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Published in final edited form as: Astrophys J. 2016 Jul 6;825:88. doi: 10.3847/0004-637X/825/2/88

COORDINATED ANALYSIS OF TWO GRAPHITE GRAINS FROM THE CO3.0 LAP 031117 METEORITE: FIRST IDENTIFICATION OF A CO NOVA GRAPHITE AND A PRESOLAR IRON SULFIDE SUBGRAIN

Pierre Haenecour 1,2,3,4, Christine Floss 1,3,4, Jordi José 5,6, Sachiko Amari 1,3,4, Katharina Lodders 2,4, Manavi Jadhav 7, Alian Wang 2,4, Frank Gyngard 1,3,4
PMCID: PMC6350796  NIHMSID: NIHMS1005141  PMID: 30705444

Abstract

Presolar grains constitute the remnants of stars that existed before the formation of the solar system. In addition to providing direct information on the materials from which the solar system formed, these grains provide ground-truth information for models of stellar evolution and nucleosynthesis. Here we report the in situ identification of two unique presolar graphite grains from the primitive meteorite LaPaz Icefield 031117. Based on these two graphite grains, we estimate a bulk presolar graphite abundance of 53+7 ppm in this meteorite. One of the grains (LAP-141) is characterized by an enrichment in 12C and depletions in 33,34S, and contains a small iron sulfide subgrain, representing the first unambiguous identification of presolar iron sulfide. The other grain (LAP-149) is extremely 13C-rich and 15N-poor, with one of the lowest 12C/13C ratios observed among presolar grains. Comparison of its isotopic compositions with new stellar nucleosynthesis and dust condensation models indicates an origin in the ejecta of a low-mass CO nova. Grain LAP-149 is the first putative nova grain that quantitatively best matches nova model predictions, providing the first strong evidence for graphite condensation in nova ejecta. Our discovery confirms that CO nova graphite and presolar iron sulfide contributed to the original building blocks of the solar system.

Keywords: circumstellar matter – meteorites, meteors, meteoroids – novae, cataclysmic variables – nuclear reactions, nucleosynthesis, abundances – stars: AGB, post-AGB – supernovae: general

1. INTRODUCTION

About 4.6 billion years ago, our solar system formed from a molecular cloud composed of gas, ice, and dust. It was initially believed that, during the early stages of solar system formation, all of the original circumstellar and interstellar dust grains were vaporized, leaving an isotopically homogenized solar nebula (Cameron 1962). However, this theory was challenged by the identification of noble gas isotopic anomalies in meteorites, providing the first hint for the survival of circumstellar grains (also called “presolar grains”; Reynolds & Turner 1964; Black & Pepin 1969). Circumstellar grains can be identified by their highly anomalous isotopic compositions in major (e.g., C, O) and minor elements compared to the average isotopic composition of solar system materials (Zinner 2014). Characterization of the isotopic and elemental compositions of presolar grains opened a new field in astronomy and astrophysics, allowing the direct study of individual stars (Zinner 2014) and providing ground-truth information on stellar evolution, nucleosynthesis of the elements, and grain condensation in circumstellar envelopes. As presolar grains are the original building blocks of the solar system, the in situ survey of fine-grained material in primitive meteorites has also allowed the identification of new presolar grain types, such as wüstite, silica, and magnetite (Floss et al. 2008; Haenecour et al. 2013; Zega et al. 2015). Indeed, presolar grains consist of a variety of minerals and/or amorphous assemblages, including carbonaceous grains (e.g., diamond, graphite, silicon carbide), oxides (e.g., corundum, spinel, hibonite), and silicates (e.g., olivine, pyroxene, silica) (Zinner 2014; Floss & Haenecour 2016). Presolar grains can also contain a variety of inclusions (e.g., metal nuggets, carbides, oxides) (Croat et al. 2014; Zinner 2014).

As the carrier phase of a 22Ne-rich component (termed Ne-E (L)), presolar graphites were first isolated through complex chemical and physical methods, including density separations and harsh chemical-dissolution treatments to dissolve the bulk of the meteorite material and concentrate the acid-resistant phases into residues (Amari et al. 1990, 1994). Over the past 25 years, more than 2000 presolar graphite grains have been studied from only two meteorites, Murchison (CM2) and Orgueil (CI1) (Hoppe et al. 1995; Zinner et al. 1995; Jadhav et al. 2013a; Amari et al. 2014). They range in density between 1.6 and 2.2 g cm−3 and are often classified into two groups: low-density and high-density graphites. They also exhibit two main morphologies (cauliflower aggregates and shell-like onions), each corresponding to different degrees of graphitization (from poorly graphitic to well-crystallized) (Croat et al. 2014; Zinner 2014). High-precision multi-element isotopic studies indicate that most presolar graphite grains originate from low-metallicity asymptotic giant branch (AGB) stars (~50%) and supernovae (SNe; ~25%) (Jadhav et al. 2013b, 2014; Amari et al. 2014); a small fraction might have also originated from born-again AGB stars and J-type stars (Jadhav et al. 2013a).

Here, we report the first in situ identification of two presolar graphite grains in a primitive meteorite. The grains (LAP-141 and LAP-149) were identified by NanoSIMS ion imaging in a thin section of the primitive meteorite LAP 031117.

2. SAMPLE AND EXPERIMENTAL METHODS

A petrographic thin-section of the type 3.00 CO carbonaceous chondrite LaPaz Icefield 031117 (LAP 031117) was obtained from the NASA Johnson Space Center meteorite curatorial facility. Based on the distribution of Cr2O3 in ferroan olivine from chondrules and the fayalite contents of ameboid olivine inclusions, Chizmadia & Cabret-Lebron (2009) showed that LAP 031117 is very primitive, much like the CO3.00 chondrite ALHA77307. Apart from the presence of minor sporadic terrestrial alteration (Fe-rich) veins, they did not find any sign of thermal metamorphism and/or aqueous alteration as commonly found in CO3 of higher petrologic subtypes (>CO3.1). LAP 031117 is also characterized by presolar grain abundances similar to the most primitive meteorites (P. Haenecour et al. 2016, in preparation). A transmission electron microscopy study of several distinct areas in LAP 031117 does show the presence of localized (micrometer-scale) aqueous alteration in a fine-grained rim around a chondrule (P. Haenecour et al. 2016, in preparation); however, no signs of alteration were found in the area where the two graphite grains were identified.

The grains were identified by NanoSIMS 50 raster ion imaging during a search for O- and C-anomalous presolar grains. A focused Cs+ primary beam of ~1 pA, with a diameter of about 100 nm was rastered over fine-grained matrix and rims around chondrules, and secondary ions of 12,13C and 16,17,18O, as well as secondary electrons, were simultaneously acquired in multicollection mode. Each measurement consisted of 5–10 scans of 10 × 10 μm2 (256 × 256 pixels) areas rastered within 12 × 12 μm2 regions pre-sputtered to remove the carbon coat. The individual imaging layers were sequentially added to produce a single cumulative image for each isotope analyzed. Isotope ratio images were calculated from the ion images and used to identify isotopically anomalous grains. A grain was considered presolar if its isotopic composition deviated from that of the average surrounding material by more than 5σ, and the anomaly was present in at least three consecutive layers. Using similar analytical conditions, we also acquired nitrogen, silicon, and sulfur isotopic maps of grain LAP-149 in two separate measurement sessions: 12C14N, 12C15N, 28,29,30Si in one session, and 12,13C, 32,33,34S in the other; the sulfur isotopic composition of LAP-141 was also measured during this second session. For sulfur isotopic measurements, the quasi-simultaneous arrival (QSA) effect is expected to introduce a non-negligible bias in isotopic measurements (Slodzian et al. 2004). We estimated the correction factor for the QSA effect by measuring the sulfur isotopic composition of the surrounding matrix area, as well as a troilite grain in LAP 031117, and changing the secondary ion transmission by adjusting the aperture slit width, as has been done previously (Slodzian et al. 2004; Nishizawa et al. 2010). However, we did not find any evidence for the QSA effect and thus did not apply a correction factor. We also regularly measured the S isotopic composition of surrounding matrix material (in several areas) to ensure reproducibility. The sulfur isotopic compositions are normalized to the sulfur isotopic composition of the surrounding matrix, expressed in δS-values as permil deviations from normal (Table 1).

Table 1.

Isotopic Compositions of Graphites and Predictions from CO Nova Modelsa

Name 12C/13C 14N/15N 16O/17O 16O/18O δ29Si δ30Si δ33S δ34S
LAP-141 537 ± 24 2861 ± 147 520 ± 11 −107 ± 23 −130 ± 11
LAP-149 1.41 ± 0.01 941 ± 81 2594 ± 228 516 ± 19 −8 ± 24 −23 ± 29 −23 ± 143 6 ± 70
KFC1b-202 2.1 ± 0.1 273 ± 53 556 ± 65
M F C/O
CO Nova Modelsa 0.6 0.5 2 979 352 416300 0 7 −0.57 −0.13 1.1
0.8 0.25 0.4 147 120 121154 −5 3 0.5
0.8 0.5 0.6 88 132 170122 −5 3 0.9
1 0.25 0.5 10 41 77180 −57 14 0.7
1 0.5 0.5 12 52 100746 −34 17 0.8
1.15 0.25 0.9 2 12 30063 −482 46 0.8
1.15 0.5 0.7 4 21 55750 −230 116 0.7
Standard value 89 272 2625 499
a

C/O ratios calculated from the mass fractions of 12,13C and 16,17,18O in each CO nova model; M—solar masses; F—mixing fraction; see the text for details. Data for KFC1b-202 from Amari et al. (2014). δ29,30Si and δ33,34S are expressed in permil (‰) where δsample=(RsampleRstandardRstandard)×1000. Errors are 1σ.

The elemental compositions of the grains were determined with the PHI 700 Auger Nanoprobe. The areas of interest were initially sputter-cleaned by scanning a 2 kV, 1 μm diameter Ar+ ion beam over a broad area (~2 mm) to remove atmospheric surface contamination. Auger electron energy spectra, covering the energy range of 30–1730 eV, were obtained with a 10 kV 0.25 nA primary electron beam. The compositions of the grains were calculated from the peak-to-peak heights of the differentiated spectra using elemental sensitivity factors determined from olivine and pyroxene standards (Stadermann et al. 2009). We also acquired Auger elemental distribution maps (e.g., O, C, Si, Fe, S) of the grains.

Raman spectroscopy was used to obtain mineralogical information on grain LAP-149. We used the Renishaw inVia© Raman imaging system, with a laser wavelength of 532 nm for excitation that was condensed by a long working distance 100× objective (NA = 0.8) to <1 μm spot of 2.5 mW at the sample. The spectra were acquired in a spectral window of 100–4000 Δcm−1. While transmission electron microscopy is traditionally used to study the internal structure of presolar graphites, recent studies have demonstrated that Raman spectroscopy can also be used to obtain direct in situ structural information about presolar carbonaceous grains (e.g., graphites, SiC), without additional sample preparation (Wopenka et al. 2013). The Raman spectra of carbonaceous grains exhibit two first-order main bands: the D-band (D for disordered) at 1332 cm−1 and the G-band (G for graphite) at 1582 cm−1. The ratio of the relative heights of the D- and G-bands provides direct information on the degree of structural order. Raman analysis of more than a hundred presolar graphites from three different density fractions (2.15–2.20 g cm−3) in the Murchison meteorite indicates that only about 50% of presolar graphite grains have spectra consistent with well-crystallized sp2-bonded carbon graphite (D/G < 0.5) while about 30% of the grains have spectra consistent with disordered graphite (D/G = 0.5–1.1). The remaining grains can be classified into three groups: glassy carbon (D/G > 1.1), unusual sp2-bonded graphitic carbon and non-crystalline kerogen-like carbon (Wopenka et al. 2013).

The CO nova models discussed below were computed with SHIVA, a one-dimensional implicit hydrodynamical code in Lagrangian formulation, extensively applied to the modeling of stellar explosions (e.g., classical novae, X-ray bursts, SNe Ia). The code solves the standard set of differential equations of stellar evolution: conservation of mass, momentum, and energy; energy transport by radiation and convection; and the definition of the Lagrangian velocity. A time-dependent formalism for convective transport has been included whenever the characteristic convective timescale becomes larger than the integration timestep. Partial mixing between adjacent convective shells is handled by a diffusion equation. The equation of state includes contributions from the (degenerate) electron gas, the ion plasma, and radiation. Coulomb corrections to the electronic pressure are also taken into account. Radiative and conductive opacity are considered. The code is linked to a reaction network that contained about 120 nuclear species, ranging from H to 48Ti through 630 nuclear reactions, with updated rates. See José (2016) and José & Hernanz (1998) for additional details.

3. RESULTS

Grain LAP-141 is relatively small with a diameter of about 300 nm and is characterized by an enrichment in 12C relative to the solar isotopic ratio; its oxygen isotopic composition is solar within 2σ errors (Figure 1, Table 1). It also exhibits depletions in 33,34S (δ33S = −107 ± 23, δ34S = −130 ± 11, Table 1). This grain has an Auger elemental spectrum consistent with graphite (Figure 2). Auger elemental maps show that the small Fe and S peaks in the spectrum reflect the presence of a tiny (~80 nm in diameter) iron sulfide subgrain inside LAP-141. Quantification indicates that the subgrain has a pyrrhotite-like composition (Fe = 76 ± 8 at.% and S = 24 ± 2 at.%). It is likely that the anomalous S isotopic composition of LAP-141 mostly reflects the composition of the iron sulfide subgrain.

Figure 1.

Figure 1.

(a) Carbon and oxygen (12C/13C and 16O/18O) and (b) carbon and nitrogen isotopic compositions (12C/13C and 14N/15N) of LAP-141 and LAP-149 compared with other presolar graphites (Hoppe et al. 1995; Nicolussi et al. 1998; Amari et al. 2001, 2014; Groopman et al. 2012; Jadhav et al. 2013a). Also shown are results from CO nova models (see the text for details), predictions from ONe nova models (José et al. 2004), and astronomical observations of J-type stars (Hedrosa et al. 2013). The nitrogen isotopic composition of LAP-141 was not measured.

Figure 2.

Figure 2.

Differentiated Auger spectra and elemental distribution maps showing the C-rich natures of LAP-141 and LAP-149. LAP-141 exhibits small Fe and S peaks due to the presence of an iron sulfide subgrain. Also shown is the secondary electron image for LAP-149 and a false-color image of the 12C/13C ratio measured in the NanoSIMS.

Grain LAP-149 is larger, with a diameter of about 1 μm, and has one of the lowest 12C/13C ratios (1.41 ± 0.01) ever measured; it also has a high 14N/15N ratio (941 ± 81; Figure 1). Such a low 12C/13C ratio (less than the CNO cycle nuclear equilibrium value of 3.5) is extremely rare among presolar grains. Only one other graphite grain, KFC1b-202, has a similarly low 12C/13C ratio; however, its N and O isotopic compositions are consistent with solar values (Figure 1; Amari et al. 2014). The oxygen and silicon isotopic compositions of LAP-149 (16O/17O = 2594 ± 228, 16O/18O = 516 ± 19, δ29Si = −8 ± 24, δ30Si = −23 ± 29) are also solar within uncertainties. The Auger elemental spectrum of LAP-149 is also consistent with graphite (Figure 2). In addition, its Raman spectrum is different from the carbonaceous material present in the surrounding matrix but resembles the spectra of well-crystallized presolar graphite grains, with a D/G ratio of ~0.51 (Figure 3). Perfectly stacked sp2-bonded graphitic carbon sheets exhibit only the G-band peak; the presence of a D-band peak indicates either structural defects in the grain or damage from the NanoSIMS Cs beam (Wopenka et al. 2013).

Figure 3.

Figure 3.

Raman spectrum of grain LAP-149 compared with surrounding matrix material in LAP 031117, a presolar graphite grain from Murchison (Wopenka et al. 2013), and a graphite standard from the RRUFF database (Lafuente et al. 2015).

4. DISCUSSION

4.1. Origin of LAP-141 and its Iron Sulfide Subgrain: Lowmetallicity AGB Star or Type II Supernova?

While previous studies have suggested the possible existence of presolar FeS grains (Hynes et al. 2011; Heck et al. 2012; Hoppe et al. 2012), to the best of our knowledge, no such grains have been unambiguously identified. We report here the first confirmed identification of a presolar iron sulfide subgrain inside a small graphite grain (LAP-141; ~300 nm in diameter).

Based on their 12C/13C ratios, Amari et al. (2014) divided presolar graphite grains from Murchison into three distinct populations. LAP-141 is characterized by a high 12C/13C ratio (537 ± 24) and belongs to Population III (12C/13C > 200). Presolar graphites from this population can condense in the envelopes of low-metallicity AGB stars or in the ejecta of Type II (core-collapse) SNe (Lodders & Amari 2005; Jadhav et al. 2013b; Amari et al. 2014).

AGB stars are a major source of presolar graphite grains (~50%) (Jadhav et al. 2014). Comparison of the high 12C/13C ratio, excess 32S (negative δ33,34S-values), and solar O isotopic composition of LAP-141 with Torino AGB star models (Figure 4), suggests that LAP-141 could have condensed in the stellar atmosphere of a low-metallicity AGB star (Jadhav et al. 2013b; Amari et al. 2014; Xu et al. 2015). Indeed, the C, O, and S isotopic compositions of LAP-141 can all be reproduced by nucleosynthesis models of a 3.0 M AGB star with Z = 0.003 or 0.006 (Figure 4). If this is the case, the S isotopic composition of LAP-141 would require a parent star that was characterized by negative δ33,34S-values relative to solar.

Figure 4.

Figure 4.

(a) Carbon (12C/13C) and oxygen (16O/18O) isotopic compositions of LAP-141 compared with two Torino AGB models (Gallino et al. 1998; Bisterzo et al. 2010): 3.0 M AGB with Z = 0.003 (red line) and Z = 0.006 (green line). Also shown are presolar graphite grains from previous studies (Hoppe et al. 1995; Nicolussi et al. 1998; Amari et al. 2001, 2014; Groopman et al. 2012; Jadhav et al. 2013b). (b), (c) Carbon (12C/13C) and sulfur (δ33,34S, expressed in ‰) isotopic composition of LAP-141 compared with presolar SiC grains from the literature: Fujiya et al. (2013), Gyngard et al. (2006, 2010a, 2012), Hoppe et al. (2012), Orthous-Daunay et al. (2012), Xu et al. (2015), and the two Torino AGB models. Error bars for LAP-141 are 2σ.

However, an origin in a SN II is also possible. The isotopic compositions of LAP-141 (and its Fe-sulfide subgrain) are clearly similar to SN SiC grains (SiC X and C grains, Figures 4(b) and (c)), which are both believed to have condensed in the ejecta of SNe II. Pre-SN massive stars have an onion-like layered structure, with a Ni-rich zone, a Si/S zone, oxygen-rich zones (O/Si, O/Ne, and O/C), and He/C and He/N zones, surrounded by a H envelope (Meyer et al. 1995). A large range of sulfur isotopic compositions is observed in the different layers. Like presolar SiC X grains, the S isotopic composition of LAP-141 could be the signature of the Si/S zone (Hoppe et al. 2012; Xu et al. 2015). However, this zone is not favorable for the condensation of carbonaceous grains (C/O ≪ 1) and, thus, mixing of different supernova zones is required to explain the condensation of both the graphite grain and its Fe-sulfide subgrain. Because the Fe-sulfide subgrain is contained inside the graphite grain, it must have condensed before its host graphite; it is thus possible that the two grains formed at different places within the SN ejecta. This is consistent with recent observations of large-scale transport and asymmetric mixing within the Cassiopeia A SN ejecta (Grefenstette et al. 2014). The negative δ33,34S-values observed in grain LAP-141 might also reflect the production of 32S by the decay of the short-lived 32Si (τ1/2 = 153 years) in the O/C or He/C SN regions (Fujiya et al. 2013; Pignatari et al. 2013; Xu et al. 2015). This process was proposed to explain the large 32S excesses observed in presolar SiC C grains (Pignatari et al. 2013; Hoppe et al. 2015).

Calculations of grain condensation in circumstellar envelopes and stellar ejecta predict the formation of iron sulfide (Lodders & Fegley 1999), which is consistent with the observation of a pyrrhotite-like iron sulfide subgrain in LAP-141. Indeed, equilibrium condensation calculations suggest the formation of significant amounts of FeS in the circumstellar envelopes of red giant stars under carbon-rich conditions (C/O > 1) (Lodders 2006) and models of dust condensation in core-collapse SN ejecta also predict the presence of FeS grains (Sarangi & Cherchneff 2015). In particular, Cherchneff & Dwek (2010) suggested that significant amounts of FeS can condense in the inner Ni/Si/S zone of unmixed SN ejecta; this model is consistent with the predictions of negative δ33,34S-values, similar to those of LAP-141, in the Si/S zone (Xu et al. 2015).

Astronomical observations have also suggested the presence of FeS in circumstellar envelopes and stellar ejecta. FeS has been proposed as a possible carrier for several features in the infrared (IR) spectra of carbon-rich AGB stars (Hony et al. 2002, 2003). Spectral fitting of the observed 21 μm peak dust feature in the IR spectrograph spectra of the Cassiopeia A SN Remnant acquired by the NASA Spitzer Space Telescope also indicates the possible presence of FeS grains (e.g., Rho et al. 2008).

Ultimately, while we cannot exclude an origin in a lowmetallicity AGB star, the very close similarity of the carbon and sulfur isotopic compositions of LAP-141 (and its Fe-sulfide subgrain) with presolar SiC X and C grains lead us to favor an origin in the ejecta of a SN II.

4.2. LAP-149: Extremely 13C-rich Presolar Graphite from a Low-mass CO Nova Ejecta

The origin of LAP-149 is restricted to several types of stars that can produce very low 12C/13C ratios: these include born-again AGB stars, J-type stars, novae. and core-collapse (Type II) SNe. Born-again AGB stars are late-stage stars, which experienced a very late thermal pulse (VLTP). During the VLTP, mixing of leftover hydrogen from the convective envelope down to the hot helium intershell of the star induces H-burning, which converts 12C into 13C, reducing the 12C/13C ratio (Herwig et al. 2011). However, the minimum 12C/13C ratios predicted by VLTP theoretical models are higher than that of LAP-149 and, even if they were lower, the model trends are inconsistent with the high 14N/15N observed in LAP-149 (Jadhav et al. 2013a); in addition, neutron capture associated with the VLTP is expected to produce large excesses in 30Si (Liu et al. 2014) that are not observed in LAP-149.

We also considered formation of LAP-149 in a SN II because 12C/13C ratios as low as 2 are predicted in some zones of a SN. However, model calculations that reproduce the 12C/13C ratio of LAP-149 are typically characterized by C/O ratios much below unity, precluding the condensation of C-rich grains (Rauscher et al. 2002; Jadhav et al. 2013b; Amari et al. 2014). New SN explosive He shell models yield both very low 12C/13C ratios and C/O > 1 in the He/C zone (Pignatari et al. 2015), but these models also predict extremely low 14N/15N ratios, the opposite of what is seen in LAP-149. Our grain also does not show other typical SN isotopic signatures such as excesses in 18O and 28Si (Jadhav et al. 2013b).

Astronomical observations have shown the presence of a small group of carbon stars, called J-type stars, which are characterized by strong 13CN and 13C absorption bands with low 12C/13C ratios (3–15). While their origins are still enigmatic, spectral studies show that they have solar s-process elemental abundances and are characterized by a large range of 14N/15N ratios (Figure 1; Hedrosa et al. 2013). Theoretical models suggest that the low 12C/13C ratios of low-mass J-type stars (M ~ 2–3 M) are caused by thermal pulses that mix material from the stellar envelope down to the H-burning shell where 13C is produced in the CNO cycle (“cool bottom processing”) (Nollett et al. 2003). However, cool bottom processing can only decrease the 12C/13C ratio of the envelope down to the nuclear equilibrium (steady-state) value of ~3.5 for the CNO cycle. Lower 12C/13C ratios can be obtained in higher-mass stars (M ≥ 4 M) in which the higher temperatures and pressures allow hot hydrogen burning to take place at the bottom of the convective envelope (called “hot bottom processing”). While this process decreases the 12C/13C ratio of the envelope, the destruction of 12C also reduces the C/O ratio, leading to O-rich conditions that, again, preclude the condensation of carbonaceous grains like LAP-149.

Finally, several studies have suggested that presolar grains with very low 12C/13C (≤5) ratios may originate in nova ejecta (Clayton & Hoyle 1976; Amari et al. 2001; José et al. 2004; José & Hernanz 2007; Heck et al. 2009). A nova explosion occurs when a white dwarf (WD) core accretes enough material from a nearby companion star to cause rapid fusion of the accreted hydrogen and trigger an explosion (José 2016). The very low 12C/13C ratios (0.3–3) observed in novae are due to the 12C(p, γ)13N(β+)13C chain reaction during burning of the accreted hydrogen (José & Hernanz 2007). These predictions of very low 12C/13C ratios are consistent with limits on the 12C/13C ratio estimated from fitting of 13CO and 12CO bands in the IR spectra of several nova ejecta (Evans & Rawlings 2008; Banerjee & Ashok 2012; Banerjee et al. 2016). Based on the composition of the WD core, we distinguish two types of novae: CO novae, for initial masses of the primary star below ~8 M, which undergo hydrogen and helium burning, leaving a carbon- and oxygen-rich WD core; and ONe novae for slightly more massive stars (8–10 M) which, in addition, undergo carbon burning, leaving an oxygen- and neon-rich WD core (José et al. 2004; José 2016). Stellar nucleosynthesis models of ONe novae cannot reproduce the isotopic compositions of grain LAP-149: ONe novae ejecta are characterized by very low 12C/13C ratios (0.73–1.1), consistent with the 12C/13C ratio of LAP-149, but also have very low 14N/15N (0.25–3.6) ratios (José et al. 2004), in contrast with the 14N-rich isotopic composition of this grain.

However, CO nova models appear to be more promising (José et al. 2004). We computed seven new one-dimensional CO nova models with WD masses ranging between 0.6–1.15 M and mixing fractions of 25% or 50% between the outer layers of the WD core and material accreted from the companion star. While most models predict isotopic compositions that are not consistent with those of LAP-149 (e.g., low 14N/15N), one model with a WD mass of 0.6 M and a mixing fraction of 50% predicts C and N isotopic compositions (13C/12C = 2 and 14N/15N = 979) that are virtually identical to those of LAP-149 (Figure 1). This model is also consistent with the solar silicon and sulfur isotopic compositions of LAP-149 because peak temperatures in CO novae are not high enough to significantly modify the Si and S isotopic compositions (José et al. 2004; Lodders & Amari 2005). Thus, LAP-149 represents the first plausible grain of CO nova origin and its C, N, Si, and S isotopic compositions can be reproduced by pure nova ejecta, without any extra mixing with solar composition material (Figure 1). This differs from most nova grains candidates, which require large amounts of solar composition material (>90%) to be mixed with the nova ejecta in order to reproduce their isotopic compositions (even for major elements such as carbon) (Amari et al. 2001; Nittler & Hoppe 2005).

Oxygen represents a unique problem. All nova models predict extreme oxygen isotopic compositions with very large excesses in 17O and depletions in 18O. For example, the CO nova model consistent with the C and N isotopic compositions observed in LAP-149 predicts a 16O/17O ratio of 352 and a 16O/18O ratio of 416,300, clearly inconsistent with the solar values observed in LAP-149 (Table 1). Such extreme O isotopic anomalies are also not observed in any other grains that have been suggested to originate from novae, including O-rich presolar grains (Gyngard et al. 2010b; Leitner et al. 2012). Previous studies have argued that the close-to-normal nitrogen, oxygen and silicon isotopic compositions of presolar graphite grains reflect isotopic equilibration by either chemical processing in the laboratory, or secondary aqueous/thermal alteration on their meteorite parent body asteroids (Stadermann et al. 2005; Groopman et al. 2012). However, LAP-149 was found in situ and did not undergo the chemical isolation procedures experienced by graphite grains from the Murchison and Orgueil meteorites. In addition, it is important to keep in mind that Murchison and Orgueil, the sources for all other presolar graphite grains, are well-known to have been highly affected by aqueous alteration (e.g., Le Guillou et al. 2014), with the common presence of secondary minerals, such as phyllosilicates and carbonates, identified in their matrix. In contrast, LAP 031117 has experienced very limited thermal and/or aqueous alteration (Chizmadia & Cabret-Lebron 2009); secondary minerals (e.g., phyllosilicates and carbonates) are extremely rare and were not observed in the area where the two graphite grains were identified, thus extensive isotopic equilibration is unlikely for LAP-149.

It has previously been shown that during NanoSIMS analysis of presolar grains identified in thin sections and densely packed grain dispersions, for small presolar grains (200–300 nm in diameter), the partial overlap of the primary beam onto both the grain and isotopically normal surrounding material can significantly dilute the measured isotopic compositions of the grain, by shifting its measured isotopic ratio toward the normal solar value (Nguyen et al. 2003, 2007). However, grain LAP-149 is ~1 μm in diameter and Nguyen et al. (2007) show that this dilution effect is limited for grains larger than about 600 nm (with a shift in δ18O of less than 15‰). As shown in Figure 5, the profile of the O isotopic ratios across the grain and the surrounding matrix area show that there is no O isotopic gradient in the grain, suggesting that the contribution of oxygen from the surrounding material is insignificant in LAP-149. Moreover, we were conservative in the integration area chosen for the reported isotopic ratios (Table 1) and considered only the central core region of the grain to be certain to avoid any contribution from isotopically normal surrounding material (Figure 5). Re-deposition of oxygen from surrounding areas onto the surface of the grain by the sputtering process is also unlikely as no variation of the O isotopic compositions is observed between the different layers. Finally, we also identified several small presolar silicate grains (250–300 nm in diameter), less than 50–100 μm away from the two graphite grains, which exhibit large 17O excesses (Haenecour et al. 2015). Even if O is only a trace element in graphite and a major element in silicate grains, it seems unlikely that one grain would get completely isotopically homogenized without homogenizing other neighboring grains (and without leaving any evidence of alteration in the surrounding matrix).

Figure 5.

Figure 5.

Profiles across grain LAP-149 and the surrounding matrix area of the NanoSIMS total oxygen-to-carbon count signal ratio (16,17,18O/12,13C), the estimated Auger elemental O/C ratio, and the 17O/16O and 18O/16O ratios. The Auger O/C ratio for point 3 is directly derived from the Auger spectrum, as the integration area for the Auger spectrum overlaps with point 3, and the other five points were extrapolated by comparison with the NanoSIMS O/C ratios.

The discrepancies between the models and the grain data for O isotopic compositions remain a puzzling characteristic for all nova grains, and underscore the need for additional modeling to understand the O isotopic composition of these grains. Unlike previous studies, the fact that we can rule out isotopic equilibration of our grain by secondary alteration or laboratory treatment is an important result that future studies will need to consider in nova models.

Finally, we consider elemental constraints. Astronomical observations indicate the presence of dust around most CO novae and spectral fitting suggests the presence of silicates, SiC, carbon, and hydrocarbons (Gehrz et al. 1998). The 0.6 M CO nova model consistent with the C and N isotopic compositions of LAP-149 predicts a C/O ratio above unity (C/O = 1.1), favorable for the condensation of carbonaceous grains, such as graphite. While condensation likely takes place dynamically in a nova environment, we computed equilibrium condensation sequences to provide preliminary estimates on the type of condensates and their condensation temperatures in low-mass CO nova ejecta for the relevant range of total pressures (10−5–10−8 bars) expected for the ejecta (Lodders & Fegley 1993; Lodders 2003; José et al. 2004; Lodders & Amari 2005). The major abundance differences for a low-mass CO nova, relative to solar, are the large increases in C (~200 times), N (~150 times), and O (90 times). Cooling of such a gas with an enhanced atomic ratio of C/O = 1.1 mostly leads to C-bearing condensates (Lodders & Fegley 1995; José et al. 2004). Our calculations indicate that graphite is predicted to condense from the gas under these conditions, and is stable above 1900 K for all total pressures considered here (Figure 6). Moreover, while the exact condensation sequence of other phases depends on pressure, graphite is always the only expected condensate for about 900 K below its initial condensation temperature, before SiC, AlN, Al2O3, and CaS condense (Figure 6). At 10−7 bar, the sequence is: C (2040 K), SiC (1191 K), AlN (1156 K), CaS (1089 K), and Al2O3 (1061 K). At 10−5 bar, it is slightly different: C (2229 K), AlN (1289 K), CaS (1217 K), Al2O3 (1204 K), and SiC (1182 K). The large thermal stability range of graphite observed in our models demonstrates that presolar graphite grains are expected to condense and remain stable in low-mass CO nova ejecta. Taken together, the evidence strongly suggests that LAP-149 condensed in the ejecta of a low-mass CO nova, and represents the first plausible CO nova grain identified in the presolar grain population.

Figure 6.

Figure 6.

Initial equilibrium temperature (K) and condensation sequences showing the different types of grains expected to form in the ejecta of a 0.6 M CO nova for total pressures of 10−5 and 10−7 bars.

4.3. Presolar Graphite Abundance in Type 3.0 CO Chondrite

Presolar graphite grains are among the least abundant presolar grain type, with bulk meteoritic abundances of about 1 ppm (Amari et al. 2014), although large variations (0.08–13.1 ppm, Figure 7) are observed between different carbonaceous and ordinary chondrite groups (Huss et al. 2003). There is no clear correlation between these abundance variations and the meteorite’s petrographic type. Indeed, the abundance of presolar graphite in Murchison is significantly higher (between ~1 and 4.7 ppm, Huss et al. 2003; Amari et al. 2014) than the one in ALHA77307 (CO3.00), although Murchison has experienced much more aqueous alteration. The reason for this is unclear, but might reflect heterogeneous distribution of these grains in their meteorite parent bodies.

Figure 7.

Figure 7.

Presolar graphite abundances in LAP 031117 compared with abundance estimates for several carbonaceous and ordinary chondrites (Huss & Lewis 1995; Huss et al. 2003; Amari et al. 2014).

Based on the sizes of the two presolar graphites identified, the total fine-grained area mapped (67,000 μm2) in LAP 031117 and an average matrix abundance in CO3 chondrites of about 30% (Krot et al. 2014), we estimate a bulk presolar graphite abundance of 53+7 ppm (Figure 7); the errors on this estimate are 1σ and are based on counting statistics (Gehrels 1986). This is the first presolar graphite abundance estimate based on direct in situ ion imaging.

While our estimate is associated with large uncertainties, it is at least an order of magnitude higher than the abundance of 0.08 ppm determined for ALHA77307, which was calculated from the abundances of noble gases in a meteorite acid residue (Huss et al. 2003). It is unlikely that this difference is due to different degrees of secondary processing (thermal or aqueous alteration) between LAP 031117 and ALHA77307, because both meteorites are CO3.00 chondrites that are only minimally affected by secondary processing and have similar abundances of both presolar silicates (~160 ppm) and SiC (~30 ppm) (Haenecour et al. 2015). Similar discrepancies between abundance estimates based on NanoSIMS raster ion imaging and noble gas measurements have also been reported for presolar SiC grains (Davidson et al. 2014). Possible explanations for the discrepancies are a dependence of noble gas abundances on grain size, partial loss of noble gases from some of the grains, or a heterogeneous distribution of presolar grains in fine-grained matrix areas (Davidson et al. 2014).

5. SUMMARY AND CONCLUSIONS

Our work on the in situ coordinated isotopic, elemental, and microstructural analyses of two graphite grains in the CO3.00 chondrite LAP 031117 can be summarized as follows:

  1. The isotopic composition of grain LAP-149 (extremely 13C-rich and 15N-poor) is in excellent agreement with the predictions from a 0.6 M CO nova model. LAP-149 thus represents the first plausible grain of CO nova origin, confirming that dust from novae contributed to the original building blocks of the solar system. The O isotope discrepancies between the stellar nucleosynthesis models and all nova candidates remain puzzling, and the fact that, unlike previous studies, we can rule out isotopic equilibration and/or mixing with solar composition material for our grain is an important result that future studies will need to consider in nova models.

  2. We report the first confirmed identification of a presolar iron sulfide subgrain inside a small graphite grain. Its carbon and sulfur isotopic compositions are similar to SiC X and C grains, suggesting an origin in the ejecta of a SN II.

  3. Based on the two graphite grains identified in LAP 031117, we estimate a bulk presolar graphite abundance of 53+7 ppm in this meteorite, consistent with the abundance in Murchison but significantly higher than an estimate based on noble gases in the ALHA77307 meteorite.

Acknowledgments

This work was funded by NASA Earth and Space Science Fellowship NNX12AN77H (P.H.); NASA Grants NNX14AG25G (C.F.), NNX16AD31G (S.A.), NNX13AM22G (A.W.), and NNX13AH08G (F.G.); MINECO grants AYA2013–42762-P and AYA2014–59084-P, and AGAUR (J.J.); and NSF Grant 1517541 (K.L.). We thank T. Smolar of Washington University for maintenance of the NanoSIMS 50 and Auger Nanoprobe. We are also grateful for a thorough and helpful review of the manuscript by an anonymous referee.

REFERENCES

  1. Amari S, Anders E, Virag A, & Zinner E 1990, Natur, 345, 238 [Google Scholar]
  2. Amari S, Gao X, Nittler LR, et al. 2001, ApJ, 551, 1065 [Google Scholar]
  3. Amari S, Lewis RS, & Anders E 1994, GeCoA, 58, 459 [Google Scholar]
  4. Amari S, Zinner E, & Gallino R 2014, GeCoA, 133, 479 [Google Scholar]
  5. Banerjee DPK, & Ashok NM 2012, BASI, 40, 243 [Google Scholar]
  6. Banerjee DPK, Srivastava MK, Ashok NM, et al. 2016, MNRAS, 455, L109 [Google Scholar]
  7. Bisterzo S, Gallino R, Straniero O, Cristallo S, & Käppeler F 2010, MNRAS, 404, 1529 [Google Scholar]
  8. Black DC, & Pepin RO 1969, E&PSL, 6, 395 [Google Scholar]
  9. Cameron AGW 1962, Icar, 1, 13 [Google Scholar]
  10. Cherchneff I, & Dwek E 2010, ApJ, 713, 1 [Google Scholar]
  11. Chizmadia LJ, & Cabret-Lebron E 2009, LPI, 40, 2031 [Google Scholar]
  12. Clayton DD, & Hoyle F 1976, ApJ, 203, 490 [Google Scholar]
  13. Croat TK, Bernatowicz TJ, & Daulton TL 2014, Elements, 10, 441 [Google Scholar]
  14. Davidson J, Busemann H, Nittler LR, et al. 2014, GeCoA, 139, 248 [Google Scholar]
  15. Evans A, & Rawlings MC 2008, in Classical Novae, ed. Bode MF, & Evans A (Cambridge: Cambridge Univ. Press; ), 308 [Google Scholar]
  16. Floss C, & Haenecour P 2016, GeocJ, 50, 3 [Google Scholar]
  17. Floss C, Stadermann FJ, & Bose M 2008, ApJ, 672, 1266 [Google Scholar]
  18. Fujiya W, Hoppe P, Zinner E, Pignatari M, & Herwig F 2013, ApJL, 776, L29 [Google Scholar]
  19. Gallino R, Arlandini C, Busso M, et al. 1998, ApJ, 497, 388 [Google Scholar]
  20. Gehrels N 1986, ApJ, 303, 336 [Google Scholar]
  21. Gehrz RD, Truran JW, Williams RE, & Starrfield S 1998, PASP, 110, 3 [Google Scholar]
  22. Grefenstette BW, Harrison FA, Boggs SE, et al. 2014, Natur, 506, 339. [DOI] [PubMed] [Google Scholar]
  23. Groopman E, Bernatowicz T, & Zinner E 2012, ApJL, 754, L8 [Google Scholar]
  24. Gyngard F, Amari S, Jadhav M, Zinner E, & Lewis RS 2006, LPI, 37, 2194 [Google Scholar]
  25. Gyngard F, Nittler LR, & Zinner E 2010a, M&PS, 45, A72 [Google Scholar]
  26. Gyngard F, Nittler LR, Zinner E, & José J 2010b, Proc. 11th Symp. on Nuclei in the Cosmos, Grains and gamma-ray observations (Trieste: SISSA), 141 [Google Scholar]
  27. Gyngard F, Orthous-Daunay F-R, Zinner E, & Moynier F 2012, M&PS, 47, 5255 [Google Scholar]
  28. Haenecour P, Zega TJ, Floss C, Croat TK, & Jolliff BL 2015, LPI, 46, 1160 [Google Scholar]
  29. Haenecour P, Zhao X, Floss C, Lin Y, & Zinner E 2013, ApJL, 768, L17 [Google Scholar]
  30. Heck PR, Amari S, Hoppe P, et al. 2009, ApJ, 701, 1415 [Google Scholar]
  31. Heck PR, Hoppe P, & Huth J 2012, M&PS, 47, 649 [Google Scholar]
  32. Hedrosa RP, Abia C, Busso M, et al. 2013, ApJL, 768, L11 [Google Scholar]
  33. Herwig F, Pignatari M, Woodward PR, et al. 2011, ApJ, 727, 89 [Google Scholar]
  34. Hony S, Tielens AGGM, Waters LBFM, & de Koter A 2003, A&A, 402, 211 [Google Scholar]
  35. Hony S, Waters LBFM, & Tielens AGGM 2002, A&A, 390, 533 [Google Scholar]
  36. Hoppe P, Amari S, Zinner E, & Lewis RS 1995, GeCoA, 59, 4029 [Google Scholar]
  37. Hoppe P, Fujiya W, & Zinner E 2012, ApJL, 745, L26 [Google Scholar]
  38. Hoppe P, Lodders K, & Fujiya W 2015, M&PS, 50, 1122 [Google Scholar]
  39. Huss GR, & Lewis RS 1995, GeCoA, 59, 115 [Google Scholar]
  40. Huss GR, Meshik AP, Smith JB, & Hohenberg CM 2003, GeCoA, 67, 4823 [Google Scholar]
  41. Hynes KM, Amari S, Bermatowicz TJ, et al. 2011, LPI, 43, 2333 [Google Scholar]
  42. Jadhav M, Pignatari M, Herwig F, et al. 2013a, ApJL, 777, L27 [Google Scholar]
  43. Jadhav M, Zinner E, Amari S, et al. 2013b, GeCoA, 113, 193 [Google Scholar]
  44. Jadhav M, Zinner E, Amari S, et al. 2014, Proc. of XIII Nuclei in the Cosmos (Trieste: SISSA), 004 [Google Scholar]
  45. José J 2016, Stellar Explosions: Hydrodynamics and Nucleosynthesis (Boca Raton, FL: CRC Press; ) [Google Scholar]
  46. José J, & Hernanz M 1998, ApJL, 494, 680 [Google Scholar]
  47. José J, & Hernanz M 2007, M&PS, 42, 1135 [Google Scholar]
  48. José J, Hernanz M, Amari S, Lodders K, & Zinner E 2004, ApJ, 612, 414 [Google Scholar]
  49. Krot AN, Keil K, Scott ERD, Goodrich CA, & Weisberg MK 2014, in Treatise on Geochemistry, ed. Turekian HDHK (2nd ed.; Oxford: Elsevier; ), 1 [Google Scholar]
  50. Lafuente B, Downs RT, Yang H, & Stone N 2015, in Highlights in Mineralogical Crystallography, ed. Armbruster T, & Danisi RM (Berlin: de Gruyter & Co; ), 1 [Google Scholar]
  51. Le Guillou C, Bernard S, Brearley AJ, & Remusat L 2014, GeCoA, 131, 368 [Google Scholar]
  52. Leitner J, Kodolányi J, Hoppe P, & Floss C 2012, ApJL, 754, L41 [Google Scholar]
  53. Liu N, Savina MR, Davis AM, et al. 2014, ApJ, 786, 66 [Google Scholar]
  54. Lodders K 2003, ApJ, 591, 1220 [Google Scholar]
  55. Lodders K 2006, in IAU Meeting 26, Presolar Grains as Astrophysical Tools, 11 [Google Scholar]
  56. Lodders K, & Amari S 2005, ChEG, 65, 93 [Google Scholar]
  57. Lodders K, & Fegley B Jr. 1993, E&PSL, 117, 125 [Google Scholar]
  58. Lodders K, & Fegley B Jr. 1995, Metic, 30, 661 [Google Scholar]
  59. Lodders K, & Fegley B Jr., 1999, in IAU Symp. Asymptotic Giant Branch Stars, ed. Le Bertre T, Lebre A, & Waelkens C, 279 [Google Scholar]
  60. Meyer BS, Weaver TA, & Woosley SE 1995, Metic, 30, 325 [Google Scholar]
  61. Nguyen A, Zinner E, & Lewis RS 2003, PASA, 20, 382 [Google Scholar]
  62. Nguyen AN, Stadermann FJ, Zinner E, et al. 2007, ApJ, 656, 1223 [Google Scholar]
  63. Nicolussi GK, Pellin MJ, Lewis RS, et al. 1998, ApJ, 504, 492 [Google Scholar]
  64. Nishizawa M, Maruyama S, Urabe T, Takahata N, & Sano Y 2010, Rapid Communications in Mass Spectrometry, 24, 1397. [DOI] [PubMed] [Google Scholar]
  65. Nittler LR, & Hoppe P 2005, ApJL, 631, L89 [Google Scholar]
  66. Nollett KM, Busso M, & Wasserburg GJ 2003, ApJ, 582, 1036 [Google Scholar]
  67. Orthous-Daunay F-R, Gyngard F, Moynier F, & Zinner E 2012, LPI, 43, 2697 [Google Scholar]
  68. Pignatari M, Zinner E, Bertolli MG, et al. 2013, ApJL, 771, L7 [Google Scholar]
  69. Pignatari M, Zinner E, Hoppe P, et al. 2015, ApJL, 808, 2 [Google Scholar]
  70. Rauscher T, Heger A, Hoffman RD, & Woosley SE 2002, ApJ, 576, 323 [Google Scholar]
  71. Reynolds JH, & Turner G 1964, JGR, 69, 3263 [Google Scholar]
  72. Rho J, Kazasa T, Reach WT, et al. 2008, ApJ, 673, 271 [Google Scholar]
  73. Sarangi A, & Cherchneff I 2015, A&A, 575 [Google Scholar]
  74. Slodzian G, Hillion F, Stadermann FJ, & Zinner E 2004, ApSS, 231, 874 [Google Scholar]
  75. Stadermann FJ, Floss C, Bose M, & Lea AS 2009, M&PS, 44, 1033 [Google Scholar]
  76. Stadermann, Croat TK, Bernatowicz TJ, et al. 2005, GeCoA, 69, 177 [Google Scholar]
  77. Wopenka B, Xu Y, Zinner E, & Amari S 2013, GeCoA, 106, 463 [Google Scholar]
  78. Xu Y, Zinner E, Gallino R, et al. 2015, ApJ, 799, 156 [Google Scholar]
  79. Zega TJ, Haenecour P, Floss C, & Stroud RM 2015, ApJ, 808, 55 [Google Scholar]
  80. Zinner E 2014, in Treatise on Geochemistry, ed. Turekian HDHK (2nd ed.; Oxford: Elsevier; ), 181 [Google Scholar]
  81. Zinner E, Amari S, Wopenka B, & Lewis RS 1995, Metic, 30, 209 [Google Scholar]

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