Array of Resistive Sensors for Detecting Lung Cancer in Exhaled Air

用于检测呼出空气中肺癌的电阻传感器阵列

• 批准号: 8314276
• 负责人: Katherine Andrea Mirica
• 金额: $ 4.71万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-03-15 至 2015-03-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8314276
• 关键词: Acetone; Air; Benzene; Binding; Cancer Patient; Canis familiaris; Carbon Nanotubes; Cessation of life; Characteristics; Chemicals; Complex Mixtures; Detection; Development; Devices; Diagnosis; Disease; Disease Progression; Early Diagnosis; Electrodes; Electronics; Exhalation; Goals; Health; Human; Individual; Isoprene; Isopropanol; Malignant Neoplasms; Malignant neoplasm of lung; Methods; Modification; Monitor; Nanotubes; Non-Invasive Cancer Detection; Nose; Odors; Patients; Pattern; Persons; Positioning Attribute; Research; Research Personnel; Respiration Disorders; Signal Transduction; Smell Perception; Staging; Surface; Survival Rate; Techniques; Technology; Time; Training; breath composition; cost; cost effective; design; improved; lung cancer screening; molecular marker; mortality; receptor; sensor

DESCRIPTION (provided by applicant): This proposal describes a simple, portable, and cost-effective technique that detects lung cancer from human breath rapidly and non-invasively. This device is akin to an "electronic nose" that "smells" the characteristic odor of cancer from a person's breath. Lung cancer is the most common cancer worldwide and causes more deaths than any other cancer. Early detection of lung cancer drastically improves the rate of survival of patients (from 15 to 50 % over 5 years). Current methods for diagnosing lung cancer can be cumbersome, invasive, and often detect the disease after a substantial decline in health has occurred. New, robust, and simple methods for detecting lung cancer are necessary for reducing the mortality from this disease. A promising, non-invasive approach for detecting lung cancer relies on examining the chemical composition of exhaled air. Researchers demonstrated that dogs can be trained to recognize lung cancer with 99% accuracy by smelling exhaled air obtained from patients at all stages of the disease. Researchers have also identified specific patterns of chemicals present in exhaled air of lung cancer patients that are distinct from those of healthy humans. A technique capable of correlating the chemical composition of exhaled air with early-stage lung cancer has the potential to improve the rate of survival of patients with thi disease. The goal of this research is to make an array of five sensors for identifying the pattern of five distinct chemicals in human breath. The presence of four of these chemicals will indicate lung cancer and the remaining one will help differentiate lung cancer from other types of respiratory disorders. Each component of an array comprises a bundle of carbon nanotubes-functionalized with receptors designed to capture a specific volatile analyte-positioned between two electrodes. The binding of the analyte to the receptor on the surface of the nanotube alters the conductance across the array of nanotubes; this change in conductance correlates with the amount of volatile analyte in human breath. Ultimately, we hope that this method will be simple, sensitive, and inexpensive enough for early diagnosis of lung cancer, and for routine monitoring of the progress of disease in patients already diagnosed with lung cancer. PUBLIC HEALTH RELEVANCE: Current methods for detecting and diagnosing lung cancer can be invasive, cumbersome, time-consuming, and expensive. The immediate goal of this proposal is to develop a simple, sensitive, portable, and low-cost device for early, non-invasive detection of lung cancer from exhaled air that overcomes the hurdles of current technologies. This device may ultimately find applications in routine screening for lung cancer and can be used to monitor the progression of the disease after initial diagnosis.

描述（由申请人提供）：该提案描述了一种简单、便携且具有成本效益的技术，可以快速、非侵入性地从人类呼吸中检测肺癌。该设备类似于“电子鼻”，可以从人的呼吸中“闻到”癌症的特征气味。 肺癌是全世界最常见的癌症，导致的死亡人数比任何其他癌症都要多。肺癌的早期发现可以极大地提高患者的生存率（5 年内从 15% 提高到 50%）。目前诊断肺癌的方法可能很麻烦、具有侵入性，并且通常在健康状况大幅下降后才发现该疾病。检测肺癌的新的、可靠的、简单的方法对于降低这种疾病的死亡率是必要的。 一种有前途的非侵入性肺癌检测方法依赖于检查呼出空气的化学成分。研究人员证明，可以训练狗通过闻不同疾病阶段患者呼出的空气来识别肺癌，准确率高达 99%。研究人员还发现肺癌患者呼出的空气中存在与健康人不同的化学物质的特定模式。一种能够将呼出气体的化学成分与早期肺癌相关联的技术有可能提高患有这种疾病的患者的生存率。 这项研究的目标是制作一个由五个传感器组成的阵列来识别模式 人类呼吸中五种不同的化学物质。其中四种化学物质的存在将表明肺癌，其余一种化学物质将有助于区分肺癌与其他类型的呼吸系统疾病。阵列的每个组件都包含一束碳纳米管，这些碳纳米管通过受体进行功能化，旨在捕获位于两个电极之间的特定挥发性分析物。分析物与纳米管表面受体的结合改变了纳米管阵列的电导；这种电导的变化与人类呼吸中挥发性分析物的含量相关。最终，我们希望这种方法简单、灵敏且便宜，足以用于肺癌的早期诊断，以及对已诊断为肺癌的患者疾病进展的常规监测。 公共健康相关性：目前检测和诊断肺癌的方法可能是侵入性的、繁琐的、耗时的且昂贵的。该提案的直接目标是开发一种简单、灵敏、便携式和低成本的设备，用于从呼出的空气中早期、无创地检测肺癌，克服当前技术的障碍。该设备最终可能会应用于肺癌的常规筛查，并可用于在初步诊断后监测疾病的进展。