1. Introduction
The characterization and study of lunar meteorites have provided unique and fundamental information about the Moon, contributing decisively to our understanding of its lithological diversity and geological evolution over time [
1,
2,
3,
4,
5]. Although the Apollo (USA) and Luna (USSR) missions have provided a huge amount of data on the composition and history of our satellite, these samples come from geographically limited areas of the visible side and do not necessarily represent the overall composition of the lunar surface [
6]. Lunar meteorites, on the other hand, constitute a much broader and more random geological archive: although their precise origin on the lunar surface is unknown, they are believed to represent a global sampling of the crust, including fragments from both the near and far sides, as well as from the polar regions [
1,
6]. Only in a few cases, for exceptional compositions it was possible to hypothesize a crater of specific origin [
7,
8]. Furthermore, lunar meteorites increase the number of “virtually” available samples and provide critical ground truth for orbital investigations. They help constrain the interpretation of spectral and chemical anomalies detected at regional scales, thereby contributing to a more complete understanding of the evolution of the lunar crust and mantle [
9]. Studies of this type are strategically valuable in supporting the interpretation of remote sensing data collected by lunar orbital missions. In fact, the information obtained in the laboratory serves as the “ground truth” for orbital data, which are used to calibrate remote sensing geochemical datasets, providing a more accurate global perspective of the chemical diversity of the lunar surface [
9,
10].
Lunar meteorites are also valuable testbeds for Moon exploration, giving access to real samples for future planned missions. Even small samples can be extremely helpful to understand the complex mineralogy of the Moon as well as to access interesting areas not targeted by sample return missions. One the one hand, meteorites can be compared with remote sensing, supporting the interpretation of data acquired by our satellites; on the other hand, they are pivotal samples to test under development instruments to be launched with future lunar missions [
11].
An interesting sample is the lunar meteorite Northwest Africa 11421 (NWA 11421), a feldspathic breccia discovered in 2017 in Morocco, with a total recovered mass of 912 g [
12]. It belongs to the NWA 8046 clan. From a petrographic point of view, NWA 11421 consists of angular to sub-rounded whitish clasts, up to about 1 cm in size, embedded in a greyish, vitreous groundmass. The matrix also contains dispersed mineral fragments. The dominant mineral phases are low-calcium pyroxene (LCP), high-calcium pyroxene (HCP), and olivine and calcic plagioclase, while minor constituents include chromite, ilmenite, fayalite, pyrrhotite, Fe–Ni metal, and barite. Some regions exhibit melt regions showing quenching textures characterized by dendritic pyroxene and plagioclase [
12]. Of particular significance is the discovery, within NWA 11421, of a dunite clast measuring approximately 1 cm, interpreted as the first fragment of lunar mantle material identified to date [
13,
14]. The clast is composed of 95% olivine (Fo83), with LCPs and HCPs, plagioclase, and chrome spinel. The homogeneous composition of the minerals suggests an internal chemical equilibrium, and thermobarometry indicates that the dunite has equilibrated at approximately 980 ± 20 °C and 0.4 ± 0.1 GPa. Since the pressure at the base of the lunar crust is only 0.14–0.18 GPa, this value corresponds to a depth of approximately 88 ± 22 km, within the upper lunar mantle [
14]. Regarding this study, although the presence of small fragments potentially derived from the dunite clast within the breccia cannot be completely ruled out, this work does not aim to characterize the dunite clast itself as a distinct component derived from the mantle. Rather, the spectroscopic investigation is dedicated to the breccia that hosts this unique lithology.
For a valuable and original non-destructive characterization of NWA 11421, an integrated approach is proposed in this work combining VIS–IR (VISible and near/mid-InfraRed) bulk spectroscopy, micro-IR mapping, and micro-EDXRF (Energy Dispersive X-Ray Fluorescence) mapping. Bulk spectral reflectance measurements provide the overall spectral signature of the meteorite, which can be directly compared with orbital data, while IR micro-spectroscopy (e.g., using micro-FTIR) on thin samples allows the identification and mapping of mineralogical phases on a micrometric scale, thanks to their characteristic spectral features [
15,
16,
17]. In particular, minerals such as plagioclase, pyroxene, and olivine show distinctive spectral patterns in the mid-infrared, recognizable through reststrahlen bands (RBs) and the position of the Christiansen Feature (CF), whose systematic variation allows the different mineralogical compositions to be distinguished [
11]. At the same time, elementary analyses using micro-EDXRF provide high-resolution chemical mapping, complementing spectral observations and allowing compositional variations to be correlated with the identified spectroscopic signatures.
Although IR spectroscopy is widely employed in the study and characterization of meteorites (e.g., carbonaceous chondrites), its application to lunar meteorites remains limited. Only a few targeted studies have explored IR or micro-IR techniques on lunar samples [
18,
19] other than NWA 11421, and no IR-based investigations on NWA 11421 have been reported to date. This multi-scale, non-destructive strategy is designed, for the first time in the study of NWA 11421, to capture the full spectral complexity of the sample and enables the identification and characterization of mineral phases at both macro- and micro-scales. In this work, it is specifically applied to investigate the mineralogical composition of NWA 11421, to constrain the relative contributions of feldspathic and mafic components within the breccia, and to assess their spatial organization across different length scales. By integrating bulk, meso-scale, and micro-scale spectroscopic analyses, this study aims to provide new insights into the lithological nature and mixing processes of the breccia. This approach constrains the relative contributions of crustal versus deeper sources recorded by the meteorite and evaluates its relevance as a reference material for the calibration and interpretation of orbital and in situ spectral data. This methodology establishes a robust framework for linking laboratory spectroscopy with remote sensing observations and supports future applications in planetary surface exploration and resource identification and utilization.
2. Material and Methods
Sample description. A fragment of the officially classified lunar meteorite NorthWest Africa (NWA) 11421 (Meteoritical Bulletin, no. 106) [
12] was used in this study. The specimen (mass: 246 mg; dimensions: 3.2 × 5.1 × 0.9 mm) was purchased in 2023 from a meteorite commercial dealer. Upon reception, the sample was registered under the internal laboratory ID Arcetri-NWA11421-1. According to the seller’s documentation and the Meteoritical Bulletin Database, NWA 11421 is a feldspathic breccia containing anorthositic clasts and glassy impact-derived components.
VIS-IR bulk spectroscopy. The characterization of the samples was performed by DRIFTS (Diffuse Reflectance Infrared Fourier Transform Spectroscopy). DRIFTS measurements were carried out at INAF—Astrophysical Observatory of Arcetri using a Bruker VERTEX 70v FTIR instrument (Bruker, Ettlingen, Germany) equipped with a Praying MantisTM Diffuse Reflection Accessory (Harrick DRIFT, Harrick Scientific, Pleasantville, NY, USA). For the VIS range, measurements were performed using a tungsten–halogen lamp as the radiation source, coupled with InGaAs, Ge, and Si detectors, and a CaF2 beamsplitter. For the IR range, a Globar source was employed together with a DigiTech DLaTGS detector (Bruker) and a KBr beamsplitter (Bruker). Spectra were acquired using 500 scans of the interferometer with a resolution of 4 cm−1 in the wavenumber range 28,000–400 cm−1 (0.3–25 µm).
μ-IR spectroscopy. The VERTEX 70v spectrometer is also interfaced with a Bruker HYPERION 1000 μ-FTIR microscope (Bruker), where two detectors are available for this instrument: (i) a classical MCT detector with a lateral resolution limited by the mechanical apertures of the instrument and the sample signal (typical resolution is hundred microns); (ii) a multi-element focal-plane array (FPA) detector for infrared imaging (64 × 64 pixel) with a lateral resolution determined by the pixel dimension (2 microns) and light diffraction in the measured wavelength range (typically between two and tens of microns). A global map of both faces was acquired using the μ-FTIR microscope with MCT detector with a spatial resolution of about 350 μm and 25 scans for each spectrum. Spectra were then integrated using the main bands of major mineral phases to realize distribution maps. Moreover, to investigate mineralogical variability at the micro-scale, focal plane array (FPA) infrared hyperspectral mapping was performed on several petrographically distinct microdomains, each spanning spatial dimensions on the order of tens of micrometers. Cluster analysis (K-means algorithm with Savitzky–Golay smoothing mode) was then applied to the resulting hyperspectral dataset to group pixels with similar spectral behavior and extract representative average spectra for each microdomain. This approach enables the identification of distinct mineralogical units (i.e., clusters) while minimizing local noise and sub-pixel variability, providing a robust basis for subsequent compositional interpretation.
Spectral fitting. The average cluster spectra from μ-FTIR microscope FPA measurements were fitted with a multi-Gaussian approach in order to identify the major components for each cluster. The workflow implemented is the following: (i) nonnegative least-squares (NLS) curve fitting based on mineralogical phases retrieved from Meteoritical Bulletin; (ii) multi-Gaussian curve fitting with fixed Gaussian position based on major mineralogical phases retrieved by NLS fitting results.
Specifically, in the NLS fitting procedure, each spectrum was analyzed using as reference the laboratory (RELAB) spectra of major and minor mineral phases identified in NWA 11421, including albite, andesine, anorthite, bytownite, enstatite, forsteritic olivine, fayalitic olivine, ferrosilite, labradorite, oligoclase, and pigeonite. This approach allowed an unbiased first-order estimation of the most plausible mineralogical contributors for each microdomain. The resulting best-fit models, expressed as relative mineral proportions, are shown in
Figure S1 and Table S1 in the Supplementary Materials. In the spectral fitting output, major mineralogical phases (anorthite, forsteritic olivine, and LCPs) closely match the reported major phases in the Meteoritical Bulletin report. The results reinforce the interpretation that the micro-scale mineralogy reflects the same feldspathic and pyroxene-rich assemblage identified at the bulk scale.
In the second step, we proceeded with a multi-Gaussian fitting analysis (
Figure S2 and Table S2). We used only the major mineral phases obtained from NLS fitting for each cluster, discarding minor contributions from intermediate members that likely reflect spectral overlap rather than true petrographic presence. To refine the classification and quantify the proportions of the main mineral phases, the diagnostic absorption features of each spectrum were deconvolved, using a series of Gaussian functions, into their characteristic vibrational components. Specifically, the following wavenumber markers were used to fit multiple Gaussians: anorthite (933, 1024, 1106, and 1162 cm
−1), forsterite (834 and 948 cm
−1), pigeonite (958, 885, and 1101 cm
−1), and ferrosilite (893 and 1020 cm
−1). To avoid overfitting and to take into account the poor sensibility of infrared spectroscopy below a few percent abundance, and according to the percentage of anorthite obtained by the first fitting procedure, we decided to use a different combination of peaks for each cluster. In detail, when the percentage of anorthite identified in the NLS fitting was more than 1%, we did not use the peaks of ferrosilite. Instead, if this was not the case and anorthite abundance was less than 1%, we used one more peak of olivine (at 1056 cm
−1) and all the peaks of ferrosilite, excluding any peaks of anorthite. The decision to switch between anorthite and ferrosilite was made with the purpose of maintaining coherence with the anti-correlated distribution of these two major phases observed using the μ-FTIR MCT maps.
μ-EDXRF. Elemental characterization was carried out using a Bruker M4 TORNADO µ-XRF spectrometer (Bruker) equipped with two air-cooled Rh tubes. The tube used operated between 10 and 50 kV and 100 and 600 μA and was coupled to a polycapillary lens providing a lateral resolution of 25 μm (Mo Kα). Fluorescence was detected with a 30 mm2 SDD detector with 142 eV energy resolution (Mn Kα). Analyses were performed under vacuum (20 mbar) using an MV10 N VARIO-B pump (VACUUBRAND GMBH + CO KG, Wertheim, Germany) to improve detection of light elements. No sample preparation was required. The analytical procedure involved first acquiring a µ-EDXRF elemental map to evaluate elemental distributions and identify concentration hotspots. Semi-quantitative compositions were then obtained from the mapped data, strengthening the complementarity with the other spectroscopic techniques used in the paper and supporting the final interpretations. Although, we acknowledge a limited sensitivity of the XRF technique to elements lighter than Mg.
3. Results
3.1. Macro-Scale IR (Bulk)
The reflectance spectra acquired on the two exposed surfaces of NWA 11421, the light-toned “D-face” and the darker “S-face”, show a high degree of similarity over the full VIS–IR range (
Figure 1).
Both spectra display prominent absorption centered at 10,764 cm
−1 (0.93 µm) for the D-face and at 10,848 cm
−1 (0.92 µm) for the S-face. This band is attributed to Fe
2+ crystal-field electronic transitions in the M2 crystallographic site of pyroxenes. A second broad absorption is observed near 4800 cm
−1 (2.08 µm), which is assigned to Fe
2+ crystal-field transitions responsible for the characteristic 2 µm band of pyroxenes. A subtle band appears around 8300 cm
−1 (~1.2 µm). This spectral feature lies at the boundary between the MIR and VIS-NIR acquisition ranges, where instrumental continuity is limited. Therefore, this band is provisionally attributed to weaker Fe
2+ transitions in the M1 site of pyroxenes. Therefore, this assignment must be considered with caution. Overall, the positions and shapes of the 1 and 2 µm absorptions are fully consistent with the behavior of Fe
2+ crystal-field transitions in LCPs. As established by laboratory studies [
20,
21,
22,
23,
24], these absorptions reflect a convolution of compositional, structural, and textural factors, with band positions generally shifting to longer wavelengths as Fe
2+ and Ca
2+ contents increase. The band centers observed here therefore point to pyroxenes within the low-Ca compositional field, consistent with ortho- and clinopyroxene mineralogies described in the literature.
Spectra acquired on the two faces show an absorption band near 3500 cm−1 (2.86 µm), which is assigned to OH-stretching vibrations. Additional weak absorptions in the 3000–2800 cm−1 region are attributed to C–H stretching modes of organic compounds. Bands observed at 2512 cm−1 (3.98 µm) and 2592 cm−1 (3.86 µm) are assigned to vibrational modes associated with carbonate groups.
Christiansen Features (CFs) are present in the spectra at 1232 cm−1 (8.12 µm) and 1230 cm−1 (8.13 µm) for the D-face and S-face, respectively. This feature is diagnostic of feldspathic materials and is commonly observed in plagioclase-rich assemblages.
Below the CF, the spectra exhibit a series of well-resolved characteristic peaks of feldspathic lunar material according to RELAB spectra references (
Table S3). The band at 1160 cm
−1 (8.62 µm) is assigned to vibrational modes of calcic plagioclase. A doublet between 1110 cm
−1 (9.01 µm) and 1100 cm
−1 (9.09 µm) is also observed and is attributed to overlapping contributions from calcic plagioclase and LCPs. The relative intensity of these two components differs between the two surfaces: the 1100 cm
−1 peak is more intense in the S-face spectrum, whereas the 1110 cm
−1 component is more pronounced in the D-face. Additional bands at 1020 cm
−1 (9.80 µm) and at 934 cm
−1 (10.71 µm) are assigned to fundamental vibrational modes of feldspar. A shoulder at 834 cm
−1 (12.0 µm) is attributed to forsteritic olivine. At lower wavenumbers, a cluster of peaks occurs at 754 cm
−1 (13.26 µm), 725 cm
−1 (13.79 µm), and 673 cm
−1 (14.85 µm), which are diagnostic of calcic plagioclase. Further feldspar-related absorptions are present at 620 cm
−1 (16.13 µm), 602 cm
−1 (16.61 µm), 588 cm
−1 (17.01 µm), 565 cm
−1 (17.70 µm), and 536 cm
−1 (18.66 µm), followed by weaker bands at 484 cm
−1 (20.66 µm) and 466 cm
−1 (21.46 µm). The 602–588 cm
−1 doublet is more intense in the D-face spectrum than in the S-face.
Overall, the spectral features observed in both surfaces are dominated by absorptions assigned to calcic plagioclase, with additional contributions from LCPs and forsteritic olivine, together with secondary features related to OH, organic compounds, and carbonates.
3.2. Meso-Scale IR
Moving from the macro-scale to the meso-scale, the MCT-based infrared analysis provides spatially resolved information on the distribution of the main mineral phases identified in the bulk spectra. Both the S-face and the D-face were mapped, focusing on anorthite, forsteritic olivine, and LCPs.
Representative diagnostic peaks were selected for each mineral phase: (i) 934 cm−1, assigned to the main vibrational mode of calcic plagioclase (anorthite); (ii) 834 cm−1, attributed to forsteritic olivine and chosen because it is the only olivine-related feature clearly resolvable in this spectral region; (iii) 1100 cm−1, assigned to LCPs, consistently with the bulk spectral observations.
The intensity maps obtained from the 934 cm
−1 band show that the anorthositic component is pervasive across both faces of the sample, although with variable signal intensity (
Figure 2). The 834 cm
−1 maps reveal that olivine is more abundant on the S-face, whereas it appears significantly less prominent on the D-face. The spatial distribution of the 1100 cm
−1 band indicates that LCP follows a pattern similar to that of olivine, with higher intensities on the S-face and lower intensities on the D-face.
Spatial comparisons between the three diagnostic maps show that olivine exhibits a co-localization with the anorthositic component, while LCP displays a tendency toward anti-correlation with the anorthositic matrix. In addition, the ratio between the anorthite signal (934 cm−1) and the combined olivine–LCP signals (834 and 1100 cm−1) is higher on the D-face than on the S-face, indicating a relative enhancement of the anorthositic spectral contribution on the D-face.
Overall, the MCT analysis reveals systematic variations in the relative abundance and spatial distribution of anorthite, olivine, and LCPs across the two exposed surfaces, providing spatially resolved confirmation of the mineralogical components identified in the bulk spectra.
Supplementary micro-EDXRF elemental maps (
Figure S3) independently support the MCT results. High Al abundances are spatially associated with anorthite, consistent with the Al-rich composition of calcic plagioclase. Regions characterized by dominant Fe and low Mg contents are attributed to Fe-rich pyroxenes, such as ferrosilite. Olivine-bearing microdomains are identified by the co-occurrence of Mg and Fe in the absence of Ca, typically in clasts smaller than ~50 µm. Conversely, very high Ca abundances are diagnostic of anorthositic regions. The combined elemental distributions therefore corroborate the phase assignments derived from the MCT infrared mapping.
3.3. Micro-Scale IR
After characterizing the breccia at the macro-scale (bulk) and meso-scale (MCT), we extended our investigation to the micron scale through FPA hyperspectral mapping. The FPA hyperspectral datasets were analyzed using the spectral fitting procedures described in the Material and Methods section. These fitting approaches allowed the identification and comparison of the relative spectral contributions of anorthite, olivine, and LCPs (pigeonite and ferrosilite) within the different clusters and mapped microdomains. As shown in
Figure 3 and
Figure 4, four micro-scale regions were analyzed: three on the D-face (D1, D2, D3) and one on the S-face (S1). Within each region, clusters (C#) were extracted and assigned to dominant mineralogical components based on their diagnostic spectral features. Two main spectral domains and a third separate case for mineral inclusions were identified.
The first domain is characterized by spectra dominated by anorthite features, corresponding to the breccia matrix. Within this domain, a progressive transition is observed from spectra approaching nearly pure anorthite (blue-toned, from D3C4) to spectra showing increasing contributions of olivine (cyano-toned, up to D2C3), while retaining a minor but persistent contribution from LCPs. These clusters define a continuous spectral gradation from plagioclase-dominated to mixed plagioclase–olivine compositions.
The second domain comprises clusters in which anorthite features are negligible. They are dominated either by LCPs, such as pigeonite and ferrosilite (red-toned inclusions), or by olivine (green-toned inclusions), with intermediate clusters showing transitional compositions in which LCPs and olivine occur in comparable abundances (yellow-toned inclusions).
Finally, mineral inclusions represent a separate case and were analyzed independently. These inclusions, identified as clusters D2C0, S1C0, and D1C0, display spectral characteristics distinct from the surrounding matrix (
Figure 3 and
Figure 4).
For S1C0, the spectrum is characterized by a systematic redshift of the CF and of the RB relative to the surrounding matrix, while preserving the overall band shapes and their relative intensities. No significant broadening or suppression of the main vibrational features is observed, and the spectral morphology remains comparable to that of plagioclase-dominated clusters, apart from the shift in peak positions. Cluster D1C0 also exhibits a redshift of the CF and RB, although less pronounced than in S1C0. In addition, its spectrum is characterized by noticeable band broadening and by a flattening of the reflectance peaks, with some features becoming weakly expressed compared to the surrounding matrix, providing direct evidence for shock-related modification of plagioclase. These features are consistent with partial amorphization and represent transitional states between crystalline anorthite and diaplectic glass (maskelynite) [
15]. Cluster D2C0 shows spectral characteristics that cannot be confidently assigned at this stage. Although spectral fitting suggests a predominantly anorthositic composition, its overall band morphology differs markedly from both the matrix and the other inclusions. Furthermore, the presence of absorptions around 1600 cm
−1 could indicate organic contamination, which complicates interpretation and prevents a definitive assessment of the alteration processes affecting this inclusion.
Overall, the FPA analysis shows that the majority of the mapped regions are spectrally dominated by anorthite, in agreement with the trends observed in the bulk and MCT reflectance analyses. Diagnostic anorthite vibrational modes are pervasive across the dataset, confirming the presence of a continuous anorthositic matrix throughout the analyzed areas. At the same time, the cluster-derived spectra reveal a heterogeneous mineralogical assemblage at the micro-scale, defining a systematic organization of the breccia into: (i) an anorthite-dominated matrix with variable contributions of olivine; (ii) mafic microdomains dominated by LCPs and olivine; (iii) discrete inclusions characterized by modified spectral behavior.
5. Conclusions
In this work, we present a multi-scale, non-destructive characterization of the lunar meteorite NWA 11421 combining VIS–IR bulk spectroscopy, μ-FTIR imaging (MCT and FPA), and μ-EDXRF analysis. This integrated approach demonstrates how laboratory spectroscopy can provide a robust framework for linking meteorite studies with orbital remote sensing, with the potential to strengthen the role of lunar meteorites in global investigations of the Moon’s composition from the perspective of exploration.
The dataset consistently indicates that NWA 11421 is dominated by anorthositic lithologies, in agreement with its classification as a feldspathic breccia, while hosting a significant mafic component in the form of olivine and LCPs (pigeonite and ferrosilite). At the bulk and meso-scale, the anorthositic matrix contains substantial olivine contributions, defining troctolitic compositions, while LCP-rich domains are spatially anti-correlated with the feldspathic matrix. This organization reflects the polymict nature of the breccia and records impact-driven mixing of lithologies with different petrogenetic origins. At the micro-scale, discrete mafic domains dominated by olivine and LCPs are observed within the anorthositic matrix, demonstrating that lithological heterogeneity is preserved down to the micron scale.
Moreover, the bulk near-infrared pyroxene band positions and the CF values establish a direct link between laboratory measurements and orbital remote sensing data. The near-infrared bands fall within the orthopyroxene field, confirming the dominance of LCPs and suggesting relatively mafic and primitive components. This mafic character is further supported by the CF position of NWA 11421, which lies closer to the pyroxene corner of the silicate ternary diagram compared to typical Apollo highland samples. In addition, the CF value of NWA 11421 matches those observed by the Diviner Lunar Radiometer Experiment in lunar crater-ejecta regions, reinforcing the consistency between laboratory spectra and impact-excavated materials identified from orbit.
From a broader scientific perspective, this study can show how multi-scale laboratory spectroscopy can refine the interpretation of orbital mineralogical maps and improve our understanding of crustal and deep-seated lunar lithologies. In addition, it could provide a methodological template that can be applied to other meteorites and future returned samples. In the context of future Moon missions, our results could be particularly relevant for the identification and characterization of crater-related terrains as key targets for accessing mafic and potentially mantle-proximal materials. Although meteorite studies cannot replace in situ investigations, they can provide complementary constraints for landing site selection, mission planning, and resource assessment (ISRU). Consequently, this study could serve both as a scientific reference for lunar processes and as a guide for future exploration strategies aimed at understanding and utilizing the Moon’s geological diversity.