SpectroGLY：一种低成本、基于物联网的水体草甘膦残留检测生态系统
SpectroGLY: A Low-Cost IoT-Based Ecosystem for the Detection of Glyphosate Residues in Waters
AI总结：
针对水体草甘膦残留检测成本高、流程复杂的问题，研究团队开发了基于IoT的低成本VIS-NIR光谱仪SpectroGLY，支持多场景连接与多平台监测，10分钟即可现场出结果，为草甘膦污染防控提供高效方案。
摘要：
水体中的草甘膦污染正成为亟待解决的重大健康问题，这种高水溶性除草剂的意外喷洒、飘移或泄漏都会对水生生态系统造成影响。研究人员对草甘膦暴露及其对人类健康的风险愈发担忧，因为即使是小剂量的草甘膦也可能造成严重损害。水体中草甘膦残留的检测并非易事，需要复杂昂贵的设备以及专业人员。需要设计和开发基于成熟分析技术的新型技术工具，这些工具还需具备成本效益高、操作便捷、用户友好的特点，可在现场和实验室中使用，并通过连接功能和多平台软件应用提供支持。本文介绍了一款名为SpectroGLY的创新型低成本可见-近红外（VIS-NIR）光谱仪的设计、开发与测试过程，该设备基于物联网（IoT）技术，能够检测水体中潜在的草甘膦污染。SpectroGLY将传统实验室光谱仪的功能理念与物联网技术理念相结合，可集成适用于城乡环境的多种连接选项，以及数字化可视化与监测平台（移动应用和Web仪表盘）。凭借便携性，它可在任何场景下使用，且能在10分钟内给出结果。此外，无需将样本送往实验室（优化了时间、成本，也提升了监管部门采取纠正措施的效率）。简言之，本文提出了一种创新、低成本、便捷且极具前景的解决方案，以避免因摄入被这种除草剂污染的水而可能发生的中毒事件。
英文摘要：
Glyphosate contamination in waters is becoming a major health problem that needs to be urgently addressed, as accidental spraying, drift or leakage of this highly water-soluble herbicide can impact aquatic ecosystems. Researchers are increasingly concerned about exposure to glyphosate and the risks its poses to human health, since it may cause substantial damage, even in small doses. The detection of glyphosate residues in waters is not a simple task, as it requires complex and expensive equipment and qualified personnel. New technological tools need to be designed and developed, based on proven, but also cost-efficient, agile and user-friendly, analytical techniques, which can be used in the field and in the lab, enabled by connectivity and multi-platform software applications. This paper presents the design, development and testing of an innovative low-cost VIS-NIR (Visible and Near-Infrared) spectrometer (called SpectroGLY), based on IoT (Internet of Things) technologies, which allows potential glyphosate contamination in waters to be detected. SpectroGLY combines the functional concept of a traditional lab spectrometer with the IoT technological concept, enabling the integration of several connectivity options for rural and urban settings and digital visualization and monitoring platforms (Mobile App and Dashboard Web). Thanks to its portability, it can be used in any context and provides results in 10 minutes. Additionally, it is unnecessary to transfer the sample to a laboratory (optimizing time, costs and the capacity for corrective actions by the authorities). In short, this paper proposes an innovative, low-cost, agile and highly promising solution to avoid potential intoxications that may occur due to ingestion of water contaminated by this herbicide.
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