Evidence map›Paper›PMID 35379896›Full record

ArticleScientific reports2022

Micro-replication platform for studying the structural effect of seed surfaces on wetting properties.

Seungwoo Shin, Su Hyun Choi, Shukherdorj Baasanmunkh, Seok Kim, Hyeok Jae Choi, Young Tae Cho

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Seungwoo ShinDepartment of Smart Manufacturing Engineering, Changwon National University, Changwon-si, 51140, Republic of Korea.
Su Hyun ChoiDepartment of Mechanical Engineering, Changwon National University, Changwon-si, 51140, Republic of Korea.
Shukherdorj BaasanmunkhDepartment of Biology and Chemistry, Changwon National University, Changwon-si, 51140, Republic of Korea.
Seok KimDepartment of Smart Manufacturing Engineering, Changwon National University, Changwon-si, 51140, Republic of Korea.
Hyeok Jae ChoiDepartment of Biology and Chemistry, Changwon National University, Changwon-si, 51140, Republic of Korea. hjchoi1975@changwon.ac.kr.
Young Tae ChoDepartment of Smart Manufacturing Engineering, Changwon National University, Changwon-si, 51140, Republic of Korea. ytcho@changwon.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological surfaces in plants are critical for controlling essential functions such as wettability, adhesion, and light management, which are linked to their adaptation, survival, and reproduction. Biomimetically patterned surfaces replicating the microstructures of plant surfaces have become an emerging tool for understanding plant-environment interactions. In this study, we developed a two-step micro-replication platform to mimic the microstructure of seed surfaces and demonstrated that this initial platform can be used to study seed surface-environment interactions. The two-step process involved the extraction of a simplified seed surface model from real seeds and micro-replication of the simplified seed surface model using nanoimprint lithography. Using Allium seeds collected from Mongolia and Central Asia as the model system, we studied the wettability of biological and synthetic seed surfaces. We could independently control the material properties of a synthetic seed surface while maintaining the microstructures and, thereby, provide clear evidence that Allium seed surfaces were highly wettable owing to the high surface energy in the epidermal material rather than a microstructural effect. We expect that this platform can facilitate study of the independent effect of microstructure on the interaction of seed surfaces with their surroundings and contribute to research on the evolution of plant-environment interactions.

Indexed as

SeedsMongoliaWettability

Identifiers

PMID35379896
PMCPMC8980016

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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.