<abstract xmlns="http://www.w3.org/1999/xhtml">

This research paper introduces a methodology for estimating overcounting resulting from uranium series radionuclides, with a specific focus on 222Rn contamination. The method is demonstrated using the Quantulus 1220TM spectrometer. Exponential fitting is employed for the calculations, utilizing a custom algorithm developed in MATLAB® R2022b. The proposed method allows for the determination of the sample count rate correction, F14C and radiocarbon age without the need for additional chemical treatment or specialized electronics during liquid scintillation counting (LSC) measurements with the Quantulus 1220TM spectrometer. However, the method does have certain limitations. It requires a significant number of cycles and extended measurement time per cycle, but it can be applied to samples with significant 222Rn contamination that require rapid 14C analysis.
</abstract>

This research paper introduces a methodology for estimating overcounting resulting from uranium series radionuclides, with a specific focus on 222Rn contamination. The method is demonstrated using the Quantulus 1220TM spectrometer. Exponential fitting is employed for the calculations, utilizing a custom algorithm developed in MATLAB® R2022b. The proposed method allows for the determination of the sample count rate correction, F14C and radiocarbon age without the need for additional chemical treatment or specialized electronics during liquid scintillation counting (LSC) measurements with the Quantulus 1220TM spectrometer. However, the method does have certain limitations. It requires a significant number of cycles and extended measurement time per cycle, but it can be applied to samples with significant 222Rn contamination that require rapid 14C analysis.

Accounting for Overcounting Induced by 222Rn Contamination in 14C Measurements Performed with Liquid Scintillation Counting

Institute of Physics – Centre for Science and Education, Division of Geochronology and Environmental Isotopes

Geochronometria

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Accounting for Overcounting Induced by Rn Contamination in C Measurements Performed with Liquid Scintillation Counting

This research paper introduces a methodology for estimating overcounting resulting from uranium series radionuclides, with a specific focus on 222Rn...

Accounting for Overcounting Induced by ²²²Rn Contamination in ¹⁴C Measurements Performed with Liquid Scintillation Counting

Data publikacji: 15 gru 2023

Zakres stron: 91 - 99

Otrzymano: 25 cze 2023

Przyjęty: 03 lis 2023

DOI: https://doi.org/10.2478/geochr-2023-0007

Słowa kluczowe
overcounting estimation, uranium series radionuclides, Rn contamination, Quantulus 1220 spectrometer, exponential fitting, liquid scintillation counting

© 2023 Maksymilian Jędrzejowski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Accounting for Overcounting Induced by 222Rn Contamination in 14C Measurements Performed with Liquid Scintillation Counting

Data publikacji: 15 gru 2023

Zakres stron: 91 - 99

Otrzymano: 25 cze 2023

Przyjęty: 03 lis 2023

DOI: https://doi.org/10.2478/geochr-2023-0007

Słowa kluczoweovercounting estimation, uranium series radionuclides, Rn contamination, Quantulus 1220 spectrometer, exponential fitting, liquid scintillation counting

© 2023 Maksymilian Jędrzejowski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Accounting for Overcounting Induced by ²²²Rn Contamination in ¹⁴C Measurements Performed with Liquid Scintillation Counting

Słowa kluczowe
overcounting estimation, uranium series radionuclides, Rn contamination, Quantulus 1220 spectrometer, exponential fitting, liquid scintillation counting