Martínez Vidal Jose L, Egea González Francisco J, Garrido Frenich Antonia, Martínez Galera María, Aguilera Pedro A, López Carrique Enrique
Department of Hydrogeology and Analytical Chemistry, University of Almería, 04071 Almería, Spain.
Pest Manag Sci. 2002 Aug;58(8):784-90. doi: 10.1002/ps.524.
Principal component analysis (PCA) was applied to the gas chromatographic data obtained from 23 different greenhouse trials. This was used to establish which factors, including application technique (very small, small, medium and large drop-size), crop characteristics (short/tall, thin/dense) and pattern application of the operator (walking towards or away from the treated area) are relevant to the dermal exposure levels of greenhouse applicators. The results showed that the highest exposure by pesticides during field applications in greenhouses, in the climatic conditions and in the crop conditions typical of a southern European country, occurs on the lower legs and front thighs of the applicators. Similar results were obtained by hierarchical cluster analysis (HCA). Drop-size seems to be very important in determining total exposure, while height and density of crops have little influence on total exposure under the conditions of the present study. No pesticide type is a major factor in total exposure. The application of multiple regression analysis (MRA) allowed assessment of the relationships between the pesticide exposure of the less affected parts of the body with the most affected parts.
主成分分析(PCA)应用于从23个不同温室试验获得的气相色谱数据。这用于确定哪些因素与温室施药者的皮肤暴露水平相关,这些因素包括施药技术(非常小、小、中、大液滴尺寸)、作物特性(矮/高、稀疏/密集)以及施药者的施药模式(走向或远离施药区域)。结果表明,在南欧国家典型的气候条件和作物条件下,温室田间施药期间,施药者小腿和大腿前部的农药暴露量最高。层次聚类分析(HCA)也得到了类似结果。在本研究条件下,液滴尺寸似乎在决定总暴露量方面非常重要,而作物高度和密度对总暴露量影响很小。没有一种农药类型是总暴露量的主要因素。多元回归分析(MRA)的应用使得能够评估身体受影响较小部位与受影响最严重部位的农药暴露之间的关系。