Natural abundance δ13C constraints on the detection of microplastic-derived carbon in freshwater environments

Microplastics (MPs) are increasingly recognized as emerging pollutants in freshwater systems. Detecting and tracing MP-derived carbon in aquatic food webs, however, remains unresolved, limiting our understanding of ecological impacts. Here, we evaluate the potential and limitations of natural abundance stable carbon isotope measurements (δ<sup>13</sup>C) as a tool to identify MP signals in freshwater ecosystems. For this purpose, two freshwater algae, Chlorella vulgaris and Chlamydomonas reinhardtii, were exposed under controlled laboratory conditions to one non-biodegradable polymer, low-density polyethylene (LDPE), and two biodegradable polymers, polylactic acid (PLA) and polybutylene adipate-co-terephthalate (PBAT), to assess isotope composition and growth. Laboratory data were complemented by particulate organic carbon (δ<sup>13</sup>C<sub>POC</sub>) measurements from seasonal Danube River campaigns (2023-2024) with modeled predictions based on dissolved organic carbon (δ<sup>13</sup>C<sub>DIC</sub>). MP exposure did not inhibit algae growth, but C. vulgaris exhibited significant (p <0.05) δ<sup>13</sup>C enrichment (+4 to +5 ‰), whereas C. reinhardtii showed no isotopic response. These shifts were unrelated to polymer isotope values and likely reflect indirect physiological stress rather than assimilation of polymer-derived carbon. Complementary binary mixing experiments further confirmed that measurable isotopic shifts occur only at unrealistically low algae-to-MP ratios (≤10:1), underscoring the limited sensitivity of isotope mass balances. Field surveys revealed pronounced seasonal δ<sup>13</sup>C<sub>POC</sub> variability in the Danube, spanning 7.4 ‰ annually. Yet deviations from modeled expectations were inconsistent with MP inputs and instead reflected natural drivers such as productivity and remineralization. Overall, while natural abundance δ<sup>13</sup>C can capture subtle algae responses to MP exposure under laboratory conditions, its diagnostic power for tracing MP-derived carbon in complex freshwater systems appears limited.

Authors

Institutions

Publication Details

Journal
Environmental Pollution
Published
2025-11-24
DOI
https://doi.org/10.1016/j.envpol.2025.127435
Citations
1
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
0.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Natural abundance δ13C constraints on the detection of microplastic-derived carbon in freshwater environments

Kathrin Castiglione, Johannes A. C. Barth, Patrik Blenk, Liliane Rueß et al.
1 citations
Environmental Pollution
Microplastics and Plastic Pollution
0.50
article

Natural abundance δ13C constraints on the detection of microplastic-derived carbon in freshwater environments

Kathrin Castiglione, Johannes A. C. Barth, Patrik Blenk, Liliane Rueß, Anna‐Neva Visser, Jan Maier
article en
1 citations

Abstract

Microplastics (MPs) are increasingly recognized as emerging pollutants in freshwater systems. Detecting and tracing MP-derived carbon in aquatic food webs, however, remains unresolved, limiting our understanding of ecological impacts. Here, we evaluate the potential and limitations of natural abundance stable carbon isotope measurements (δ<sup>13</sup>C) as a tool to identify MP signals in freshwater ecosystems. For this purpose, two freshwater algae, Chlorella vulgaris and Chlamydomonas reinhardtii, were exposed under controlled laboratory conditions to one non-biodegradable polymer, low-density polyethylene (LDPE), and two biodegradable polymers, polylactic acid (PLA) and polybutylene adipate-co-terephthalate (PBAT), to assess isotope composition and growth. Laboratory data were complemented by particulate organic carbon (δ<sup>13</sup>C<sub>POC</sub>) measurements from seasonal Danube River campaigns (2023-2024) with modeled predictions based on dissolved organic carbon (δ<sup>13</sup>C<sub>DIC</sub>). MP exposure did not inhibit algae growth, but C. vulgaris exhibited significant (p <0.05) δ<sup>13</sup>C enrichment (+4 to +5 ‰), whereas C. reinhardtii showed no isotopic response. These shifts were unrelated to polymer isotope values and likely reflect indirect physiological stress rather than assimilation of polymer-derived carbon. Complementary binary mixing experiments further confirmed that measurable isotopic shifts occur only at unrealistically low algae-to-MP ratios (≤10:1), underscoring the limited sensitivity of isotope mass balances. Field surveys revealed pronounced seasonal δ<sup>13</sup>C<sub>POC</sub> variability in the Danube, spanning 7.4 ‰ annually. Yet deviations from modeled expectations were inconsistent with MP inputs and instead reflected natural drivers such as productivity and remineralization. Overall, while natural abundance δ<sup>13</sup>C can capture subtle algae responses to MP exposure under laboratory conditions, its diagnostic power for tracing MP-derived carbon in complex freshwater systems appears limited.

Environmental PollutionVol. 389
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Humboldt-Universität zu Berlin (DE)
Openalex Percentile: Top 31%
Microplastics and Plastic Pollution
0.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.