Development of a method for fast and automatic radiocarbon measurement of aerosol samples by online coupling of an elemental analyzer with a MICADAS AMS

Salazar, Gary A.; Zhang, Yanlin; Agrios, Konstantinos; Szidat, Sönke (2015). Development of a method for fast and automatic radiocarbon measurement of aerosol samples by online coupling of an elemental analyzer with a MICADAS AMS. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 361, pp. 163-167. Elsevier 10.1016/j.nimb.2015.03.051

[img] Text
1-s2.0-S0168583X15002700-main.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (1MB) | Request a copy
[img]
Preview
Text
Salazar et al 2015_Measurement of Aerosol Samples by Online Coupling of an Elemental Analyzer with a MICADAS AMS.pdf - Accepted Version
Available under License Creative Commons: Attribution-Noncommercial-No Derivative Works (CC-BY-NC-ND).

Download (641kB) | Preview

A fast and automatic method for radiocarbon analysis of aerosol samples is presented. This type of analysis requires high number of sample measurements of low carbon masses, but accepts precisions lower than for carbon dating analysis. The method is based on online Trapping CO2 and coupling an elemental analyzer with a MICADAS AMS by means of a gas interface. It gives similar results to a previously validated reference method for the same set of samples. This method is fast and automatic and typically provides uncertainties of 1.5–5% for representative aerosol samples. It proves to be robust and reliable and allows for overnight and unattended measurements. A constant and cross contamination correction is included, which indicates a constant contamination of 1.4 ± 0.2 μg C with 70 ± 7 pMC and a cross contamination of (0.2 ± 0.1)% from the previous sample. A Real-time online coupling version of the method was also investigated. It shows promising results for standard materials with slightly higher uncertainties than the Trapping online approach.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Chemistry, Biochemistry and Pharmaceutical Sciences (DCBP)
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)

UniBE Contributor:

Salazar Quintero, Gary Abdiel, Zhang, Yanlin, Agrios, Konstantinos, Szidat, Sönke

Subjects:

500 Science > 570 Life sciences; biology
500 Science > 540 Chemistry

ISSN:

0168-583X

Publisher:

Elsevier

Language:

English

Submitter:

Monika Wälti-Stampfli

Date Deposited:

02 Dec 2015 08:44

Last Modified:

05 Dec 2022 14:50

Publisher DOI:

10.1016/j.nimb.2015.03.051

BORIS DOI:

10.7892/boris.73284

URI:

https://boris.unibe.ch/id/eprint/73284

Actions (login required)

Edit item Edit item
Provide Feedback