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Origin of Isotopic Diversity among Carbonaceous Chondrites

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Published 2023 March 29 © 2023. The Author(s). Published by the American Astronomical Society.
, , Citation Jan L. Hellmann et al 2023 ApJL 946 L34 DOI 10.3847/2041-8213/acc102

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Abstract

Carbonaceous chondrites are some of the most primitive meteorites and derive from planetesimals that formed a few million years after the beginning of the solar system. Here, using new and previously published Cr, Ti, and Te isotopic data, we show that carbonaceous chondrites exhibit correlated isotopic variations that can be accounted for by mixing among three major constituents having distinct isotopic compositions, namely refractory inclusions, chondrules, and CI chondrite-like matrix. The abundances of refractory inclusions and chondrules are coupled and systematically decrease with increasing amount of matrix. We propose that these correlated abundance variations reflect trapping of chondrule precursors, including refractory inclusions, in a pressure maximum in the disk, which is likely related to the water ice line and the ultimate formation location of Jupiter. The variable abundance of refractory inclusions/chondrules relative to matrix is the result of their distinct aerodynamical properties resulting in differential delivery rates and their preferential incorporation into chondrite parent bodies during the streaming instability, consistent with the early formation of matrix-poor and the later accretion of matrix-rich carbonaceous chondrites. Our results suggest that chondrules formed locally from isotopically heterogeneous dust aggregates, which themselves derive from a wide area of the disk, implying that dust enrichment in a pressure trap was an important step to facilitate the accretion of carbonaceous chondrite parent bodies or, more generally, planetesimals in the outer solar system.

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1. Introduction

Meteorites are fragments of planetesimals formed within the first few million years (Myr) of the solar system and as such provide a unique window into the early evolution of the solar protoplanetary disk. Based on their isotopic composition, meteorites can be subdivided into the noncarbonaceous (NC) and carbonaceous (CC) groups (Warren 2011; Budde et al. 2016a), which represent two spatially distinct disk reservoirs that coexisted for several Myr and likely correspond to the inner and outer solar system, respectively (Warren 2011; Kruijer et al. 2017). Preservation of the NC–CC isotopic dichotomy requires a dynamical barrier against mixing and homogenization of the two reservoirs, such as the early formation of Jupiter (Kruijer et al. 2017; Morbidelli et al. 2016), a pressure maximum in the disk (Brasser & Mojzsis 2020), likely related to the water ice line (Charnoz et al. 2021; Lichtenberg et al. 2021; Izidoro et al. 2022; Morbidelli et al. 2022), or a combination thereof.

Carbonaceous chondrites are eponymous for the CC group of meteorites and primarily consist of refractory inclusions, chondrules, and metal embedded into a fine-grained matrix (e.g., Scott & Krot 2014). The abundances of these components vary among the different carbonaceous chondrite groups, where CI (Ivuna-type) chondrites are comprised almost entirely of matrix, while other chondrites such as the CV (Vigarano-type) chondrites contain abundant chondrules and refractory inclusions including Ca-Al-rich inclusions (CAIs) and amoeboid olivine aggregates (AOAs). These components are chemically and isotopically distinct, and their heterogeneous distribution can account for the chemical and isotopic variations observed among bulk carbonaceous chondrites (e.g., Alexander 2019; Hellmann et al. 2020). However, the dynamical processes that led to the variable distribution of these components and how these processes are related to the accretion of carbonaceous chondrite parent bodies are unclear. For instance, it has been suggested that refractory inclusions formed close to the Sun, were subsequently transported into the outer disk (e.g., Cuzzi et al. 2003; Ciesla 2007), and then possibly trapped for ∼1–3 Myr in a pressure maximum just outside Jupiter's orbit where the carbonaceous chondrite parent bodies later formed (Desch et al. 2018; Scott et al. 2018). However, whether similar processes also affected the other constituents of chondrites (i.e., chondrules and matrix) and whether these components were mixed before or during parent body accretion is unclear (Gerber et al. 2017; Schneider et al. 2020; Van Kooten et al. 2021).

Here we use variations in the Ti, Cr, and Te isotopic compositions of carbonaceous chondrites to assess the dynamical processes that led to the variable distribution of chondrite components among carbonaceous chondrites. This, in turn, is key for understanding the dynamics of material transport through the disk accompanying the formation of some of the most pristine planetesimals of the solar system. Whereas the Ti and Cr isotope anomalies are of nucleosynthetic origin and ultimately reflect the heterogeneous distribution of presolar components, the Te isotope variations result from mass-dependent fractionation during physicochemical processes in the accretion disk. Unlike previous studies, we focus on ungrouped or anomalous carbonaceous chondrites, which are compositionally distinct from the major carbonaceous chondrite groups and hence, may have formed from distinct precursor materials.

2. Samples and Methods

The samples of this study include ten ungrouped or anomalous carbonaceous chondrites, which are compositionally and/or texturally distinct from the known major chondrite groups, as well as the CR1 chondrite GRO 95577, which has a unique O isotopic composition and an anomalously high matrix abundance (Schrader et al. 2011). This sample set is complemented by two additional ungrouped carbonaceous chondrites for which combined Te–Cr–Ti (Flensburg; Bischoff et al. 2021) and Te isotopic data (Tagish Lake; Hellmann et al. 2020) were reported previously. For Tagish Lake, new Cr and Ti isotopic data were obtained in this study. In addition, new Cr and Ti isotopic data are also reported for the CI chondrite Orgueil; this sample was included because of its important role in defining the composition of primitive matrix in carbonaceous chondrites (e.g., Alexander 2019). Importantly, taking the ungrouped and anomalous chondrites into account more than doubles the number of distinct parent bodies from the CC reservoir for which combined Te, Cr, and Ti isotope data are available and allows for a comprehensive assessment of the nature and extent of isotopic variations within this group of meteorites.

All samples (>1 g except for ∼0.4 g for Orgueil) were powdered, and separate aliquots were taken for Te (70–100 mg) and Ti–Cr (15–25 mg) isotope analyses. Samples for Te measurements were mixed with a123Te–125Te double spike, dissolved in HF–HNO3 on a hot plate, and Te was purified by ion-exchange chromatography (Hellmann et al. 2021, 2020). Samples for Ti and Cr isotope analyses were digested in Parr bombs with 6 mL 1:1 HF–HNO3 at 190 °C for 4 days and then repeatedly dissolved and dried in HCl–HNO3. Titanium and Cr were separated from the sample matrix by ion-exchange chromatography as outlined in Gerber et al. (2017) and Schneider et al. (2020). The Te and Ti isotope measurements were performed using a ThermoScientific Neptune Plus multi-collector inductively coupled plasma mass spectrometer following established measurement routines (Gerber et al. 2017; Hellmann et al. 2020). The Cr isotope measurements were conducted on a ThermoScientific Triton Plus thermal ionization mass spectrometer following the protocol of Schneider et al. (2020) but using a multistatic instead of a single line static data acquisition routine. The mass-dependent Te isotope variations are reported as δ128/126Te values (per mil deviation from NIST SRM 3156), and nucleosynthetic Ti and Cr isotope anomalies are reported as μ-values (parts-per-106 deviations from the NIST SRM 3112a and the Origins Lab OL–Ti standards) after mass-bias correction by internal normalization to49Ti/47Ti = 0.749766 (Niederer et al. 1981) and50Cr/52Cr = 0.051859 (Shields et al. 1966) (Table 1).

Table 1. Mass-independent Ti and Cr and Mass-dependent Te Isotopic Data together with Te Concentrations of Ungrouped and Anomalous Carbonaceous Chondrites, GRO 95577 (CR1), and Orgueil (CI1)

SampleTypeWeight (mg) (Ti–Cr aliquot) N(Ti–IC) μ46Ti (±95% CI) μ48Ti (±95% CI) μ50Ti (±95% CI) N(Cr–IC) μ53Cr (±95% CI) μ54Cr (±95% CI)Weight (mg) (Te aliquot)Te (ng/g) (±2σ) N(Te–DS) δ128/126Te (±2SD)
NWA 12957C3.00-ung.24.11445 ± 61 ± 4286 ± 9 927 ± 4105 ± 11 102.11527 ± 6180.12 ± 0.02
NWA 12416C3-ung.19.01447 ± 6−4 ± 2277 ± 10 814 ± 8118 ± 22 106.41505 ± 6160.11 ± 0.01
Tagish Lake a C2-ung.25.11443 ± 6−2 ± 6271 ± 10 820 ± 4131 ± 13 78.91669 ± 4250.11 ± 0.01
Acfer 094C2-ung.19.51448 ± 76 ± 6275 ± 14 1023 ± 6139 ± 16 67.31574 ± 4880.08 ± 0.02
TardaC2-ung.22.01444 ± 9−3 ± 5260 ± 9 1023 ± 7140 ± 16 74.91563 ± 4250.08 ± 0.01
EssebiC2-ung.21.71450 ± 8−2 ± 3286 ± 5 1224 ± 5144 ± 11 101.41406 ± 2350.06 ± 0.02
NWA 5958C2-ung.18.41450 ± 116 ± 7290 ± 12 1019 ± 8115 ± 17 84.61561 ± 4860.08 ± 0.03
NWA 11024CM-an.14.51449 ± 9−2 ± 5285 ± 9 624 ± 6102 ± 16 81.11586 ± 2760.07 ± 0.02
WIS 91600CM-an.19.91447 ± 9−3 ± 4307 ± 5 614 ± 8133 ± 22 80.81609 ± 4550.11 ± 0.02
NWA 11086CM-an.24.41440 ± 8−4 ± 5282 ± 9 414 ± 16103 ± 16 80.61632 ± 5260.12 ± 0.02
GRO 95577CR125.51420 ± 9−7 ± 5199 ± 6 634 ± 4159 ± 11 91.11151 ± 3150.02 ± 0.03
Orgueil a CI125.01231 ± 11−5 ± 3194 ± 10827 ± 5173 ± 853.92250 ± 6350.16 ± 0.01
BIR1a..................146 ± 420 ± 13............
DTS-2b..................85 ± 28 ± 13............
JB-04......13−6 ± 71 ± 4−3 ± 10.....................
JA-2......11−13 ± 81 ± 5−2 ± 10.....................

Note.

a Te isotopic composition and concentration have been measured previously by Hellmann et al. (2020).

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3. Correlated Isotopic Variations among Carbonaceous Chondrites

3.1. Mixing of Chondrules/Chondrule Precursors with CI Chondrite-like Matrix

The ungrouped and anomalous carbonaceous chondrites of this study together with samples from the major groups of carbonaceous chondrites plot on a single δ128/126Te–1/[Te] correlation line (Figure 1). For the major groups of carbonaceous chondrites, δ128/126Te is also correlated with the mass fraction of matrix, indicating that the correlated variations of δ128/126Te and Te content reflect variable amounts of CI chondrite-like matrix (Hellmann et al. 2020). This, in turn, implies that chondrules are characterized by light Te isotopic compositions (i.e., low δ128/126Te), which is approximately the same for the major carbonaceous chondrite groups. The low δ128/126Te of the chondrules may result from Te isotope fractionation during chondrule formation but may also be inherited from the precursor material of the chondrules (see Hellmann et al. 2020 for details). For the samples of this study, the volume fractions of matrix are known from the petrographic classification of the meteorites, but since the bulk densities of the samples are unknown, these volume fractions cannot easily be translated into matrix mass fractions. Thus, it is difficult to assess whether these samples also plot on a correlation line between δ128/126Te and matrix mass fraction, but we note that the elevated δ128/126Te values of these samples are consistent with their generally high matrix volume fractions.

Figure 1.

Figure 1. Mass-dependent Te isotope fractionation and nucleosynthetic Cr isotope anomalies of carbonaceous chondrites. (a) Tellurium isotopic compositions and concentrations of ungrouped and anomalous carbonaceous chondrites (blue). All of the samples plot on the mixing line defined by individual samples of the major carbonaceous chondrite groups (black; Hellmann et al. 2020). (b) Tellurium isotopic compositions and μ54Cr isotope anomalies of ungrouped and anomalous carbonaceous chondrites (blue). Black open squares represent the average compositions of the major carbonaceous chondrite groups, and red open squares represent the average compositions of CO, CV, and CM as well as CR chondrules. Dashed lines are calculated chondrule-matrix mixing lines between chondrules and CI chondrites (CI, Te = 2.28 ppm, Cr = 2620 ppm; CO-CV-CM chondrules, Te = 0.35 ppm, Cr = 3200; CR chondrules, Te = 0.35 ppm, Cr = 4320 ppm; Gerber et al. 2017; Alexander 2019; Zhu et al. 2019; Hellmann et al. 2020; Schneider et al. 2020). The δ128/126Te data are from Hellmann et al. (2020), and μ54Cr data of carbonaceous chondrites and chondrules are compiled in Tables A1 and A2, respectively.

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Hellmann et al. (2020) showed that for CV, CO, CM, and CI chondrites, as well as for Tagish Lake, δ128/126Te is also correlated with nucleosynthetic μ54Cr anomalies (Figure 1(b)). These correlations likely reflect mixing between volatile-rich, isotopically heavy (i.e., higher δ128/126Te), and54Cr-rich CI chondrite-like matrix with volatile-poor and isotopically light chondrules/chondrule precursors. This is consistent with the observation that chondrules from CV, CO, and CM chondrites, despite the large variations among individual chondrules from each group, are characterized by the same average μ54Cr of ∼60 (Hellmann et al. 2020). This indicates that for a given chondrite group the offset of a bulk chondrite's μ54Cr from the mean μ54Cr of its chondrules also correlates with the amount of matrix in each chondrite. The new Te and Cr isotope data reveal that most ungrouped and anomalous carbonaceous chondrites also plot on the μ54Cr–δ128/126Te mixing line defined by the major groups (Figure 1(b)), indicating that the Cr and Te isotope variability among most carbonaceous chondrites can be accounted for by variable abundances of the same two components, namely chondrules/chondrule precursors and CI chondrite-like matrix.

The only carbonaceous chondrites clearly deviating from this general trend are the CR chondrites, which plot well below the μ54Cr–δ128/126Te mixing line defined by other carbonaceous chondrites. The CR1 chondrite GRO 95577 also plots below this mixing line but has a distinctly higher δ128/126Te value and Te content compared to the characteristic composition of CR chondrites (Figure 1). Of note, GRO 95577 plots on the δ128/126Te–1/[Te] mixing line between chondrules and matrix, indicating that its higher Te content is due to a higher portion of CI-like matrix compared to other CR chondrites and not solely the result of Te redistribution during parent body alteration. In the μ54Cr–δ128/126Te diagram, both CR chondrites and GRO 95577 plot on a mixing line between CR chondrules and CI chondrite-like matrix (Figure 1(b)), suggesting that the distinct isotopic composition of CR chondrites and GRO 95577 compared to other carbonaceous chondrites predominantly reflects the incorporation of a distinct population of chondrules with more elevated μ54Cr values compared to chondrules in CV, CM, and CO chondrites (Figure 1(b)). This interpretation is consistent with a model in which CR chondrules formed by recycling of an earlier chondrule generation after mixing with CI chondrite-like dust (Marrocchi et al. 2022).

The three ungrouped C2 chondrites Essebi, Tarda, and Acfer 094 also appear to plot slightly below the μ54Cr–δ128/126Te mixing line between CV–CM–CO chondrules and CI chondrite-like matrix although this offset is not clearly resolved. If it exists, the small offset may reflect a slightly more elevated average μ54Cr of the chondrules in these chondrites compared to chondrules in CV, CO, and CM chondrites. As for the CR chondrites, this higher μ54Cr may reflect a slightly higher fraction of CI chondrite-like material among the precursors of these chondrules.

In summary, the Cr and Te isotopic variability among carbonaceous chondrites can be accounted for by mixing between chondrules/chondrule precursors and CI chondrite-like matrix. Whereas the latter appears to be contained in all carbonaceous chondrites, the54Cr isotopic composition of the chondrule component may vary among the individual groups. This is most obvious for CR chondrites, whose chondrules have substantially more elevated μ54Cr values compared to chondrules from most other carbonaceous chondrites but may also account for small deviations from the μ54Cr–δ128/126Te mixing line that may exist for some ungrouped carbonaceous chondrites.

3.2. Correlated Abundances of Refractory Inclusions and Chondrules

The μ54Cr anomalies among the carbonaceous chondrites are not only correlated with δ128/126Te but are also inversely correlated with μ50Ti (Figure 2). This observation holds for the major groups of carbonaceous chondrites as well as for the ungrouped and anomalous samples of this and prior studies. This μ50Ti–μ54Cr correlation may reflect mixing between CI-like matrix and an isotopically distinct dust component characterized by elevated μ50Ti and low μ54Cr, but such a component has not yet been identified in carbonaceous chondrites (Alexander 2019). Instead, components with elevated μ50Ti typically also have elevated μ54Cr, such as for instance CAIs and AOAs, which are characterized by both positive μ50Ti ∼900 (Trinquier et al. 2009; Davis et al. 2018; Render et al. 2019; Torrano et al. 2019) and μ54Cr ∼600 (Papanastassiou 1986; Birck & Allegre 1988; Larsen et al. 2011). Moreover, given that CAIs are strongly enriched in refractory elements like Ti, they exert a strong control on the Ti isotopic composition of bulk carbonaceous chondrites (Trinquier et al. 2009) but contain too little Cr to significantly affect a carbonaceous chondrite's μ54Cr. To assess the effect of CAI (and AOA) admixture on the Ti and Cr isotopic compositions of bulk carbonaceous chondrites more quantitatively, we have calculated mixing lines between various chondrule-matrix mixtures and refractory inclusions (Figure 2(b)). Note that Ti isotope data are only available for chondrules from the CV chondrite Allende (Gerber et al. 2017) and chondrules in other carbonaceous chondrite groups may have different μ50Ti signatures. Nevertheless, the calculations reproduce the observed abundances of refractory inclusions in the various chondrite groups reasonably well, such as for instance ∼2%–4% CAIs/AOAs in CM chondrites and ∼3%–8% in CV and CO chondrites, respectively (e.g., Ebel et al. 2016; Kimura et al. 2020; Fendrich & Ebel 2021). Together, these calculations show that the variations in μ50Ti among bulk carbonaceous chondrites are almost entirely governed by the abundance of refractory inclusions, while variations in μ54Cr predominantly reflect the relative proportions of chondrules and matrix (Figure 2(b)). A corollary of these observations is that the covariation of μ50Ti and μ54Cr among carbonaceous chondrites appears to reflect coupled variations in the abundances of refractory inclusions and chondrules, which systematically decrease from a high abundance in CV and CO chondrites to essentially zero in CI chondrites.

Figure 2.

Figure 2.  μ50Ti and μ54Cr isotope anomalies of carbonaceous chondrites. (a) Average isotopic compositions of major carbonaceous chondrite groups (black; see Table A1), individual ungrouped and anomalous carbonaceous chondrites from this study (solid blue) and previous studies (light blue; Bischoff et al. 2021 [B21]; Torrano et al. 2021 [T21]), as well as of Orgueil (CI1) and GRO 95577 (CR1). (b) Isotopic compositions of individual carbonaceous chondrites from this study and previous studies as in Figure 2(a). The red open square represents the average μ50Ti and μ54Cr isotope anomalies of pooled chondrules from the CV chondrite Allende (Gerber et al. 2017; Schneider et al. 2020). The mixing line between chondrules and CI chondrites (dashed line) was calculated using elemental abundances (CI chondrites, Ti = 440 ppm, Cr = 2620 ppm; chondrules, Ti = 1200, Cr = 3200) and isotopic compositions (CI chondrites, μ50Ti = 194, μ54Cr = 173; chondrules, μ50Ti = 242, μ54Cr = 58) from this and previous studies (e.g., Gerber et al. 2017; Alexander 2019; Zhu et al. 2019; Schneider et al. 2020). The solid lines represent mixing lines for chondrules and refractory inclusions (CAIs and AOAs) at a given matrix mass fraction. For the refractory inclusions we used previously published isotopic data (μ50Ti = 900; μ54Cr 600; Papanastassiou 1986; Birck & Lugmair 1988; Trinquier et al. 2009; Larsen et al. 2011; Davis et al. 2018; Render et al. 2019; Torrano et al. 2019) and elemental abundances (CAIs, Ti = 5400 ppm, Cr = 200 ppm; AOAs, Ti = 2200, Cr = 2000; Komatsu et al. 2001; Trinquier et al. 2009) and a 1:1 CAI–AOA ratio (e.g., Ebel et al. 2016). The CAI-to-AOA ratio in carbonaceous chondrites is not well constrained and may vary among different groups. High CAI-to-AOA ratios will result in steeper mixing lines than low CAI-to-AOA ratios.

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4. Accretion of Carbonaceous Chondrite Parent Bodies

4.1. Transport and Mixing of Dust before Chondrite Parent Body Accretion

Whereas CAIs are the oldest dated solids of the solar system and, together with AOAs, are thought to have formed close to the Sun (e.g., Wood 2004), most chondrules in carbonaceous chondrites formed ∼2–4 Myr later (e.g., Kurahashi et al. 2008; Budde et al. 2016b) and further away from the Sun. The linked abundances of refractory inclusions and chondrules, therefore, require a dynamical process that led to a coupled enrichment of two distinct dust components originating from different regions of the accretion disk into the narrow formation location of specific carbonaceous chondrite parent bodies. Furthermore, the ∼2–4 Myr age difference between CAIs and chondrules implies that CAIs were stored in the accretion disk for at least this period of time before they were incorporated into their host chondrites (e.g., Cuzzi et al. 2003; Ciesla 2007). Because objects the size of CAIs are expected to be rapidly lost in the Sun by gas drag, it has been suggested that the inward drift of CAIs was blocked by a "pressure trap," i.e., a pressure maximum in the disk, which is also the location in the disk where carbonaceous chondrite parent bodies later formed (Desch et al. 2018; Scott et al. 2018; Brasser & Mojzsis 2020). This pressure maximum may have formed through the formation of Jupiter's core and the associated opening of a gap in the disk (e.g., Kruijer et al. 2017), but other origins of this structure are also possible (e.g., Izidoro et al. 2022). Regardless of its exact origin, a pressure trap provides an efficient mechanism not only for blocking the inward drift of CAIs (and AOAs) but also for producing local enrichments of these objects. This is consistent with the dearth of refractory inclusions in noncarbonaceous chondrites and their enhanced abundance in some carbonaceous chondrites (Desch et al. 2018). However, storage of refractory inclusions alone cannot account for the systematic covariation of CAI/AOA and chondrule abundances relative to matrix, which we propose reflects the trapping of not only refractory inclusions but also chondrules or their precursors in the pressure maximum. This would naturally result in coupled variations of CAIs/AOAs and chondrules because both components became enriched by the same process (Figure 3).

Figure 3.

Figure 3. Cartoon illustrating our preferred scenario for transport and mixing of dust components before and during the accretion of the carbonaceous chondrite parent bodies. Based on the model of Nanne et al. (2019) for the formation of the NC–CC dichotomy by time-varied infall from heterogeneous molecular cloud core. (a) Early infall had a CAI/AOA-like isotopic composition (blue), which reflects the isotopic composition of the early disk formed by viscous spreading. CAIs and AOAs are transported outward by the same process. (b) Isotopic composition of the infall changes to NC-like (red), which dominates the inner disk. Chondrule precursors form in the inner disk and, like CAIs and AOAs, are transported outwards through the disk. After infall stopped, the disk exhibits an isotopic gradient from NC-like in the inner disk to CAI/AOA-like material in the outer disk. Mixing between these distinct materials in the inner disk then produced the characteristic isotopic composition of the CC reservoir. (c) Radial drift of CAIs, AOAs, and chondrule precursors leads to their coupled enrichment in a pressure maximum, which is likely associated with the water ice line and the ultimate formation location of Jupiter. Chondrule formation and mixing of CAIs/AOAs, chondrules, and CI-like matrix occur in this pressure trap, where the relative proportions of these components vary depending on the timing of parent body accretion.

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The coupled trapping of refractory inclusions and chondrules raises the question of why the abundances of these components vary among the different groups of carbonaceous chondrites. Provided that all carbonaceous chondrites formed in the same pressure maximum, this requires that the enrichment of refractory inclusions and chondrules in this structure varied in time and/or space. This could be caused by the varying supply of these components due to differences in their radial drift speed caused by their distinct aerodynamical properties defined by their grain size and internal density. Models of planetesimal formation via the streaming instability show that this mechanism prefers grains of high Stokes numbers, that is, the largest and/or densest dust aggregates (Bai & Stone 2010). This may lead to preferential incorporation of refractory inclusions and chondrules over matrix dust into chondrite parent bodies as long as these more refractory components are available. This is consistent with the observation that the parent bodies of the matrix-rich CI and CM chondrites tend to have younger inferred accretion ages than those of matrix-poor chondrites such the CV and CO chondrites (Figure 4). The only carbonaceous chondrite group plotting off this trend are the CR chondrites, which are characterized by a relatively young accretion age of ∼3.6 Myr after CAI formation (e.g., Schrader et al. 2017; Budde et al. 2018) but have the lowest matrix mass fraction among the carbonaceous chondrites (Figure 4). There is some uncertainty in the matrix mass fraction of CR chondrites because different members of this group have somewhat variable matrix fractions and metal abundances. The latter exerts a strong control on the conversion of matrix volume to mass fractions and accounts for at least some of the variability in reported matrix fractions. Nevertheless, even when using the higher CR matrix mass fraction reported by Patzer et al. (2022), the CR chondrites plot off the trend of matrix mass fraction versus accretion age (Figure 4). This offset may indicate that the CR chondrites formed from distinct precursor material than the other carbonaceous chondrites or that most of their CI chondrite-like material has been processed into a second generation of chondrules (Marrocchi et al. 2022).

Figure 4.

Figure 4. Accretion ages of carbonaceous chondrite parent bodies vs. matrix mass fraction. Accretion ages are estimated based on chondrule formation ages and thermal evolution models (see Table A3 for details). Matrix mass fraction are from Hellmann et al. (2020).

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Despite the good correlation between accretion age and matrix content, it is important to recognize that particularly for the matrix-rich chondrites some inconsistencies exist in the inferred accretion ages. For instance, carbonates in the matrix-rich carbonaceous chondrite Flensburg and in some samples from asteroid Ryugu (which resemble CI chondrites) have 53Mn-53Cr ages of ∼<1.8–2.6 Ma after CAI formation (Bischoff et al. 2021; McCain et al. 2023). This implies parent body accretion before that time and hence, earlier than inferred for the matrix-rich CI and CM chondrites. Given that both Flensburg and Ryugu are characterized by similarly high matrix fraction as these two groups of chondrites, it appears that they would not plot on the trend of accretion age versus matrix content shown in Figure 4. Clearly, more work is needed to better establish the accretion ages of especially the matrix-rich carbonaceous chondrites and to more reliably assess whether they formed later than their matrix-poor counterparts.

4.2. Origin of Chondrules and Their Precursors

Based on their chemical and isotopic composition, several studies have argued that the accretion region of carbonaceous chondrites is in the outer solar system, beyond the orbit of Jupiter (e.g., Warren 2011; Kruijer et al. 2017). Some other studies, however, proposed that chondrules (e.g., Williams et al. 2020) and perhaps even their host carbonaceous chondrites (e.g., Van Kooten et al. 2021) formed in the inner solar system. This proposal is based primarily on the observation that some chondrules from CV chondrites have 54Cr isotopic compositions overlapping with those of NC chondrites, which are thought to represent the inner disk. Moreover, while the cores of some CV chondrules are characterized by 54Cr deficits (i.e., the characteristic composition of the NC reservoir), their rims display 54Cr excesses (i.e., the characteristic composition of the CC reservoir). This has been interpreted to indicate that CV chondrules in general formed in the inner disk, were subsequently transported outwards, and were mixed with CI chondrite-like dust, which drifted inward toward the Sun (Van Kooten et al. 2021).

In this model, refractory inclusions would be added to the accretion location of carbonaceous chondrites together with CI chondrite-like dust by inward transport from the outer disk, while chondrules would be added by outward transport from the inner disk. However, there is no reason why in this scenario the abundances of refractory inclusions and chondrules should be coupled because the outward-drifting region in a vicinity of the pressure trap is much narrower than the inward-drifting outer disk, and it gets depleted much faster (e.g., Pinilla et al. 2012). Thus, the linked abundances of refractory inclusions and chondrules argue against the massive outward transport of carbonaceous chondrite chondrules inferred based on NC-like 54Cr signatures in some of these chondrules. Instead, these signatures, and the overall 54Cr variability among chondrules, are best understood as reflecting isotopic heterogeneities in their precursor dust (Schneider et al. 2020). Within this framework, NC-like 54Cr isotopic compositions of chondrules indicate that their precursor material—but not the chondrules themselves—originated in the inner disk. Similar to CAIs, this precursor material was likely transported outwards during the early viscous expansion of the disk (Nanne et al. 2019) and later drifted back toward the Sun by gas drag. This is consistent with chemical and isotopic evidence showing that CAIs have partially been incorporated into chondrules (e.g., Gerber et al. 2017), indicating that CAIs were part of the chondrule precursor material and that, therefore, the coupled abundances of CAIs and chondrules were established prior to chondrule formation.

5. Conclusions

The ubiquitous presence of multi-element isotope correlations among carbonaceous chondrites, including the major groups as well as ungrouped and anomalous samples, demonstrates that these correlations are a fundamental feature of the accretion region of carbonaceous chondrite parent bodies. These correlations indicate (1) that carbonaceous chondrites represent mixtures of three main components having distinct isotopic compositions, namely chondrules/chondrule precursors, refractory inclusions (CAIs and AOAs), and CI chondrite-like matrix and (2) that the abundances of refractory inclusions and chondrules are coupled and systematically vary with the amount of matrix. We suggest that these coupled abundance variations reflect the trapping of chondrule precursors, including CAIs and AOAs, in a pressure maximum in the disk, which is likely related to the water ice line and the ultimate formation location of Jupiter. The variable ratio of refractory inclusions/chondrules relative to matrix is the result of their distinct aerodynamical properties resulting in differential delivery rates and their preferential incorporation into meteorite parent bodies during the streaming instability. Chondrules formed from isotopically heterogeneous precursor dust aggregates trapped in the pressure bump, suggesting that the enrichment of chondrule precursor dust in a pressure trap may have been an important step to facilitate the accretion of carbonaceous chondrite parent bodies or, more generally, planetesimals in the outer solar system.

We gratefully acknowledge the constructive review by Conel Alexander and efficient editorial handling by Faith Vilas. We thank J. Zipfel (Senckenberg) for providing a sample of Essebi. The meteorite sample GRO 95577 was provided by NASA, which is also gratefully acknowledged. Antarctic meteorite samples are recovered by the Antarctic Search for Meteorites (ANSMET) program which has been funded by NSF and NASA, and characterized and curated by the Department of Mineral Sciences of the Smithsonian Institution and Astromaterials Curation Office at NASA Johnson Space Center. The work was funded by the European Research Council Advanced Grant 101019380 (HOLYEARTH) and by the European Union under the European Union's Horizon Europe Research & Innovation Programme 101040037 (PLANETOIDS). Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them. Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project-ID 263649064—TRR 170. This is TRR170 publication No. 182.

Appendix

Table A1 summarizes the Ti and Cr isotopic data for individual carbonaceous chondrites. Table A2 provides average Cr isotopic compositions for chondrules of the major carbonaceous chondrite groups. Estimated accretion ages of the different carbonaceous chondrite parent bodies are reported in Table A3.

Table A1. Summary of Ti and Cr Isotope Literature Data for Carbonaceous Chondrites

Sample nameType N μ50Ti (±2σ) a References N μ53Cr (±2σ) a N μ54Cr (±2σ) a References
OrgueilCI4185 ± 121, 2828 ± 108154 ± 610–16
IvunaCI1208 ± 513431 ± 206153 ± 143, 13, 16–19
MurchisonCM9301 ± 101, 2, 4623 ± 8698 ± 84, 10–12, 15, 20, 21
MurrayCM2276 ± 242, 4319 ± 18394 ± 334, 13, 20
ParisCM.........116 ± 5193 ± 922
Jbilet WinselwanCM.........318 ± 12397 ± 2716, 18, 22
SCO 06043CM.........122 ± 21113 ± 1216
NogoyaCM.........118 ± 5176 ± 416
Aguas ZarcasCM4267 ± 574, 23517 ± 7595 ± 104, 16, 23
BantenCM.........112 ± 3186 ± 516
MigheiCM.........118 ± 3174 ± 1020
Cold BokkeveldCM.........17 ± 3181 ± 1220
MariboCM.........129 ± 41113 ± 1520
Sutter's MillCM.........213 ± 3292 ± 1021
NWA 8157CM.........120 ± 111101 ± 1822
AllendeCV14334 ± 251, 2, 5, 61611 ± 21894 ± 43–5, 10–16, 24–26
BaliCV.........113 ± 41110 ± 616
MokoiaCV.........111 ± 41100 ± 116
KabaCV.........18 ± 5170 ± 3016
VigaranoCV.........315 ± 14386 ± 912, 16
LeovilleCV1409 ± 82210 ± 6276 ± 1412, 16
FelixCO1469 ± 12117 ± 6163 ± 910, 11
LanceCO1346 ± 1021− 4 ± 7157 ± 1110, 11
KainsazCO.........217 ± 10295 ± 2112, 13
OrnansCO1337 ± 92216 ± 10297 ± 1815, 16
MIL 07193CO.........116 ± 21122 ± 416
DOM 10104CO.........19 ± 3180 ± 616
IsnaCO2314 ± 881, 4111 ± 8166 ± 144
RenazzoCR.........120 ± 102126 ± 1110, 11
GRA 06100CR1326 ± 97226 ± 11128 ± 1324
NWA 6043CR1228 ± 108......1124 ± 1018
EET 92161CR...............1119 ± 1218
NWA 7837CR...............1106 ± 818
GRA 95229CR1230 ± 513......1118 ± 73
QUE 99177CR1227 ± 513......1143 ± 123
LAP 02342CR1150 ± 513......1149 ± 113
Sahara 0082CR1260 ± 301...............
NWA 801CR1235 ± 42...............
Al RaisCR-an.........119 ± 11124 ± 1116
KaroondaCK2363 ± 1051, 229 ± 14257 ± 1810, 16
ALH 85002CK.........16 ± 2146 ± 516
LEW 87009CK.........18 ± 4158 ± 516
EET 92005CK.........26 ± 11243 ± 2712, 16
CoolidgeCL2265 ± 64, 924 ± 8270 ± 314, 9
Loongana 001CL1257 ± 9916 ± 8168 ± 189
LoV 051CL1285 ± 8915 ± 7176 ± 129
NWA 033CL1235 ± 5915 ± 11164 ± 129
NWA 13400CL1260 ± 79114 ± 13170 ± 139
HH237CB.........2−5 ± 282115 ± 7813, 16
BencubbinCB1184 ± 43124 ± 242112 ± 310
GujbaCB1194 ± 1411−3 ± 131104 ± 2710
MIL 05082CB.........120 ± 11150 ± 916
QC 001CB.........119 ± 41145 ± 616
Average ...........................
CI...2196 ± 33...230 ± 42154 ± 1...
CM...3281 ± 35...1318 ± 111393 ± 24...
CV...2372 ± 105...611 ± 2689 ± 16...
CO...4367 ± 111...710 ± 7783 ± 21...
CR...7237 ± 48...223 ± 88127 ± 9...
CK...1363 ± 105...47 ± 2451 ± 12...
CL...5260 ± 22...57 ± 5570 ± 5...
CB...2189 ± 14...57 ± 155125 ± 26...

Note. References. (1) Trinquier et al. (2009), (2) Zhang et al. (2012), (3) Williams et al. (2020), (4) Torrano et al. (2021), (5) Burkhardt et al. (2017), (6) Sanborn et al. (2019), (7) Gerber et al. (2017), (8) Larsen et al. (2018), (9) Metzler et al. (2021), (10) Trinquier et al. (2007), (11) Trinquier et al. (2008), (12) Qin et al. (2010), (13) Shukolyukov & Lugmair (2006), (14) Petitat et al. (2011), (15) Bonnand et al. (2016), (16) Zhu et al. (2021), (17) Schiller et al. (2014), (18) Van Kooten et al. (2016), (19) Larsen et al. (2011), (20) Van Kooten et al. (2020), (21) Jenniskens et al. (2012), (22) Göpel et al. (2015), (23) Kerraouch et al. (2022), (24) Schneider et al. (2020), (25) Zhu et al. (2020a), (26) Zhu et al. (2020b).

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Table A2. Average Cr Isotope Compositions of Chondrules from the Major Carbonaceous Chondrite Groups

Sample N μ54Cr (±95% CI)References
CO chondrules1281 ± 191, 2
CV chondrules4549 ± 203, 4, 5
CM chondrules1263 ± 256
Combined CO, CV, CM chondrules6957 ± 14...
CR chondrules31142 ± 43–5, 7

References. (1) Zhu et al. (2019), (2) Qin et al. (2011), (3) Olsen et al. (2016), (4) Williams et al. (2020), (5) Schneider et al. (2020), (6) Van Kooten et al. (2020), (7) Van Kooten et al. (2016).

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Table A3. Accretion Ages of Carbonaceous Chondrite Parent Bodies

TypeChondrule Formation Age (Myr after CAIs)ReferenceThermal Model Accretion Age (Myr after CAIs)ReferenceEstimated Time of Accretion (Myr after CAIs)
CI......3.6 ± 0.5103.1–4.1
TL...... ${3.5}_{-0.5}^{+0.7}$ 103.0–4.2
CM2.5 ± 0.31 ${3.5}_{-0.5}^{+0.7}$ 102.5–4.2
CV2.2 ± 0.522.5 ± 0.1112.3–3.1
 2.5 ± 0.533.3 ± 0.112...
 3.0 ± 0.443.0 ± 0.210...
CO2.4 ± 0.752.3 ± 0.15112.2–2.6
 2.5 ± 0.312.7 ± 0.210...
CR3.6 ± 0.663.5 ± 0.5103.5–4.0
  ${3.7}_{-0.2}^{+0.3}$ 7.........
 3.7 ± 0.68.........
 4.0 ± 0.69.........

References. (1) Fukuda et al. (2022), (2) Budde et al. (2016b), (3) Nagashima et al. (2017), (4) Hutcheon et al. (2009), (5) Kurahashi et al. (2008), (6) Budde et al. (2018), (7) Schrader et al. (2017), (8) Amelin et al. (2002) (recalculated by Schrader et al. 2017), (9) Bollard et al. (2017), (10) Sugiura & Fujiya (2014), (11) Doyle et al. (2015), (12) Jogo et al. (2017).

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Footnotes

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    Two-sigma uncertainties represent Student's-t 95% confidence intervals (n ≥ 4) or two standard deviations (n < 4).

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10.3847/2041-8213/acc102