Future Applications of Electronic-Nose Technologies in Healthcare and Biomedicine

The development and utilization of many new electronic-nose (e-nose) applications in the healthcare and biomedical fields have continued to rapidly accelerate over the past 20 years. Innovative e-nose technologies are providing unique solutions to a diversity of complex problems in biomedicine that are now coming to fruition. A wide range of electronic-nose instrument types, based on different operating principles and mechanisms, has facilitated the creation of different types and categories of medical applications that take advantage of the unique strengths and advantages of specific sensor types and sensor arrays of different individual instruments. Electronic-nose applications have been developed for a wide range of healthcare sectors including diagnostics, immunology, pathology, patient recovery, pharmacology, physical therapy, physiology, preventative medicine, remote healthcare, and wound and graft healing. E-nose biomedical applications range from biochemical testing, blood compatibility, disease diagnoses, drug purity, monitoring metabolic levels, organ dysfunction, and telemedicine. This review summarizes some of the key technological developments of electronic-nose technologies, arising from past and recent biomedical research, and identifies a variety of future e-nose applications currently under development which have great potential to advance the effectiveness and efficiency of biomedical treatments and healthcare services for many years. A concise synthesis of the major electronic-nose technologies developed for healthcare and medical applications since the 1980s is provided along with a detailed assessment and analysis of future potential advances in electronic aroma detection (EAD) technologies that will provide effective solutions to newly-emerging problems in the healthcare industry. These new e-nose solutions will provide greatly improved quality controls for healthcare decisions and diagnoses as well as badly needed final confirmations of appropriate patient treatments. The purpose of this chapter is to provide some detailed insights into current and future e-nose applications that will yield a variety of new solutions to detection-related tasks and difficult problems in the fields of healthcare and biomedicine. The uses of electronic-noses for quality control (QC) and quality assurance (QA) issues, associated with numerous diagnostictesting activities conducted within the medical field, also are discussed.

[1]  M. Phillips,et al.  Increased pentane and carbon disulfide in the breath of patients with schizophrenia. , 1993, Journal of clinical pathology.

[2]  R. Doty,et al.  Biochemical profile or uremic breath. , 1977, The New England journal of medicine.

[3]  N. Rogers,et al.  Acetone in breath and blood. , 1977, Transactions of the American Clinical and Climatological Association.

[4]  T. Kaizu [Analysis of volatile sulphur compounds in mouth air by gas chromatography (author's transl)]. , 1976, Nihon Shishubyo Gakkai kaishi.

[5]  Emmanuel I. Iwuoha,et al.  Cytochrome P4502D6 (CYP2D6) Bioelectrode for Fluoxetine , 2004 .

[6]  Kevin Gleeson,et al.  Detection of lung cancer with volatile markers in the breath. , 2003, Chest.

[7]  Biao Huang,et al.  Determination of ochratoxin A by polyclonal antibodies based sensitive time-resolved fluoroimmunoassay , 2006, Archives of Toxicology.

[8]  P. Montuschi,et al.  Increased 8-isoprostane, a marker of oxidative stress, in exhaled condensate of asthma patients. , 1999, American journal of respiratory and critical care medicine.

[9]  W. Cao,et al.  Breath analysis: potential for clinical diagnosis and exposure assessment. , 2006, Clinical chemistry.

[10]  S. Tokonami,et al.  Review: micro- and nanosized molecularly imprinted polymers for high-throughput analytical applications. , 2009, Analytica chimica acta.

[11]  Nicole Jaffrezic-Renault,et al.  Amperometric enzyme biosensors: Past, present and future , 2008 .

[12]  L. Zieve,et al.  Mercaptans and dimethyl sulfide in the breath of patients with cirrhosis of the liver. Effect of feeding methionine. , 1970, The Journal of laboratory and clinical medicine.

[13]  Josep Samitier,et al.  Advances in the production, immobilization, and electrical characterization of olfactory receptors for olfactory nanobiosensor development , 2006 .

[14]  M Moens,et al.  Fast identification of ten clinically important micro‐organisms using an electronic nose , 2006, Letters in applied microbiology.

[15]  Conrad Bessant,et al.  Electronic-Nose Technology Using Sputum Samples in Diagnosis of Patients with Tuberculosis , 2010, Journal of Clinical Microbiology.

[16]  A. Pavlou,et al.  Sniffing out the Truth: Clinical Diagnosis Using the Electronic Nose , 2000, Clinical chemistry and laboratory medicine.

[17]  Stela Pruneanu,et al.  Manganese(III) Porphyrin-based Potentiometric Sensors for Diclofenac Assay in Pharmaceutical Preparations , 2010, Sensors.

[18]  Leandro Lorenzelli,et al.  Development of a gas chromatography silicon-based microsystem in clinical diagnostics. , 2005, Biosensors & bioelectronics.

[19]  Shih-Chieh Chang,et al.  Acute Response in vivo of a Fiber-Optic Sensor for Continuous Glucose Monitoring from Canine Studies on Point Accuracy , 2010, Sensors.

[20]  H. J. O’neill,et al.  Volatile organic compounds in exhaled air from patients with lung cancer. , 1985, Clinical chemistry.

[21]  Michele Smith,et al.  THE USE OF SMELL IN DIFFERENTIAL DIAGNOSIS , 1982, The Lancet.

[22]  M. Phillips,et al.  Volatile Markers of Breast Cancer in the Breath , 2003, The breast journal.

[23]  L. Blendis,et al.  A gas chromatographic--mass spectrometric study of profiles of volatile metabolites in hepatic encephalopathy. , 1981, Journal of chromatography.

[24]  M. Phillips,et al.  Variation in volatile organic compounds in the breath of normal humans. , 1999, Journal of chromatography. B, Biomedical sciences and applications.

[25]  G. Rooth,et al.  Acetone in alveolar air, and the control of diabetes. , 1966, Lancet.

[26]  Michael P. Craven,et al.  The prediction of bacteria type and culture growth phase by an electronic nose with a multi-layer perceptron network , 1998 .

[27]  Peter A. Lieberzeit,et al.  Solvent Vapour Detection with Cholesteric Liquid Crystals—Optical and Mass-Sensitive Evaluation of the Sensor Mechanism† , 2010, Sensors.

[28]  N. Ratcliffe,et al.  A pilot study of faecal volatile organic compounds in faeces from cholera patients in Bangladesh to determine their utility in disease diagnosis. , 2009, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[29]  Evor L. Hines,et al.  Identification of Staphylococcus aureus infections in hospital environment: electronic nose based approach , 2005 .

[30]  G. Preti,et al.  Quantitative differences in volatiles from healthy mouths and mouths with periodontitis. , 1981, Clinical chemistry.

[31]  Recent Advances on DNA Biosensors , 2001 .

[32]  Giovanni Sparacino,et al.  “Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues , 2010, Sensors.

[33]  Babak Kateb,et al.  Sniffing out cancer using the JPL electronic nose: A pilot study of a novel approach to detection and differentiation of brain cancer , 2009, NeuroImage.

[34]  G. Preti,et al.  Analysis of lung air from patients with bronchogenic carcinoma and controls using gas chromatography-mass spectrometry. , 1988, Journal of chromatography.

[35]  Kamila Gawel,et al.  Responsive Hydrogels for Label-Free Signal Transduction within Biosensors , 2010, Sensors.

[36]  A. Manolis,et al.  The diagnostic potential of breath analysis. , 1983, Clinical chemistry.

[37]  D. G. Siko,et al.  A novel application of affinity biosensor technology to detect antibodies to mycolic acid in tuberculosis patients. , 2008, Journal of immunological methods.

[38]  Kemal Polat,et al.  The effect to diagnostic accuracy of decision tree classifier of fuzzy and k-NN based weighted pre-processing methods to diagnosis of erythemato-squamous diseases , 2006, Digit. Signal Process..

[39]  Zsofia Lazar,et al.  Electronic Nose Breathprints Are Independent of Acute Changes in Airway Caliber in Asthma , 2010, Sensors.

[40]  Anthony Guiseppi-Elie,et al.  Electroconductive hydrogels: synthesis, characterization and biomedical applications. , 2010, Biomaterials.

[41]  Urs Frey,et al.  Complexity of chronic asthma and chronic obstructive pulmonary disease: implications for risk assessment, and disease progression and control , 2008, The Lancet.

[42]  K Liddell,et al.  Smell as a diagnostic marker , 1976, Postgraduate medical journal.

[43]  Peter Elsner,et al.  Smelling Renal Dysfunction via Electronic Nose , 2005, Annals of Biomedical Engineering.

[44]  P. Wang,et al.  A novel method for diabetes diagnosis based on electronic nose. , 1997, Biosensors & bioelectronics.

[45]  D. Blake,et al.  Exhaled methyl nitrate as a noninvasive marker of hyperglycemia in type 1 diabetes , 2007, Proceedings of the National Academy of Sciences.

[46]  Eun-Hyung Yoo,et al.  Glucose Biosensors: An Overview of Use in Clinical Practice , 2010, Sensors.

[47]  Mitch Jacoby BREATH ANALYSIS FOR MEDICAL DIAGNOSIS , 2004 .

[48]  T. Vo‐Dinh,et al.  Biosensors and biochips: advances in biological and medical diagnostics , 2000, Fresenius' journal of analytical chemistry.

[49]  Rashid Bashir,et al.  BioMEMS: state-of-the-art in detection, opportunities and prospects. , 2004, Advanced drug delivery reviews.

[50]  Michael Phillips,et al.  Can the electronic nose really sniff out lung cancer? , 2005, American journal of respiratory and critical care medicine.

[51]  D. Blake,et al.  Improved predictive models for plasma glucose estimation from multi-linear regression analysis of exhaled volatile organic compounds. , 2009, Journal of applied physiology.

[52]  Amine Bermak,et al.  A Robust and Low-Complexity Gas Recognition Technique for On-Chip Tin-Oxide Gas Sensor Array , 2008, J. Sensors.

[53]  B. D. Malhotra,et al.  Mediated biosensors. , 2002, Biosensors & bioelectronics.

[54]  S. Ruth,et al.  An overview of analytical methods for determining the geographical origin of food products , 2008 .

[55]  J. Gardner,et al.  Biomedical Engineering Online Open Access Bacteria Classification Using Cyranose 320 Electronic Nose , 2022 .

[56]  D van Steenberghe,et al.  Detection of Odorous Compounds in Breath , 2009, Journal of dental research.

[57]  Christian Raschner,et al.  An Overview of Recent Application of Medical Infrared Thermography in Sports Medicine in Austria , 2010, Sensors.

[58]  Z. Borrill,et al.  Exhaled breath condensate biomarkers in COPD , 2008, European Respiratory Journal.

[59]  Bailing Liu,et al.  Synthesis of a novel gelatin - carbon nanotubes hybrid hydrogel , 2004 .

[60]  Naresh Magan,et al.  Electronic nose analysis of bronchoalveolar lavage fluid , 2011, European journal of clinical investigation.

[61]  Lara Allet,et al.  Wearable Systems for Monitoring Mobility-Related Activities in Chronic Disease: A Systematic Review , 2010, Sensors.

[62]  Rudolf Seising,et al.  From vagueness in medical thought to the foundations of fuzzy reasoning in medical diagnosis , 2006, Artif. Intell. Medicine.

[63]  H Kaji,et al.  Gas chromatographic determination of volatile sulfur compounds in the expired alveolar air in hepatopathic subjects. , 1978, Journal of chromatography.

[64]  K Smith,et al.  Sweat in Schizophrenic Patients: Identification of the Odorous Substance , 1969, Science.

[65]  A. B. Robinson,et al.  Quantitative analysis of urine vapor and breath by gas-liquid partition chromatography. , 1971, Proceedings of the National Academy of Sciences of the United States of America.

[66]  N. Ratcliffe,et al.  An analysis of volatiles in the headspace of the faeces of neonates , 2008, Journal of breath research.

[67]  Gerald J. Kost Principles & practice of point-of-care testing , 2002 .

[68]  R. Cataneo,et al.  Volatile organic compounds in breath as markers of lung cancer: a cross-sectional study , 1999, The Lancet.

[69]  Chunhui Deng,et al.  Investigation of volatile biomarkers in liver cancer blood using solid-phase microextraction and gas chromatography/mass spectrometry. , 2008, Rapid communications in mass spectrometry : RCM.

[70]  Isabel Torres,et al.  Use of Sensors in the Treatment and Follow-up of Patients with Diabetes Mellitus , 2010, Sensors.

[71]  Limin Zhu,et al.  Flavor analysis in a pharmaceutical oral solution formulation using an electronic-nose. , 2004, Journal of pharmaceutical and biomedical analysis.

[72]  Vittorio Dell’Orto,et al.  Electronic nose for determination of aflatoxins in maize , 2009 .

[73]  Constantinos A. Georgiou,et al.  Development of a Fully Automated Flow Injection Analyzer Implementing Bioluminescent Biosensors for Water Toxicity Assessment , 2010, Sensors.

[74]  S. Platt,et al.  The function, composition and analysis of cerebrospinal fluid in companion animals: part II - analysis. , 2009, Veterinary journal.

[75]  J O SINES,et al.  Demonstration of a peculiar odor in the sweat of schizophrenic patients. , 1960, A.M.A. archives of general psychiatry.

[76]  M. Antonietti,et al.  Porous polymers and resins for biotechnological and biomedical applications. , 2002, Journal of biotechnology.

[77]  Giovanna E Carpagnano,et al.  Increased leukotriene B4 and interleukin-6 in exhaled breath condensate in cystic fibrosis. , 2003, American journal of respiratory and critical care medicine.

[78]  Development and evaluation of the liver disease quality of life instrument in persons with advanced, chronic liver disease—the LDQOL 1.0 , 2000 .

[79]  W. Freeman,et al.  Porous silicon in drug delivery devices and materials. , 2008, Advanced drug delivery reviews.

[80]  Mi-Young Kim,et al.  Transcriptional Regulation of Glucose Sensors in Pancreatic β-Cells and Liver: An Update , 2010, Sensors.

[81]  D M Klaus,et al.  Considerations for non-invasive in-flight monitoring of astronaut immune status with potential use of MEMS and NEMS devices. , 2006, Life sciences.

[82]  D. Kennedy,et al.  Use of an electronic nose to distinguish cerebrospinal fluid from serum. , 2000, Archives of otolaryngology--head & neck surgery.

[83]  John M. Fonner,et al.  Biocompatibility implications of polypyrrole synthesis techniques , 2008, Biomedical materials.

[84]  John Cooper,et al.  Use of a Multiplexed CMOS Microarray to Optimize and Compare Oligonucleotide Binding to DNA Probes Synthesized or Immobilized on Individual Electrodes , 2010, Sensors.

[85]  M. Phillips,et al.  Prediction of heart transplant rejection with a breath test for markers of oxidative stress. , 2004, The American journal of cardiology.

[86]  Giorgio Pennazza,et al.  Diagnostic performance of an electronic nose, fractional exhaled nitric oxide, and lung function testing in asthma. , 2010, Chest.

[87]  G F Hayden,et al.  Olfactory diagnosis in medicine. , 1980, Postgraduate medicine.

[88]  S. F. D’souza,et al.  Microbial biosensors. , 2001, Biosensors & bioelectronics.

[89]  J. Orens,et al.  Patterns and significance of exhaled-breath biomarkers in lung transplant recipients with acute allograft rejection. , 2001, The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation.