Energy-Selective X-Ray Detection Using Chemically Tunable High-Z Nanocomposites.

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Title: Energy-Selective X-Ray Detection Using Chemically Tunable High-Z Nanocomposites.
Authors: Pudza, Inga1 (AUTHOR) kaspars.pudzs@cfi.lu.lv, Pudzs, Kaspars1,2 (AUTHOR), Tokmakovs, Andrejs1 (AUTHOR), Kalinko, Aleksandr1,2 (AUTHOR), Kuzmin, Alexei1 (AUTHOR) a.kuzmin@cfi.lu.lv
Source: Materials (1996-1944). Sep2025, Vol. 18 Issue 17, p4118. 14p.
Subjects: X-ray detection, Spectroscopic imaging, Nanoparticles, Nuclear counters, Sensitivity analysis, Nanocomposite materials
Abstract: Hybrid organic–inorganic materials incorporating high-Z nanocompounds represent an emerging area of research with high, cost-effective potential for radiation detection applications, owing to their ability to enable unprecedented architectures and functional devices. Herein, we introduce a new hybrid system composed of tungstate nanoparticles (SrWO4 or CdWO4) blended with P3HT:PCBM, engineered for direct X-ray detection without the need for external bias. The nanocrystalline tungstates were synthesized through a hydrothermal route. X-ray diffraction and scanning electron microscopy were employed to characterize the nanoparticle structure and morphology, respectively. Incorporation of high-Z tungstate nanoparticles was found to substantially enhance detector sensitivity within specific energy ranges, with performance tunable by varying the tungstate composition. The use of the fabricated detectors was demonstrated for both spectroscopic and imaging applications. [ABSTRACT FROM AUTHOR]
Copyright of Materials (1996-1944) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Energy-Selective X-Ray Detection Using Chemically Tunable High-Z Nanocomposites.
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  Data: <searchLink fieldCode="AR" term="%22Pudza%2C+Inga%22">Pudza, Inga</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kaspars.pudzs@cfi.lu.lv</i><br /><searchLink fieldCode="AR" term="%22Pudzs%2C+Kaspars%22">Pudzs, Kaspars</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tokmakovs%2C+Andrejs%22">Tokmakovs, Andrejs</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kalinko%2C+Aleksandr%22">Kalinko, Aleksandr</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kuzmin%2C+Alexei%22">Kuzmin, Alexei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> a.kuzmin@cfi.lu.lv</i>
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  Data: <searchLink fieldCode="JN" term="%22Materials+%281996-1944%29%22">Materials (1996-1944)</searchLink>. Sep2025, Vol. 18 Issue 17, p4118. 14p.
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  Data: <searchLink fieldCode="DE" term="%22X-ray+detection%22">X-ray detection</searchLink><br /><searchLink fieldCode="DE" term="%22Spectroscopic+imaging%22">Spectroscopic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Nanoparticles%22">Nanoparticles</searchLink><br /><searchLink fieldCode="DE" term="%22Nuclear+counters%22">Nuclear counters</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Nanocomposite+materials%22">Nanocomposite materials</searchLink>
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  Label: Abstract
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  Data: Hybrid organic–inorganic materials incorporating high-Z nanocompounds represent an emerging area of research with high, cost-effective potential for radiation detection applications, owing to their ability to enable unprecedented architectures and functional devices. Herein, we introduce a new hybrid system composed of tungstate nanoparticles (SrWO4 or CdWO4) blended with P3HT:PCBM, engineered for direct X-ray detection without the need for external bias. The nanocrystalline tungstates were synthesized through a hydrothermal route. X-ray diffraction and scanning electron microscopy were employed to characterize the nanoparticle structure and morphology, respectively. Incorporation of high-Z tungstate nanoparticles was found to substantially enhance detector sensitivity within specific energy ranges, with performance tunable by varying the tungstate composition. The use of the fabricated detectors was demonstrated for both spectroscopic and imaging applications. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Materials (1996-1944) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/ma18174118
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 4118
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      – SubjectFull: X-ray detection
        Type: general
      – SubjectFull: Spectroscopic imaging
        Type: general
      – SubjectFull: Nanoparticles
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      – SubjectFull: Nuclear counters
        Type: general
      – SubjectFull: Sensitivity analysis
        Type: general
      – SubjectFull: Nanocomposite materials
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    Titles:
      – TitleFull: Energy-Selective X-Ray Detection Using Chemically Tunable High-Z Nanocomposites.
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            NameFull: Pudzs, Kaspars
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            NameFull: Tokmakovs, Andrejs
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            NameFull: Kalinko, Aleksandr
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            NameFull: Kuzmin, Alexei
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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              Value: 18
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