XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3 1585
are abundantly found in the flotation concentrate. This
suggests that flotation is not selective enough regarding
these two minerals. The observation of this flotation con-
centrate suggests that the collector concentration used may
be too high.
DISCUSSIONS AND CONCLUSIONS
The present study has led to the development of an auto-
mated mineralogy method. This method allows for realis-
tic mineralogical classification of various samples such as
thin and polished sections. Mineralogical quantifications
have been verified using common mineralogical reconcili-
ation methods such as matrix calculation based on sample
chemistry. Moreover, this quantitative mineralogy method
offers great flexibility through the combination of different
analytical methods. The use of emerging methods such as
µLIBS allows to obtain the elemental distribution of light
elements. This is significant in the context of the case study
conducted, as the Beauvoir granite is a differentiated gran-
ite enriched in light elements.
The addition of automated in situ analysis methods
is easily conceivable and could provide additional charac-
terization finesse. Such methods have only been identified
once in the literature (Maragh, 2021). Otherwise, they
are limited to hyperspectral analyses of cores and not to
finer samples (Nikonow et al., 2019 Paradis et al., 2021).
It should be noted that manual classification, using the
MARCIA code, is considered an asset in this study. Given
the increasing complexity of metal deposits, it allows for
great adaptability to samples with complex mineralogy and
textures. The use of the developed method in the case study
of lepidolite flotation has identified the scientific and tech-
nical challenges related to the valorization of lepidolite, a
key mineral for the valorization of the Beauvoir granite and
for the European energy transition.
REFERENCES
Alekseev, V.I., Marin, Yu.B., Gavrilenko, V.V., 2019. Rare
Metal Mineralization of Tin Manifestations in the Area
of Lithium-Fluoric Granites (Verkhneurmiysk Ore
Cluster, The Amur River Region). TG 38, 27–40. doi:
10.30911/0207-4028-2019-38-2-27-40.
Buchmann, M., Schach, E., Tolosana-Delgado, R.,
Leißner, T., Astoveza, J., Kern, M., Möckel, R.,
Ebert, D., Rudolph, M., van den Boogaart, K.,
Peuker, U., 2018. Evaluation of Magnetic Separation
Efficiency on a Cassiterite-Bearing Skarn Ore by
Means of Integrative SEM-Based Image and XRF–
XRD Data Analysis. Minerals 8, 390. doi: 10.3390
/min8090390.
Cáceres, J.O., Pelascini, F., Motto-Ros, V., Moncayo, S.,
Trichard, F., Panczer, G., Marín-Roldán, A., Cruz, J.A.,
Coronado, I., Martín-Chivelet, J., 2017. Megapixel
multi-elemental imaging by Laser-Induced Breakdown
Spectroscopy, a technology with considerable poten-
tial for paleoclimate studies. Sci Rep 7, 5080. doi:
10.1038/s41598-017-05437-3.
Christmann, P., Gloaguen, E., Labbé, J.-F., Melleton, J.,
Piantone, P., 2015. Global Lithium Resources and
Sustainability Issues, in: Lithium Process Chemistry.
Elsevier, pp. 1–40. doi: 10.1016/B978-0-12
-801417-2.00001-3.
Demeusy, B., Arias-Quintero, C.A., Butin, G., Lainé, J.,
Tripathy, S.K., Marin, J., Dehaine, Q., Filippov, L.O.,
2023. Characterization and Liberation Study of the
Beauvoir Granite for Lithium Mica Recovery. Minerals
13, 950. doi: 10.3390/min13070950.
Fandrich, R., Gu, Y., Burrows, D., Moeller, K., 2007.
Modern SEM-based mineral liberation analysis.
International Journal of Mineral Processing 84, 310–
320. doi: 10.1016/j.minpro.2006.07.018.
Garrett, D.E., 2004. Handbook of Lithium and Natural
Calcium Chloride 483.
Gloaguen, E., Melleton, J., Lefebvre, G., Tourlière, B.,
Yart, S., 2018. Ressources métropolitaines en lithium
et analyse du potentiel par méthodes de prédictivité
(Rapport public No. BRGM/RP-68321-FR).
Guggenheim, S., 1981. Cation ordering in lepidolite.
American Mineralogist 66, 1221–123.
Jaskula, B.W., 2017. 2017 Minerals Yearbook—Lithium.
U.S. Geological Survey.
Kesler, S.E., Gruber, P.W., Medina, P.A., Keoleian, G.A.,
Everson, M.P., Wallington, T.J., 2012. Global lithium
resources: Relative importance of pegmatite, brine and
other deposits. Ore Geology Reviews 48, 55–69. doi:
10.1016/j.oregeorev.2012.05.006.
Korbel, C., Filippova, I., Filippov, L., 2023. Froth flotation
of lithium micas–A review. Minerals Engineering 192,
107986.
Kosakevitch, A., 1976. Evolution de la minéralisation en
Li, Ta et Nb dans la coupole granitique de Beauvoir
(massif d’Echassières, Allier) (Rapport BRGM).
La Tour, T.E., 1989. Analysis of rocks using X-ray fluores-
cence spectrometry. The Rigaku Journal 6, 3–9.
Maragh, J.M., 2021. A multiscale framework for the che-
momechanical characterization of ancient heteroge-
neous materials. Massachusetts Institute of Technology.
are abundantly found in the flotation concentrate. This
suggests that flotation is not selective enough regarding
these two minerals. The observation of this flotation con-
centrate suggests that the collector concentration used may
be too high.
DISCUSSIONS AND CONCLUSIONS
The present study has led to the development of an auto-
mated mineralogy method. This method allows for realis-
tic mineralogical classification of various samples such as
thin and polished sections. Mineralogical quantifications
have been verified using common mineralogical reconcili-
ation methods such as matrix calculation based on sample
chemistry. Moreover, this quantitative mineralogy method
offers great flexibility through the combination of different
analytical methods. The use of emerging methods such as
µLIBS allows to obtain the elemental distribution of light
elements. This is significant in the context of the case study
conducted, as the Beauvoir granite is a differentiated gran-
ite enriched in light elements.
The addition of automated in situ analysis methods
is easily conceivable and could provide additional charac-
terization finesse. Such methods have only been identified
once in the literature (Maragh, 2021). Otherwise, they
are limited to hyperspectral analyses of cores and not to
finer samples (Nikonow et al., 2019 Paradis et al., 2021).
It should be noted that manual classification, using the
MARCIA code, is considered an asset in this study. Given
the increasing complexity of metal deposits, it allows for
great adaptability to samples with complex mineralogy and
textures. The use of the developed method in the case study
of lepidolite flotation has identified the scientific and tech-
nical challenges related to the valorization of lepidolite, a
key mineral for the valorization of the Beauvoir granite and
for the European energy transition.
REFERENCES
Alekseev, V.I., Marin, Yu.B., Gavrilenko, V.V., 2019. Rare
Metal Mineralization of Tin Manifestations in the Area
of Lithium-Fluoric Granites (Verkhneurmiysk Ore
Cluster, The Amur River Region). TG 38, 27–40. doi:
10.30911/0207-4028-2019-38-2-27-40.
Buchmann, M., Schach, E., Tolosana-Delgado, R.,
Leißner, T., Astoveza, J., Kern, M., Möckel, R.,
Ebert, D., Rudolph, M., van den Boogaart, K.,
Peuker, U., 2018. Evaluation of Magnetic Separation
Efficiency on a Cassiterite-Bearing Skarn Ore by
Means of Integrative SEM-Based Image and XRF–
XRD Data Analysis. Minerals 8, 390. doi: 10.3390
/min8090390.
Cáceres, J.O., Pelascini, F., Motto-Ros, V., Moncayo, S.,
Trichard, F., Panczer, G., Marín-Roldán, A., Cruz, J.A.,
Coronado, I., Martín-Chivelet, J., 2017. Megapixel
multi-elemental imaging by Laser-Induced Breakdown
Spectroscopy, a technology with considerable poten-
tial for paleoclimate studies. Sci Rep 7, 5080. doi:
10.1038/s41598-017-05437-3.
Christmann, P., Gloaguen, E., Labbé, J.-F., Melleton, J.,
Piantone, P., 2015. Global Lithium Resources and
Sustainability Issues, in: Lithium Process Chemistry.
Elsevier, pp. 1–40. doi: 10.1016/B978-0-12
-801417-2.00001-3.
Demeusy, B., Arias-Quintero, C.A., Butin, G., Lainé, J.,
Tripathy, S.K., Marin, J., Dehaine, Q., Filippov, L.O.,
2023. Characterization and Liberation Study of the
Beauvoir Granite for Lithium Mica Recovery. Minerals
13, 950. doi: 10.3390/min13070950.
Fandrich, R., Gu, Y., Burrows, D., Moeller, K., 2007.
Modern SEM-based mineral liberation analysis.
International Journal of Mineral Processing 84, 310–
320. doi: 10.1016/j.minpro.2006.07.018.
Garrett, D.E., 2004. Handbook of Lithium and Natural
Calcium Chloride 483.
Gloaguen, E., Melleton, J., Lefebvre, G., Tourlière, B.,
Yart, S., 2018. Ressources métropolitaines en lithium
et analyse du potentiel par méthodes de prédictivité
(Rapport public No. BRGM/RP-68321-FR).
Guggenheim, S., 1981. Cation ordering in lepidolite.
American Mineralogist 66, 1221–123.
Jaskula, B.W., 2017. 2017 Minerals Yearbook—Lithium.
U.S. Geological Survey.
Kesler, S.E., Gruber, P.W., Medina, P.A., Keoleian, G.A.,
Everson, M.P., Wallington, T.J., 2012. Global lithium
resources: Relative importance of pegmatite, brine and
other deposits. Ore Geology Reviews 48, 55–69. doi:
10.1016/j.oregeorev.2012.05.006.
Korbel, C., Filippova, I., Filippov, L., 2023. Froth flotation
of lithium micas–A review. Minerals Engineering 192,
107986.
Kosakevitch, A., 1976. Evolution de la minéralisation en
Li, Ta et Nb dans la coupole granitique de Beauvoir
(massif d’Echassières, Allier) (Rapport BRGM).
La Tour, T.E., 1989. Analysis of rocks using X-ray fluores-
cence spectrometry. The Rigaku Journal 6, 3–9.
Maragh, J.M., 2021. A multiscale framework for the che-
momechanical characterization of ancient heteroge-
neous materials. Massachusetts Institute of Technology.