(PhysOrg.com) -- In 2006 researchers established that dogs could detect a cancer smell by sniffing the exhaled breath of cancer patients. Now, using nanoscale arrays of detectors, two groups of investigators have shown that a compact mechanical device also can sniff out lung cancer in humans.
Hossam Haick, Ph.D., and his colleagues at the Israel Institute of Technology in Haifa, used a network of 10 sets of chemically modified carbon nanotubes to create a multicomponent sensor capable of discriminating between a healthy breath and one characteristic of lung cancer patients. This work appears in the journal Nano News. Meanwhile, Silvano Dragonieri, M.D., University of Bari, Italy, and his colleagues used a commercial nanoarray-based electronic “nose” to discriminate between the breath of patients with non-small cell lung cancer and chronic obstructive pulmonary disease (COPD). These results appear in the journal Lung Cancer.
The key development in Dr. Haick’s team’s work demonstrated that the electrical resistance of carbon nanotubes coated with nonpolymeric organic layers changes substantially when nonpolar organic molecules, such as those present in a breath, pass over the nanotubes. Uncoated nanotubes do not respond strongly to the type of nonpolar molecules found in the human breath.
Using 10 different organic coatings, the investigators created field-effect transistors comprising random networks of each of the different coated nanotubes, and the resulting array produces a characteristic change in electrical output when exposed to volatile nonpolar organic substances. A computational technique known as principal component analysis can decipher the complex signal change produced when mixtures of nonpolar organic molecules pass over the sensor network. When plotted in two dimensions, the data from a simulated set of “healthy” and “lung cancer” patients form two clear clusters that readily distinguish the two sets of patients. The investigators also showed that their device could identify healthy rats from those with chronic kidney failure.
Rather than designing their own device, Dr. Dragonieri’s group used a Cyranose 320 built by Smiths Detection based in Pasadena, California. This hand-held electronic nose, which is used widely throughout the chemical and food processing industries, employs a nanocomposite sensor array to rapidly detect volatile organic compounds in the air.
In this study, Dr. Dragonieri’s team collected breath samples from 10 patients with NSCLC, 10 with COPD, and 10 healthy controls. After drying the samples, the investigators analyzed them using the Cyranose 320 and its onboard statistical software. Smellprints, analogous to fingerprints, from the three groups of patients were clearly distinguishable, with no ambiguity among the three groups. The investigators note that these results warrant conducting a large-scale, prospective clinical trial to determine whether this system could be useful in real clinical settings, including physician offices.
The results of Dr. Haick’s team’s work appear in the paper “Detection of nonpolar molecules by means of carrier scattering in random networks of carbon nanotubes: Toward diagnosis of diseases via breath samples.” An abstract of this paper is available at the journal’s Web site.
Dr. Dragnieri and his colleagues published their work in the paper “An electronic nose in the discrimination of patients with non-small cell cancer and COPD.” Investigators from the Leiden University Medical Center and the University of Amsterdam in The Netherlands, as well as from the Fondazione Salvatore Maugeri in Cassano delle Murge, Italy, contributed to this work. An abstract of this paper is available at the journal’s Web site.
Provided by National Cancer Institute
Hossam Haick, Ph.D., and
his colleagues at the Israel Institute of Technology in Haifa, used a
network of 10 sets of chemically modified carbon nanotubes to create a
multicomponent sensor capable of discriminating between a healthy breath
and one characteristic of lung cancer patients. This work appears in
the journal Nano News. Meanwhile, Silvano Dragonieri, M.D., University
of Bari, Italy, and his colleagues used a commercial nanoarray-based
electronic “nose” to discriminate between the breath of patients with
non-small cell lung cancer and chronic obstructive pulmonary disease
(COPD). These results appear in the journal Lung Cancer.
The key development in Dr. Haick’s team’s work demonstrated that the
electrical resistance of carbon nanotubes coated with nonpolymeric
organic layers changes substantially when nonpolar organic molecules,
such as those present in a breath, pass over the nanotubes. Uncoated
nanotubes do not respond strongly to the type of nonpolar molecules
found in the human breath.
Using 10 different organic coatings, the investigators created
field-effect transistors comprising random networks of each of the
different coated nanotubes, and the resulting array produces a
characteristic change in electrical output when exposed to volatile
nonpolar organic substances. A computational technique known as
principal component analysis can decipher the complex signal change
produced when mixtures of nonpolar organic molecules pass over the
sensor network. When plotted in two dimensions, the data from a
simulated set of “healthy” and “lung cancer” patients form two clear
clusters that readily distinguish the two sets of patients. The
investigators also showed that their device could identify healthy rats
from those with chronic kidney failure.
Rather than designing their own device, Dr. Dragonieri’s group used a
Cyranose 320 built by Smiths Detection based in Pasadena, California.
This hand-held electronic nose, which is used widely throughout the
chemical and food processing industries, employs a nanocomposite sensor
array to rapidly detect volatile organic compounds in the air.
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In this study, Dr. Dragonieri’s team collected breath samples from 10
patients with NSCLC, 10 with COPD, and 10 healthy controls. After drying
the samples, the investigators analyzed them using the Cyranose 320 and
its onboard statistical software. Smellprints, analogous to
fingerprints, from the three groups of patients were clearly
distinguishable, with no ambiguity among the three groups. The
investigators note that these results warrant conducting a large-scale,
prospective clinical trial to determine whether this system could be
useful in real clinical settings, including physician offices.
The results of Dr. Haick’s team’s work appear in the paper “Detection of
nonpolar molecules by means of carrier scattering in random networks of
carbon nanotubes: Toward diagnosis of diseases via breath samples.” An
abstract of this paper is available at the journal’s Web site.
Dr. Dragnieri and his colleagues published their work in the paper “An
electronic nose in the discrimination of patients with non-small cell
cancer and COPD.” Investigators from the Leiden University Medical
Center and the University of Amsterdam in The Netherlands, as well as
from the Fondazione Salvatore Maugeri in Cassano delle Murge, Italy,
contributed to this work. An abstract of this paper is available at the
journal’s Web site.
Provided by National Cancer Institute (news : web)
Read more at: http://phys.org/news160065741.html#jCp
Read more at: http://phys.org/news160065741.html#jCp
Hossam Haick, Ph.D., and
his colleagues at the Israel Institute of Technology in Haifa, used a
network of 10 sets of chemically modified carbon nanotubes to create a
multicomponent sensor capable of discriminating between a healthy breath
and one characteristic of lung cancer patients. This work appears in
the journal Nano News. Meanwhile, Silvano Dragonieri, M.D., University
of Bari, Italy, and his colleagues used a commercial nanoarray-based
electronic “nose” to discriminate between the breath of patients with
non-small cell lung cancer and chronic obstructive pulmonary disease
(COPD). These results appear in the journal Lung Cancer.
The key development in Dr. Haick’s team’s work demonstrated that the
electrical resistance of carbon nanotubes coated with nonpolymeric
organic layers changes substantially when nonpolar organic molecules,
such as those present in a breath, pass over the nanotubes. Uncoated
nanotubes do not respond strongly to the type of nonpolar molecules
found in the human breath.
Using 10 different organic coatings, the investigators created
field-effect transistors comprising random networks of each of the
different coated nanotubes, and the resulting array produces a
characteristic change in electrical output when exposed to volatile
nonpolar organic substances. A computational technique known as
principal component analysis can decipher the complex signal change
produced when mixtures of nonpolar organic molecules pass over the
sensor network. When plotted in two dimensions, the data from a
simulated set of “healthy” and “lung cancer” patients form two clear
clusters that readily distinguish the two sets of patients. The
investigators also showed that their device could identify healthy rats
from those with chronic kidney failure.
Rather than designing their own device, Dr. Dragonieri’s group used a
Cyranose 320 built by Smiths Detection based in Pasadena, California.
This hand-held electronic nose, which is used widely throughout the
chemical and food processing industries, employs a nanocomposite sensor
array to rapidly detect volatile organic compounds in the air.
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In this study, Dr. Dragonieri’s team collected breath samples from 10
patients with NSCLC, 10 with COPD, and 10 healthy controls. After drying
the samples, the investigators analyzed them using the Cyranose 320 and
its onboard statistical software. Smellprints, analogous to
fingerprints, from the three groups of patients were clearly
distinguishable, with no ambiguity among the three groups. The
investigators note that these results warrant conducting a large-scale,
prospective clinical trial to determine whether this system could be
useful in real clinical settings, including physician offices.
The results of Dr. Haick’s team’s work appear in the paper “Detection of
nonpolar molecules by means of carrier scattering in random networks of
carbon nanotubes: Toward diagnosis of diseases via breath samples.” An
abstract of this paper is available at the journal’s Web site.
Dr. Dragnieri and his colleagues published their work in the paper “An
electronic nose in the discrimination of patients with non-small cell
cancer and COPD.” Investigators from the Leiden University Medical
Center and the University of Amsterdam in The Netherlands, as well as
from the Fondazione Salvatore Maugeri in Cassano delle Murge, Italy,
contributed to this work. An abstract of this paper is available at the
journal’s Web site.
Provided by National Cancer Institute (news : web)
Read more at: http://phys.org/news160065741.html#jCp
Read more at: http://phys.org/news160065741.html#jCp
Hossam Haick, Ph.D., and
his colleagues at the Israel Institute of Technology in Haifa, used a
network of 10 sets of chemically modified carbon nanotubes to create a
multicomponent sensor capable of discriminating between a healthy breath
and one characteristic of lung cancer patients. This work appears in
the journal Nano News. Meanwhile, Silvano Dragonieri, M.D., University
of Bari, Italy, and his colleagues used a commercial nanoarray-based
electronic “nose” to discriminate between the breath of patients with
non-small cell lung cancer and chronic obstructive pulmonary disease
(COPD). These results appear in the journal Lung Cancer.
The key development in Dr. Haick’s team’s work demonstrated that the
electrical resistance of carbon nanotubes coated with nonpolymeric
organic layers changes substantially when nonpolar organic molecules,
such as those present in a breath, pass over the nanotubes. Uncoated
nanotubes do not respond strongly to the type of nonpolar molecules
found in the human breath.
Using 10 different organic coatings, the investigators created
field-effect transistors comprising random networks of each of the
different coated nanotubes, and the resulting array produces a
characteristic change in electrical output when exposed to volatile
nonpolar organic substances. A computational technique known as
principal component analysis can decipher the complex signal change
produced when mixtures of nonpolar organic molecules pass over the
sensor network. When plotted in two dimensions, the data from a
simulated set of “healthy” and “lung cancer” patients form two clear
clusters that readily distinguish the two sets of patients. The
investigators also showed that their device could identify healthy rats
from those with chronic kidney failure.
Rather than designing their own device, Dr. Dragonieri’s group used a
Cyranose 320 built by Smiths Detection based in Pasadena, California.
This hand-held electronic nose, which is used widely throughout the
chemical and food processing industries, employs a nanocomposite sensor
array to rapidly detect volatile organic compounds in the air.
Ads by Google
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In this study, Dr. Dragonieri’s team collected breath samples from 10
patients with NSCLC, 10 with COPD, and 10 healthy controls. After drying
the samples, the investigators analyzed them using the Cyranose 320 and
its onboard statistical software. Smellprints, analogous to
fingerprints, from the three groups of patients were clearly
distinguishable, with no ambiguity among the three groups. The
investigators note that these results warrant conducting a large-scale,
prospective clinical trial to determine whether this system could be
useful in real clinical settings, including physician offices.
The results of Dr. Haick’s team’s work appear in the paper “Detection of
nonpolar molecules by means of carrier scattering in random networks of
carbon nanotubes: Toward diagnosis of diseases via breath samples.” An
abstract of this paper is available at the journal’s Web site.
Dr. Dragnieri and his colleagues published their work in the paper “An
electronic nose in the discrimination of patients with non-small cell
cancer and COPD.” Investigators from the Leiden University Medical
Center and the University of Amsterdam in The Netherlands, as well as
from the Fondazione Salvatore Maugeri in Cassano delle Murge, Italy,
contributed to this work. An abstract of this paper is available at the
journal’s Web site.
Provided by National Cancer Institute (news : web)
Read more at: http://phys.org/news160065741.html#jCp
Read more at: http://phys.org/news160065741.html#jCp
Hossam Haick, Ph.D., and
his colleagues at the Israel Institute of Technology in Haifa, used a
network of 10 sets of chemically modified carbon nanotubes to create a
multicomponent sensor capable of discriminating between a healthy breath
and one characteristic of lung cancer patients. This work appears in
the journal Nano News. Meanwhile, Silvano Dragonieri, M.D., University
of Bari, Italy, and his colleagues used a commercial nanoarray-based
electronic “nose” to discriminate between the breath of patients with
non-small cell lung cancer and chronic obstructive pulmonary disease
(COPD). These results appear in the journal Lung Cancer.
The key development in Dr. Haick’s team’s work demonstrated that the
electrical resistance of carbon nanotubes coated with nonpolymeric
organic layers changes substantially when nonpolar organic molecules,
such as those present in a breath, pass over the nanotubes. Uncoated
nanotubes do not respond strongly to the type of nonpolar molecules
found in the human breath.
Using 10 different organic coatings, the investigators created
field-effect transistors comprising random networks of each of the
different coated nanotubes, and the resulting array produces a
characteristic change in electrical output when exposed to volatile
nonpolar organic substances. A computational technique known as
principal component analysis can decipher the complex signal change
produced when mixtures of nonpolar organic molecules pass over the
sensor network. When plotted in two dimensions, the data from a
simulated set of “healthy” and “lung cancer” patients form two clear
clusters that readily distinguish the two sets of patients. The
investigators also showed that their device could identify healthy rats
from those with chronic kidney failure.
Rather than designing their own device, Dr. Dragonieri’s group used a
Cyranose 320 built by Smiths Detection based in Pasadena, California.
This hand-held electronic nose, which is used widely throughout the
chemical and food processing industries, employs a nanocomposite sensor
array to rapidly detect volatile organic compounds in the air.
Ads by Google
$0.01 Web Hosting - Scalable, Secure Web Hosting. Try Our Award-Winning
Service Now! - www.HostGator.com/1Penny
In this study, Dr. Dragonieri’s team collected breath samples from 10
patients with NSCLC, 10 with COPD, and 10 healthy controls. After drying
the samples, the investigators analyzed them using the Cyranose 320 and
its onboard statistical software. Smellprints, analogous to
fingerprints, from the three groups of patients were clearly
distinguishable, with no ambiguity among the three groups. The
investigators note that these results warrant conducting a large-scale,
prospective clinical trial to determine whether this system could be
useful in real clinical settings, including physician offices.
The results of Dr. Haick’s team’s work appear in the paper “Detection of
nonpolar molecules by means of carrier scattering in random networks of
carbon nanotubes: Toward diagnosis of diseases via breath samples.” An
abstract of this paper is available at the journal’s Web site.
Dr. Dragnieri and his colleagues published their work in the paper “An
electronic nose in the discrimination of patients with non-small cell
cancer and COPD.” Investigators from the Leiden University Medical
Center and the University of Amsterdam in The Netherlands, as well as
from the Fondazione Salvatore Maugeri in Cassano delle Murge, Italy,
contributed to this work. An abstract of this paper is available at the
journal’s Web site.
Provided by National Cancer Institute (news : web)
Read more at: http://phys.org/news160065741.html#jCp
Read more at: http://phys.org/news160065741.html#jCp
Hossam Haick, Ph.D., and
his colleagues at the Israel Institute of Technology in Haifa, used a
network of 10 sets of chemically modified carbon nanotubes to create a
multicomponent sensor capable of discriminating between a healthy breath
and one characteristic of lung cancer patients. This work appears in
the journal Nano News. Meanwhile, Silvano Dragonieri, M.D., University
of Bari, Italy, and his colleagues used a commercial nanoarray-based
electronic “nose” to discriminate between the breath of patients with
non-small cell lung cancer and chronic obstructive pulmonary disease
(COPD). These results appear in the journal Lung Cancer.
The key development in Dr. Haick’s team’s work demonstrated that the
electrical resistance of carbon nanotubes coated with nonpolymeric
organic layers changes substantially when nonpolar organic molecules,
such as those present in a breath, pass over the nanotubes. Uncoated
nanotubes do not respond strongly to the type of nonpolar molecules
found in the human breath.
Using 10 different organic coatings, the investigators created
field-effect transistors comprising random networks of each of the
different coated nanotubes, and the resulting array produces a
characteristic change in electrical output when exposed to volatile
nonpolar organic substances. A computational technique known as
principal component analysis can decipher the complex signal change
produced when mixtures of nonpolar organic molecules pass over the
sensor network. When plotted in two dimensions, the data from a
simulated set of “healthy” and “lung cancer” patients form two clear
clusters that readily distinguish the two sets of patients. The
investigators also showed that their device could identify healthy rats
from those with chronic kidney failure.
Rather than designing their own device, Dr. Dragonieri’s group used a
Cyranose 320 built by Smiths Detection based in Pasadena, California.
This hand-held electronic nose, which is used widely throughout the
chemical and food processing industries, employs a nanocomposite sensor
array to rapidly detect volatile organic compounds in the air.
Ads by Google
$0.01 Web Hosting - Scalable, Secure Web Hosting. Try Our Award-Winning
Service Now! - www.HostGator.com/1Penny
In this study, Dr. Dragonieri’s team collected breath samples from 10
patients with NSCLC, 10 with COPD, and 10 healthy controls. After drying
the samples, the investigators analyzed them using the Cyranose 320 and
its onboard statistical software. Smellprints, analogous to
fingerprints, from the three groups of patients were clearly
distinguishable, with no ambiguity among the three groups. The
investigators note that these results warrant conducting a large-scale,
prospective clinical trial to determine whether this system could be
useful in real clinical settings, including physician offices.
The results of Dr. Haick’s team’s work appear in the paper “Detection of
nonpolar molecules by means of carrier scattering in random networks of
carbon nanotubes: Toward diagnosis of diseases via breath samples.” An
abstract of this paper is available at the journal’s Web site.
Dr. Dragnieri and his colleagues published their work in the paper “An
electronic nose in the discrimination of patients with non-small cell
cancer and COPD.” Investigators from the Leiden University Medical
Center and the University of Amsterdam in The Netherlands, as well as
from the Fondazione Salvatore Maugeri in Cassano delle Murge, Italy,
contributed to this work. An abstract of this paper is available at the
journal’s Web site.
Provided by National Cancer Institute (news : web)
Read more at: http://phys.org/news160065741.html#jCp
Read more at: http://phys.org/news160065741.html#jCp
