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@ARTICLE{Zhu:1044993,
author = {Zhu, Jianjun and Hirl, Regina T. and Baca Cabrera, Juan C.
and Schäufele, Rudi and Schnyder, Hans},
title = {{A}ssessing and avoiding {C} isotopic contamination
artefacts in mesocosm-scale 13{CO}2/12{CO}2 labelling
systems: from biomass components to purified carbohydrates
and dark respiration},
journal = {Plant methods},
volume = {21},
number = {1},
issn = {1746-4811},
address = {London},
publisher = {BioMed Central},
reportid = {FZJ-2025-03477},
pages = {111},
year = {2025},
abstract = {Quantitative understanding of plant carbon (C) metabolism
by 13CO2/12CO2-labelling studies requires absence (or
knowledge) of C-isotopic contamination artefacts during
tracer application and sample processing. Surprisingly, this
concern has not been addressed systematically and
comprehensively yet is especially crucial in experiments at
different atmospheric CO2 concentrations ([CO2]), when
experimental protocols require frequent access to the
labelling chambers. Here, we used a plant growth
chamber-based 13CO2/12CO2 gas exchange-facility to address
this topic. The facility comprised four independent units,
with two chambers routinely operated in parallel under
identical conditions except for the isotopic composition of
CO2 supplied to them (δ13CCO2 −43.5‰ versus −5.6‰).
In this setup, dδ13CX (the measurements-based
δ13C-difference between matching samples X collected from
the parallel chambers) is expected to equal dδ13CRef (the
predictable, non-contaminated δ13C-difference ), if
sample-C is completely derived from the contrasting CO2
sources. Accordingly, contamination (fcontam) was determined
as fcontam = 1– dδ13CX/dδ13CRef in this experimental
setup. Determinations were made for biomass fractions,
water-soluble carbohydrate (WSC) components and dark
respiration of Lolium perenne (perennial ryegrass) stands
following growth for ∼9 weeks at 200, 400 or 800 µmol
mol− 1 CO2, with a terminal two weeks-long period of
extensive experimental disturbance of the chambers.},
cin = {IBG-3},
ddc = {570},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
pubmed = {40790535},
UT = {WOS:001548547400001},
doi = {10.1186/s13007-025-01431-3},
url = {https://juser.fz-juelich.de/record/1044993},
}