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Fluorometers and spectrofluorometers are two types of instruments used for measuring molecular fluorescence. These instruments differ in how they select excitation and emission wavelengths and the type of light sources they utilize. Fluorometers use absorption interference filters to choose excitation and emission wavelengths. The excitation source in a fluorometer is typically a low-pressure mercury vapor lamp that emits intense lines distributed throughout the ultraviolet and visible regions.
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The addition or removal of phosphate groups from proteins is the most common chemical modification that regulates cellular processes. These modifications can affect the structure, activity, stability, and localization of proteins within cells as well as their interactions with other proteins.
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Phosphor informatics based on confirmatory factor analysis.

Woon Bae Park1, Satendra Pal Singh1, Minseuk Kim1

  • 1Faculty of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul 143-747, Korea.

ACS Combinatorial Science
|April 9, 2015
PubMed
Summary
This summary is machine-generated.

Data mining of experimental phosphor luminescence data, using confirmatory factor analysis (CFA), offers new insights into structural and luminescent properties of LED phosphors.

Keywords:
combinatorial materials searchconfirmatory factor analysisdata mininglight emitting diodematerials genomematerials informaticsphosphorprincipal component analysissolid-state lightingstructural equation modeling

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Area of Science:

  • Materials Science
  • Solid-State Chemistry
  • Luminescence

Background:

  • The theoretical understanding of phosphor luminescence remains incomplete.
  • Data mining of experimental data is crucial for a comprehensive understanding, complementing theoretical approaches.

Purpose of the Study:

  • To enhance the understanding of structure-property relationships in Eu(2+)-doped phosphors for LED applications.
  • To apply data mining techniques, specifically Confirmatory Factor Analysis (CFA), to phosphor materials.

Main Methods:

  • Collected crystallographic and luminescence data for 75 Eu(2+)-doped phosphors with single Wyckoff sites.
  • Extracted 32 descriptors from the collected data.
  • Employed Confirmatory Factor Analysis (CFA) based on Structural Equation Modeling (SEM).

Main Results:

  • Successfully applied CFA to phosphor materials data mining for the first time.
  • Achieved a deeper understanding of structural and luminescent-property relationships in LED phosphors.
  • Demonstrated the utility of CFA in analyzing complex material properties.

Conclusions:

  • Data mining via CFA provides valuable insights into phosphor luminescence, augmenting traditional theoretical methods.
  • This approach offers a more comprehensive understanding of LED phosphor performance.
  • Future research can leverage CFA for materials discovery and optimization.