郑州市13种常绿灌木及其主要挥发物抑菌效应研究
Antibacterial Effects of 13 Evergreen Shrubs and Main Volatiles in Zhengzhou City
原江琴 1王翼飞 1汪安印 1李朝梅 1刘召强 2贺丹 1张曼1
作者信息
- 1. 河南农业大学 风景园林与艺术学院,河南 郑州 450002
- 2. 武汉市伊美净科技发展有限公司,武汉 430070
- 折叠
摘要
为探究郑州市常绿灌木的抑菌能力,以十大功劳(Mahonia fortunei)、南天竹(Nandina domestica)等13 种常见常绿灌木为试验材料,采用平板计数法测定抑菌率,选择癸醛、苯甲醛、β-蒎烯、柠檬烯、3-蒈烯5 种叶片中主要的挥发物单体,以抑菌圈直径、最小抑菌浓度和最小杀菌浓度为检测指标,研究不同挥发物单体的抑菌能力.结果表明,13 种常绿灌木间抑菌率差异显著(P<0.05),同一植物碎叶的抑菌率大于相同质量的整叶,南天竹和海桐对金黄色葡萄球菌抑制效果最好,对枯草芽孢杆菌和大肠杆菌抑制效果最好的均为南天竹;5 种挥发物单体对供试菌株的抑制程度不同,苯甲醛的抑菌和杀菌效果最强,β-蒎烯最弱.在今后郑州市进行城市绿化时,可以选择南天竹等抑菌能力较强的树种.
Abstract
For the antimicrobial ability of evergreen shurbs in Zhengzhou,13 typical evergreen shurbs such as Mahonia fortunei and Nandina domestica were used to determine the antimicrobial rate by the method of plate count.Decanal,benzaldehyde,β-pinene,limonene and 3-carene were selected as the main volatiles,the antimicrobial capability of volatiles was researched by taking inhibitory zone,the min-imum inhibitory concentration and minimal bactericidal concentration as determining target.The results showed that there were significant differences in the antimicrobial rate among the 13 evergreen shrubs spe-cies(P<0.05),the bacteriostatic rate of broken leaves was greater than that of whole leaves of the same quality,Nandina domestica and Pittosporum tobira against Staphylococcus aureus was the strongest,and the antimicrobial effect of Nandina domestica against Bacillus subtilis and Escherichia coli was the stron-gest.Five volatile monomers had different inhibitory effects on the tested strains,benzaldehyde had the strongest antibacterial capability,and β-pinene had the weakest.The evergreen trees with a strong anti-bacterial capability,such as Nandina domestica should be priority selection in urban greening of Zheng-zhou City.
关键词
郑州市/常绿灌木/挥发物/抑菌率/抑菌圈直径/最小抑菌浓度/最小杀菌浓度Key words
Zhengzhou City/evergreen shrubs/volatile material/antimicrobial rate/inhibitory zone/minimum inhibitory concentration/minimal bactericidal concentration引用本文复制引用
基金项目
国家自然科学基金(31600579)
河南省科技攻关项目(202102110234)
出版年
2024
NETL
NSTL
维普
万方数据