Graphene-Based Sensor Helps Predict Asthma Attacks
|
By LabMedica International staff writers Posted on 05 Jun 2017 |

Image: Exhaled breath condensate is rapidly analyzed by a new graphene-based nanoelectronic sensor that detects nitrite, a key inflammatory marker in the inner lining of the respiratory airway (Photo courtesy of Azam Gholizadeh, Rutgers University).
Researchers have developed a prototype graphene-based device that detects inflammation in lungs, which could lead to earlier detection of asthma attacks and improve the management of asthma and other respiratory diseases, preventing hospitalizations and deaths. The invention helps pave the way for developing small wearable devices that could indicate when and at what dosage to take medication.
A diverse team of experts at Rutgers University-New Brunswick (New Brunswick, NJ, USA) created the sensor in response to the need for improved, minimally invasive methods for the molecular diagnosis and monitoring of asthma. Today’s non-invasive methods are limited in characterizing the nature and degree of airway inflammation, and require costly, bulky equipment that patients cannot easily keep with them. The methods include spirometry, which measures breathing capacity, and testing for exhaled nitric oxide, an indicator of airway inflammation.
Asthma causes inflammation of the airway and obstructs airflow. Other serious lung ailments include chronic obstructive pulmonary disease (COPD), which encompasses emphysema and chronic bronchitis.
“Our vision is to develop a device that someone with asthma or another respiratory disease can wear around their neck or on their wrist and blow into it periodically to predict the onset of an asthma attack or other problems,” said Mehdi Javanmard, assistant professor at Rutgers, “It advances the field of personalized and precision medicine.” Measuring biomarkers in exhaled breath condensate (tiny liquid droplets discharged during breathing) can also contribute to understanding asthma at the molecular level and lead to targeted treatment and better disease management.
Graphene is a thin layer of the graphite used in pencils. The new miniaturized electrochemical sensor accurately measures nitrite in exhaled breath condensate using reduced graphene oxide, which resists corrosion, has superior electrical properties, and is very accurate in detecting biomarkers.
“Nitrite level in breath condensate is a promising biomarker for inflammation in the respiratory tract. Having a rapid, easy method to measure it can help an asthmatic determine if air pollutants are affecting them so they can better manage use of medication and physical activity,” said Clifford Weisel, study co-author and professor at Rutgers, “It could also be used in a physician’s office and emergency departments to monitor the effectiveness of various anti-inflammatory drugs to optimize treatment.”
“Increases in airway inflammation may be an early warning sign of increased risk of an asthma attack or exacerbation of COPD, allowing for earlier and more-effective preventive measures or treatment,” said Robert Laumbach, study co-author and an occupational and environmental medicine physician at Rutgers.
“Just looking at coughing, wheezing, and other outward symptoms, diagnosis accuracy is often poor,” said Prof. Javanmard, “The ability to perform label-free quantification of nitrite content in exhaled breath condensate in a single step without any sample pre-treatment resolves a key bottleneck to enabling portable asthma management.” The next step is to develop a portable, wearable system. The researchers also envision expanding the number of inflammation biomarkers a device could detect and measure.
The study, by Gholizadeh A et al, was published May 22, 2017, in the journal Microsystems & Nanoengineering.
Related Links
Rutgers University-New Brunswick
A diverse team of experts at Rutgers University-New Brunswick (New Brunswick, NJ, USA) created the sensor in response to the need for improved, minimally invasive methods for the molecular diagnosis and monitoring of asthma. Today’s non-invasive methods are limited in characterizing the nature and degree of airway inflammation, and require costly, bulky equipment that patients cannot easily keep with them. The methods include spirometry, which measures breathing capacity, and testing for exhaled nitric oxide, an indicator of airway inflammation.
Asthma causes inflammation of the airway and obstructs airflow. Other serious lung ailments include chronic obstructive pulmonary disease (COPD), which encompasses emphysema and chronic bronchitis.
“Our vision is to develop a device that someone with asthma or another respiratory disease can wear around their neck or on their wrist and blow into it periodically to predict the onset of an asthma attack or other problems,” said Mehdi Javanmard, assistant professor at Rutgers, “It advances the field of personalized and precision medicine.” Measuring biomarkers in exhaled breath condensate (tiny liquid droplets discharged during breathing) can also contribute to understanding asthma at the molecular level and lead to targeted treatment and better disease management.
Graphene is a thin layer of the graphite used in pencils. The new miniaturized electrochemical sensor accurately measures nitrite in exhaled breath condensate using reduced graphene oxide, which resists corrosion, has superior electrical properties, and is very accurate in detecting biomarkers.
“Nitrite level in breath condensate is a promising biomarker for inflammation in the respiratory tract. Having a rapid, easy method to measure it can help an asthmatic determine if air pollutants are affecting them so they can better manage use of medication and physical activity,” said Clifford Weisel, study co-author and professor at Rutgers, “It could also be used in a physician’s office and emergency departments to monitor the effectiveness of various anti-inflammatory drugs to optimize treatment.”
“Increases in airway inflammation may be an early warning sign of increased risk of an asthma attack or exacerbation of COPD, allowing for earlier and more-effective preventive measures or treatment,” said Robert Laumbach, study co-author and an occupational and environmental medicine physician at Rutgers.
“Just looking at coughing, wheezing, and other outward symptoms, diagnosis accuracy is often poor,” said Prof. Javanmard, “The ability to perform label-free quantification of nitrite content in exhaled breath condensate in a single step without any sample pre-treatment resolves a key bottleneck to enabling portable asthma management.” The next step is to develop a portable, wearable system. The researchers also envision expanding the number of inflammation biomarkers a device could detect and measure.
The study, by Gholizadeh A et al, was published May 22, 2017, in the journal Microsystems & Nanoengineering.
Related Links
Rutgers University-New Brunswick
Latest Immunology News
- Study Finds Influenza Often Undiagnosed in Winter Deaths
- Combined Screening Approach Identifies Early Leprosy Cases
- Antibody Blood Test Identifies Active TB and Distinguishes Latent Infection
- FDA Approval Expands Use of PD-L1 Companion Diagnostic in Esophageal and GEJ Carcinomas
- Study Identifies Inflammatory Pathway Driving Immunotherapy Resistance in Bladder Cancer
- Microfluidic Chip Detects Cancer Recurrence from Immune Response Signals
- Cancer Mutation ‘Fingerprints’ to Improve Prediction of Immunotherapy Response
- Immune Signature Identified in Treatment-Resistant Myasthenia Gravis
- New Biomarker Predicts Chemotherapy Response in Triple-Negative Breast Cancer
- Blood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
- Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
- Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
- Blood Test Could Identify Colon Cancer Patients to Benefit from NSAIDs
- Blood Test Could Detect Adverse Immunotherapy Effects
- Routine Blood Test Can Predict Who Benefits Most from CAR T-Cell Therapy
- New Test Distinguishes Vaccine-Induced False Positives from Active HIV Infection
Channels
Clinical Chemistry
view channel
Blood Test Predicts Alzheimer Disease Risk Before Imaging Changes and Symptoms
Alzheimer's disease often advances silently for years, making timely risk stratification difficult in routine practice. Current approaches to detect pathology can involve lumbar puncture or positron emission... Read more
Study Finds ApoB Testing More Effective Than LDL for Guiding Lipid Therapy
Routine blood tests that measure low-density lipoprotein (LDL), commonly known as “bad” cholesterol, are widely used to guide lipid-lowering therapy, but they do not always provide a complete picture of... Read more
AI-Enabled POC Test Quantifies Multiple Cardiac Biomarkers
Cardiovascular diseases are a leading cause of death, responsible for nearly 20 million deaths each year. Timely triage of myocardial infarction and heart failure hinges on rapid cardiac biomarker measurement,... Read moreNext Generation Automated Analyzers Increase Throughput for Clinical Chemistry and Electrolyte Testing
Clinical laboratories continue to face staffing shortages, limited space, and growing test volumes that pressure chemistry and electrolyte workflows. Maintaining rapid turnaround times increasingly depends... Read moreMolecular Diagnostics
view channel
Blood-Based Epigenetic Signals Enable Osteosarcoma Disease Monitoring
Osteosarcoma is a rare but aggressive pediatric bone cancer where recurrence and metastasis remain difficult to detect early. Imaging-based surveillance can miss small lesions and exposes children to repeated... Read more
Host–Virus Genetic Interactions Drive Nasopharyngeal Cancer Risk
Epstein–Barr virus (EBV) infects more than 95% of adults worldwide, yet only a small fraction develops EBV‑associated cancers such as nasopharyngeal carcinoma. Explaining this divergence requires understanding... Read moreHematology
view channel
Routine Blood Test Parameters Link Anemia to Cancer Risk and Mortality
Anemia detected in routine care can signal underlying pathology and is frequently encountered in adults. Because it is defined by hemoglobin levels below the normal range, it is often evaluated with red... Read more
Prognostic Tool Guides Personalized Treatment in Rare Blood Cancer
Chronic myelomonocytic leukemia (CMML) is a rare blood cancer in which acquired genetic mutations in bone marrow stem cells drive disease. Stem cell transplantation is the only curative option but carries... Read moreImmunology
view channel
Study Finds Influenza Often Undiagnosed in Winter Deaths
Seasonal influenza drives substantial excess mortality, yet its contribution is often obscured when infections go undiagnosed near the time of death. Many deaths occur outside hospitals or in older adults... Read moreCombined Screening Approach Identifies Early Leprosy Cases
Leprosy remains a significant public health concern, with more than 200,000 new cases reported globally each year and early disease often escaping routine laboratory detection. In its initial phase, bacterial... Read moreMicrobiology
view channelRapid Color Test Stratifies Virulent and Resistant Staph Strains
Staphylococcus aureus (golden staph) remains a leading cause of infection-related mortality worldwide, responsible for more than a million deaths each year. Rapidly distinguishing highly virulent or a... Read more
Syndromic Panel Enables Rapid Identification of Bloodstream Infections
Bloodstream infections require rapid identification of causative pathogens and resistance determinants to guide therapy, yet laboratories often face pressure to deliver clinically relevant results quickly... Read more
RNA-Based Workflow Identifies Active Skin Microbes for Dermatology Research
Human skin carries diverse microbial communities that influence barrier function and inflammation, yet identifying which organisms are metabolically active has been challenging. DNA-based surveys catalog... Read more
Cost-Effective Sampling and Sequencing Workflow Identifies ICU Infection Hotspots
Intensive care units face persistent threats from hospital-acquired infections, increasingly driven by drug-resistant bacteria. Rapidly pinpointing environmental reservoirs and transmission hotspots remains... Read morePathology
view channel
Biomarker Predicts Immunotherapy Response and Prognosis in Colorectal Cancer
Colorectal cancer is common and often lethal, and therapeutic decision-making is complicated by heterogeneous tumor microenvironments. Immunotherapy benefits only a small subset of patients, around 5%,... Read more
Collaboration Applies AI Pathology to Predict Response to Antibody-Drug Conjugates
Antibody-drug conjugates (ADC) are reshaping oncology, yet scalable biomarkers that reliably predict which patients will benefit remain limited as treatment regimens and combinations grow more complex.... Read moreIndustry
view channel
Partnership Expands Ultrasensitive WGS Assay for for Hematologic Malignancies and MRD Monitoring
Tempus AI and Predicta Biosciences announced the commercial expansion of a co-branded whole‑genome sequencing assay GenoPredicta, which is intended for comprehensive genomic characterization of hematologic... Read more







