Abstract
Exhaled breath testing is becoming an increasingly important non-invasive diagnostic method that can be used in the evaluation of health and disease states in the lung and beyond. Potential advantages of breath tests over other conventional medical tests include their non-invasive nature, low cost, and safety. To advance in this area further, however, there has to be a close collaboration between technical experts and engineers who have devices looking for clinical application(s), the medical experts who have the clinical problems looking for a test/biomarker that can be helpful in diagnosis or monitoring, and industry/commercial experts who can build and commercialize the final product.
Keywords: Exhaled breath, Volatile organic compounds, Medicine, Engineering
As we breathe out we expel thousands of molecules into the air. When correctly captured and analyzed these molecules make a “breath-print” that can tell a lot about the state of our health [1]. The synergies between medicine and engineering in this area have the potential to revolutionize the way we monitor health and disease and allow us to provide personalized care for each individual based on his or her own “breath-print” [1].
The current conditions in the breath analysis field could not be better: the science is mature, the technology is exploding, industry is interested, and the medical community is embracing this noninvasive method of testing. Thanks to major engineering and breakthroughs in the 20th century including new technologies (infrared, electrochemical, chemiluminescence, and others) and the development of very sensitive modern mass spectrometry (MS), gas chromatography (GC) and gas chromatography mass spectrometry (GC–MS) instruments, we can now identify thousands of unique substances in exhaled breath. These substances include elemental gases like nitric oxide and carbon monoxide and a multitude of volatile organic compounds (Table 1). Furthermore, exhaled breath also carries aerosolized droplets collected as “exhaled breath condensate” that have non-volatile compounds that can be captured by a variety of methods and analyzed for a wide range of biomarkers from metabolic end products to proteins to a variety of cytokines and chemokines and the possibilities continue to expand [2,3]. With various technologies available to test for any and all of these exhaled breath components (Table 2), several methods are now in clinical use or about ready to enter that arena. Breath analysis is now used to diagnose and monitor asthma, to check for transplant organ rejection, and to detect lung cancer, to mention a few applications. Thus, the 21st century promises to deliver a revolution in our understanding of the constituents of exhaled breath and the advancement of the field of breath analysis and testing.
Table 1.
Breath marker | Condition(s) | Technique(s) | References |
---|---|---|---|
hydrocarbons | |||
Methane CH4 | Oxidative stress, irritated bowel syndrome, breast cancer, heart transplant rejection, bronchial asthma, rheumatoid arthritis, schizophrenia, acute myocardial infraction | GC–MS, laser spectroscopy, mid infrared technology, methane breath test, GC–FID | [23,63-65] |
Ethane C2H6 | Oxidative stress, breast cancer, diabetes COPD, heart transplant rejection, OSA acute myocardial infraction ARDS, schizophrenia, rheumatoid arthritis bronchial asthma, scleroderma/systemic sclerosis lipid peroxidation of unsaturated fatty acids | GC–MS, GC–FID MIR, laser absorption spectroscopy cavity ring down spectroscopy cavity leak-out spectroscopy (CALOS) | [23-28] |
Propane C3H8 | Oxidative stress, lipid peroxidation of unsaturated fatty acids | GC–MS, laser spectroscopy | [24,23] |
Butane C4H10 | Lipid peroxidation of unsaturated fatty acids | GC–MS, automated thermal desorption | [25,26] |
Pentane C5H12 | Oxidative stress, cystic fibrosis, bronchial asthma, breast cancer, heart transplant rejection, rheumatoid arthritis acute myocardial infraction, SIRS, cigarette smoking, lipid per oxidation of unsaturated fatty acids | GC–MS, laser spectroscopy, SIFT–MS, CALOS analyzer automated thermal desorption GC–FID GC–PID | [23,24,26-32] |
Hexane C6H14 | Lung cancer, lipid peroxidation of unsaturated fatty acids | GC–MS, automated thermal desorption | [23,26,33] |
Heptane C7H16 | Lung cancer, lipid peroxidation of unsaturated fatty acids | GC–MS, automated thermal desorption | [23,26,33,34] |
Octane C8H18 | Lung cancer, lipid peroxidation of unsaturated fatty acids | GC–MS, automated thermal desorption | [23,26,33] |
Nonane C9H20 | Lung cancer, lipid peroxidation of unsaturated fatty acids | GC–MS, GC–time of flight, automated thermal desorption | [23,26,33] |
Decane C10H22 | Lung cancer, lipid peroxidation of unsaturated fatty acids | GC–MS, automated thermal desorption | [23,26,33] |
Undecane C11H24 | Lung cancer, lipid peroxidation of unsaturated fatty acids | GC–MS, automated thermal desorption | [23,26,33] |
1-Methyl-2-pentylcyclopropane C10H12 | Lung cancer, breast cancer | GC–MS, automated thermal desorption | [26,33,23] |
Isoprene 2-methyl-1,3-butadiene C5H8 | Lung cancer, breast cancer, hypercholesterolemia, oxidative stress | GC–MS, automated thermal desorption, laser spectroscopy, SIFT–MS | [24,35,28,26,36,23] |
2-Methylpropane CH3–CH(CH3)CH3 | Breast cancer | GC–MS, automated thermal desorption | [33,23,26] |
2-Methylpentane CH3CH(CH3)CH2CH2CH3 | Lung cancer, breast cancer pulmonary TB | GC–MS, automated thermal desorption | [26,36,33,23,44] |
Methylcyclopentane C5H9(CH3) | Lung cancer, breast cancer | GC–MS, automated thermal desorption | [34,23,26,33] |
1,4-Dimethylcyclohexane | Pulmonary TB | GC–MS | [44] |
2,5-Dimethylhexane C6H12(CH3)2 | Active/passive smoking | GC–MS, GC–time of flight automated thermal desorption | [26,33] |
Cyclohexane C6H12 | Lung cancer, breast cancer | GC–MS, automated thermal desorption | [33,23] |
2-Methylheptane C7H15(CH3) | Lung cancer, breast cancer | GC–MS, automated thermal desorption | [26,33,23] |
3-Methylheptane | Pulmonary TB | GC–MS | [44] |
2,2,4,6,6-Pentamethyl heptane CH3–C(CH3)2–CH2–CH(CH3)–CH2–C(CH3)2–CH3 | Pulmonary TB, lung cancer, breast cancer | GC–MS, automated thermal desorption | [36,23,44] |
2-Methyloctane CH3–CH(CH3)–CH2–CH2–CH2–CH2–CH2–CH3 | Lung cancer, breast cancer | GC–MS, automated thermal desorption | [26,23] |
3-Methyloctane CH3–CH2–CH(CH3)–CH2–CH2–CH2–CH2–CH3 | Lung cancer, breast cancer | GC–MS, automated thermal desorption | [33,23] |
3-Methylnonane CH3–CH2–CH(CH3)–CH2–CH2–CH2–CH2–CH2–CH3 | Lung cancer, breast cancer | GC–MS, automated thermal desorption | [26,23] |
3-Methylundecane CH3–CH2–CH(CH3)C8H17 | Breast cancer | GC–MS, automated thermal desorption | [33] |
5-Methyltridecane | Breast cancer | GC–MS, automated thermal desorption | [26] |
3-Methylnonadecane CH3–CH2–CH(CH3)C16H33 | Breast cancer | GC–MS, automated thermal desorption | [26] |
4-Methyldodecane CH3–CH2–CH2–CH(CH3)C16H33 | Breast cancer | GC–MS, automated thermal desorption | [26] |
Methylcyclododecane | Pulmonary TB | GC–MS | [44] |
Ethylene | Anesthetics inhalation | GC–MS | [34] |
Butadienes CH2=CH–CH=CH2 | Periodontal disease | SIFT–MS | [23] |
1-Hexene C6H13 | Lung cancer, breast cancer | GC–MS | [23] |
1-Heptene C7H15 | Lung cancer, breast cancer | GC–MS | [23] |
1-Octene | Lung cancer | GC–MS | [44] |
Benzene C6H6 | Lung cancer, breast cancer, smoke exposure | GC–MS, SIFT–MS | [24,37] |
Trimethylbenzene C6H3(CH3)3 | Lung cancer, breast cancer | GC–MS | [36,23] |
1,2,3,4-Tetramethylbenzene | Pulmonary TB | GC–MS | [44] |
Ethylbenzene C6H5–C2H5 | Lung cancer, breast cancer | GC–MS | [23,44] |
Propylbenzene C6H5C3H7 | Lung cancer, breast cancer | GC–MS | [23,44] |
Toluene C6H5CH3 | Lung cancer | SIFT–MS, GC | [24,37,38] |
o-Toluidine 2-amino-1-methylbenzene C7H9N | Lung cancer | GC–MS | [34] |
m-Toluidine 3-amino-1-methylbenzene C7H9N | Lung cancer | GC–MS | [34] |
Aniline C6H5NH2 | Lung cancer | Gas chromatography | [34] |
Styrene C6H5CH=CH2 | Lung cancer | GC–MS | [36,34,23] |
Xylenes C6H4(CH3)2 | Lung cancer | GC–MS, SIFT–MS | [38,23] |
Naphthalene C10H8 | Occupational exposure pulmonary TB | GC–MS | [34,39] |
Heteroarenes | |||
Pyridine C5H5N | Periodontal disease | GC–MS | [40] |
2-Methylfuran C5H6O | Smoking | GC–MS, GC–TOF, automated thermal desorption | [34,41] |
2,5-Dimethylfuran C6H8O | Smoking | GC–MS, GC–time of flight automated thermal desorption | [41] |
2,3-Dihydro-1-phenyl-4(1H)-quinazoline C8H6N2 | Lung cancer | GC–MS | [23] |
Indole C8H7N | Liver disorders cirrhosis | GC–MS, SIFT–MS | [38,34] |
Skatole C9H9N | Aminuria | Gas chromatography | [34] |
Alcohols | |||
Methanol CH3OH | Overgrowth of intestinal bacterial flora | SIFT–MS, GC–MS | [24,23,35,42] |
Ethanol C2H5OH | Overgrowth of intestinal bacterial flora, alcohol consumption | SIFT–MS GC–MS, SPME GC–MS, GC–PID | [24,23,42,43,44,35] |
n-Propanol C3H7OH | Lung cancer | GC–MS | [42,45] |
2-Propanol CH3CH(OH)CH3 | Acetone reduction by bacterial flora, lung cancer, breast cancer, stomach cancer | GC–MS, SIFT–MS, SPME GC–MS | [24,44,23,53] |
Dodecanol C12H25–OH | Ovulation | GC–MS | [34] |
Tetradecanol C14H29–OH | Ovulation | GC–MS | [34] |
Aldehydes | |||
Formaldehyde HCHO | Lung cancer, prostrate cancer, bladder cancer | GC–MS, laser photoacoustics-quartz PTR-MS | [23] |
Acetaldehyde CH3CHO | Lung cancer, alcohol consumption | GC–MS | [34,23,46] |
Malondialdehyde CH2(CHO)2 | Oxidative stress | GC–MS | [25] |
Hexanal C6H12O | Lung cancer | GC–MS | [23] |
Heptanal C7H14O | Lung cancer, breast cancer | GC–MS | [23,53] |
Nonanal | Pulmonary T.B. | GC–MS | [44] |
p-Tolualdehyde CH3–C6H4–CHO | Unknown | GC–MS | [34] |
Ketones | |||
Acetone 2-propanone OC(CH3)2 | Diabetes mellitus, ketosis, halitosis | GC–MS, SIFT–MS laser spectroscopy, SPME GC–MS CALOS analyzer, CRDS | [24,23,35,47,45,44,34,42] |
1-Phenyletanone C6H5COCH3 | Lung cancer, breast cancer | GC–MS | [23,48] |
2-Butanone CH3C(O)CH2CH3 | Liver function disorder, lung cancer, halitosis | GC–MS | [47,45] |
Ethyl, methyl ketone | Liver disorders | GC–MS | [34,47] |
Penta-2-none C5H10O | Liver disorders, halitosis | GC–MS | [47,45] |
1-Methyl,3-heptanone | Pulmonary TB | GC–MS | [39] |
2,3-Dihydro-1-phenyl-4(1H)-quinazolinone | Breast cancer | GC–MS | [48] |
Esters | |||
Isopropyl myristate/ tetradecanoic acid C17H34O2 | Breast cancer, lung cancer | GC–MS | [23,53] |
Carboxylic acids | |||
C2–C8 normal and branched org. acids | Upper respiratory/oropharyngeal carcinoma | Gas chromatography | [34] |
Propanoic acid | Liver disorder | Gas chromatography | [34] |
Butyric acid CH3–CH2–CH2–COOH | Liver disorders | Gas chromatography | [34] |
Isobutyric acid | Liver disorders | Gas chromatography | [34] |
Isovaleric acid 3-methylbutanoic acid C5H10O2 | Liver disorders | Gas chromatography | [34] |
Pentanoic acid | Liver disorders | GC–MS | [34] |
Ammonia | |||
NH3 | Uremia, peptic ulcer, kidney disease | Gas chromatography laser-cavity ring-down spectroscopy | [49,23,34,50,51] |
Amines (Ammonia derivatives) R–NH2 | |||
Putrescine/1,4-diaminebutane | Aminuria | Gas chromatography | [34,23] |
Cadaverine/1,5-diaminepentane | Aminuria | Gas chromatography CRDS | [34] |
Dimethyl amine (CH3)2NH | Aminuria kidney failure | Gas chromatography CRDS | [23,34] |
Trimethyl amine (CH3)3N | Aminuria kidney failure | Gas chromatography CRDS | [23,34] |
13C Urea CO(NH2)2 | Helicobacter pylori | Ammonia/urea breath test | [52] |
Sulfides | |||
Methylsulfide CH3S | Intestinal bacterial flora, liver disorder | GC–MS, SIFT–MS | [23] |
Dimethylsulfide CH3–S–CH3 | Intestinal bacterial flora, liver disorders, oral infection | SIFT–MS | [34] |
Dimethyldisulfide S(CH3)2 | Liver disorders, oral infection | GC–MS, SIFT–MS | [24,23] |
Methanethiol CH4S | Liver disorders, ovulation and menstrual cycle | GC–MS, SIFT–MS | [34] |
Ethanethiol C2H5S | Liver disorders | GC–MS | [23,34] |
Hydrogen sulfide HS | Periodontal disease, ovulation and menstrual cycle | Gas chromatography | [35,34] |
Carbonyl sulfide O=C=S | Acute lung transplant rejection | Mid infra red absorption spectroscopy, laser spectroscopy, SIFT–MS | [52] |
Carbon disulfide CS2 | Liver allograft rejection, schizophrenia, aminuria | SIFT–MS solid phase microextraction and gas chromatography-mass spectrometry (SPME GC–MS) | [49,45,44] |
Hydrogen | |||
H2 | Disorder in digestion and absorption, small bowel bacterial overgrowth | H-breath test | [53,54-56,63-65] |
Oxides of carbon | |||
Carbon monoxide CO | Differentiation between current/passive smokers, hyperbillurubinemia, hemolysis, lung diffusion capacity, diabetes, asthma, inflammation, oxidative stress | Mid infra red spectroscopy (MIR) IR laser absorption spectroscopy quantum cascade laser technique CRDS QCL based sensor CALOS analyzer | [57,35,58,51] |
Carbon dioxide CO2 | Intestinal bacterial flora, H. pylori (13CO2) | Mid infra red absorption spectroscopy CALOS analyzer | [58,51,59,34,54,63-65] |
Oxides of nitrogen | |||
Nitric oxide (NO) | Asthma, pulmonary hypertension, inflammation, oxidative stress, cystic fibrosis, rhinitis, bronchitis, asbestos related lung disorders, end stage renal disease | MIR, chemiluminescence analyzer, laser-multi pass cell, laser cavity enhanced technique, LMRS, ring down spectroscopy (14NO and 15NO) CALOS, Faraday modulation spectroscopy. NO analyzer | [50,38,60,23] |
Nitrogen dioxide (NO2) | Airway inflammation | Laser spectroscopy | |
Nitrate | Asthma, cystic fibrosis | SIFT–MS | [52] |
Nitrite | Asthma, cystic fibrosis | SIFT–MS | [52] |
Nitrous oxide (N2O) | Airway inflammation | Laser photoacoustics quartz Spectroscopy | [61] |
Alkyl halides | |||
Vinyl chloride H2C=CHCl | Exposure to VOCs from contaminated water | GC–MS | [62] |
Cis-1,2-dichloroethane C2H4(Cl)2 | Exposure to VOCs from contaminated water | GC–MS | [62] |
1,1,1-Trichloroethylene | Exposure to VOCs from contaminated water | GC–MS | [37] |
1,1,1-Trichloroethane | Exposure to VOCs from contaminated water | IR-spectrometry | [34] |
Tetrachloroethylene | Exposure to VOCs from contaminated water | GC–MS | [37] |
Bromodichloroethane Br–CH2–CH(Cl)2 | Exposure to VOCs from contaminated water | GC–MS | [62] |
Bromotrichloroethane Br–CH2–C(Cl)3 | Exposure to VOCs from contaminated water | GC–MS | [62] |
Dichloroethane | Exposure to VOCs from contaminated water | GC–MS | [34] |
Chloroform CHCl3 | Exposure to VOCs from contaminated water | GC–MS | [34,62] |
Dimethyl selenide | Liver Disorders | GC–MS | [47] |
Table 2.
Optical techniques |
Laser absorption spectroscopy |
Mid infra red absorption spectroscopy |
Multi pass cell-laser absorption spectroscopy |
Tunable diode-laser spectroscopy |
Cavity ring-down spectroscopy |
Cavity leak-out spectroscopy |
Cavity enhanced comb spectrometer |
Integrated cavity output spectroscopy |
Laser magnetic resonance spectroscopy (LMRS) |
Laser photoacoustics-quartz spectroscopy |
Faraday-LMRS |
Quantum cascade laser MIR spectroscopy |
Proton transfer reaction mass spectroscopy |
Faraday modulation spectroscopy |
Non-optical techniques |
Gas chromatography (GC) |
Mass spectroscopy (MS) |
GC–MS |
GC–flame ionization |
GC–photoionization |
GC–solid phase micro extraction chromatography |
GC–automated thermal desorption chromatography |
GC–time of flight |
Selected ion flow tube mass spectroscopy (SIFT) |
Ion mobility spectrometry (IMS) |
While the concept of using breath analysis as a medical test may be a surprise to engineering professionals, it is an easier to accept fact for medical professionals. The history of medicine is replete with discoveries that led to our current day understanding of the diagnostic potential of exhaled breath. Hippocrates described fetor oris and fetor hepaticus in his treatise on breath aroma and disease, Lavoisier and Laplace in 1784 showed that respiration consumes oxygen and eliminates carbon dioxide [4], Nebelthau in mid 1800s showed that diabetics emit breath acetone [5], and Anstie in 1874 isolated ethanol from breath (which is the basis of breath alcohol testing today) [6]. A major breakthrough in the scientific study of breath started in the 1970s when Linus Pauling demonstrated that there is more to exhaled breath than the classic gases of nitrogen, oxygen, carbon dioxide and water vapor. Using gas–liquid partition chromatography analysis, Pauling demonstrated the presence of 250 substances in exhaled breath [7].
The upward trajectory of the breath analysis field and related product development and manufacturing was very clear after a three-day Breath Analysis Summit hosted at the Cleveland Clinic in November 2007. The Summit was perhaps a turning point in the field as it attracted participants from 22 countries and 18 states [1]. The Summit brought together industry executives and entrepreneurs with scientists, engineers, and clinicians to discuss key trends, future directions, and upcoming technologies in breath analysis and medicine. The major focus of the Summit was on new technologies and medical applications and to address the major hurdles that faced this field as it transitions from the laboratory to clinical testing. Topics included exhaled nitric oxide, exhaled breath condensate, electronic nose and sensor arrays, mass spectrometry and bench top instrumentation, and cutting edge sensor technologies. Medical applications that were covered included asthma, COPD, pulmonary hypertension, other respiratory diseases, gastrointestinal diseases, occupational diseases, critical illness, and cancer [1]. The major conclusions of the summit were clear. Multidisciplinary collaboration is the only way to keep moving the field forward and to allow breath analysis and testing to achieve their potential and hold their rightful place among other accepted medical tests. The members of this team need to include scientist and engineers who have the technical knowledge and can build the appropriate devices, medical professionals who understand the disease processes and know the areas of greatest medical need, as well as industry to build devices for testing and later distribute the successful ones to a national and worldwide healthcare market. This is where the synergy between medicine and engineering is at its best.
Most likely to succeed in these endeavors are integrated multidisciplinary teams that join colleagues in industry and academia for the focused purpose of rapid development and commercialization of urgently needed non-invasive devices that will guide the diagnosis and monitoring of different diseases by exhaled breath testing. While each of these team members can independently make major contributions to their respective fields, the potential for having them work together is enormous and cannot be overstated. The process could start with a clinical need as identified by a physician; the appropriate sensor(s) can then be developed by team members with biochemical and engineering expertise. It is not uncommon, however, for the process to start from the engineering end when a new technology or device is found to be particularly sensitive or specific to detect a certain molecule or group of molecules and the medical team is approached for a possible medical application of this new technology. Regardless of where the process starts, however, it is likely to need continuous work and refinement from all involved. Once a sensor is developed a prototype is built and validated by an industrial partner and sent to the medical team for human testing. Depending on the human test results, the device may be sent back for further refinement and retesting. This process/cycle is repeated until a sensor/device achieves its expected goals. Once a device is ready, it goes back to the industry partner(s) for production on larger scale for clinical trials that will be needed for regulatory approval.
One great example of how the collaboration between technical, medical, and commercial professionals has resulted in a clinically useful tool is the measurement of exhaled nitric oxide (NO) in exhaled breath for monitoring airway inflammation. The advent of chemiluminescence analyzers in the early 1990s allowed the detection of low (ppb) levels of NO in exhaled breath [8]. This was quickly followed by the observation that patients with asthma had higher than normal levels of NO in their exhaled breath that was later linked to eosinophilic airway inflammation [9,10]. Standardization of the gas collection methods and measurement techniques allowed the industry to build the next generation of analyzers suitable for use in the clinical setting [11-14]. In 2003 the FDA approved the first desktop NO analyzer for monitoring airway inflammation in asthma [15]. This new test has evolved into an important tool in the modern management of asthma and airway inflammation. The use of exhaled NO in monitoring asthma is useful for several reasons. It is non-invasive, it can be performed repeatedly, and it can be used in children and patients with severe airflow obstruction where other techniques are difficult or not possible to perform. Exhaled NO may also be more sensitive than currently available tests in detecting airway inflammation which may allow more optimum therapy [13,16-22].
As breath analysis offers a window on lung physiology and disease, exhaled breath testing is becoming an increasingly important non-invasive diagnostic method that can be used in the evaluation of health and disease states in the lung and beyond. Potential advantages of breath tests over other conventional medical tests include their non-invasive nature, low cost, and safety. This is an area where the modern day advances in technology and engineering meet the ever expanding need in medicine for more sensitive, specific and non-invasive tests which makes this area a major front in the interface between medicine and engineering.
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