Accelerator mass spectrometry

Hellborg, Ragnar; Skog, Göran

doi:10.1002/mas.20172

Cited by 102 publications

(75 citation statements)

References 140 publications

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“…The analysis of 14 C in atmospheric aerosols using accelerator mass spectrometry (Hellborg and Skog, 2008) allows the "age" of the organic carbon to be differentiated. 14 C is a radioactive isotope of carbon with a half life of 5730 years.…”

Section: C Analysis and Associated Ec/oc Tracer Methodsmentioning

confidence: 99%

The formation, properties and impact of secondary organic aerosol: current and emerging issues

et al. 2009

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Abstract. Secondary organic aerosol (SOA) accounts for a significant fraction of ambient tropospheric aerosol and a detailed knowledge of the formation, properties and transformation of SOA is therefore required to evaluate its impact on atmospheric processes, climate and human health. The chemical and physical processes associated with SOA formation are complex and varied, and, despite considerable progress in recent years, a quantitative and predictive understanding of SOA formation does not exist and therefore represents a major research challenge in atmospheric science. This review begins with an update on the current state of knowledge on the global SOA budget and is followed by an overview of the atmospheric degradation mechanisms for SOA precursors, gas-particle partitioning theory and the analytical techniques used to determine the chemical composition of SOA. A survey of recent laboratory, field and modeling studies is also presented. The following topical and emerging issues are highlighted and discussed in detail: molecular characterization of biogenic SOA constituents, condensed phase reactions and oligomerization, the interaction of atmospheric organic components with sulfuric acid, the chemical and photochemical processing of organics in the atmospheric aqueous phase, aerosol formation from real plant emissions, interaction of atmospheric organic components with water, thermodynamics and mixtures in atmospheric models. Finally, the major challenges ahead in laboratory, field and modeling studies of SOA are discussed and recommendations for future research directions are proposed.

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Section: C Analysis and Associated Ec/oc Tracer Methodsmentioning

confidence: 99%

The formation, properties and impact of secondary organic aerosol: current and emerging issues

et al. 2009

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“…The 14 C / 12 C ratio in the sampled particles was measured with accelerator mass spectrometry (AMS) (Hellborg and Skog, 2008) by using the 250 kV single-stage AMS at Lund University (Skog, 2007;Skog et al, 2010). Prior to the analysis, the carbon in the particle filter sample was transformed to graphite according to the procedure described in .…”

Section: C Analysismentioning

confidence: 99%

Carbonaceous aerosol source apportionment using the Aethalometer model – evaluation by radiocarbon and levoglucosan analysis at a rural background site in southern Sweden

et al. 2017

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Abstract. With the present demand on fast and inexpensive aerosol source apportionment methods, the Aethalometer model was evaluated for a full seasonal cycle (June 2014-June 2015 at a rural atmospheric measurement station in southern Sweden by using radiocarbon and levoglucosan measurements. By utilizing differences in absorption of UV and IR, the Aethalometer model apportions carbon mass into wood burning (WB) and fossil fuel combustion (FF) aerosol. In this study, a small modification in the model in conjunction with carbon measurements from thermal-optical analysis allowed apportioned non-light-absorbing biogenic aerosol to vary in time. The absorption differences between WB and FF can be quantified by the absorption Ångström exponent (AAE). In this study AAE WB was set to 1.81 and AAE FF to 1.0. Our observations show that the AAE was elevated during winter (1.36 ± 0.07) compared to summer (1.12 ± 0.07). Quantified WB aerosol showed good agreement with levoglucosan concentrations, both in terms of correlation (R 2 = 0.70) and in comparison to reference emission inventories. WB aerosol showed strong seasonal variation with high concentrations during winter (0.65 µg m −3 , 56 % of total carbon) and low concentrations during summer (0.07 µg m −3 , 6 % of total carbon). FF aerosol showed less seasonal dependence; however, black carbon (BC) FF showed clear diurnal patterns corresponding to traffic rush hour peaks. The presumed non-light-absorbing biogenic carbonaceous aerosol concentration was high during summer (1.04 µg m −3 , 72 % of total carbon) and low during winter (0.13 µg m −3 , 8 % of total carbon). Aethalometer model results were further compared to radiocarbon and levoglucosan source apportionment results. The comparison showed good agreement for apportioned mass of WB and biogenic carbonaceous aerosol, but discrepancies were found for FF aerosol mass. The Aethalometer model overestimated FF aerosol mass by a factor of 1.3 compared to radiocarbon and levoglucosan source apportionment. A performed sensitivity analysis suggests that this discrepancy can be explained by interference of non-light-absorbing biogenic carbon during winter. In summary, the Aethalometer model offers a costeffective yet robust high-time-resolution source apportionment at rural background stations compared to a radiocarbon and levoglucosan alternative.

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“…The 14 C/ 12 C ratio in collected particles was analyzed with accelerator mass spectrometry (AMS) (Hellborg and Skog, 2008) using the 250 kV single-stage AMS at Lund University (Skog, 2007;Skog et al, 2010). Prior to analysis, the carbon in the aerosol sample was transformed into graphite according to the procedure in Genberg et al (2010).…”

Section: And Levoglucosan Analysismentioning

confidence: 99%

Evaluation of δ13C in Carbonaceous Aerosol Source Apportionment at a Rural Measurement Site

Martinsson

Andersson

Sporre

et al. 2017

Aerosol Air Qual. Res.

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The stable isotope of carbon, 13 C, has been used in several studies for source characterization of carbonaceous aerosol since there are specific signatures for different sources. In rural areas, the influence of different sources is complex and the application of δ 13 C for source characterization of the total carbonaceous aerosol (TC) can therefore be difficult, especially the separation between biomass burning and biogenic sources. We measured δ 13 C from 25 filter samples collected during one year at a rural background site in southern Sweden. Throughout the year, the measured δ 13 C showed low variability (-26.73 to -25.64‰). We found that the measured δ 13 C did not correlate with other commonly used source apportionment tracers ( 14 C, levoglucosan). δ 13 C values showed lower variability during the cold months compared to the summer, and this narrowing of the δ 13 C values together with elevated levoglucosan concentrations may indicate contribution from sources with lower δ 13 C variation, such as biomass or fossil fuel combustion. Comparison of two Monte Carlo based source apportionment models showed no significant difference in results when δ 13 C was incorporated in the model. The insignificant change of redistributed fraction of carbon between the sources was mainly a consequence of relatively narrow range of δ 13 C values and was complicated by an unaccounted kinetic isotopic effect and overlapping δ 13 C end-member values for biomass burning and biogenic sources.

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Accelerator mass spectrometry

Cited by 102 publications

References 140 publications

The formation, properties and impact of secondary organic aerosol: current and emerging issues

The formation, properties and impact of secondary organic aerosol: current and emerging issues

Carbonaceous aerosol source apportionment using the Aethalometer model – evaluation by radiocarbon and levoglucosan analysis at a rural background site in southern Sweden

Evaluation of δ13C in Carbonaceous Aerosol Source Apportionment at a Rural Measurement Site

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