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Bonding in Metals02:32

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Group 1 elements are soft and shiny metallic solids. They are malleable, ductile, and good conductors of heat and electricity. The melting points of the alkali metals are unusually low for metals and decrease going down the group, while the density increases going down the group with the exception of potassium (Table 1).
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Transition metals are defined as those elements that have partially filled d orbitals. As shown in Figure 1, the d-block elements in groups 3–12 are transition elements. The f-block elements, also called inner transition metals (the lanthanides and actinides), also meet this criterion because the d orbital is partially occupied before the f orbitals.
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Synthesis and Characterization of Functionalized Metal-organic Frameworks
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Metal-Organic Frameworks for fingermark detection - A feasibility study.

Sébastien Moret1, Esther Scott1, Adrian Barone1

  • 1University of Technology Sydney, Centre for Forensic Science, Broadway, NSW 2007, Australia.

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|September 2, 2018
PubMed
Summary
This summary is machine-generated.

Metal-Organic Frameworks (MOFs) show potential for detecting protein-rich fingermarks. While currently inferior to established methods, further research may establish MOFs as a viable alternative for forensic applications.

Keywords:
FingerprintsMOFsSmall particle reagent

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Area of Science:

  • Materials Science
  • Forensic Science
  • Chemistry

Background:

  • Metal-Organic Frameworks (MOFs) possess unique physicochemical and optical properties.
  • MOFs are established materials for sensing, separation, and catalysis.
  • Their properties suggest potential applications in forensic science, specifically for fingermark detection.

Purpose of the Study:

  • To investigate the efficacy of Metal-Organic Frameworks (MOFs) for detecting latent and evident fingermarks.
  • To optimize MOF-based detection parameters for various fingermark types, including natural, charged, and protein-enriched samples.
  • To compare the performance of MOF-based fingermark detection against conventional forensic techniques.

Main Methods:

  • Exploration of MOF precursor concentration, pH, immersion time, and detection protocols.
  • Testing MOF effectiveness on natural, charged, and protein-enriched fingermarks.
  • Comparative analysis of the optimized MOF method against standard fingermark detection techniques.

Main Results:

  • Metal-Organic Frameworks demonstrated effectiveness in detecting fingermarks, particularly those rich in proteins and contaminated with body fluids.
  • Optimization of MOF parameters enhanced detection capabilities for specific fingermark types.
  • The MOF-based method yielded results considered inferior to currently employed benchmark techniques.

Conclusions:

  • Metal-Organic Frameworks show promise for fingermark detection, especially for proteinaceous residues.
  • Current MOF-based methods are not yet superior to established forensic techniques.
  • Further research and optimization are required to establish MOFs as a viable alternative to conventional powder suspension methods.