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Biomimetic polymers of plant cutin: an approach from molecular modeling

Overview of attention for article published in Journal of Molecular Modeling, July 2014
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Title
Biomimetic polymers of plant cutin: an approach from molecular modeling
Published in
Journal of Molecular Modeling, July 2014
DOI 10.1007/s00894-014-2329-y
Pubmed ID
Authors

Miguel A. San-Miguel, Jaime Oviedo, Jose Alejandro Heredia-Guerrero, Antonio Heredia, Jose Jesus Benitez

Abstract

Biomimetics of materials is based on adopting and reproducing a model in nature with a well-defined functionality optimized through evolution. An example is barrier polymers that protect living tissues from the environment. The protecting layer of fruits, leaves, and non-lignified stems is the plant cuticle. The cuticle is a complex system in which the cutin is the main component. Cutin is a biopolyester made of polyhydroxylated carboxylic acids of 16 and 18 carbon atoms. The biosynthesis of cutin in plants is not well understood yet, but a direct chemical route involving the self-assembly of either molecules or molecular aggregates has been proposed. In this work, we present a combined study using experimental and simulation techniques on self-assembled layers of monomers selectively functionalized with hydroxyl groups. Our results demonstrate that the number and position of the hydroxyl groups are critical for the interaction between single molecules and the further rearrangement. Also, the presence of lateral hydroxyl groups reinforces lateral interactions and favors the bi-dimensional growth (2D), while terminal hydroxyl groups facilitate the formation of a second layer caused by head-tail interactions. The balance of 2D/3D growth is fundamental for the plant to create a protecting layer both large enough in 2D and thick enough in 3D.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 23%
Student > Ph. D. Student 4 18%
Student > Doctoral Student 3 14%
Student > Postgraduate 2 9%
Professor > Associate Professor 1 5%
Other 1 5%
Unknown 6 27%
Readers by discipline Count As %
Chemistry 8 36%
Agricultural and Biological Sciences 3 14%
Environmental Science 2 9%
Chemical Engineering 1 5%
Materials Science 1 5%
Other 1 5%
Unknown 6 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 September 2014.
All research outputs
#18,374,472
of 22,758,248 outputs
Outputs from Journal of Molecular Modeling
#519
of 811 outputs
Outputs of similar age
#163,075
of 227,325 outputs
Outputs of similar age from Journal of Molecular Modeling
#14
of 17 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 811 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.