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Cited by 168

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

RETRACTED: Stabilization of vaccines and antibiotics in silk and eliminating the cold chain

Open access
Zhang, Jeney, Pritchard, Eleanor, Hu, Xiao, Valentin, Thomas, Panilaitis, Bruce, Omenetto, Fiorenzo G., Kaplan, David L.·2012·Proceedings of the National Academy of Sciences

Abstract

Sensitive biological compounds, such as vaccines and antibiotics, traditionally require a time-dependent “cold chain” to maximize therapeutic activity. This flawed process results in billions of dollars worth of viable drug loss during shipping and storage, and severely limits distribution to developing nations with limited infrastructure. To address these major limitations, we demonstrate self-standing silk protein biomaterial matrices capable of stabilizing labile vaccines and antibiotics, even at temperatures up to 60 °C over more than 6 months. Initial insight into the mechanistic basis for these findings is provided. Importantly, these findings suggest a transformative approach to the cold chain to revolutionize the way many labile therapeutic drugs are stored and utilized throughout the world.

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Metadata

Authors
Zhang, J., Pritchard, E., Hu, X., Valentin, T., Panilaitis, B., Omenetto, F. G., & Kaplan, D. L.
Venue
Proceedings of the National Academy of Sciences
Published
2012-07-09
Volume
109
Issue
30
Pages
11981-11986
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2079477627
Cited by
168
References
1
FWCI
7.94
Type
journal article
Language
en
Status
Retracted
Open access
green

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CoChat. (2026). Citation check: RETRACTED: Stabilization of vaccines and antibiotics in silk and eliminating the cold chain. https://app.cochat.ai/papers/10.1073/pnas.1206210109
The paper
Zhang, J., Pritchard, E., Hu, X., Valentin, T., Panilaitis, B., Omenetto, F. G., & Kaplan, D. L. (2012). RETRACTED: Stabilization of vaccines and antibiotics in silk and eliminating the cold chain. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1206210109

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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.