes, Y. Yitzhaky, Eds., Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII, Vol. 9995. International Society for Optics and Photonics.Search in Google Scholar

Zarei, M., Solomatova, N.V., Aghaei, H., Rothwell, A., Wiens, J., Melo, L., Good, T.G., Shokatian, S., and Grant, E. (2023) Machine learning analysis of Raman spectra to quantify the organic constituents in complex organic-mineral mixtures. Analytical Chemistry, 95, 15908–15916, https://doi.org/10.1021/acs.analchem.3c02348.Search in Google Scholar

Zastrow, A.M. and Glotch, T.D. (2021). Distinct carbonate lithologies in Jezero crater, Mars. Geophysical Research Letters, 48, e2020GL092365.Search in Google Scholar

Zhang, Z.M., Chen, S., and Liang, Y.Z. (2010) Baseline correction using adaptive iteratively reweighted penalized least squares. Analyst, 135, 1138–1146, https://doi.org/10.1039/b922045c.Search in Google Scholar

Received: 2023-10-13
Accepted: 2024-04-14
Published Online: 2025-01-18
Published in Print: 2025-01-29

© 2025 Mineralogical Society of America

Downloaded on 20.9.2025 from https://www.degruyterbrill.com/document/doi/10.2138/am-2023-9224/html
Scroll to top button