CO 2 -scrubbing, zero gases, Keeling plots, and a new mathematical
approach to ameliorate the deleterious effects of ambient CO 2 during 13
C-breath testing in humans and animals
- Marshall McCue
Abstract
13C-Breath testing is increasingly used in physiology
and ecology research because of what it reveals about the different
fuels that animals oxidize to meet their energetic demands. Here we
review the practice of 13C-breath testing in humans
and other animals and describe the impact that contamination that
ambient/background CO 2 in the air can have on the
accuracy of 13C-breath measurements. We briefly
discuss physical methods to avoid sample contamination as well as the
Keeling plot approach that researchers have been using for the past two
decades to estimate δ 13C from breath samples mixed
with ambient CO 2. Unfortunately, Keeling plots are not
suited for 13C breath testing in common situations
where 1) a subject’s VCO 2 is dynamic 2) ambient [CO
2] may change, 3) a subject is sensitive to
hypercapnia, or 4) in any flow-through indirect calorimetry system. As
such, we present a mathematical solution that addresses these issues by
using information about the instantaneous [CO 2] and
the δ 13CO 2 of ambient air as well as
the diluted breath sample to back-calculate the δ 13CO
2 in the CO 2 exhaled by the animal. We
validate this approach by titrating a sample of
13C-enriched gas into an air stream and demonstrate
its ability to provide accurate values across a wide range of breath and
air mixtures. Researchers can now instantaneously calculate the δ
13C of alveolar gas of humans or animals in real time
without having to scrub ambient CO 2 or rely on
estimated values.
22 May 2023Submitted to Rapid Communications in Mass Spectrometry 22 May 2023Submission Checks Completed
22 May 2023Assigned to Editor
22 May 2023Review(s) Completed, Editorial Evaluation Pending
24 May 2023Reviewer(s) Assigned
12 Jul 2023Editorial Decision: Revise Major
17 Jul 20231st Revision Received
18 Jul 2023Submission Checks Completed
18 Jul 2023Assigned to Editor
18 Jul 2023Review(s) Completed, Editorial Evaluation Pending
26 Jul 2023Reviewer(s) Assigned
26 Aug 2023Editorial Decision: Accept