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Cryo-electron Microscopy01:28

Cryo-electron Microscopy

Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...

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Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow
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Elucidating 'undecipherable' chemical structures using computer-assisted structure elucidation approaches.

Mikhail Elyashberg1, Kirill Blinov, Sergey Molodtsov

  • 1Advanced Chemistry Development, Moscow Department, 6 Akademik Bakulev Street, Moscow, 117513, Russia.

Magnetic Resonance in Chemistry : MRC
|January 20, 2012
PubMed
Summary
This summary is machine-generated.

Computer-assisted structure elucidation effectively solves complex problems where traditional methods fail. Evaluating new Nuclear Magnetic Resonance (NMR) techniques requires integrated expert systems for processing NMR spectral data.

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Area of Science:

  • Chemistry
  • Spectroscopy
  • Computational Chemistry

Background:

  • Traditional structure elucidation methods using 2D NMR data can be insufficient for certain complex chemical structures.
  • Challenges arise from processing ambiguous, incomplete, or contradictory information inherent in 2D NMR spectra.

Purpose of the Study:

  • To demonstrate the efficacy of computer-assisted structure elucidation (CASE) methods.
  • To highlight the necessity of integrating CASE systems with novel NMR experimental techniques.

Main Methods:

  • Application of computer-assisted structure elucidation (CASE) algorithms.
  • Analysis of challenging 2D NMR datasets where traditional methods were inadequate.

Main Results:

  • CASE methods successfully determined structures that were intractable using conventional approaches.
  • The study confirms the capability of CASE systems to handle complex and imperfect spectral information.

Conclusions:

  • Computer-assisted structure elucidation is essential for solving complex structural problems.
  • Novel NMR techniques must be evaluated in conjunction with expert systems capable of processing complex spectral data.