ArticlePloS one2021
Comparative analysis of the dust retention capacity and leaf microstructure of 11 Sophora japonica clones.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 13 citations in OpenAlex.
- Satisfaction and retention among NHIS enrollees at a tertiary hospital in Ebonyi State, Nigeria: facility-based insights for community-based health insurance policy.BMC public health · 2026Article
- Aqueous extract of Acer truncatum leaves retards Drosophila melanogaster senescence by regulating amino acid metabolism and gut microbiota.Scientific reports · 2025Article
- The relationship between atmospheric particulate matter, leaf surface microstructure, and the phyllosphere microbial diversity of Ulmus L.BMC plant biology · 2024Article
- Metabolomic analysis reveals dynamic changes in secondary metabolites of Sophora japonica L. during flower maturation.Frontiers in plant science · 2022Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 PM2.5, A9 had the strongest retention capacity for PM2.5-10, 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.
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