Evidence map›Paper›PMID 27911849›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Scalable manufacturing of biomimetic moldable hydrogels for industrial applications.

Anthony C Yu, Haoxuan Chen, Doreen Chan, Gillie Agmon, Lyndsay M Stapleton, Alex M Sevit, Mark W Tibbitt, Jesse D Acosta, Tony Zhang, Paul W Franzia and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

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  9. Journal of the American Chemical Society · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Anthony C YuDepartment of Materials Science & Engineering, Stanford University, Stanford, CA 94305.
Haoxuan ChenDepartment of Materials Science & Engineering, Stanford University, Stanford, CA 94305.
Doreen ChanDepartment of Chemistry, Stanford University, Stanford, CA 94305.
Gillie AgmonDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Lyndsay M StapletonDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Alex M SevitDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Mark W TibbittDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139.
Jesse D AcostaDepartment of Natural Resource Management & Environmental Sciences, California Polytechnic State University, San Luis Obispo, CA 93407.
Tony ZhangBronco Wine Company, Ceres, CA 95307.
Paul W FranziaBronco Wine Company, Ceres, CA 95307.
Robert LangerDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139; rlanger@mit.edu eappel@stanford.edu.
Eric A AppelDepartment of Materials Science & Engineering, Stanford University, Stanford, CA 94305; rlanger@mit.edu eappel@stanford.edu.ORCID 0000-0002-2301-7126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogels are a class of soft material that is exploited in many, often completely disparate, industrial applications, on account of their unique and tunable properties. Advances in soft material design are yielding next-generation moldable hydrogels that address engineering criteria in several industrial settings such as complex viscosity modifiers, hydraulic or injection fluids, and sprayable carriers. Industrial implementation of these viscoelastic materials requires extreme volumes of material, upwards of several hundred million gallons per year. Here, we demonstrate a paradigm for the scalable fabrication of self-assembled moldable hydrogels using rationally engineered, biomimetic polymer-nanoparticle interactions. Cellulose derivatives are linked together by selective adsorption to silica nanoparticles via dynamic and multivalent interactions. We show that the self-assembly process for gel formation is easily scaled in a linear fashion from 0.5 mL to over 15 L without alteration of the mechanical properties of the resultant materials. The facile and scalable preparation of these materials leveraging self-assembly of inexpensive, renewable, and environmentally benign starting materials, coupled with the tunability of their properties, make them amenable to a range of industrial applications. In particular, we demonstrate their utility as injectable materials for pipeline maintenance and product recovery in industrial food manufacturing as well as their use as sprayable carriers for robust application of fire retardants in preventing wildland fires.

Indexed as

hydrogelsindustrial applicationsmanufacturingnanotechnologysupramolecular

Identifiers

PMID27911849
PMCPMC5167152

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.