High-resolution mass spectrometric characterization of dissolved organic matter from warm and cold periods in the NEEM ice core
2018-04-08JianZhongXuAmandaGrannasCunDeXiaoZhiHengDuAmandaWilloughbyPatrickHatcherYanQingAn
JianZhong Xu , Amanda Grannas , CunDe Xiao , ZhiHeng Du , Amanda Willoughby ,Patrick Hatcher , YanQing An
1. State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
2. Department of Chemistry, Villanova University, Villanova, PA 19085, USA
3. Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, VA 23529, USA
1 Introduction
Electrospray ionization (ESI) combined with ultra-high resolution Fourier transform ion cyclotron resonance mass spectrometry (ESI-FT-ICR-MS) has recently and effectively been used to characterize the complex molecular composition of DOM because it allows exact molecular weights and formulae of thousands of individual organic molecules to be assigned.Grannaset al. (2006) first used ESI-FT-ICR-MS to analyze DOM in two ice-core samples that had been deposited in approximately 1300 A.D. and 1950 A.D.in Franz Josef Land, Russia. They found that molecules containing sulfur were more abundant in the modern ice than in the older ice and attributed this increase in S incorporation to atmospheric processes occurring in a more SOx-rich environment. Marshet al.(2013) used a nano-ESI-FT-ICR-MS method to analyze small volumes (approximately 90 mL) of meltwater from two ice-core samples, deposited in 1360 A.D.and 1660 A.D., from Greenland. They used two different solid-phase extraction resins (C18 and PPL) to extract and concentrate the DOM and contrasted the molecular composition of the DOM in these two extracts. The results show that PPL had higher extraction efficiency for organic matter (such as CHO components). The DOM in surface snow and ice samples from several sites has been characterized by ESI-FTICR-MS in different studies; and improvements to analytical methods and molecular information about DOM were obtained, such as the importance of DOM sources from terrestrial and microbial input (Bhatiaet al., 2010; Singeret al., 2012; Stubbinset al., 2012;Antonyet al., 2014; Lawsonet al., 2014).
Ice cores collected from the Greenland ice sheet can contain ice from more than 105 ka ago, which includes ice deposited over a number of glacial-interglacial cycles. DOM in ice cores deposited under different climatic conditions may reflect differences in the provenance of the organic matter (OM) and differences in the chemical, abiotic, and biotic processes that affected the OM under the various conditions, as illustrated from inorganic components (Wolffet al.,2010). Warm and wet interglacial climates, such as during the Holocene, favoured increased plant cover and precipitation; and marine ecosystems would also have been active, meaning that a great deal of phytoplankton metabolism would have occurred. During glacial periods, especially the Last Glacial Maximum(LGM), due to lowering the sea level and exposing continental shelves, ecosystems may have switched to dramatically different states (Farreraet al., 1999;Otto-Bliesneret al., 2006). It is therefore possible that the proportions of aquatic and terrestrial OM in the environment varied as the climate changed. In addition, biological DOM can differ between marine and terrestrial sources; the photochemical processes occurring during the transport of DOM and after deposition may also differ under different climatic conditions. Because of these differences, the molecular composition of DOM samples from ice cores may allow compounds affected by changes in the climate to be "fingerprinted," providing some insight into the factors that controlled the types and reactivity of the DOM compounds.
In this study, we used ESI-FT-ICR-MS to examine the DOM preserved in two Greenland ice-core samples, comparing glacial and interglacial time periods. Although this work was limited to only two samples, our aim was to give a preliminary assessment of DOM composition in glacial/interglacial ice,which to date has not been assessed in the literature.
2 Methods
2.1 Sample collection and pre-analysis processing
The ice core in this study was collected as part of the North Greenland Eemian Ice Drilling (NEEM)project, and details of the core can be found at http://neem.dk. Briefly, the NEEM ice core, which was 2,540-m long, was taken from the Northwest Greenland ice sheet at 77.45°N, 51.06°W. The core was drilled between 2008 and 2012; and the objective was to retrieve ice from the previous interglacial, the Eemian, which ended about 115,000 years ago. The ice core was cut in the field, and one-quarter of a 20-cm-long subsection of each 10-m section of the ice core was sent to China (one of the members of the NEEM project) for trace-metal analysis using inductively coupled plasma mass spectrometry (ICP-MS).Two melted samples from the core were produced during the ICP-MS measurements by combining parts of several samples into 250-mL Duran glass containers (Schott, Mainz, Germany). The glassware was acid-washed following the procedure used throughout the ICP-MS analysis. The sample details, including the date and depth of each sample, are presented in Table 1. The samples were aged, from the age-depth relationship, to 1692-4379 B.P. before present (Holocene sample: HS) and 21627-24804 B.P. (LGM sample: LS), respectively. The samples were transported to the laboratory, where they were prepared and analyzed in a cooling box at <0 °C.
Table 1 Concentrations and quality indicators (average for the entire sample) for the DOM isolated from samples from the NEEM ice core, Greenland, and characterized by negative ESI-FT-ICR-MS
2.2 DOM isolation and analysis
DOM samples were desalted and concentrated using an established procedure for PPL solid-phase extraction cartridges (Dittmaret al., 2008), and the desalted samples were eluted into LC-MS-grade methanol. Each sample was directly infused into an Apollo II ESI ion source operated in the negative ion mode at a flow rate of 2 μL/min on a Bruker Daltonics 12 Tesla Apex Qe FT-ICR-MS (Bruker, Billerica, MA,USA), housed at the College of Sciences Major Instrumentation Cluster at the Old Dominion University. Spray voltages were optimized for each sample. Ions were accumulated in the hexapole for 3.0 seconds before transfer into the ICR cell, where exactly 300 transients were co-added.
2.3 Data processing
Each mass spectrum was externally calibrated using a polyethylene glycol (PEG) standard. Internal calibration of the acquired mass spectra was achieved using numerous CH2homologous series identified by Kendrick mass defect (KMD) analysis that spanned the m/z range of 200-700. Peaks present in the blank,or those identified as a13C analog or a salt peak (due to a high mass defect) were removed from the peak list prior to molecular-formula assignment. Mass lists(of peaks with a signal-to-noise [S/N] ratio exceeding 4) were processed via a molecular-formula calculator to determine all possible molecular formulae(12C5-801H5-10016O1-3014N0-532S0-531P0-2) for each m/z value, within a maximum error of 1.0 ppm.The formula rules applied by Stubbinset al. (2010)were followed to ensure that chemically possible molecular formulae were assigned to the peaks in each mass spectrum. At higher m/z values, unambiguous formula assignment was not possible in some cases due to several possible molecular formulae existing for the same m/z value. To assist in duplicate removal, the "formula extension" approach (as described in Kujawinski and Behn, 2006) was utilized with homologous series of CH2, CHO, and CH2O groups to determine the appropriate formula. Although it is possible, and even likely, that multiple formulae exist for the same m/z, the formula-extension approach offers support for the presence of certain formulae over formulae not part of a Kendrick mass defects (KMD)series. Peaks that could not be assigned an unambiguous formula were removed from further consideration.Approximately 70% of the peaks were assigned molecular formulae using these constraints.
The assigned molecular formulae were examined using the van Krevelen diagram, double-bond equivalents (DBEs), KMDs, and aromatic indices (AImod).The O/C and H/C ratios were calculated by dividing the number of O and H atoms, respectively, by the number of C atoms in a formula. DBE analysis was used to determine the number of rings and double bonds in a molecule. The DBE was calculated using Equation(1),
省是指自我反省、自我警醒、自我省察等。《论语》指出:“曾子曰:‘吾日三省吾身:为人谋而不忠乎?与朋友交而不信乎?传不习乎?’”是指,曾子说:“我每天都要对三件事作一番自我反省:替别人办事,有不尽心尽力的地方吗?和朋友交往,有不守信用的地方吗?老师传授的学业,有不温习的地方吗?”“子曰:‘见贤思齐焉,见不贤而内自省也。’”是指,孔子说:“看见贤德的人,就要想着向他看齐;看见不贤的人,就要在内心做自我反省。”
wherec,h,n, andpare the numbers of C, H, N, and P atoms, respectively, in the formula.
The KMD representation of high-resolution mass spectral data can be used to search for potential oligomeric units (Hugheyet al., 2001). The Kendrick mass(KM) and KMD for CH2series were calculated using Equations(2)and(3),
where 14 is the nominal mass (NM) of CH2, 14.01565 is the exact mass of CH2, and NM is KM rounded to the nearest integer. A homologous series of compounds differing by only the number of base units form a horizontal line in a plot of KMD against KM.
AImodis a measure of the probable aromaticity of a molecule, assuming that half the O atoms are double-bonded and half have only σ bonds (Koch and Dittmar, 2006). AImodwas calculated using Equation(4),
wherec,o,s,h, andpare the number of C, O, S, H,N, and P atoms in the formula. AImodranges from 0 for a purely aliphatic compound to 1, with higher values being found for compounds with more double bonds and that are more aromatic.
The formulae were plotted on the van Krevelen diagram; then, each was categorized using the stoichiometry of its molecular formula. The groups relevant to this study were identified using AImodand H/C cutoffs, which were AImod≥0.67 for combustion-derived condensed aromatics, 0.67> AImod≥0.5 for highly unsaturated aromatic compounds, AImod<0.5 and H/C ≤1.5 for lignin-like compounds and carboxylic-rich alicyclic molecule (Lignin/CRAM)compounds, and 2.0> H/C >1.5 for aliphatic compounds (Koch and Dittmar, 2006; Hockadayet al.,2009).
3 Results and discussion
Molecular formulae with the form CcHhOoNnSsPpwere assigned to the negative-ion ultrahigh-resolution FT-ICR mass spectra of the DOM components extracted from the ice-core meltwater samples. Overall, 80% of the total ion current mass spectra of the samples was assigned. The number of peaks assigned molecular formulae was 919 and 149, for HS and LS,respectively, excluding contributions from compounds containing13C isotopes and peaks with high mass defects, indicative of salts.
3.1 General FT-ICR-MS characteristics
Reconstructed mass spectra for the monoisotopic molecular formulae assigned to the samples after blank subtraction are shown in Figure 1. Seven subgroups of the molecular formulae were identified,based on the elements in the formulae. These subgroups were compounds containing only C, H, and O(CHO); compounds containing C, H, O, and N(CHON); compounds containing C, H, O, and S(CHOS); compounds containing C, H, O, and P(CHOP); compounds containing C, H, O, P, and N(CHOPN); compounds containing C, H, O, S, and P(CHOSP); and compounds containing C, H, O, N, and S (CHONS). The most abundant composition in both samples was CHO (contributing 50% of all formulae);and the contributions of the other subgroups decreased in the order of CHOS (13%-19%), CHOP(13%-22%), CHONS (6%-9%), CHON (3%-8%),CHOPN (0%-3%), and CHOSP (0%-3%). The compositions according to these subgroups were very similar to compositions found in snow samples from Mendenhall Glacier, southeastern Alaska (Stubbinset al., 2012), but different from compositions found in aerosol and fog water, in which CHON formulae have sometimes been found to be dominant (Zhaoet al.,2013; Wozniaket al., 2014).
Figure 1 Negative ESI mass spectra for the DOM in the two NEEM ice-core samples (HS and LS). The pie charts show the contributions of the different compound classes to the totals in the different samples
Although CHO-containing formulae comprised the majority of the identified OM, a significant portion of the OM contained heteroatoms of varying combinations of S, N, and P. Wozniaket al. (2014)found that water-soluble OM in aerosol particulates collected over a marine environment had primary marine biological sources and was also rich in compounds containing N and P. Lawsonet al. (2014) employed FT-ICR-MS analysis on Greenland Ice Sheet runoff samples and found a high proportion of N-rich DOM. The requirements for N and P are higher for marine phytoplankton and bacteria than for terrestrial vegetation; and dissolved organic N and P have long been known to be enriched in the sea-surface micro-layer,where surface-active OM accumulates after being entrained by bubbles and brought to the surface(Miyazakiet al., 2011; Buchanet al., 2014). The abundance of compounds containing N and P in these Greenland ice-core samples likely indicates that the DOM primarily had a marine biological source.
3.2 Atomic ratios and aromaticity in the DOM components
Biological and geochemical classes of organic compounds in DOM can be identified from their distinct elemental ratios using van Krevelen analysis(Grannaset al., 2006; Stubbinset al., 2012). The contributions of different molecular-formula classes to the aliphatic, Lignin/CRAM, aromatic, and condensed aromatic compounds are shown in Figures 2a and 2b. Overall, HS and LS had similar molecular signatures, as determined from the distributions of formulae in the van Krevelen space (Figure 2b), which indicates that the dominant sources of DOM for these two samples were likely similar.
The main molecular structures in the samples were aliphatic (68%-74%), the next most common was Lignin/CRAM (12%-19%), and there was a small number of aromatic and condensed aromatic compounds (2%-3%). These contributions were similar to those previously found in snowpack and glacier outflow samples from southeast Alaska (Stubbinset al., 2012). A large contribution of aliphatic compounds has also been found in samples collected far from the coast in Antarctica (Antonyet al., 2014),wherein situmicrobial sources have little influence.
Figure 2 (a) Van Krevelen plots for Holocene sample (HS) and LGM sample (LS) and (b) a bar chart showing the contributions of each structural class (determined using AImod and H/C ratio) to the total DOM
The average O/C ratios for both samples were relatively low, 0.29 for HS and 0.27 for LS, respectively,indicating less oxidized aerosols were dominant contributors to DOM. The average O/C ratio observed from aged aerosol in remote areas can be up to 1.0,using aerosol mass spectrometry (Xuet al., 2015);and less than 0.3 for less oxidized aerosol or rainwater samples (Altieriet al., 2009; Wozniaket al.,2014). The O/C ratios in the DOM of snowpack and glacier outflow in the Mendenhall Glacier in southeast Alaska are also close to 0.3 (Stubbinset al.,2012), less than 0.5 in most of the formulae in the Holocene DOM of one Greenland ice core (Marshet al., 2013) and less than 0.4 for the ice core DOM in Franz Josef Land (Grannaset al., 2006).
Compounds containing N and P were mostly aliphatic, with high H/C ratios (>1.7) and low O/C ratios (<0.4), suggesting the feature of less being oxidized. Wozniaket al. (2014) found that the primary sources of aliphatic CHON compounds in marine aerosol DOM were marine and biological. Most of the CHO compounds were also aliphatic, with higher O/C ratios and lower H/C ratios than the compounds containing N and P. The higher O/C ratios of CHO compounds suggest that a portion of the aerosols were oxidized during transport before deposition (Wozniaketal., 2014). HS was richer in aliphatic S compounds than LS, which may have had primary and/or secondary aerosol sources. Aliphatic compounds rich in S are prevalent in the water-soluble organic carbon fractions of aerosols and probably come from the aqueous oxidation of biogenic volatile organic compounds during the generation of secondary organic aerosols,i.e., organosulfates (Surrattet al., 2007). Organic compounds containing S, such as dimethyl sulfide and dimethylsulfoniopropionate, can also be emitted from marine environments (Andreaeet al., 2003) and influence S-containing DOM. The primary and/or secondary S aerosols can be further distinguished by DBE distribution (Section 3.4). The relatively low abundance of aliphatic S in LS probably means that fresh and aged S aerosol sources were relatively weak during the LGM.
HS contained a larger number of condensed aromatic formulae than LS. The aromatic compounds mostly contained N and S. Condensed aromatics can be formed only through the heating of OM or through intense photochemical activity (Yeeet al., 2013; Chenet al., 2014), so their presence indicates that HS may contain combusted OM or that the DOM had undergone significant photochemical reactions during transport. The results therefore suggest that terrestrial sources (such as forest fires) of DOM were important in HS.
3.3 KMD analysis of DOM components
The homologous groups and homologs within each individual group can be identified using a KMD plot (Mopperet al., 2007). The KMD plots for these two samples are shown in Figures 3a and 3b; and plots for the different compound classes in HS and LS are shown in Figures 3c, 3d, 3e, and 3f. Points forming horizonta, l line corresponds to families of species with formulae CxHyOz(CH2)n, with fixed O-atom contents (x,y, andzare fixed; andnis a variable) and different numbers of CH2groups. A large number of CH2homologous series were found in the CHO,CHOS, CHNO, CHOP, and CHOPN compound classes in HS. The KMD values of these relatively abundant compounds tended to increase as the molecular mass increased, suggesting that increases in the molecular masses were probably caused by increasing numbers of heteroatoms (especially O and S)in the compounds. Overall, no significant families are oberserved in LS due to the smaller number of identified formulae. The most related formulae in the series in CHON compound of HS was the N3O7family, and the next longest were the NO3and N2O8families(Figure 3). On average, more than 98% of the CHON compounds in the sample had O/N ratios >3. The high O/N ratio is consistent with formation of organic nitrate, likely due to the known chemistry of nitrate radicals identified in ambient aerosols (Nget al., 2008).
Figure 3 Kendrick mass plots of the unique neutral molecular formulae, normalized to CH2 for HS and LS for (a) total HS formulae, (b) total LS formulae, (c) CHO formulae, (d) CHON formulae, (e) CHOP formulae, and (f) CHOS formulae
3.4 DBE distributions of the DOM components
The DBEs of DOM molecules also allow assessment of the intensity of different DOM sources and the atmospheric conditions to which the aerosol was exposed (Batemanet al., 2011). The CHO compound DBEs with respect to C of these two samples are shown in Figures 4a and 4b. Most (>90%) of the CHO compounds in both samples had DBEs of <10,and the compounds with high relative abundances had DBEs of 2~7. The most abundant DBEs were 6 in HS and 4 in LS; and the average DBEs were 5.7 and 5.9,respectively. The compounds with the highest relative abundance in both samples had 10~40 C atoms.Compounds with >40 C atoms were also found in HS.The DBEs of CHO compound in HS and LS were similar to those in modern aerosols and fog water(5-7) (Mazzoleniet al., 2010; Zhaoet al., 2013); but the average CHO compound O/C ratios (0.31 and 0.29 for HS and LS, respectively) were lower than in aerosols and fog water (0.4-0.7), suggesting that the CHO compounds in the ice-core samples were less oxidized.
Higher average DBEs were found for the CHOS compounds in both samples (10 and 14 for HS and LS, respectively), suggesting unsaturated CHOS compounds in these two samples. Two subgroups of CHOS molecular formulae in HS were highlighted,based on H/C value (Figure 4c). The CHOS compounds in subgroup 1 with H/C ≥1.5 are relatively saturated, with DBE values of 0-7. The subgroup 2 CHOS compounds were very unsaturated, with DBEs of 10-20. The O/C ratio was clearly higher in subgroup 1 (0.30) than in subgroup 2 (0.15). The high O content and low DBEs of the CHOS compounds in subgroup 1 suggest these compounds could be organosulfates. However, a large number of S-containing compounds containing reduced forms of S, indicated by the low O content in the molecular formulae,have rarely been reported (Vairavamurthy and Mopper, 1989; Willoughbyet al., 2014). These compounds may have come from fresh emissions rather than being aged products. The average DBEs for CHOP and CHON compounds in HS and LS are all less than 10, similar to DBEs for the CHO compounds.
Figure 4 Isoabundance plot of the double bond equivalents (DBEs) against the number of C atoms in the molecular formulae containing C, H, and O for (a) HS and (b) LS and for the molecular formulae containing C, H, O, and S for (c) HS and(d) LS. The two subgroups shown for HS in (c) were separated using their H/C ratios(H/C <1.5 for subgroup 1 and H/C ≥1.5 for subgroup 2)
3.5 Limitations and applications
We performed the first detailed analysis of DOM in LGM and Holocene ice-core samples from Greenland using FT-ICR-MS. The molecular characteristics identified in these samples suggest the present of compounds derived from primarily terrestrial and marine sources and that some secondary processing occurred in the atmosphere. The compounds containing N and P are consistent with marine primary sources. Condensed C compounds in the DOM suggested contributions from terrestrial combustion sources. The presence of organosulfates and organonitrates suggests secondary reactions in the atmosphere influenced this DOM. The concentration and photochemical processes of DOM were higher and stronger during the warm period (HS) than during the cold period (LS); but the chemical compositions are very similar, suggesting the common DOM sources.
One weakness of this study is that only two samples are used, which means the results could not be representitive; however, the availability of such samples is severly limited. A large sample size is desirable and possible in the future study from multiple ice cores at different sites. In addition, the extraction of DOM using PPL resin can impart loss of exceptionally hydrophillic compounds and small molecules.However, the losses are expected to have minimal negative impact because compounds with m/z less than 200 are not efficiently detected by FT-ICR-MS.PPL is expected to retain 60%-75% of OM (Dittmaret al., 2008; Stubbinset al., 2012). Finally, FT-ICR-MS is providing a picture of only polar compounds ionizable by negative ESI between 200-1,000 m/z. Despite bias, the amount of molecular information provided is still very useful. A combination of a suite of instruments (such as nuclear magnetic resonance spectroscopy, NMR) in future studies is needed to give an even broader characterization of the OM.
Our results could also help inform future ice-core studies in Northwest Greenland. The chemical characteristics of the DOM showed variations in the importance of marine and terrestrial sources—for example,significant terrestrial sources for HS; and that the high-resolution analysis of ice-core samples is required to allow marine and terrestrial impacts on the aerosols transported to Greenland to be further distinguished. The contributions of compounds formed through atmospheric reactions suggest that atmospheric conditions have strong impacts on the chemical compositions of aerosols, and this may be of interest when interpreting the results of DOM in modern ice cores that contain anthropogenic aerosols.Modern aerosols in Greenland are affected by the sources described above and also by anthropogenic organic compounds that have been transported in the atmosphere over long distances before being deposited. Our results should motivate an expansion of studies of atmospheric DOM to modern times and the determination of the potential for secondary anthropogenic compounds being deposited in remote regions.
This research was supported by grants from the Hundred Talents Program of the Chinese Academy of Sciences, the Science Fund for Creative Research Groups of the National Natural Science Foundation of China (NSFC) (41425003, 41121001), the Ministry of Science and Technology of China (MoST,2013CBA01804), and the Scientific Research Foundation of the Key Laboratory of Cryospheric Sciences (SKLCS-ZZ-2017-01).
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