Growth-promoting mechanism and biological activity of weed-derived carbon dots on Chinese cabbage and peas

IF 6.2 1区 农林科学 Q1 AGRICULTURAL ENGINEERING
Ni Yang , Jiaxin Tang , Jie Lai , Lihan Chen , Yanqiu Xu , Qiang Bian , Zan Zhang , Huanhuan Zhang , Kun Qian
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引用次数: 0

Abstract

In agriculture, Carbon Dots (CDs) have been shown to enhance plant photosynthesis, boost antioxidant capacity and increase stress resistance. Additionally, CDs can serve as pesticide carrier, to improve the stability, solubility and targeted delivery of pesticide molecules. In this study, novel weed-based CDs derived from Commelina communis were developed. Using peas, Chinese cabbage, and aphids as the test objects, the CDs can promote the growth of seedling, within a certain concentration range, where they can significantly increase the fresh weight of plants. This growth-promoting effect is mainly due to the facilitation of iron ion absorption and the synthesis of chlorophyll by the CDs, thereby enhancing plant photosynthesis. In addition, CDs-flonicamid nanocomposite can improve the adhesion of pesticides on the leaf surfaces, and enhance the control effect against aphids. This work lays a foundation for the development of innovative pesticide formulation based on the CDs and their broader application in agriculture.
杂草碳点对大白菜和豌豆的促生长机理及生物活性研究
在农业中,碳点(cd)已被证明可以增强植物的光合作用,提高抗氧化能力和抗逆性。此外,CDs还可以作为农药的载体,提高农药分子的稳定性、溶解度和靶向递送能力。在本研究中,我们开发了一种新的基于杂草的植物cd。以豌豆、大白菜和蚜虫为试验对象,在一定浓度范围内,cd能促进幼苗生长,显著提高植株鲜重。这种促生长作用主要是由于CDs促进了铁离子的吸收和叶绿素的合成,从而增强了植物的光合作用。此外,cd -氟虫胺纳米复合材料可以提高农药在叶片表面的粘附性,增强对蚜虫的防治效果。该工作为基于cd的创新农药配方的开发及其在农业上的广泛应用奠定了基础。
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来源期刊
Industrial Crops and Products
Industrial Crops and Products 农林科学-农业工程
CiteScore
9.50
自引率
8.50%
发文量
1518
审稿时长
43 days
期刊介绍: Industrial Crops and Products is an International Journal publishing academic and industrial research on industrial (defined as non-food/non-feed) crops and products. Papers concern both crop-oriented and bio-based materials from crops-oriented research, and should be of interest to an international audience, hypothesis driven, and where comparisons are made statistics performed.
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