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Carbon-13 (¹³C) NMR: Overview01:10

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Carbon-13 is a naturally occurring NMR-active isotope of carbon with a low natural abundance of 1.1%. In contrast, carbon-12 is the most abundant isotope of carbon with zero nuclear spin. Therefore, it is NMR inactive. The gyromagnetic ratio of carbon-13 is smaller than that of protons. As a result, carbon-13 resonance is about 6000 times weaker than proton resonance. For a given magnetic field strength, the resonance frequency of carbon-13 is about one-fourth of the resonance frequency for...
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Residue-specific Incorporation of Noncanonical Amino Acids into Model Proteins Using an Escherichia coli Cell-free Transcription-translation System
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Technical note: A linear model for predicting δ13 Cprotein.

William J Pestle1, Mark Hubbe2,3, Erin K Smith1

  • 1Department of Anthropology, University of Miami, Coral Gables, FL, 33124-2005.

American Journal of Physical Anthropology
|March 31, 2015
PubMed
Summary
This summary is machine-generated.

A new model accurately predicts carbon isotope values of protein (δ(13) Cprotein) from collagen (δ(13) Cco) and carbonate (Δ(13) Cap-co) in ancient human remains, aiding paleodiet studies.

Keywords:
anatomybehaviorbioarchaeologyecologyhuman biologyphysiology

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Area of Science:

  • Paleoanthropology
  • Biogeochemistry
  • Stable Isotope Analysis

Background:

  • Understanding ancient human diets is crucial for reconstructing past societies.
  • Stable isotope analysis of bone collagen and carbonate provides insights into diet.
  • Predicting protein isotope values from bone is essential for paleodietary reconstructions.

Purpose of the Study:

  • To develop a predictive model for δ(13) Cprotein using δ(13) Ccollagen and Δ(13) Cap-co.
  • To enable the use of predicted δ(13) Cprotein values in multisource mixture modeling of paleodiet.
  • To provide a method for estimating dietary protein sources from osseous remains.

Main Methods:

  • Linear regression analysis of controlled diet data.
  • Development of a two-term linear mathematical model.
  • Testing the model with isotopic data from ancient individuals.

Main Results:

  • A highly accurate model (R-value of 0.93) was developed: δ(13) Cprotein = (0.78 × δ(13) Cco) - (0.58 × Δ(13) Cap-co) - 4.7.
  • The model demonstrated a prediction error of ±1.9% for δ(13) Cprotein.
  • The model was successfully validated using data from the Atacama Desert.

Conclusions:

  • The developed model reliably predicts protein carbon isotope values from routine bone analyses.
  • Predicted values are suitable for paleodietary reconstructions using mixture modeling.
  • This method enhances the ability to study ancient dietary protein sources.