Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 285

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Biodegradation of Polyethylene and Polystyrene by Greater Wax Moth Larvae (Galleria mellonella L.) and the Effect of Co-diet Supplementation on the Core Gut Microbiome

Lou, Yu, Ekaterina, Pererva, Yang, Shan-Shan, Lu, Baiyun, Liu, Bingfeng, Ren, Nanqi, Corvini, Philippe F.-X., Xing, Defeng·2020·Environmental Science & Technology

Abstract

Plastics waste and microplastics including polyethylene (PE) and polystyrene (PS) have been an environmental concern for years. Recent research has revealed that larvae of Galleria mellonella are capable of biodegrading low density PE film. In this study, we tested the feasibility of enhancing larval survival and the effect of supplementing the co-diet on plastic degradation by feeding the larvae beeswax or wheat bran as a co-diet. Significant mass loss of plastic was observed over a 21-day period, i.e., with respective consumption of 0.88 and 1.95 g by 150 larvae fed only either PS or PE. The formation of C═O and C–O containing functional groups and long chain fatty acids as the metabolic intermediates of plastics in the residual polymers indicated depolymerization and biodegradation. Supplementing beeswax and bran increased the survival rates but decreased the consumption of plastic. The changes in the gut microbiome revealed that Bacillus and Serratia were significantly associated with the PS and PE diets. Beeswax and bran showed different shaping effects on the core gut microbiome of larvae fed the PE and PS. These results suggest that supplementing the co-diet affected the physiological properties of the larvae and plastic biodegradation and shaped the core gut microbiome.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acs.est.9b07044

Cites

32 of 32 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 285

Metadata

Authors
Lou, Y., Ekaterina, P., Yang, S.-S., Lu, B., Liu, B., Ren, N., Corvini, P. F.-X., & Xing, D.
Venue
Environmental Science & Technology
Published
2020-02-03
Volume
54
Issue
5
Pages
2821-2831
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W3005494987
Cited by
285
References
32
FWCI
8.15
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.