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Comparative analysis of the dust retention capacity and leaf microstructure of 11 Sophora japonica clones
We used fresh leaves of Sophora japonica L. variety ‘Qingyun 1’ (A0) and 10 superior clones of the same species (A1–A10) to explore leaf morphological characteristics and total particle retention per unit leaf area under natural and artificial simulated dust deposition treatments. Our objectives wer...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423301/ https://www.ncbi.nlm.nih.gov/pubmed/34492027 http://dx.doi.org/10.1371/journal.pone.0254627 |
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author | Yu, Jie Xu, Li-Ren Liu, Chong Li, Yong-Tan Pang, Xin-Bo Liu, Zhao-Hua Yang, Min-Sheng Li, Yan-Hui |
author_facet | Yu, Jie Xu, Li-Ren Liu, Chong Li, Yong-Tan Pang, Xin-Bo Liu, Zhao-Hua Yang, Min-Sheng Li, Yan-Hui |
author_sort | Yu, Jie |
collection | PubMed |
description | We used fresh leaves of Sophora japonica L. variety ‘Qingyun 1’ (A0) and 10 superior clones of the same species (A1–A10) to explore leaf morphological characteristics and total particle retention per unit leaf area under natural and artificial simulated dust deposition treatments. Our objectives were to explore the relationship between the two methods and to assess particle size distribution, X-ray fluorescence (XRF) heavy metal content, and scanning electron and atomic force microscopy (SEM and AFM) characteristics of leaf surface microstructure. Using the membership function method, we evaluated the dust retention capacity of each clone based on the mean degree of membership of its dust retention index. Using correlation analysis, we selected leaf morphological and SEM and AFM indices related significantly to dust retention capacity. Sophora japonica showed excellent overall dust retention capacity, although this capacity differed among clones. A5 had the strongest overall retention capacity, A2 had the strongest retention capacity for PM(2.5), A9 had the strongest retention capacity for PM(2.5–10), A0 had the strongest retention capacity for PM(>10), and A2 had the strongest specific surface area (SSA) and heavy metal adsorption capacity. Overall, A1 had the strongest comprehensive dust retention ability, A5 was intermediate, and A7 had the weakest capacity. Certain leaf morphological and SEM and AFM characteristic indices correlated significantly with the dust retention capacity. |
format | Online Article Text |
id | pubmed-8423301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-84233012021-09-08 Comparative analysis of the dust retention capacity and leaf microstructure of 11 Sophora japonica clones Yu, Jie Xu, Li-Ren Liu, Chong Li, Yong-Tan Pang, Xin-Bo Liu, Zhao-Hua Yang, Min-Sheng Li, Yan-Hui PLoS One Research Article We used fresh leaves of Sophora japonica L. variety ‘Qingyun 1’ (A0) and 10 superior clones of the same species (A1–A10) to explore leaf morphological characteristics and total particle retention per unit leaf area under natural and artificial simulated dust deposition treatments. Our objectives were to explore the relationship between the two methods and to assess particle size distribution, X-ray fluorescence (XRF) heavy metal content, and scanning electron and atomic force microscopy (SEM and AFM) characteristics of leaf surface microstructure. Using the membership function method, we evaluated the dust retention capacity of each clone based on the mean degree of membership of its dust retention index. Using correlation analysis, we selected leaf morphological and SEM and AFM indices related significantly to dust retention capacity. Sophora japonica showed excellent overall dust retention capacity, although this capacity differed among clones. A5 had the strongest overall retention capacity, A2 had the strongest retention capacity for PM(2.5), A9 had the strongest retention capacity for PM(2.5–10), A0 had the strongest retention capacity for PM(>10), and A2 had the strongest specific surface area (SSA) and heavy metal adsorption capacity. Overall, A1 had the strongest comprehensive dust retention ability, A5 was intermediate, and A7 had the weakest capacity. Certain leaf morphological and SEM and AFM characteristic indices correlated significantly with the dust retention capacity. Public Library of Science 2021-09-07 /pmc/articles/PMC8423301/ /pubmed/34492027 http://dx.doi.org/10.1371/journal.pone.0254627 Text en © 2021 Yu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Yu, Jie Xu, Li-Ren Liu, Chong Li, Yong-Tan Pang, Xin-Bo Liu, Zhao-Hua Yang, Min-Sheng Li, Yan-Hui Comparative analysis of the dust retention capacity and leaf microstructure of 11 Sophora japonica clones |
title | Comparative analysis of the dust retention capacity and leaf microstructure of 11 Sophora japonica clones |
title_full | Comparative analysis of the dust retention capacity and leaf microstructure of 11 Sophora japonica clones |
title_fullStr | Comparative analysis of the dust retention capacity and leaf microstructure of 11 Sophora japonica clones |
title_full_unstemmed | Comparative analysis of the dust retention capacity and leaf microstructure of 11 Sophora japonica clones |
title_short | Comparative analysis of the dust retention capacity and leaf microstructure of 11 Sophora japonica clones |
title_sort | comparative analysis of the dust retention capacity and leaf microstructure of 11 sophora japonica clones |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423301/ https://www.ncbi.nlm.nih.gov/pubmed/34492027 http://dx.doi.org/10.1371/journal.pone.0254627 |
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