Regulating the Entire Journey of Pesticide Application on Surfaces of Hydrophobic Leaves Modified by Pathogens at Different Growth Stages

He, Lifei; Xi, Shuwen; Ding, Lianhui; Li, Beixing; Mu, Wei; Li, Peiqiang; Liu, Feng

doi:10.1021/acsnano.1c09221

Cited by 35 publications

(14 citation statements)

References 49 publications

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“…1 and Fig. 2, the SSAS-C12/glycerol binary additive can enhance the droplet deposition with SSAS-C12 concentration as low as 0.25% (w), which concentration is much lower than that in the reported system 3,19,31 . Therefore, the dynamic property of SSAS-C12/glycerol binary system must play an important role in controlling the droplets deposition during the high-speed impacting process.…”

Section: Investigation Of the Structure Differences Of Surfactants On...mentioning

confidence: 76%

“…Chemical pesticide plays an important role in the control of pests for the security of food production 1 . Studies showed that nearly 50% of pesticides were lost in the process of leaf spray due to bounce and splash in the target crop leaves 2,3 , which brought about various issues by the loss of chemical pesticides [4][5][6][7][8][9][10] . Enhancing the pesticide droplet deposition on the target leaf is an effective strategy to decrease pesticides loss, and the issue has been extensively studied in recent years [5][6][7][8][9][11][12][13] .…”

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confidence: 99%

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Experimental and Molecular Dynamic Simulation of Droplet Deposition on Superhydrophobic Plant Leaf Surfaces

Chen¹,

Zhang²,

Cao³

et al. 2022

Acta Physico Chimica Sinica

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Pesticide droplet deposition on targeted plant leaf surfaces is of great importance but remains a significant challenge, especially on leaf surfaces of superhydrophobic plants. The loss of sprayed pesticide droplets leads to the overuse of pesticides and environmental pollution. Therefore, in this study, we aimed at developing a system that was capable of enhancing droplet deposition on the surfaces of superhydrophobic plant leaves via hydrogen bonding between a biobased surfactant and glycerol at low concentration (0.25%). The system based on the sorbitol-alkylamine surfactant (denoted as SSAS-C12) with a small amount of glycerol (0.001%) could efficiently inhibit droplet bouncing and splashing on different superhydrophobic/hydrophobic plant leaf surfaces. The results obtained indicated that the addition of glycerol did not change the surface tension, viscosity, contact angles on the plant leaf surfaces, and aggregate morphology of the SSAS-C12 solutions. Diffusion-ordered nuclear magnetic resonance spectroscopy revealed that glycerol accelerated the diffusion of SSAS-C12 molecules. More specifically, SSAS-C12 molecules could diffuse and adsorb on plant leaf surfaces within a short period of time. Other surfactants (denoted as DSSAS-C12 and BAPO-C12) with varying numbers of hydroxyl groups were used to verify the enhancement of the deposition on superhydrophobic plant leaf surfaces caused by hydrogen bonding. It was revealed that a decrease in the number of hydroxyl groups in the surfactant molecules led to a decrease in the number of hydrogen bonds between the glycerol and surfactant molecules. Moreover, the diffusion rates of the DSSAS-C12 and BAPO-C12 molecules in solution were low, causing the surfactant molecules to not reach the solid-liquid interface in time. Consequently, the droplets containing surfactant molecules (of DSSAS-C12 or BAPO-C12) bounced and broke up on the surfaces of plant leaves. Finally, we used molecular dynamics (MD) simulations to explore the energy and molecular distribution of different surfactant-glycerol mixtures. The energy evolution of the SSAS-C12-glycerol system and the distribution of surfactant molecules relative to the distance from the solid surface in the MD simulations showed that the addition of glycerol twisted the headgroup in SSAS-C12 via hydrogen bonding with glycerol. In this case, SSAS-C12 molecules experienced rapid diffusion and adsorption on the solid interface. Therefore, this study not only provided a constructive way to overcome the bouncing behavior of droplets but also prompted us to verify whether all hydrogen bonding interactions among different molecules could display similar control efficiencies through the rational selection of additives.

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Section: Investigation Of the Structure Differences Of Surfactants On...mentioning

confidence: 76%

mentioning

confidence: 99%

Experimental and Molecular Dynamic Simulation of Droplet Deposition on Superhydrophobic Plant Leaf Surfaces

Chen¹,

Zhang²,

Cao³

et al. 2022

Acta Physico Chimica Sinica

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“…20 The balance of these two forces results in bouncing, splashing, breaking, or deposition, involving kinetic mechanisms including surface energy (E s ), kinetic energy (E k ), potential energy (E p ), and dissipation energy (E d ). 21 As is known to all, the core of effective droplet retraction or rebound is the change in wetting behavior accompanied by energy dissipation. 22 The wetting state transition in the horizontal spread and vertical penetration is the key factor in describing the wetting behavior in terms of contact angle (CA), surface tension, adhesion tension, spreading coefficient, and adhesion work.…”

Section: ■ Introductionmentioning

confidence: 99%

Machine Learning to Predict the Interfacial Behavior of Pesticide Droplets on Hydrophobic Surfaces for Minimizing Environmental Risk

Song

Bao

et al. 2022

ACS Sustainable Chem. Eng.

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Achieving accurate and efficient target deposition of pesticide droplets is the principal factor in minimizing environmental risk. For hydrophobic surfaces, adding tank-mix adjuvants containing surfactants to modulate interfacial behavior is warranted, which lacks common laws to guide practical applications directly. Machine learning is developing rapidly and makes many data-based decisions in various industrial processes. Hence, according to machine learning-based analysis of fundamental physical quantities, proposing quantitative sustainability metrics to improve interface behavior is essential. Comparing the interfacial behavior of five adjuvants, the common denominator is that droplets in the Wenzel state with higher adhesion tension and lower contact angles can generate the pinning force that causes energy dissipation, reduces pesticide losses, and weakens environmental pollution. Simultaneously, the interfacial behavior of pesticide droplets including adjuvants on citrus leaves is verified, while the phytotoxicity experiment under high temperature and the laboratory bioassay are carried out. The results show that the eco-friendly alkyl polyglycoside (APG) as the glycosidic surfactant has nontarget biosafety and better mite control, which can be exploited as a commercial tank-mix adjuvant for promotion. This study provides a new insight into guiding adjuvants added to pesticides on account of quantitative sustainability metrics, which has important implications for food safety and agricultural green development.

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“…10−12 Previous studies have focused on improving operational quality through improved UAV components and developing special formulations and tank-mix adjuvants to improve the efficiency of pesticide delivery. 13−16 Notably, the effects of physicochemical properties and droplet impact behavior of pesticides on their wetting diffusion are mainly focused on pesticides, 17 bactericides, 18 and herbicides, 19 while the research on cotton defoliants is rarely studied. In addition to limited research, there is a lack of scientific standards and guidance regarding the application methods and pesticide doses for UAV-based pesticide application for plant protection.…”

Section: ■ Introductionmentioning

confidence: 99%

“…The low spraying volume characteristic of UAVs requires that a sufficiently high number of droplets be deposited per unit area and adhere effectively to the cotton leaves. Evaporation, drift, and bouncing of spray droplets can lead to pesticide loss, reduced efficacy, and increased environmental risks. − Previous studies have focused on improving operational quality through improved UAV components and developing special formulations and tank-mix adjuvants to improve the efficiency of pesticide delivery. − Notably, the effects of physicochemical properties and droplet impact behavior of pesticides on their wetting diffusion are mainly focused on pesticides, bactericides, and herbicides, while the research on cotton defoliants is rarely studied. In addition to limited research, there is a lack of scientific standards and guidance regarding the application methods and pesticide doses for UAV-based pesticide application for plant protection .…”

Section: Introductionmentioning

confidence: 99%

Study on Droplet Impact and Spreading and Deposition Behavior of Harvest Aids on Cotton Leaves

et al. 2022

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The deposition and spreading of pesticide droplets on the surface of plants is a severe challenge to precise pesticide application, which directly affects the pesticide utilization rate and efficacy. Cotton harvest aids are widely used in machine-picked cotton but the effect of formulation and concentration on the droplet behavior and defoliation effect of cotton defoliants is not clear. To clarify the influence of formulation and concentration on the droplet behavior of cotton defoliants, four formulations (suspension concentrate (SC), water dispersible granule (WG), oil dispersion (OD), and wettable powder (WP)) of cotton defoliants were used to prepare different concentrations of harvest aid solutions, according to the spraying volume. The physicochemical properties, droplet impact, and spreading and deposition behavior were studied. The results indicated that the four kinds of harvest aids have good physicochemical properties and can be wet and spread on cotton leaves. The surface tension of the high-concentration harvest aid solution (the spraying volume was less than 1.2 L/667 m2) was increased, which increased the contact angle and reduced the adhesion tension, adhesion work, and the spreading area. Once the harvest aid solution systems impacted the cotton leaves, it could spread to the maximum in a short time (10 ms). The field experiment showed that the droplet spectrum of harvest aids changed slightly, the coefficient of variation (CV) did not exceed 50%, and the defoliation rate was better when the spraying volume was 1.5 L/667 m2. The correlation and principal component analysis showed that the spraying volume (concentration) and coverage were negatively correlated with the defoliation rate, while the viscosity, diffusion factor, and spreading rate were positively correlated with the defoliation rate. Overall, the use of appropriate spraying volume application in cotton fields can improve the performance of spray, increase the effective deposition and wetting spread of defoliants on cotton leaves, further reduce the dosage of defoliants, and improve pesticide utilization. These results can provide a theoretical basis for the scientific preparation and spraying of cotton harvest aid solutions.

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Regulating the Entire Journey of Pesticide Application on Surfaces of Hydrophobic Leaves Modified by Pathogens at Different Growth Stages

Cited by 35 publications

References 49 publications

Experimental and Molecular Dynamic Simulation of Droplet Deposition on Superhydrophobic Plant Leaf Surfaces

Experimental and Molecular Dynamic Simulation of Droplet Deposition on Superhydrophobic Plant Leaf Surfaces

Machine Learning to Predict the Interfacial Behavior of Pesticide Droplets on Hydrophobic Surfaces for Minimizing Environmental Risk

Study on Droplet Impact and Spreading and Deposition Behavior of Harvest Aids on Cotton Leaves

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