Oxidative Stress Biosensor for Breath-Based Environmental Monitoring

项目总结/摘要 本申请旨在开发一种非侵入性和实用的光学传感器技术，以监测和 量化氧化健康。氧化应激（OS）是一种生化失衡，其中反应性代谢产物的产生， 氧物种超过了系统的抗氧化能力。无法修复或含有累积氧化 损伤可能是许多急性和慢性疾病的发病机制，包括心血管疾病 和肾脏疾病、炎症反应、神经变性疾病和致癌作用。一种非侵入性的， 能够评估和监测全身氧化应激的廉价、耐用的传感器将是一种工具， 这对公共卫生官员、临床医生和个人消费者都有很大的价值，因为许多环境保护组织 条件和异生物质（例如，城市空气污染，重金属污染，内分泌干扰 化合物、杀虫剂和工业化学品）引发氧化应激。因为没有普遍的 OS的生物标志物，并且有许多潜在的靶分子，开发一种能够 检测许多化学成分，并创建一个化学指纹， 与环境压力有关的途径。iSense，LLC开发了一种新型传感器阵列， 在ppb级浓度下检测跨多个化学部分的大量挥发性化合物库。的 该技术快速、廉价，并且能够区分单一分析物和复杂混合物。 我们的呼吸传感器已被用于检测肺癌患者的生物特征， 不同类型的肺癌。这个项目的第一阶段将测试、改进和优化这个呼吸 分析技术，以检测和识别氧化应激的关键生物标志物。成功 这项工作的完成将建立必要的基础化学，以开发一种测量和 了解环境暴露的标志。

PROJECT SUMMARY/ABSTRACT This application seeks to develop a non-invasive and practical optical sensor technology to monitor and quantify oxidative health. Oxidative stress (OS) is a biochemical imbalance in which production of reactive oxygen species exceeds the system’s antioxidant capacity. Failure to repair or contain cumulative oxidative damage is likely responsible for the pathogenesis of many acute and chronic illnesses, including cardiovascular and kidney disease, inflammatory responses, neurodegenerative disorders, and carcinogenesis. A noninvasive, inexpensive, robust sensor capable of evaluating and monitoring systemic oxidative stress would be a tool of great value to public health officials, clinicians, and individual consumers since many environmental conditions and xenobiotics (e.g., urban air pollution, heavy metal contamination, endocrine disrupting compounds, pesticides, and industrial chemicals) trigger oxidative stress. Because there is no universal biomarker for OS and there are many potential target molecules, it’s critical to develop a system that is capable of detecting many chemical components and creating a chemical fingerprint that reflects alterations in key pathways associated with environmental stressors. iSense, LLC has developed a novel sensor array that can detect a vast library of volatile compounds across multiple chemical moieties at ppb-level concentrations. The technology is rapid, inexpensive, and capable of distinguishing between single analytes and complex mixtures. Our breath sensor has been used to detect the biosignature of lung cancer patients and differentiate between different types of lung cancer in humans. Phase I of this project will test, improve, and optimize this breath analysis technology towards the detection and identification of key biomarkers of oxidative stress. Successful completion of this work will establish the fundamental chemistry necessary to develop a device to measure and understand markers of environmental exposure.