The increased use of pesticides across the globe has a major impact on public health. Advanced sensing methods are considered of significant importance to ensure that pesticide use on agricultural products remains within safety limits. This study presents the experimental testing of a hybrid, nanomaterial based gas-sensing array, for the detection of a commercial organophosphate pesticide, towards its integration in a holistic smart-farming tool such as the “gaiasense” system. The sensing array utilizes nanoparticles (NPs) as the conductive layer of the device while four distinctive polymeric layers (superimposed on top of the NP layer) act as the gas-sensitive layer. The sensing array is ultimately called to discern between two gas-analytes: Chloract 48 EC (a chlorpyrifos based insecticide) and Relative Humidity (R.H.) which acts as a reference analyte since is anticipated to be present in real-field conditions. The unique response patterns generated after the exposure of the sensing-array to the two gas-analytes were analysed using a common statistical analysis tool, namely Principal Component Analysis (PCA). PCA has validated the ability of the array to detect, quantify as well as to differentiate between R.H. and Chloract. The sensing array being compact, low-cost and highly sensitive (LOD in the order of ppb for chlorpyrifos) can be effectively integrated with pre-existing crop-monitoring solutions such as the gaiasense.

中文翻译：

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智能农业范围内自动化和实时农药检测的传感方法

全球范围内农药使用的增加对公众健康产生了重大影响。先进的传感方法被认为对于确保农产品上的农药使用保持在安全范围内具有重要意义。本研究介绍了基于混合纳米材料的气敏阵列的实验测试，用于检测商业有机磷农药，并将其集成到整体智能农业工具中，例如“gaiasense”系统。传感阵列利用纳米颗粒 (NP) 作为设备的导电层，而四个独特的聚合物层（叠加在 NP 层的顶部）作为气敏层。传感阵列最终被用来区分两种气体分析物：Chloract 48 EC（一种基于毒死蜱的杀虫剂）和相对湿度（RH ) 作为参考分析物，因为预计会出现在实际现场条件中。使用常见的统计分析工具，即主成分分析 (PCA)，分析传感阵列暴露于两种气体分析物后产生的独特响应模式。PCA 已验证阵列检测、量化以及区分 RH 和 Chloract 的能力。紧凑、低成本和高灵敏度的传感阵列（毒死蜱的 LOD 为 ppb 级）可以有效地与预先存在的作物监测解决方案（如 gaiasense）集成。即主成分分析（PCA）。PCA 已验证阵列检测、量化以及区分 RH 和 Chloract 的能力。紧凑、低成本和高灵敏度的传感阵列（毒死蜱的 LOD 为 ppb 级）可以有效地与预先存在的作物监测解决方案（如 gaiasense）集成。即主成分分析（PCA）。PCA 已验证阵列检测、量化以及区分 RH 和 Chloract 的能力。紧凑、低成本和高灵敏度的传感阵列（毒死蜱的 LOD 为 ppb 级）可以有效地与预先存在的作物监测解决方案（如 gaiasense）集成。