SUPPLEMENTARY INFORMATION

Size: px
Start display at page:

Download "SUPPLEMENTARY INFORMATION"

Transcription

1 SUPPLEMENTARY INFORMATION Extreme oxygen isotope anomaly with a solar origin detected in meteoritic organics Ko Hashizume, Naoto Takahata, Hiroshi Naraoka & Yuji Sano Supplementary Discussions Basic descriptions and preliminary analyses of Yamato (CR2) Although the studied meteorite, Yamato , is suggested to have experienced a mild thermal metamorphism on the parent body (Wang & Lipschutz, 1998), preliminary N-isotope analyses of the IOM using the stepwise combustion method (Yamamoto et al., 1998) showed d 15 N AIR value as high as +162 (see Supplementary Table 2). The obtained d 15 N AIR value is equivalent to the bulk IOM composition for Renazzo (Alexander et al., 1998), the most representative CR chondrite containing less altered organic matter (Pearson et al., 26), suggesting that the primordial isotope signatures among the organic matter may be well preserved in this Antarctic meteorite. The yield of the insoluble organic matter from this meteorite of.68 wt% (see Methods) is within the range observed among Antarctic CR2 chondrites ( wt%; Grady et al., 1991; Alexander et al., 27). Explanations for the enrichment of 17 O relative to 18 O among the anomalous O- isotope grains The small enrichment of 17 O relative to 18 O among the anomalous O-isotope grains is possibly explained by one of the following minor effects associated with the photodissociation of C 17 O and/or C 18 O, which may have occurred in addition to the main effect by the 12 C 16 O self-shielding. Inside a dense gas medium, the self-shielding of C 18 O may become important enough to make a rise in the 17 O/ 18 O ratio in the photodissociated products (Visser et al., 29; Lyons et al., 29). By the first nature geoscience 1

2 explanation, the 17 O-enrichment relative to 18 O observed in this study may pose a lower limit on the column density of CO molecules where the self-shielding was operative. However, the overall effect of the C 18 O self-shielding to alter the 17 O/ 18 O ratio could be partly dismissed (Visser et al., 29) because of the counter-balancing effect anticipated by the partial shielding of C 17 O, whose dissociation lines are quite close to those of C 16 O. Alternatively, the elevation of the 17 O/ 18 O ratio could be due to up to ~4% higher photodissociation rates of C 17 O at several lines, relative to those of C 18 O, suggested by the recent experiments (Chakraborty et al., 28). To resolve this issue, refinements are required in the spectroscopic model involved in the CO photodissociation, integrated in many O-isotope evolution models (Clayton, 22; Yurimoto & Kuramoto, 24; Lyons & Young, 25), where the absorption cross sections for all isotopologues of CO are preliminarily assumed to be the same. Supplementary Methods Note on O isotope calibration Because the BBOT standard sample accidentally charged up at the meteoritic O isotope session, the O isotope composition of the meteoritic IOM was first compared with the terrestrial kerogen sample, then finally calibrated by the formula as follows: d SMOW ={(R sample /R kerogen ) (R kerogen /R BBOT ) (R BBOT /R SMOW )-1} 1 (R= 17,18 O/ 16 O). The two pairs of ratios, (R sample /R kerogen ) and (R kerogen /R BBOT ), were respectively obtained by comparing the isotopic compositions measured by the nanosims during the same sessions, whereas (R BBOT /R SMOW ) was calibrated by traditional mass-spectrometry. Corrections on the isotope data obtained by the nanosims A complete set of H, C, N and O isotope images are obtained after the following corrections: 2 nature geoscience

3 (1) The count-loss of secondary ions by the EMs due to the dead-time (44nsec) was corrected. However, the corrections were unimportant for the data with positive oxygen and carbon isotope anomaly, because their ion intensities were not particularly strong (~1 5 and ~1 4 counts/sec for 16 O and 12 C, respectively). (2) Drifts in the position of the rastered area, by several mm, were confirmed to occur during respective analyses, which last for many hours. The drift was corrected by comparing ion images with strong ion counts (e.g., 1 H, 12 C or 16 O) for each cycle, determining the drifted distances to obtain the most focussed images when the ion images were stacked. (3) The slight differences in the rastered field between different analyses of the same area (H, C/CN, O isotopes and OH/O analyses) were corrected in the same scheme with the above correction, by comparing ideally the same ion species obtained by both analyses, or otherwise comparing different ions (e.g., C or CN, and H) potentially emitted from the same host phases. (4) The mass resolution power of the ion-probe was tuned to be high enough to resolve potential interfering ions at adjacent masses from the secondary ions of interest, i.e., H - 2 from 2 H - (M/DM=71); 12 CH - from 13 C - (291); 13 C 14 N - from 12 C 15 N - (427) and 16 OH - from 17 O - (471). Intensities of the interfering species were mostly comparable or weaker than those for the interested ions, except 16 OH -, which was much stronger than 17 O ( 16 OH - / 17 O - ~2) due to the hydrogen-rich nature of the sample. We paid particular attention to the interference of the broad tail of 16 OH - at the peak-top of 17 O -, which occurs typically at a level of (5±2.5) 1-5 times the 16 OH peak-height. The corrected amount on the bulk d 17 O SMOW value for the IOM sample was ~1. However, because the OH/O showed little correlation with the d 17 O values among the IOM samples, the trend between the d 17 O and d 18 O values observed in this study were almost invariable regardless of the correction. nature geoscience 3

4 (5) A monotonic gradation of the isotopic composition within the rastered area was observed commonly among the meteoritic and standard samples, by extents of typically 5 /mm for dd, and <1 /mm for others. This effect in the d value was corrected by multiplying to the isotopic ratio a rate proportional to the relative position from the center of the rastered area, so that the bulk value (d o ) was almost invariable by the correction. The corrections for d 17 O values on respective pixels were fixed to.52 those for the d 18 O values, so that mass-independent fractionations were never created by the correction. (6) The Quasi-Simultaneous-Arrival effect (Slodzian et al., 24) occurs by emission of more than one secondary ions per incident primary ion that cannot be resolved by the detectors. The maximum emission rates of 1 H -, 12 C -, 12 C 14 N - and 16 O - from the BBOT standard sample (C 26 H 26 N 2 O 2 S), whose composition is regarded to be not drastically different from the meteoritic IOM composition, were roughly evaluated to be of the orders of.13,.8,.23 and.3 counts of secondary ions per incident Cs + ion, respectively. We estimated the emission rates of the secondary ions by the imaging of BBOT. We assumed that the maximum counts measured among the rastered area the most closely represent the ideal secondary ion counts determined by the primary ion current, the emission rate of the secondary ion from the target sample, and the transmission of the secondary ion. The transmission was not accurately determined, but the maximum transmission under the given mass resolving power was assumed. According to the formula given by Slodzian et al. (24), we may roughly estimate the maximum amounts of corrections by this effect on the dd, d 13 C, d 15 N and d 17,18 O values to be 6, 4, 12 and 2, respectively, smaller than the ranges of d values observed in this study. However, because it is impossible to estimate the emission rates on respective pixels in our meteoritic sample, no corrections regarding this effect were performed in this study. 4 nature geoscience

5 Supplementary References Alexander, C. M. O'D., Fogel, M., Yabuta, H. & Cody, G. D. The origin and evolution of chondrites recorded in the elemental and isotopic compositions of their macromolecular organic matter. Geochim. Cosmochim. Acta 71, (27). Grady, M. M., Wright, I. P. & Pillinger, C. T. Comparisons between Antarctic and non- Antarctic meteorites based on carbon isotope geochemistry. Geochim. Cosmochim. Acta 55, (1991). Lyons, J. R. & Young, E. D. CO self-shielding as the origin of oxygen isotope anomalies in the early solar nebula. Nature 435, (25). Slodzian, G., Hillion, F., Stadermann, F. J. & Zinner, E. QSA influences on isotopic ratio measurements. App. Surf. Sci , (24). Wang, M.-S. & Lipschutz, M. E. Thermally metamorphosed carbonaceous chondrites from data for thermally mobile trace elements. Meteorit. Planet. Sci. 33, (1998). Yamamoto, T., Hashizume, K., Matsuda, J. & Kase, T. Distinct indigenous nitrogen isotopic components co-existing in ureilites. Meteorit. Planet. Sci. 33, (1998). nature geoscience 5

6 Supplementary Figure Legends Supplementary Fig. 1. Images of the isotope and elemental (secondary ion) compositions at Area #1 in the acid insoluble organic matter extracted from Yamato (CR2). The figures in black and white describe the stacked ionintensity images obtained at three different sessions, O isotope sessions ( 16 O and 13 C), C and N isotope sessions ( 12 C, 12 C 14 N) and H isotope sessions (H). The d values represent permil deviations of the isotopic ratios for respective pixels normalized by the bulk ratios calculated from the total ion counts obtained from the entire rastered area of 5 5mm 2. The s values represent the significance of the isotope anomalies, i.e., the d values divided by the counting statistic errors put on them. Isotopic anomalies are better recognized by the s images, where domains with significant d anomalies are clearly discriminated from those with less ion counts which exhibit noisy d values actually reflecting their large counting statistic errors. The ion-compound ratios (C - /O -, CN - /C - and OH - /O - ) are likewise normalized by the bulk ratio for the rastered area. The size of the pixels for the images is 78 78nm 2. The white bars shown at the bottom of respective panels denote 3mm scale bar. Supplementary Fig. 2. a,b. The d 18 O and d 13 C isotope images for the 17,18 O- rich domain in Yamato (CR2) IOM Area #1, where pixels with s 18 O < 5 are masked. Counterparts (domains with s 18 O < 5) are shown in c,d. In the (b) carbon isotope image for the 17,18 O-rich domain, significantly positive d 13 C values are confirmed among the majority of pixels. Supplementary Fig. 3. The d 18 O versus d 13 C diagram for Yamato (CR2) IOM Area #1. Data for pixels with O or C ion counts less than 1/25 the average counts are plotted in gray color. The inserted figure describes the s 18 O versus s 13 C relationship. Though it is difficult to confirm the correlation by the 6 nature geoscience

7 d 18 O versus d 13 C diagram, a broad positive correlation is observed among bulk of the data points in the s 18 O versus s 13 C diagram. Besides the main stream data exhibiting the correlation, with the highest d 13 C PDB values of 288±45 (d 18 O SMOW =134±22 ) (pixel#339 in Supplementary Data 1) or 285±46 (226±12 ) (pixel#287), a couple of exceptional data (848±44 (9±38 ) (pixel#3247); 457±41 (24±8 ) (pixel#2838)) are observed with large d 13 C (s 13 C) values but with little oxygen isotope anomaly, confirming the previous study (Floss & Stadermann, 29) on the IOM samples from CR3 chondrites that reports anomalous C isotope spots not particularly associated with isotope anomalies in O or N. Supplementary Fig. 4. The oxygen three-isotope diagram plotted for Yamato (CR2) IOM Area #1. The isotopic ratios are expressed in the forms of Ln(R/R SMOW ) 1 (R= 17,18 O/ 16 O), instead of the forms in traditional d expression, plotted in Fig. 2 of the main paper. In this diagram, isotope fractionation trends are expressed by straight lines. The slope-1 (d 17 O=d 18 O) line is shown for comparison. The inserted figure describes the s 17 O versus s 18 O relationship. Data for pixels with ion counts less than 1/25 the average counts are plotted in gray color. The solid line in this figure corresponds to the slope-1 line. Supplementary Fig. 5. Mean compositions (d 17 O, d 13 C, d 15 N, d D, C/O, OH/O and CN/C) plotted against the mean d 18 O values of the pixels sorted by their s 18 O values for Yamato (CR2) IOM Area #1. Note that d values are plotted here instead of the d values calibrated by the reference standards. The d value represents the isotopic anomalies normalized by the bulk composition for the rastered area. Each data point is calculated from the total counts of respective ions from pixels that fit within the range of n s 18 O<n+2 (n: even nature geoscience 7

8 numbers). The compositions of various compounds and isotopes are examined among the pixels with significantly anomalous d 18 O values. a. The histogram obtained by the sorting, and the mean d 18 O values for the pixels that belong to respective bins are plotted. b. The mean d 17 O and d 13 C values are plotted against the d 18 O values. c. The mean d 15 N and d D values are plotted against the d 18 O values. d. The C - /O -, OH - /O - and CN - /C - ratios normalized by the bulk ratios are plotted against the d 18 O values. Supplementary Fig. 6. Mean compositions (d 18 O, d 13 C, d 15 N, C/O, OH/O and CN/C) plotted against the mean d D values of the pixels sorted by their sd values for Yamato (CR2) IOM Area #1. Refer to the caption of Supplementary Fig. 5 for other notes. Supplementary Fig. 7. Mean compositions (d 18 O, d 15 N, d D, C/O, OH/O and CN/C) plotted against the mean d 13 C values of the pixels sorted by their s 13 C values for Yamato (CR2) IOM Area #1. Refer to the caption of Supplementary Fig. 5 for other notes. Supplementary Fig. 8. Mean compositions (d 18 O, d 13 C, d D, C/O, OH/O and CN/C) plotted against the mean d 15 N values of the pixels sorted by their s 15 N values for Yamato (CR2) IOM Area #1. Refer to the caption of Supplementary Fig. 5 for other notes. Supplementary Fig. 9. Scanning electron microprobe (SEM) backscattered electron image of Yamato (CR2) IOM Area #1 obtained after the SIMS analyses. The domains enclosed by the yellow lines represent those where their average elemental compositions, analysed by the energy dispersion spectroscopy (EDS) attached to the SEM, are shown in Supplementary Fig nature geoscience

9 The domains (b) to (e) are those which show characteristic O isotope composition, (b) normal, (c,d) 17,18 O-rich, or (e) 16 O-rich. Supplementary Fig. 1. The SEM-EDS spectra for several areas of Yamato (CR2) IOM Area #1 obtained after the SIMS analyses. The 4 domains (b-d), which are the subset of the whole area (a), are discriminated by their typical O isotopic compositions. Measurement has been performed by (EDS) JEOL JED-23 attached to (SEM) JEOL JSM-551LV, scanned by a 2 KeV electron beam working at a low vacuum mode. The vertical scales of respective panels are adjusted so that the heights of Cs La peaks at KeV, which originate from the primary beam of the nanosims, are roughly the same among the panels. Large amounts of fluorides seem to be present, produced during the chemical extraction procedure of the IOM. The entity of F peaks and important parts of Mg, Al and Si peaks likely come from the fluorides. We assign the peak at.68 KeV primarily to F Ka (.677 KeV), although some contribution from Fe La (.75 KeV) is anticipated. Peaks of Fe, Ni, Mn and most of the Cr likely originate from the stainless steel sample holder. Au comes from the gold-film applied before the SIMS analyses. Important parts of C, O and S peaks may originate from the organic sample. We acknowledge no particular difference in the overall spectra between the (c,d) 17,18 O-rich domains and (a) the whole area or (b) the normal O isotope domain, suggesting that the bulk chemical composition of the 17,18 O-rich O carrier is not largely different from the bulk organic sample, which is consistent with the observation by the nanosims. We also note that the heights of Si peaks in (c,d) are close to the background level, suggesting that quartz, which was the carrier for the 17,18 O-rich oxygen observed by Aléon et al. (25), is not the host phase for the 17,18 O-rich oxygen found in this study. The heights of O, Mg and Al peaks are distinguishably high nature geoscience 9

10 in the (e) 16 O-rich domain compared to the other spectra. We infer that the 16 O- rich oxygen is hosted in refractory oxide minerals enriched in Mg and Al. Supplementary Fig. 11. The d 18 O values of respective pixels of Yamato (CR2) IOM Area #1, plotted against the a. C/O ratios normalized by the bulk ratio, b. 16 O counts and c. 13 C counts. Data for pixels with O ion counts less than 1/25 the average counts are plotted in gray color. The extremely high d 18 O values occur in (a) at a broad range around the typical C/O ratio, i.e., C/O ~ C/O bulk, which likely represents the typical composition of the IOM. We infer that the carrier of the 17,18 O-rich oxygen is the organic matter with a composition not largely different from the bulk composition. In (b) and (c), the positive d 18 O values appear at broad ranges around the moderate counts of 16 O or 13 C. We may explain this by geometry effects in the measurement. The variations in the secondary ion counts per pixel measured by the ion-microprobe not only reflect the abundance and the emissivity of the elements from respective areas, but also, particularly in the case measuring the non-polished and irregularly-shaped samples, local geometric conditions of the samples, such as the shape, inclination or the roughness (Hashizume and Chaussidon, 29). The significantly positive d 18 O values observed at moderate 16 O counts, i.e., at not too low and not too high counts, suggest that the isotope anomaly is unrelated to the analytical artefacts related to the background noise of the detector or counting statistics, nor to the problems that may occur when measuring high ion intensities, such as the uncertainties in the dead-time correction for the electron multiplier or the QSA effect (Slodzian et al., 24). Significantly negative d 18 O values ( to -5 ) are observed at a C/O range as low as (1-1 to 1-2 ) x C/O bulk in (a), or at the highest counts of 16 O in (b). We infer that the 16 O-rich oxygen is hosted by oxide minerals possibly dispersed among the IOM (see 1 nature geoscience

11 Supplementary Figs. 9 and 1), possibly showing O isotopic compositions similar to the anhydrous minerals contained in primitive chondrites. Supplementary Fig. 12. Images of the isotopic ratios obtained from Yamato (CR2) IOM Area #2. Refer to the caption for Fig. 1 for other notes. The anomalous isotopic compositions for O, C, N and H observed in Area #1 are reproduced in a different area of the same sample. Supplementary Fig. 13. Images of the isotope and elemental (secondary ion) compositions of Yamato (CR2) IOM Area #2. Refer to the caption of Supplementary Fig. 1 for other notes. Supplementary Fig. 14. The oxygen three-isotope diagram plotted for Yamato (CR2) IOM Area #2. Refer to Fig. 2 for other notes. The 17,18 O-rich oxygen isotope anomaly observed in Area #1, plotted close to the slope-1 line, was reproduced in Area #2. The record (d 17 O SMOW, d 18 O SMOW ) values obtained in Area #2 are (+212±41, +171±18 ) (pixel#743 in Supplementary Data 2) or (+249±3, +162±13 ) (pixel#1743). Supplementary Fig. 15. Correlations between the d 18 O or dd anomalies and other isotope anomalies observed in Yamato (CR2) IOM Area #2. a,c. The average d 17 O, d 13 C, dd and d 15 N values plotted against the d 18 O values. Pixels are sorted by the significance of the d 18 O anomalies. b,d. The same with (a,c) but the pixels are sorted instead by the d D anomalies. The correlations observed in Area #1 between d 18 O and d 13 C values, and between dd and d 15 N values, were reproduced in Area #2. Supplementary Fig. 16. The oxygen three-isotope diagram plotted for terrestrial kerogen extracted from a Permian sedimentary rock. The shown data (Kerogen #1) are obtained just before the O isotope analysis for Yamato- nature geoscience 11

12 (CR2) IOM Area #1, and are used for calibration of the meteoritic data. The measurement was performed by the imaging mode, in the same protocol for the oxygen isotope measurement applied to the meteoritic IOM. Each data point represent ion counts obtained from an area of nm 2, or raw-pixels, a 16 larger area than the plots for the meteoritic IOM, to compare the performance of the isotopic analyses between data points for the meteoritic and standard samples with almost equivalent counting statistic errors. This is because the duration of the analysis for the terrestrial standard sample was much shorter (1/32) than for the meteoritic IOM analyses. Number of the data points is 225. Data for pixels with ion counts less than 1/25 the average counts are plotted in gray color. The inserted figure describes the s 17 O versus s 18 O relationship. Supplementary Fig. 17. Histograms of the significances in the d 18 O or D 17 O values among pixels obtained by the imaging of the terrestrial kerogen. The datasets are the same with those for Supplementary Fig. 16. The D 17 O value is defined by d 17 O.52xd 18 O, representing the deviation from the massdependent fractionation line. The curves shown in both panels represent the frequency expected by the Gaussian distribution, i.e., the proportion of pixels expected to fit in the section between s-.5 and s+.5. The distribution of the d 18 O values is broader than the Gaussian distribution, whereas the distribution of the D 17 O is totally explained by the counting statistics. We may conclude that there may exist some instrumental mass-fractionations locally within the imaging area, however, the fractionation, if exist, is a mass-dependent one. The standard mean deviation of the d 18 O values (2 ), weighed by the error bars, is larger than the standard size of their counting statistic errors (Ö{S(w err 2 )/Sw}) (14 ). This can be explained by existence of a local instrumental massfractionation in the 18 O/ 16 O ratio with a typical size of 14 that occur 12 nature geoscience

13 independently to the counting statistic deviation. The standard mean deviation of the D 17 O values is identical to the standard size of their counting statistic error bars (34 ). Supplementary Fig. 18. The bulk O isotopic compositions of the BBOT standard sample, compared among values measured at different spots. The deviations of respective d values from the average values among the nine measurements are shown here. All measurements fit within 2.2s deviation from the average value, which is reasonably explained by the counting statistics combined with a small uncertainty in the instrumental mass-fractionation ( 4 in d 18 O), which may occur locally as observed in the case of imaging analysis of terrestrial kerogen. nature geoscience 13

14 Supplementary Table 1. Bulk isotopic composition of Yamato (CR2) IOM obtained by NanoSIMS imaging, and the calibration with the running standard samples. Oxygen isotope calibration 17 O/ 16 O 18 O/ 16 O 13 C/ 16 O 16 OH/ 16 O Y IOM Area #1 *1,* (1s error bar, ) Terrestrial Kerogen (#1) (1s error bar, ) Y IOM Area #2 *1,* (1s error bar, ) Terrestrial Kerogen (#2) (1s error bar, ) d 17 O SMOW d 18 O SMOW D 17 O SMOW (*3) Y IOM Area #1 d o values ( ) (1s error bar, ) Y IOM Area #2 d o values ( ) (1s error bar, ) *1: Secular decay of 16 O sensitivity (.12 permil/cycle) corrected *2: Tail of 16 OH interfered to 17 O peaktop ( 16 OH x (5 ± 2.5) x 1-5 ) corrected. *3: D 17 O º d 17 O -.52 d 18 O Carbon & nitrogen isotope calibration 13 C/ 12 C 15 N/ 14 N CN/C Y IOM Area # Statistic Error ( ) Y IOM Area # Statistic Error ( ) BBOT (1st) Statistic Error ( ) BBOT (2nd) Statistic Error ( ) BBOT (3rd) Statistic Error ( ) BBOT (average) Standard Deviation ( ) nature geoscience

15 Carbon & nitrogen isotope calibration (continued) d 13 C PDB d 15 N AIR Y IOM Area #1 d o values ( ) (1s error bar, ) Y IOM Area #2 d o values ( ) (1s error bar, ) Hydrogen isotope calibration 2 H/ 1 H Y IOM Area # Statistic Error ( ) 5.6 Y IOM Area # Statistic Error ( ) 4.7 BBOT.9413 Statistic Error ( ) 8.9 dd SMOW Y IOM Area #1 d o value ( ) 1168 (1s error bar, ) 11 Y IOM Area #2 d o value ( ) 1392 (1s error bar, ) 1 Isotopic compositions of the standard samples d 18 O SMOW dd SMOW d 13 C PDB d 15 N AIR BBOT d values ( ) BBOT : C 26 H 26 N 2 O 2 S (2,5-Bis(5'-tert-butyl-2-benzoxazolyl)thiophene) BBOT values were calibrated using the traditional mass spectrometry. 18 O - / 16 O - 17 O - / 16 O - OH - /O - C - /O - Terrestrial Kerogen values (1s error bar, ) x( 18 O - / 16 O - ) BBOT x( 17 O - / 16 O - ) BBOT x(oh - /O - ) BBOT x(c - /O - ) BBOT Terrestrial Kerogen : Natural kerogen extracted from Permian sedimentary rock Ratios for BBOT and Kerogen obtained by the NanoSIMS under the same conditions are compared. nature geoscience 15

16 Supplementary Table 2. Nitrogen isotope data of Yamato (CR2) IOM obtained by the stepwise combustion analysis. Y IOM (.25 mg) Temperature ( o C) C (ppm) N (ppm) d 15 N AIR ( ) (1s error) ± ± ± ± ± ± ± 3.1 Total ±.5 See Yamamoto et al. (1998) for the analytical method 16 nature geoscience

17 IOM Area #1 δ 18 O 16 O >6 s 18 O > C 3mm δ 17 O <-3 >6 s 17 O -5 <-1 > <-3 <-5 12 C δ 13 C >6 s 13 C > C 14 N δ 15 N <-3 >6 s 15 N <-4 > <-3 <-5 1 H δ D >4 sd > Max- Count C/O CN/C <-1 OH/O <-5 1 n xbulk >1 x1-1.5 x <x1-3 <-1 Supplementary Fig. 1 Hashizume, Takahata, Naraoka & Sano, 211 nature geoscience 17

18 IOM Area #1 min = -1 ; max = +4 min = -1 ; max = +2 d 18 O SMOW (s 18 O³5) d 13 C PDB (s 18 O³5) >max d 18 O SMOW (s 18 O<5) d 13 C PDB (s 18 O<5) 8 <min A B C D E F G H A B C D E F G H Supplementary Fig. 2 Hashizume, Takahata, Naraoka & Sano, nature geoscience

19 IOM Area # s 13 C 1 s 18 O 2 5 d 13 C PDB ( ) d 18 O SMOW ( ) Supplementary Fig. 3 Hashizume, Takahata, Naraoka & Sano, 211 nature geoscience 19

20 IOM Area #1 Slope 1 Ln( 17 O/ 16 O/( 17 O/ 16 O) SMOW ) x1 ( ) s 17 O 1 s 18 O 1 2 Ln( 18 O/ 16 O/( 18 O/ 16 O) SMOW ) x1 ( ) Supplementary Fig. 4 Hashizume, Takahata, Naraoka & Sano, nature geoscience

21 2 1 Frequency (% of pixels ) a s 18 O d 17 O ( ) d 13 C ( ) d d 18 O ( ) Frequency 1 R/R bulk b c R = C/O R = OH/O R = CN/C d 15 N ( ) d D( ).5 d d 18 O ( ) Supplementary Fig. 5 Hashizume, Takahata, Naraoka & Sano, 211 nature geoscience 21

22 sd Frequency (% of pixels ) d D dd ( ) Frequency d 18 O ( ) d 13 C ( ) a 1 R/R bulk b c d 15 N ( ) R = C/O R = OH/O R = CN/C.5 d d D ( ) Supplementary Fig. 6 Hashizume, Takahata, Naraoka & Sano, nature geoscience

23 Frequency (% of pixels ) s 13 C d 13 C ( ) d 18 O ( ) d 13 C ( ) Frequency a b d 15 N ( ) d D ( ) R/R bulk c R = C/O R = OH/O R = CN/C.5 d d 13 C ( ) Supplementary Fig. 7 Hashizume, Takahata, Naraoka & Sano, 211 nature geoscience 23

24 Frequency (% of pixels ) s 15 N d 15 N ( ) d 15 N ( ) Frequency d 18 O ( ) d 13 C ( ) a b d D ( ) R/R bulk c R = C/O R = OH/O R = CN/C 1 d d 15 N ( ) Supplementary Fig. 8 Hashizume, Takahata, Naraoka & Sano, nature geoscience

25 IOM Area #1 a b c d e 1 mm Supplementary Fig. 9 Hashizume, Takahata, Naraoka & Sano, 211 nature geoscience 25

26 (a) Y Area #1, Whole Cr Ka C Ka Ni La Al Ka Si Ka Au Ma S Ka O Ka Mg Ka Cs La Cs Lb & Fe Kesc Mn Ka & Cr Kb Fe Kb F Ka & Fe La Fe Ka Ni Ka (b) Normal O Isotope Domain (c) 17,18 O-rich Domain, Part 1 (d) 17,18 O-rich Domain, Part 2 (e) 16 O-rich Domain Energy (kev) Supplementary Fig. 1 Hashizume, Takahata, Naraoka & Sano, nature geoscience

27 13 C counts 16 O counts C/O/(C/O)bulk IOM Area #1 a b c d 18 O SMOW ( ) Supplementary Fig. 11 Hashizume, Takahata, Naraoka & Sano, 211 nature geoscience 27

28 IOM Area #2 1 min = -12 ; max = +24 min = -12 ; max = +24 d 18 O SMOW d 13 C PDB max d 15 N AIR dd SMOW min = -15 ; max = +75 min = -1 ; max = +8 A B C D E F G H A B C D E F G H min Supplementary Fig. 12 Hashizume, Takahata, Naraoka & Sano, nature geoscience

29 IOM Area #2 16 O 3mm δ 18 O >3 s 18 O > C δ 17 O <-1 >3 s 17 O <-8 > <-1 <-4 12 C δ 13 C >2 s 13 C > C 14 N δ 15 N <-1 >8 s 15 N <-4 > <-2 <-5 1 H δ D >9 sd > Max- Count C/O CN/C CN/C <-1 OH/O <-4 1 n xbulk >1 x1-1.5 x <x1-3 <-1 Supplementary Fig. 13 Hashizume, Takahata, Naraoka & Sano, 211 nature geoscience 29

30 IOM Area #2 Slope 1 d 17 O SMOW ( ) s 17 O s 18 O 1 5 d 18 O SMOW ( ) Supplementary Fig. 14 Hashizume, Takahata, Naraoka & Sano, nature geoscience

31 IOM Area #2 a d 17 O SMOW d 13 C PDB b c d 15 N AIR dd SMOW /1 d d 18 O SMOW ( ) dd SMOW ( ) Supplementary Fig. 15 Hashizume, Takahata, Naraoka & Sano, 211 nature geoscience 31

32 Terrestrial Kerogen (Imaging) d 17 O ( ) s 18 O 2 s 17 O d 18 O ( ) Supplementary Fig. 16 Hashizume, Takahata, Naraoka & Sano, nature geoscience

33 Frequency (%) a. D 17 O b. d 18 O Terrestrial Kerogen (Imaging) s value º (D 17 O or d 18 O)/(Counting statistic errors) Supplementary Fig. 17 Hashizume, Takahata, Naraoka & Sano, 211 nature geoscience 33

34 d 17 O - d 17 O average BBOT Spot-to-Spot s 17 O s 18 O d 18 O - d 18 O average Supplementary Fig. 18 Hashizume, Takahata, Naraoka & Sano, nature geoscience

Supporting Online Material for

Supporting Online Material for www.sciencemag.org/cgi/content/full/1142021/dc1 Supporting Online Material for Remnants of the Early Solar System Water Enriched in Heavy Oxygen Isotopes Naoya Sakamoto, Yusuke Seto, Shoichi Itoh, Kiyoshi

More information

Supporting Information

Supporting Information Supporting Information Bindi et al. 10.1073/pnas.1111115109 Fig. S1. Electron microprobe X-ray elemental maps for the grain reported in Fig. 1B. Experimental details are given in Experimental Methods.

More information

A promising method to obtain more accurate Mg isotope compositional data on presolar silicate particles

A promising method to obtain more accurate Mg isotope compositional data on presolar silicate particles A promising method to obtain more accurate Mg isotope compositional data on presolar silicate particles János Kodolányi 1 Max Planck Institute for Chemistry, Particle Chemistry Department Johann-Joachim-Becher-Weg

More information

LAACHER SEE REVISITED: HIGH SPATIAL RESOLUTION ZIRCON DATING IMPLIES RAPID FORMATION OF A ZONED MAGMA CHAMBER -

LAACHER SEE REVISITED: HIGH SPATIAL RESOLUTION ZIRCON DATING IMPLIES RAPID FORMATION OF A ZONED MAGMA CHAMBER - LAACHER SEE REVISITED: HIGH SPATIAL RESOLUTION ZIRCON DATING IMPLIES RAPID FORMATION OF A ZONED MAGMA CHAMBER - DATA REPOSITORY ANALYTICAL PROCEDURES Ion microprobe U-Th measurements Th-U dating was performed

More information

MT Electron microscopy Scanning electron microscopy and electron probe microanalysis

MT Electron microscopy Scanning electron microscopy and electron probe microanalysis MT-0.6026 Electron microscopy Scanning electron microscopy and electron probe microanalysis Eero Haimi Research Manager Outline 1. Introduction Basics of scanning electron microscopy (SEM) and electron

More information

Secondary Ion Mass Spectrometry (SIMS) Thomas Sky

Secondary Ion Mass Spectrometry (SIMS) Thomas Sky 1 Secondary Ion Mass Spectrometry (SIMS) Thomas Sky Depth (µm) 2 Characterization of solar cells 0,0 1E16 1E17 1E18 1E19 1E20 0,2 0,4 0,6 0,8 1,0 1,2 P Concentration (cm -3 ) Characterization Optimization

More information

Characterization of presolar silicate and oxide grains in primitive. carbonaceous chondrites

Characterization of presolar silicate and oxide grains in primitive. carbonaceous chondrites Characterization of presolar silicate and oxide grains in primitive carbonaceous chondrites ANN N. NGUYEN 1, *, FRANK J. STADERMANN 1, ERNST ZINNER 1, RHONDA M. STROUD 2, CONEL M. O D. ALEXANDER 3, LARRY

More information

Lecture 31. Planetary Accretion the raw materials and the final compositions

Lecture 31. Planetary Accretion the raw materials and the final compositions Lecture 31 Planetary Accretion the raw materials and the final compositions Reading this week: White Ch 11 (sections 11.1-11.4) Today 1. Boundary conditions for Planetary Accretion Growth and Differentiation

More information

CARBONACEOUS CHONDRITES AND AQUEOUS ALTERATION

CARBONACEOUS CHONDRITES AND AQUEOUS ALTERATION CARBONACEOUS CHONDRITES AND AQUEOUS ALTERATION Discussion Summarizer: Ariel Deutsch Hiroi et al., 1996 INTRODUCTION The authors present a thermal metamorphism study by comparing the 0.7 µm, 3 µm, and UV

More information

FIB - SIMS. Focussed Ion Beam Secondary Ion Mass Spectrometry.

FIB - SIMS. Focussed Ion Beam Secondary Ion Mass Spectrometry. FIB - SIMS Focussed Ion Beam Secondary Ion Mass Spectrometry Outline Introduction to Hiden Analytical Introduction to SIMS FIB-SIMS - Introduction and key features FIB-SIMS - Applications data Hiden SIMS

More information

ToF-SIMS or XPS? Xinqi Chen Keck-II

ToF-SIMS or XPS? Xinqi Chen Keck-II ToF-SIMS or XPS? Xinqi Chen Keck-II 1 Time of Flight Secondary Ion Mass Spectrometry (ToF-SIMS) Not ToF MS (laser, solution) X-ray Photoelectron Spectroscopy (XPS) 2 3 Modes of SIMS 4 Secondary Ion Sputtering

More information

Shock Effects in CML 0175: The Wow Stone

Shock Effects in CML 0175: The Wow Stone PSU McNair Scholars Online Journal Volume 3 Issue 1 Identity, Communities, and Technology: On the Cusp of Change Article 17 2009 Shock Effects in CML 0175: The Wow Stone Kristy Hauver Portland State University

More information

Supernova mixing to reproduce isotopic ratios of presolar grains

Supernova mixing to reproduce isotopic ratios of presolar grains Supernova mixing to reproduce isotopic ratios of presolar grains Division of Theoretical Astronomy, National Astronomical Observatory of Japan E-mail: takashi.yoshida@nao.ac.jp Presolar grains are considered

More information

TECHNIC A L WORK ING GROUP ITWG GUIDELINE ON SECONDARY ION MASS SPECTROMETRY (SIMS)

TECHNIC A L WORK ING GROUP ITWG GUIDELINE ON SECONDARY ION MASS SPECTROMETRY (SIMS) NUCLE A R FORENSIC S INTERN ATION A L TECHNIC A L WORK ING GROUP ITWG GUIDELINE ON SECONDARY ION MASS SPECTROMETRY (SIMS) EXECUTIVE SUMMARY Secondary Ion Mass Spectrometry (SIMS) is used for elemental

More information

CHARACTERIZATION OF PRESOLAR SILICATE AND OXIDE GRAINS IN PRIMITIVE CARBONACEOUS CHONDRITES

CHARACTERIZATION OF PRESOLAR SILICATE AND OXIDE GRAINS IN PRIMITIVE CARBONACEOUS CHONDRITES The Astrophysical Journal, 656:1223 1240, 2007 February 20 # 2007. The American Astronomical Society. All rights reserved. Printed in U.S.A. CHARACTERIZATION OF PRESOLAR SILICATE AND OXIDE GRAINS IN PRIMITIVE

More information

Observations Regarding Automated SEM and SIMS Analysis of Minerals. Kristofor Ingeneri. April 22, 2009

Observations Regarding Automated SEM and SIMS Analysis of Minerals. Kristofor Ingeneri. April 22, 2009 Observations Regarding Automated SEM and SIMS Analysis of Minerals Kristofor Ingeneri April 22, 2009 Forensic Geoscience A field of inquiry that utilizes techniques developed in the geosciences (geology,

More information

MS482 Materials Characterization ( 재료분석 ) Lecture Note 4: XRF

MS482 Materials Characterization ( 재료분석 ) Lecture Note 4: XRF 2016 Fall Semester MS482 Materials Characterization ( 재료분석 ) Lecture Note 4: XRF Byungha Shin Dept. of MSE, KAIST 1 Course Information Syllabus 1. Overview of various characterization techniques (1 lecture)

More information

Electron probe microanalysis - Electron microprobe analysis EPMA (EMPA) What s EPMA all about? What can you learn?

Electron probe microanalysis - Electron microprobe analysis EPMA (EMPA) What s EPMA all about? What can you learn? Electron probe microanalysis - Electron microprobe analysis EPMA (EMPA) What s EPMA all about? What can you learn? EPMA - what is it? Precise and accurate quantitative chemical analyses of micron-size

More information

Circumstellar and interstellar material in the CO3 chondrite ALHA77307: An isotopic and elemental investigation

Circumstellar and interstellar material in the CO3 chondrite ALHA77307: An isotopic and elemental investigation Available online at www.sciencedirect.com Geochimica et Cosmochimica Acta 93 (2012) 77 101 www.elsevier.com/locate/gca Circumstellar and interstellar material in the CO3 chondrite ALHA77307: An isotopic

More information

APPENDICES. Appendix 1

APPENDICES. Appendix 1 Corthouts, T.L., Lageson, D.R., and Shaw, C.A., 2016, Polyphase deformation, dynamic metamorphism and metasomatism of Mount Everest s summit limestone, east central Himalaya, Nepal/Tibet: Lithosphere,

More information

Secondary ion mass spectrometry (SIMS)

Secondary ion mass spectrometry (SIMS) Secondary ion mass spectrometry (SIMS) Lasse Vines 1 Secondary ion mass spectrometry O Zn 10000 O 2 Counts/sec 1000 100 Li Na K Cr ZnO 10 ZnO 2 1 0 20 40 60 80 100 Mass (AMU) 10 21 10 20 Si 07 Ge 0.3 Atomic

More information

Terrestrial and Extraterrestrial Applications of the Carnegie NanoSIMS

Terrestrial and Extraterrestrial Applications of the Carnegie NanoSIMS Terrestrial and Extraterrestrial Applications of the Carnegie NanoSIMS Larry Nittler SIMS Group Department of Terrestrial Magnetism Carnegie Institution of Washington Erik Hauri Conel Alexander Jianhua

More information

Cosmochemical application of High Precision Multi-collector SIMS

Cosmochemical application of High Precision Multi-collector SIMS Cosmochemical application of High Precision Multi-collector SIMS Oxygen Three Isotopes in Chondrules Early Solar System Chronology of Refractory Inclusions Noriko Kita Wisc-SIMS Laboratory, University

More information

Interstellar Organic Matter in Meteorites

Interstellar Organic Matter in Meteorites Page 1 of 5 posted May 26, 2006 Interstellar Organic Matter in Meteorites --- Carbonaceous chondrites contain organic compounds with high deuterium/hydrogen ratios, suggesting they formed in interstellar

More information

Application of NanoSIMS on Organo Mineral Structures

Application of NanoSIMS on Organo Mineral Structures Application of NanoSIMS on Organo Mineral Structures Carmen Höschen*, Carsten W. Mueller, Katja Heister, Johann Lugmeier and Ingrid Kögel-Knabner Lehrstuhl für Bodenkunde, TU München, 85350 Freising-Weihenstephan,

More information

ANALYTICAL TECHNIQUES

ANALYTICAL TECHNIQUES ANALYTICAL TECHNIQUES Raman Spectra Raman spectra were obtained by use of a T64000 (JY Horiba) triple-stage laser- Raman system having both macro-raman and confocal micro-raman capability which permits

More information

The analysis of particles of nuclear material finding the proverbial needle in a hay stack

The analysis of particles of nuclear material finding the proverbial needle in a hay stack San Diego, 18-22 February 2010 AAAS Annual Meeting 1 The analysis of particles of nuclear material finding the proverbial needle in a hay stack AAAS Annual Meeting San Diego, February 19, 2010 Klaus Luetzenkirchen

More information

Lecture 5. Introduction to Stable Isotopes

Lecture 5. Introduction to Stable Isotopes Lecture 5 Introduction to Stable Isotopes Stable Isotope Geochemistry Primarily concerned with the isotope ratios of H, C, N, O, and S Si and B often included and new instrumentation has opened up others

More information

Geogenic versus Anthropogenic Metals and Metalloids

Geogenic versus Anthropogenic Metals and Metalloids Geogenic versus Anthropogenic Metals and Metalloids Geochemical methods for evaluating whether metals and metalloids are from geogenic versus anthropogenic sources 1 Definitions Geogenic from natural geological

More information

atomic absorption spectroscopy general can be portable and used in-situ preserves sample simpler and less expensive

atomic absorption spectroscopy general can be portable and used in-situ preserves sample simpler and less expensive Chapter 9: End-of-Chapter Solutions 1. The following comparison provides general trends, but both atomic absorption spectroscopy (AAS) and atomic absorption spectroscopy (AES) will have analyte-specific

More information

Characterization of Secondary Emission Materials for Micro-Channel Plates. S. Jokela, I. Veryovkin, A. Zinovev

Characterization of Secondary Emission Materials for Micro-Channel Plates. S. Jokela, I. Veryovkin, A. Zinovev Characterization of Secondary Emission Materials for Micro-Channel Plates S. Jokela, I. Veryovkin, A. Zinovev Secondary Electron Yield Testing Technique We have incorporated XPS, UPS, Ar-ion sputtering,

More information

Silicate Stardust in Meteorites

Silicate Stardust in Meteorites 1 of 8 posted June 1, 2004 Silicate Stardust in Meteorites --- Silicates are the most abundant solids in disks around growing stars, but presolar silicates have not been found in even the most primitive

More information

NanoSIMS analysis and Auger electron spectroscopy of silicate and oxide stardust from the carbonaceous chondrite Acfer 094

NanoSIMS analysis and Auger electron spectroscopy of silicate and oxide stardust from the carbonaceous chondrite Acfer 094 Available online at www.sciencedirect.com Geochimica et Cosmochimica Acta 73 (2009) 7127 7149 www.elsevier.com/locate/gca NanoSIMS analysis and Auger electron spectroscopy of silicate and oxide stardust

More information

Th) ) dating of micro-baddeleyite

Th) ) dating of micro-baddeleyite U-Pb (and U-ThU Th) ) dating of micro-baddeleyite 30 μm Axel K. Schmitt UCLA SIMS, NSF National Ion Microprobe Facility Collaborators: T. Mark Harrison (UCLA) Kevin Chamberlain (University of Wyoming)

More information

Secondary Ion Mass Spectroscopy (SIMS)

Secondary Ion Mass Spectroscopy (SIMS) Secondary Ion Mass Spectroscopy (SIMS) Analyzing Inorganic Solids * = under special conditions ** = semiconductors only + = limited number of elements or groups Analyzing Organic Solids * = under special

More information

THE COMPTON EFFECT Last Revised: January 5, 2007

THE COMPTON EFFECT Last Revised: January 5, 2007 B2-1 THE COMPTON EFFECT Last Revised: January 5, 2007 QUESTION TO BE INVESTIGATED: How does the energy of a scattered photon change after an interaction with an electron? INTRODUCTION: When a photon is

More information

XM1/331 XM1/331 BLFX-3 XM1/331

XM1/331 XM1/331 BLFX-3 XM1/331 a b AkC AkC strontian fluoro-apatite clinopyroxene phlogopite K-richterite XM1/331 clinopyroxene XM1/331 Fe-Ti ox c d clinopyroxene kric AkC ilmenite Sr-barite AkC XM1/331 BLFX-3 Supplementary Figure 1.

More information

Massachusetts Institute of Technology. Dr. Nilanjan Chatterjee

Massachusetts Institute of Technology. Dr. Nilanjan Chatterjee Massachusetts Institute of Technology Dr. Nilanjan Chatterjee Electron Probe Micro-Analysis (EPMA) Imaging and micrometer-scale chemical compositional analysis of solids Signals produced in The Electron

More information

Oxygen isotope systematics of chondrules in the Allende CV3 chondrite: High precision ion microprobe studies

Oxygen isotope systematics of chondrules in the Allende CV3 chondrite: High precision ion microprobe studies Available online at www.sciencedirect.com Geochimica et Cosmochimica Acta 75 (2011) 7596 7611 www.elsevier.com/locate/gca Oxygen isotope systematics of chondrules in the Allende CV3 chondrite: High precision

More information

Record of ancient Martian hydrosphere preserved in zircon from a Martian meteoritie

Record of ancient Martian hydrosphere preserved in zircon from a Martian meteoritie SUPPLEMENTARY INFORMATION DOI: 1.138/NGEO2231 Record of ancient Martian hydrosphere preserved in zircon from a Martian meteoritie A. A. Nemchin 1,2, M. Humayun 3, M. J. Whitehouse 1, R. H. Hewins 4,5,

More information

MICRO-TOMOGRAPHY AND X-RAY ANALYSIS OF GEOLOGICAL SAMPLES

MICRO-TOMOGRAPHY AND X-RAY ANALYSIS OF GEOLOGICAL SAMPLES THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 18, Number 1/2017, pp. 42 49 MICRO-TOMOGRAPHY AND X-RAY ANALYSIS OF GEOLOGICAL SAMPLES Ion GRUIA University

More information

Lecture 22 Ion Beam Techniques

Lecture 22 Ion Beam Techniques Lecture 22 Ion Beam Techniques Schroder: Chapter 11.3 1/44 Announcements Homework 6/6: Will be online on later today. Due Wednesday June 6th at 10:00am. I will return it at the final exam (14 th June).

More information

Trace Elements - Definitions

Trace Elements - Definitions Trace Elements - Definitions Elements that are not stoichiometric constituents in phases in the system of interest For example, IG/MET systems would have different trace elements than aqueous systems Do

More information

Analysis of Cadmium (Cd) in Plastic Using X-ray Fluorescence Spectroscopy

Analysis of Cadmium (Cd) in Plastic Using X-ray Fluorescence Spectroscopy Analysis of Cadmium (Cd) in Plastic Using X-ray Fluorescence Spectroscopy Hiroshi Onodera Application & Research Center, JEOL Ltd. Introduction um, PBB and PBDE) are subject to usage restrictions in Europe.

More information

An Introduction to Auger Electron Spectroscopy

An Introduction to Auger Electron Spectroscopy An Introduction to Auger Electron Spectroscopy Spyros Diplas MENA3100 SINTEF Materials & Chemistry, Department of Materials Physics & Centre of Materials Science and Nanotechnology, Department of Chemistry,

More information

rinds for 8 Loihi rocks. Sample spectra, fits and model compounds are shown in Figure S5. All

rinds for 8 Loihi rocks. Sample spectra, fits and model compounds are shown in Figure S5. All SUPPLEMENTARY INFORMATION Supplementary Table 1 Sample Location %Mats (M34, M39) 2L-FH (III)- smectite Vivianite Basalt glass red chi 2 J2-369-R2 Marker 17a 30% 21% - 11% 38% 0.06 J2-369-R5 Marker 17a

More information

Automated Isotopic Measurements of Micron-Sized Dust: Application to Meteoritic Presolar Silicon Carbide

Automated Isotopic Measurements of Micron-Sized Dust: Application to Meteoritic Presolar Silicon Carbide Automated Isotopic Measurements of Micron-Sized Dust: Application to Meteoritic Presolar Silicon Carbide Larry R. Nittler and Conel M. O D. Alexander Department of Terrestrial Magnetism, Carnegie Institution

More information

Chemistry 311: Instrumentation Analysis Topic 2: Atomic Spectroscopy. Chemistry 311: Instrumentation Analysis Topic 2: Atomic Spectroscopy

Chemistry 311: Instrumentation Analysis Topic 2: Atomic Spectroscopy. Chemistry 311: Instrumentation Analysis Topic 2: Atomic Spectroscopy Topic 2b: X-ray Fluorescence Spectrometry Text: Chapter 12 Rouessac (1 week) 4.0 X-ray Fluorescence Download, read and understand EPA method 6010C ICP-OES Winter 2009 Page 1 Atomic X-ray Spectrometry Fundamental

More information

Characterization of individual free-standing nanoobjects by cluster SIMS in transmission

Characterization of individual free-standing nanoobjects by cluster SIMS in transmission Characterization of individual free-standing nanoobjects by cluster SIMS in transmission Running title: Characterization of individual free-standing nano-objects by cluster SIMS in transmission Running

More information

GSA Data Repository

GSA Data Repository GSA Data Repository 2019057 1 METHODS Grain Boundary Imaging and Orientation Analysis Backscatter electron (BSE) maps of thin sections were acquired using the FEI Verios XHR scanning electron microscope

More information

Supplementary Figures. Supplementary Figure 1. 2D-GIWAXS of PEDOT:PSS with varying EG content in dispersion.

Supplementary Figures. Supplementary Figure 1. 2D-GIWAXS of PEDOT:PSS with varying EG content in dispersion. Supplementary Figures Supplementary Figure 1. 2D-GIWAXS of PEDOT:PSS with varying EG content in dispersion. 1 Supplementary Figure 2. Contrast of PEDOT to PSS. a. Optical constants (n=1-δ+iβ) for Na:PSS

More information

Secondary Ion Mass Spectrometry (SIMS)

Secondary Ion Mass Spectrometry (SIMS) Secondary Ion Mass Spectrometry (SIMS) SIMS: a desorption/ionization technique 1960s - A. Benninghoven, University of Münster, Germany (Benninghoven A., Rudenauer F.G., Werner H.W., Secondary Ion Mass

More information

Breeding et al., Data Repository Material Figure DR1. Athens. Study Area

Breeding et al., Data Repository Material Figure DR1. Athens. Study Area Breeding, Ague, and Brocker 1 Figure DR1 21 o 24 Greece o A 38 o Athens Tinos 37 o Syros Attic-Cycladic Blueschist Belt Syros Kampos B Study Area Ermoupoli N Vari Unit Cycladic HP-LT Unit Marble horizons

More information

Electron Microprobe Analysis 1 Nilanjan Chatterjee, Ph.D. Principal Research Scientist

Electron Microprobe Analysis 1 Nilanjan Chatterjee, Ph.D. Principal Research Scientist 12.141 Electron Microprobe Analysis 1 Nilanjan Chatterjee, Ph.D. Principal Research Scientist Massachusetts Institute of Technology Electron Microprobe Facility Department of Earth, Atmospheric and Planetary

More information

Electron Microprobe Analysis 1 Nilanjan Chatterjee, Ph.D. Principal Research Scientist

Electron Microprobe Analysis 1 Nilanjan Chatterjee, Ph.D. Principal Research Scientist 12.141 Electron Microprobe Analysis 1 Nilanjan Chatterjee, Ph.D. Principal Research Scientist Massachusetts Institute of Technology Electron Microprobe Facility Department of Earth, Atmospheric and Planetary

More information

ALUMINUM-, CALCIUM- AND TITANIUM-RICH OXIDE STARDUST IN ORDINARY CHONDRITE METEORITES

ALUMINUM-, CALCIUM- AND TITANIUM-RICH OXIDE STARDUST IN ORDINARY CHONDRITE METEORITES The Astrophysical Journal, 682:1450Y1478, 2008 August 1 # 2008. The American Astronomical Society. All rights reserved. Printed in U.S.A. ALUMINUM-, CALCIUM- AND TITANIUM-RICH OXIDE STARDUST IN ORDINARY

More information

PSRD: A Complication in Determining the Precise Age of the Solar System

PSRD: A Complication in Determining the Precise Age of the Solar System January 21, 2010 A Complication in Determining the Precise Age of the Solar System --- The presence of short-lived isotope Curium-247 in the early Solar System complicates the job of dating the earliest

More information

Secondary Ion Mass Spectrometry (SIMS) for Surface Analysis

Secondary Ion Mass Spectrometry (SIMS) for Surface Analysis Secondary Ion Mass Spectrometry (SIMS) for Surface Analysis General overview of SIMS - principles, ionization, advantages & limitations SIMS as a surface analysis technique - operation modes, information

More information

Astrochemistry (2) Interstellar extinction. Measurement of the reddening

Astrochemistry (2) Interstellar extinction. Measurement of the reddening Measurement of the reddening The reddening of stellar colours casts light on the properties of interstellar dust Astrochemistry (2) Planets and Astrobiology (2016-2017) G. Vladilo The reddening is measured

More information

λmax = k d Supplementary Figures

λmax = k d Supplementary Figures Supplementary Figures a b HQ CCD Transmission Grating Beam splitting lens Color CCD Objective Sample Dark-field Condenser Raw data Gaussian fit c λmax = k d k = 1.733 nm/pixel 53 nm 307 pixels d Supplementary

More information

Metcalf and Buck. GSA Data Repository

Metcalf and Buck. GSA Data Repository GSA Data Repository 2015035 Metcalf and Buck Figure DR1. Secondary ionization mass-spectrometry U-Pb zircon geochronology plots for data collected on two samples of Wilson Ridge plutonic rocks. Data presented

More information

Nitrogen speciation in upper mantle fluids and the origin of Earth s nitrogen-rich atmosphere

Nitrogen speciation in upper mantle fluids and the origin of Earth s nitrogen-rich atmosphere Supporting Online Material for Nitrogen speciation in upper mantle fluids and the origin of Earth s nitrogen-rich atmosphere Sami Mikhail & Dimitri Sverjensky S1. Supplementary discussion S1.1 The selection

More information

EPMA IMAGES. Figure 9. Energy-dispersive spectra of spot mineral analyses in sample 89GGR-33A for locations 1-5 in Figure 8.

EPMA IMAGES. Figure 9. Energy-dispersive spectra of spot mineral analyses in sample 89GGR-33A for locations 1-5 in Figure 8. EPMA IMAGES The attached images and mineral data can be used to supplement an instrument-based lab, or serve as the basis for lab that can be completed without an instrument. Please provide credit for

More information

Auger Electron Spectrometry. EMSE-515 F. Ernst

Auger Electron Spectrometry. EMSE-515 F. Ernst Auger Electron Spectrometry EMSE-515 F. Ernst 1 Principle of AES electron or photon in, electron out radiation-less transition Auger electron electron energy properties of atom 2 Brief History of Auger

More information

Partial Energy Level Diagrams

Partial Energy Level Diagrams Partial Energy Level Diagrams 460 nm 323 nm 610 nm 330 nm 819 nm 404 nm 694 nm 671 nm 589 / 590 nm 767 / 769 nm Lithium Sodium Potassium Gas Mixtures Maximum Temperatures, C Air-Coal Gas 1825 Air-Propane

More information

Supplementary Information

Supplementary Information Supplementary Information Supplementary Figures Supplementary figure S1: Characterisation of the electron beam intensity profile. (a) A 3D plot of beam intensity (grey value) with position, (b) the beam

More information

The University of Alabama 1 st APT Workshop for Earth Sciences

The University of Alabama 1 st APT Workshop for Earth Sciences The University of Alabama 1 st APT Workshop for Earth Sciences January 2016 David Reinhard LEAP 5000 www.cameca.com Microstructure characterization technique (UHV) that uses field evaporation (high electric

More information

Particle Analysis of Environmental Swipe Samples

Particle Analysis of Environmental Swipe Samples IAEA-SM-367/10/07 Particle Analysis of Environmental Swipe Samples D. DONOHUE, S. VOGT, A. CIURAPINSKI, F. RUEDENAUER, M. HEDBERG Safeguards Analytical Laboratory International Atomic Energy Agency Vienna,

More information

Chem 434 Instrumental Analysis Test 1

Chem 434 Instrumental Analysis Test 1 Chem 434 Instrumental Analysis Test 1 Name: 1. (15 points) In Chapter 5 we discussed four sources of instrumental noise: Thermal Noise, Shot Noise, Flicker Noise, and Environmental noise. Discuss the differences

More information

New insights on thermal properties of asteroids using IR interferometry

New insights on thermal properties of asteroids using IR interferometry New insights on thermal properties of asteroids using IR interferometry Alexis MATTER Marco Delbo Benoit Carry Sebastiano Ligori 1 PLAN Introduction Thermal properties of asteroids Physical parameters

More information

Highly efficient SERS test strips

Highly efficient SERS test strips Electronic Supplementary Information (ESI) for Highly efficient SERS test strips 5 Ran Zhang, a Bin-Bin Xu, a Xue-Qing Liu, a Yong-Lai Zhang, a Ying Xu, a Qi-Dai Chen, * a and Hong-Bo Sun* a,b 5 10 Experimental

More information

Ion microprobe Al Mg dating of single plagioclase grains in an Efremovka chondrule

Ion microprobe Al Mg dating of single plagioclase grains in an Efremovka chondrule Geochemical Journal, Vol. 48, pp. 133 to 144, 2014 doi:10.2343/geochemj.2.0294 Ion microprobe Al Mg dating of single agioclase grains in an Efremovka chondrule YUJI SANO, 1 * MIO TAKADA, 1,2 NAOTO TAKAHATA,

More information

GEOLOGICAL LOG INTERPRETATION TUTORIAL

GEOLOGICAL LOG INTERPRETATION TUTORIAL GEOLOGICAL LOG INTERPRETATION TUTORIAL Text and Figures by Geoff Bohling and John Doveton The following pages will familiarize you with the basics of the geological interpretation of common logs as they

More information

The Barberton Greenstone Belt (BGB) of South Africa contains some of the world s

The Barberton Greenstone Belt (BGB) of South Africa contains some of the world s GSA Data Repository Items Geological Setting The Barberton Greenstone Belt (BGB) of South Africa contains some of the world s oldest and best-preserved pillow lavas. This study investigates the upper Hooggenoeg

More information

IMPLEMENTATION OF THE MONTE CARLO-LIBRARY LEAST- SQUARES APPROACH TO ENERGY DISPERSIVE X-RAY FLUORESCENCE ANALYSIS

IMPLEMENTATION OF THE MONTE CARLO-LIBRARY LEAST- SQUARES APPROACH TO ENERGY DISPERSIVE X-RAY FLUORESCENCE ANALYSIS 227 IMPLEMENTATION OF THE MONTE CARLO-LIBRARY LEAST- SQUARES APPROACH TO ENERGY DISPERSIVE X-RAY FLUORESCENCE ANALYSIS Fusheng Li, Weijun Guo, and Robin P. Gardner Center for Engineering Applications of

More information

Topic 3: Periodic Trends and Atomic Spectroscopy

Topic 3: Periodic Trends and Atomic Spectroscopy Topic 3: Periodic Trends and Atomic Spectroscopy Introduction Valence Electrons are those in the outer most shell of an element and are responsible for the bonding characteristics of that element. Core

More information

Analyse de la météorite "Paris" par faisceaux d'ions et d'agrégats. Manale NOUN 12 Février 2013

Analyse de la météorite Paris par faisceaux d'ions et d'agrégats. Manale NOUN 12 Février 2013 Analyse de la météorite "Paris" par faisceaux d'ions et d'agrégats Manale NOUN 12 Février 213 Météorite «Paris» «Paris» : a CM chondrite (Blanchard et al., MetSoc 74, 211) 1.37 Kg 5 cm 5 mm 5 μm Détermination

More information

SEM. Chemical Analysis in the. Elastic and Inelastic scattering. Chemical analysis in the SEM. Chemical analysis in the SEM

SEM. Chemical Analysis in the. Elastic and Inelastic scattering. Chemical analysis in the SEM. Chemical analysis in the SEM THE UNIVERSITY Chemical Analysis in the SEM Ian Jones Centre for Electron Microscopy OF BIRMINGHAM Elastic and Inelastic scattering Electron interacts with one of the orbital electrons Secondary electrons,

More information

Secondary Ion Mass Spectrometry (SIMS)

Secondary Ion Mass Spectrometry (SIMS) CHEM53200: Lecture 10 Secondary Ion Mass Spectrometry (SIMS) Major reference: Surface Analysis Edited by J. C. Vickerman (1997). 1 Primary particles may be: Secondary particles can be e s, neutral species

More information

Overview of X-Ray Fluorescence Analysis

Overview of X-Ray Fluorescence Analysis Overview of X-Ray Fluorescence Analysis AMPTEK, INC., Bedford, MA 01730 Ph: +1 781 275 2242 Fax: +1 781 275 3470 sales@amptek.com 1 What is X-Ray Fluorescence (XRF)? A physical process: Emission of characteristic

More information

Classification of Ordinary Chondrites Based on Mean and Standard Deviation of Fa and Fs contents of Mafic Silicates

Classification of Ordinary Chondrites Based on Mean and Standard Deviation of Fa and Fs contents of Mafic Silicates Sequel to White paper report for the Nomenclature Committee on the composition of olivine and pyroxene in equilibrated ordinary chondrites. Classification of Ordinary Chondrites Based on Mean and Standard

More information

The Origin of the Elements between Iron and the Actinides Probes for Red Giants and Supernovae

The Origin of the Elements between Iron and the Actinides Probes for Red Giants and Supernovae The Origin of the Elements between Iron and the Actinides Probes for Red Giants and Supernovae I Outline of scenarios for neutron capture nucleosynthesis (Red Giants, Supernovae) and implications for laboratory

More information

Secondary Ion Mass Spectrometry (SIMS) for Surface Analysis

Secondary Ion Mass Spectrometry (SIMS) for Surface Analysis Secondary Ion Mass Spectrometry (SIMS) for Surface Analysis General overview of SIMS - principles, ionization, advantages & limitations SIMS as a surface analysis technique - operation modes, information

More information

Figure 1: Two pressure shocks causing the sample temperature increase (Termocouple Tc1, figure 1b of reference [2]). 2 Heat production Apart from the

Figure 1: Two pressure shocks causing the sample temperature increase (Termocouple Tc1, figure 1b of reference [2]). 2 Heat production Apart from the Ni-H Systems E.G. Campari(1), S. Focardi (1), V. Gabbani (2), V. Montalbano (2), F. Piantelli (2), E. Porcu (3), E. Tosti (3) and S. Veronesi (2) ( 1 ) Dipartimento di Fisica, Universitá di Bologna, Bologna

More information

Composition of the Earth and its reservoirs: Geochemical observables

Composition of the Earth and its reservoirs: Geochemical observables Composition of the Earth and its reservoirs: Geochemical observables Cin-Ty A. Lee Rice University MYRES-I 2004 The Earth is dynamic and heterogeneous Atmosphere Midocean Ridge Plume Ocean Crust Oceanic

More information

Analyzing the Chemical Composition and Classification of Miller Range 07273

Analyzing the Chemical Composition and Classification of Miller Range 07273 Alyssa Dolan Analyzing the Chemical Composition and Classification of Miller Range 07273 When small grains and debris that were present in the early solar system combine, they form meteoroids. Meteoroids

More information

Supplementary Information

Supplementary Information Supplementary Information Supplementary Tables Major element compositions of host and daughter crystals: Table 1 reports composition for host-olivine. No daughter olivine has been found. The number for

More information

Stardust and Hayabusa Missions. Mike Zolensky NASA JSC

Stardust and Hayabusa Missions. Mike Zolensky NASA JSC Stardust and Hayabusa Missions Mike Zolensky NASA JSC 150 km from nucleus ΔV= 6.1 km/s January 2, 2004 Wild 2 (81P) A Jupiter family comet captured into present orbit in 1973 after a 0.006 AU Jupiter encounter

More information

Stable Isotope (H, N, O) Variations in the Solar System: a cosmochemistry overview. Bernard Marty CRPG-CNRS Nancy France

Stable Isotope (H, N, O) Variations in the Solar System: a cosmochemistry overview. Bernard Marty CRPG-CNRS Nancy France Stable Isotope (H, N, O) Variations in the Solar System: a cosmochemistry overview Bernard Marty CRPG-CNRS Nancy France 1- Objects and reservoirs 2- Isotope variations in the solar system 3- Possible causes

More information

X-Ray Photoelectron Spectroscopy (XPS)-2

X-Ray Photoelectron Spectroscopy (XPS)-2 X-Ray Photoelectron Spectroscopy (XPS)-2 Louis Scudiero http://www.wsu.edu/~scudiero; 5-2669 Fulmer 261A Electron Spectroscopy for Chemical Analysis (ESCA) The 3 step model: 1.Optical excitation 2.Transport

More information

Evidence for cavity-dwelling microbial life in 3.22 Ga tidal deposits

Evidence for cavity-dwelling microbial life in 3.22 Ga tidal deposits GSA Data Repository 2016012 Evidence for cavity-dwelling microbial life in 3.22 Ga tidal deposits Homann, M., Heubeck, C., Bontognali, R.R., Bouvier A.-S., Baumgartner L.P., and Airo, A. Geology, 2015

More information

Chemistry 524--Final Exam--Keiderling May 4, :30 -?? pm SES

Chemistry 524--Final Exam--Keiderling May 4, :30 -?? pm SES Chemistry 524--Final Exam--Keiderling May 4, 2011 3:30 -?? pm -- 4286 SES Please answer all questions in the answer book provided. Calculators, rulers, pens and pencils are permitted. No open books or

More information

Answers to questions on exam in laser-based combustion diagnostics on March 10, 2006

Answers to questions on exam in laser-based combustion diagnostics on March 10, 2006 Answers to questions on exam in laser-based combustion diagnostics on March 10, 2006 1. Examples of advantages and disadvantages with laser-based combustion diagnostic techniques: + Nonintrusive + High

More information

arxiv:nucl-ex/ v2 21 Jul 2005

arxiv:nucl-ex/ v2 21 Jul 2005 Gamma-spectrometric uranium age-dating using intrinsic efficiency calibration arxiv:nucl-ex/0506029v2 21 Jul 2005 Cong Tam Nguyen and József Zsigrai Institute of Isotopes of the Hungarian Academy of Sciences

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION doi:10.1038/nature10326 Supplementary Discussion All known modern terrestrial mantle reservoirs evolved from a primitive precursor with superchondritic 143 Nd/ 144 Nd. What is this reservoir? The terms

More information

produced a sputter rate of 0.9 nm/s for the radially profiled, un-etched wires. A slightly

produced a sputter rate of 0.9 nm/s for the radially profiled, un-etched wires. A slightly Supporting Information: Beam Current and Sputtering Rate: Using a 16 kev Cs + primary ion beam and a 1 µm 2 rastered area, a 10 pa beam current produced a sputter rate of 0.9 nm/s for the radially profiled,

More information

Chemical composition and heterogeneity of Wild 2 cometary particles determined by synchrotron X-ray fluorescence

Chemical composition and heterogeneity of Wild 2 cometary particles determined by synchrotron X-ray fluorescence Meteoritics & Planetary Science 43, Nr 1/2, 187 213 (2008) Abstract available online at http://meteoritics.org AUTHOR S PROOF Chemical composition and heterogeneity of Wild 2 cometary particles determined

More information

Nuclear Magnetic Resonance (NMR)

Nuclear Magnetic Resonance (NMR) Nuclear Magnetic Resonance (NMR) Nuclear Magnetic Resonance (NMR) The Nuclear Magnetic Resonance Spectroscopy (NMR) is one of the most important spectroscopic methods to explore the structure and dynamic

More information

Multi-Element Analysis of Petroleum Crude Oils using an Agilent 7900 ICP-MS

Multi-Element Analysis of Petroleum Crude Oils using an Agilent 7900 ICP-MS Multi-Element Analysis of Petroleum Crude Oils using an Agilent 7900 ICP-MS Application note Energy and fuels Authors Jenny Nelson, Agilent Technologies, USA Ed McCurdy, Agilent Technologies, UK Introduction

More information

EDS Mapping. Ian Harvey Fall Practical Electron Microscopy

EDS Mapping. Ian Harvey Fall Practical Electron Microscopy EDS Mapping Ian Harvey Fall 2008 1 From: Energy Dispersive X-ray Microanalysis, An Introduction Kevex Corp. 1988 Characteristic X-ray generation p.2 1 http://www.small-world.net/efs.htm X-ray generation

More information