Pesticides play a critical role in improving crop yield in modern agriculture, but their residues significantly harm the environment and human health. Herein, a novel and simple colorimetric sensor array built on sulfuric acid assisted KMnO₄ fading strategy has been developed for pesticides detection and discrimination. This sensor array is facilely fabricated by KMnO₄ and sulfuric acid through simply adjusting their concentrations and ratios. Hierarchical clustering analysis (HCA) demonstrates that the as-fabricated colorimetric sensor array has a high dimensionality, and shows excellent capability to recognize common kinds of pesticides from potential interferants. Semi-quantitative detection was achieved through combining HCA and corresponding fitting curves. Moreover, the proposed sensor array was successfully applied to detect pesticide residues (e.g. carbaryl) in real samples. The strategy described herein will not only “maximally” simplify the design and fabrication approach, but expand the application fields of colorimetric sensor array methodology towards weak-reactive analytes.

在现代农业中，农药在提高农作物产量方面起着关键作用，但其残留物会严重损害环境和人类健康。在本文中，已经开发了一种基于硫酸辅助的KMnO ₄褪色策略的新颖，简单的比色传感器阵列，用于农药的检测和鉴别。该传感器阵列由KMnO ₄轻松制造只需调节其浓度和比例即可获得硫酸和硫酸。层次聚类分析（HCA）表明，所制造的比色传感器阵列具有较高的尺寸，并且具有出色的识别潜在干扰物中常见农药的能力。半定量检测是通过组合HCA和相应的拟合曲线实现的。此外，所提出的传感器阵列已成功应用于检测实际样品中的农药残留（例如西维因）。本文所述的策略将不仅“最大程度地”简化设计和制造方法，而且将比色传感器阵列方法学的应用领域扩展至弱反应性分析物。