Confocal XRF imaging for determination of arsenic distribution in a sample of historic plaster
This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainl...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Trojek, T. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Effect of anger, anxiety, and sadness on the propagation scale of social media posts after natural disasters - LI, Lifang ELSEVIER, 2020, RPC : the journal for radiation physics, radiation chemistry and radiation processing : a multidisciplinary journal linking science and industry, Oxford [u.a.] |
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| Übergeordnetes Werk: |
volume:200 ; year:2022 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.radphyschem.2022.110201 |
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| 520 | |a This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. | ||
| 520 | |a This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. | ||
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10.1016/j.radphyschem.2022.110201 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001942.pica (DE-627)ELV059098287 (ELSEVIER)S0969-806X(22)00243-2 DE-627 ger DE-627 rakwb eng 004 VZ 54.00 bkl 85.00 bkl Trojek, T. verfasserin aut Confocal XRF imaging for determination of arsenic distribution in a sample of historic plaster 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. Pigment Elsevier Confocal XRF Elsevier Arsenic Elsevier Plaster Elsevier Hložek, M. oth Enthalten in Pergamon Press LI, Lifang ELSEVIER Effect of anger, anxiety, and sadness on the propagation scale of social media posts after natural disasters 2020 RPC : the journal for radiation physics, radiation chemistry and radiation processing : a multidisciplinary journal linking science and industry Oxford [u.a.] (DE-627)ELV004848314 volume:200 year:2022 pages:0 https://doi.org/10.1016/j.radphyschem.2022.110201 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.00 Informatik: Allgemeines VZ 85.00 Betriebswirtschaft: Allgemeines VZ AR 200 2022 0 |
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10.1016/j.radphyschem.2022.110201 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001942.pica (DE-627)ELV059098287 (ELSEVIER)S0969-806X(22)00243-2 DE-627 ger DE-627 rakwb eng 004 VZ 54.00 bkl 85.00 bkl Trojek, T. verfasserin aut Confocal XRF imaging for determination of arsenic distribution in a sample of historic plaster 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. Pigment Elsevier Confocal XRF Elsevier Arsenic Elsevier Plaster Elsevier Hložek, M. oth Enthalten in Pergamon Press LI, Lifang ELSEVIER Effect of anger, anxiety, and sadness on the propagation scale of social media posts after natural disasters 2020 RPC : the journal for radiation physics, radiation chemistry and radiation processing : a multidisciplinary journal linking science and industry Oxford [u.a.] (DE-627)ELV004848314 volume:200 year:2022 pages:0 https://doi.org/10.1016/j.radphyschem.2022.110201 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.00 Informatik: Allgemeines VZ 85.00 Betriebswirtschaft: Allgemeines VZ AR 200 2022 0 |
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10.1016/j.radphyschem.2022.110201 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001942.pica (DE-627)ELV059098287 (ELSEVIER)S0969-806X(22)00243-2 DE-627 ger DE-627 rakwb eng 004 VZ 54.00 bkl 85.00 bkl Trojek, T. verfasserin aut Confocal XRF imaging for determination of arsenic distribution in a sample of historic plaster 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. Pigment Elsevier Confocal XRF Elsevier Arsenic Elsevier Plaster Elsevier Hložek, M. oth Enthalten in Pergamon Press LI, Lifang ELSEVIER Effect of anger, anxiety, and sadness on the propagation scale of social media posts after natural disasters 2020 RPC : the journal for radiation physics, radiation chemistry and radiation processing : a multidisciplinary journal linking science and industry Oxford [u.a.] (DE-627)ELV004848314 volume:200 year:2022 pages:0 https://doi.org/10.1016/j.radphyschem.2022.110201 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.00 Informatik: Allgemeines VZ 85.00 Betriebswirtschaft: Allgemeines VZ AR 200 2022 0 |
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10.1016/j.radphyschem.2022.110201 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001942.pica (DE-627)ELV059098287 (ELSEVIER)S0969-806X(22)00243-2 DE-627 ger DE-627 rakwb eng 004 VZ 54.00 bkl 85.00 bkl Trojek, T. verfasserin aut Confocal XRF imaging for determination of arsenic distribution in a sample of historic plaster 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. Pigment Elsevier Confocal XRF Elsevier Arsenic Elsevier Plaster Elsevier Hložek, M. oth Enthalten in Pergamon Press LI, Lifang ELSEVIER Effect of anger, anxiety, and sadness on the propagation scale of social media posts after natural disasters 2020 RPC : the journal for radiation physics, radiation chemistry and radiation processing : a multidisciplinary journal linking science and industry Oxford [u.a.] (DE-627)ELV004848314 volume:200 year:2022 pages:0 https://doi.org/10.1016/j.radphyschem.2022.110201 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.00 Informatik: Allgemeines VZ 85.00 Betriebswirtschaft: Allgemeines VZ AR 200 2022 0 |
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10.1016/j.radphyschem.2022.110201 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001942.pica (DE-627)ELV059098287 (ELSEVIER)S0969-806X(22)00243-2 DE-627 ger DE-627 rakwb eng 004 VZ 54.00 bkl 85.00 bkl Trojek, T. verfasserin aut Confocal XRF imaging for determination of arsenic distribution in a sample of historic plaster 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. Pigment Elsevier Confocal XRF Elsevier Arsenic Elsevier Plaster Elsevier Hložek, M. oth Enthalten in Pergamon Press LI, Lifang ELSEVIER Effect of anger, anxiety, and sadness on the propagation scale of social media posts after natural disasters 2020 RPC : the journal for radiation physics, radiation chemistry and radiation processing : a multidisciplinary journal linking science and industry Oxford [u.a.] (DE-627)ELV004848314 volume:200 year:2022 pages:0 https://doi.org/10.1016/j.radphyschem.2022.110201 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.00 Informatik: Allgemeines VZ 85.00 Betriebswirtschaft: Allgemeines VZ AR 200 2022 0 |
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Confocal XRF imaging for determination of arsenic distribution in a sample of historic plaster |
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This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. |
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This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. |
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This paper describes the use of X-ray fluorescence (XRF) scanning, XRF microanalysis, and confocal XRF for identification of toxic elements, especially arsenic, in a sample taken from a historic wall of the rectory building in Potštát (Přerov district, Czech Republic). We focused our attention mainly on the confocal XRF imaging, which can visualize non-destructively a cross-section of a selected part of the sample. Since the images of X-ray intensities are disturbed by the X-ray absorption in a sample, a method reducing this effect was proposed and applied for the determination of the arsenic depth distribution. This method comprises an experimental determination of attenuation coefficients for the excitation beam and the arsenic characteristic X-rays as well. These coefficients are derived from the exponential decrease of scattered radiation intensities in energy regions corresponding to the excitation X-ray energies and energies of scattered X-rays close to the arsenic Kα line, respectively. This correction improved the image showing the depth distribution of arsenic in the sample. |
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