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High Sensitivity Nano Particle Films for Diagnosing Lung Cancer in Exhaled Breath

IP.com Disclosure Number: IPCOM000201683D
Original Publication Date: 2010-Nov-18
Included in the Prior Art Database: 2010-Nov-18
Document File: 5 page(s) / 247K

Publishing Venue

Siemens

Related People

Juergen Carstens: CONTACT

Abstract

Conventional diagnostic methods for lung cancer, such as pathological slicing and computer tomography (CT), are expensive and occasionally miss tumors. Therefore, they are unsuitable for widespread screening and early-stage detection. On the other hand, it is very important to track early-stage lung cancer and provide proper treatment due to its positive impact on survival rates. Breath testing is a fast, non-invasive method that links specific organic compounds with lung cancer cells. 22 volatile organic compounds (VOCs) are identified as markers of lung cancer cells. In their study, however, the identification of the VOCs required a large-scale gas chromatograph instrument. Currently, gas chromatography/mass spectrometry (GC/MS), ion flow tube mass spectrometry, laser absorption spectrometry, infrared spectroscopy, polymer-coated surface acoustic wave sensors, and coated quartz crystal microbalance sensors have been used for such purposes. However, these techniques are still expensive, slow, complex, and often require pre-concentration.

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High Sensitivity Nano Particle Films for Diagnosing Lung Cancer in Exhaled Breath

Idea: Fangjie Pamg, CN-Shanghai; Xin, Guo, PhD, CN-Shanghai; Zhaohui Du, PhD, CN-Shanghai

Conventional diagnostic methods for lung cancer, such as pathological slicing and computer tomography (CT), are expensive and occasionally miss tumors. Therefore, they are unsuitable for widespread screening and early-stage detection. On the other hand, it is very important to track early- stage lung cancer and provide proper treatment due to its positive impact on survival rates.

Breath testing is a fast, non-invasive method that links specific organic compounds with lung cancer cells. 22 volatile organic compounds (VOCs) are identified as markers of lung cancer cells. In their study, however, the identification of the VOCs required a large-scale gas chromatograph instrument. Currently, gas chromatography/mass spectrometry (GC/MS), ion flow tube mass spectrometry, laser absorption spectrometry, infrared spectroscopy, polymer-coated surface acoustic wave sensors, and coated quartz crystal microbalance sensors have been used for such purposes. However, these techniques are still expensive, slow, complex, and often require pre-concentration.

There are many simple, inexpensive, non-invasive sensing technologies, based on gas sensor arrays. Gas sensor arrays are composed of a quartz microbalance (QMB) that is used to detect the VOCs in the exhaled gas of the lung cancer patients. However, the QMB has low sensitivity. It is also difficult to find metal porphyrin thin films with different selectivity to build a large-scale QMB sensor array. An e- nose, based on a virtual array of surface acoustic waves was recently proposed to distinguish the breath of lung cancer patients from that of healthy people. However, the signal transduction mechanism involves somewhat complicated electronics, requiring frequency measurement to 1Hz while sustaining a 100MHz Rayleigh wave in the crystal. This technology is also limited by its sensitivity and therefore can not distinguish early stage lung cancer.

A chemiresistor-based sensor array combined with pattern recognition methods is also an inexpensive and non-invasive sensing technology. It might be able to screen for early-stage lung cancer because of its resistance sensitivity under different VOCs concentration and, thereby, potentially facilitate higher cure rates. Pattern recognition methods can be applied to the multidimensional set of signals to obtain information about the identity, properties, and concentration of the vapor exposed to the sensor array.

A chemiresistor consists of nanoparticles (see Figure 1), which have a higher sensitivity than those of bulk materials do. Its sensitivity is due to nanoparticles' large surface-to-bulk ratio. The percentage of atoms at the surface increases significantly as the si...