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Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
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Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
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For AAS measurements, samples must be introduced as clear solutions, often requiring extensive preliminary treatment to dissolve materials like soils, animal tissues, and minerals. Common methods for sample preparation include treatment with hot mineral acids, wet ashing, combustion in closed containers, high-temperature ashing, or fusion with reagents.
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Atomic absorption spectroscopy (AAS) is a technique used to analyze elements by measuring electromagnetic radiation (EMR) absorbed by atoms, which causes them to transition to a higher-energy orbit. The most crucial step in AAS is atomization, where the analyte is converted into gas-phase atoms, typically through a flame or furnace. Some of these atoms become thermally excited in the flame, while most remain in the ground state.
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Atomic fluorescence spectroscopy (AFS) is an analytical technique that involves the electronic transitions of atoms in a flame, furnace, or plasma being excited by electromagnetic (EM) radiation. When these atoms absorb energy, they become excited and subsequently release energy as they return to their original state. This emitted light, or "fluorescence," is observed at a right angle to the incident beam. Both absorption and emission processes transpire at distinct wavelengths, which...
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Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
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Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering
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ATSAS 3.0: expanded functionality and new tools for small-angle scattering data analysis.

Karen Manalastas-Cantos1, Petr V Konarev2, Nelly R Hajizadeh1

  • 1European Molecular Biology Laboratory, Hamburg Site, Notkestrasse 85, Building 25 A, Hamburg, 22607, Germany.

Journal of Applied Crystallography
|April 9, 2021
PubMed
Summary
This summary is machine-generated.

The ATSAS 3.0 software suite offers advanced tools for analyzing small-angle scattering data from biological molecules. New features enhance simulation, modeling, and data processing for structural biology research.

Keywords:
ATSASbiological macromoleculesdata analysissmall-angle scatteringstructural modelling

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Area of Science:

  • Structural Biology
  • Biophysical Chemistry
  • Computational Biology

Background:

  • Small-angle scattering (SAS) is crucial for studying biological macromolecules in solution.
  • Accurate data processing and modeling are essential for interpreting SAS experiments.
  • The ATSAS software suite has been a standard tool for SAS data analysis.

Purpose of the Study:

  • To introduce the new features and technical updates in the ATSAS 3.0 software package.
  • To provide researchers with enhanced capabilities for SAS data analysis and macromolecular modeling.
  • To improve the usability and compatibility of the ATSAS software suite.

Main Methods:

  • Development of new modules for simulating scattering patterns (IMSIM) and image processing (IMOP).
  • Implementation of advanced algorithms for pair distance distribution function computation (DATFT) and fitting (PDDFFIT).
  • Introduction of novel methods for molecular weight estimation (DATMW), ab initio shape analysis (DATMIF), and modeling of complex systems (DAMEMB, ELLLIP, NMATOR, DAMMIX, LIPMIX, BILMIX).
  • Technical updates including GUI migration (PRIMUS to Qt5) and Python 2/3 compatibility for SASpy.

Main Results:

  • ATSAS 3.0 integrates a comprehensive set of tools for various SAS data analysis tasks.
  • New modules enable advanced simulations, accurate structural parameter estimation, and de novo shape reconstruction.
  • Improved modeling capabilities cover membrane proteins, liposomes, nucleic acids, and lipid vesicles.
  • Enhanced software compatibility and maintainability through technical updates.

Conclusions:

  • ATSAS 3.0 significantly expands the analytical power for small-angle scattering data.
  • The new features facilitate more accurate and comprehensive structural studies of biological macromolecules.
  • The updated software suite supports a wider range of research applications in structural biology and biophysics.