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: 8457158
• 负责人: Katherine Andrea Mirica
• 金额: $ 4.92万
• 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/8457158
• 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.

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，该技术可快速且非侵入性地从人体呼吸中检测肺癌。这种设备类似于“电子鼻”，可以从人的呼吸中“闻到”癌症的特征气味。肺癌是世界上最常见的癌症，比任何其他癌症造成更多的死亡。肺癌的早期发现大大提高了患者的生存率（5年内从15%提高到50%）。目前诊断肺癌的方法可能是繁琐的，侵入性的，并且通常在健康状况大幅下降后才能检测到疾病。新的，强大的，简单的方法来检测肺癌是必要的，以降低这种疾病的死亡率。检测肺癌的一种有希望的非侵入性方法依赖于检查呼出空气的化学成分。研究人员证明，狗可以通过闻从疾病的各个阶段的患者获得的呼出气体来识别肺癌，准确率为99%。研究人员还确定了肺癌患者呼出的空气中存在的化学物质的特定模式，这些模式与健康人不同。一种能够将呼出气体的化学成分与早期肺癌联系起来的技术有可能提高这种疾病患者的生存率。本研究的目的是制作一个由五个传感器组成的阵列来识别模式 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，剩下的一种将有助于区分肺癌和其他类型的呼吸系统疾病。阵列的每个组件包括一束碳纳米管，其被设计用于捕获特定挥发性分析物的受体功能化，位于两个电极之间。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率;电导率的这种变化与人类呼吸中挥发性分析物的量相关。最终，我们希望这种方法将是简单的，敏感的，足够便宜的早期诊断肺癌，并为常规监测已诊断为肺癌的患者的疾病进展。