农药喷洒是病虫草害化学防治的关键手段。高效的配方设计和精准施用是一项系统工程挑战，涉及配方化学、施用技术和农艺实践的整合。雾滴尺寸分布由制剂在雾化过程中的物理化学性质决定，直接影响沉积效率、飘移风险和防控效果。现有雾化描述参数（如体积中值直径（Volume Median Diameter，VMD）、Sauter平均直径D32、相对分布跨度（Relative Span，RS）等）难以定量关联药剂理化特性与生物最佳防治粒径的需求。因此，亟需构建基于药液理化特性与最佳防治粒径的综合雾化质量指数。为填补这一空白，本研究选取扩散比（Relative Diffusion ratio，RD）、RS、分形维数（Fractal Dimension，FD）、易飘移雾滴占比（V150，直径≤150 μm）及体积中值直径（Dv0.5）五个雾化特性参数，构建雾化桥接指数（Atomization Bridging Index，ABI），实现了对雾化质量的综合量化评价。分析发现，ABI 与药液的理化特性高度相关，聚合物–表面活性剂形成的“胶束–聚合物”复合物，通过同时降低动态表面张力并提升黏度，显著优化了ABI值。评价结果显示，缔合型 PEO/SDS 体系在不同喷雾压力范围内均表现优异，特别是1CMC PEO/SDS体系在250 kPa下ABI值达到峰值并处于 I 级，因此被推荐为施药的首选体系。ABI作为基于药液理化特性与多变量喷雾指标的雾化质量指数，可为助剂关键理化参数确定提供依据。

Pesticide spraying is a primary approach for the chemical management of pests, diseases, and weeds. The efficient design of formulations and their accurate application constitute a systems engineering problem that combines formulation chemistry, application technology, and agronomic practice. The droplet size distribution (DSD), which is determined by the physicochemical properties of the formulation during atomization, has a direct influence on deposition efficiency, drift potential, and control performance. Conventional atomization indicators, such as volume median diameter (VMD), Sauter mean diameter (D₃₂), and relative span (RS), do not adequately provide a quantitative connection between the physicochemical properties of formulations and the droplet size spectrum needed for effective biological control. A comprehensive atomization quality index that incorporates formulation properties and the optimal droplet size is therefore urgently required. To fill this gap, five atomization parameters, relative diffusion ratio (RD), RS, fractal dimension (FD), drift droplet proportion (V₁₅₀, ≤ 150 μm diameter), and D_v0.5 (also referred to as the VMD), were chosen to construct the atomization bridging index (ABI). The ABI allows a comprehensive quantitative assessment of atomization quality and shows a strong correlation with the physicochemical microstructure of the formulation. The analysis indicates that micelle-polymer complexes generated through polymer-surfactant interactions markedly improve the ABI by jointly lowering dynamic surface tension (DST) and increasing viscosity. The evaluation findings show that the associative polyethylene oxide (PEO)/sodium dodecyl sulfate (SDS) system demonstrates outstanding performance over a broad pressure range. At 250 kPa, the PEO/SDS system at 1× the critical micelle concentration (CMC) reaches the highest ABI value, corresponding to the Class I category, and is therefore recommended as the optimal spraying system. Overall, ABI establishes a robust physicochemical-spray linkage framework and provides new guidance for identifying key formulation parameters in pesticide adjuvant design.