The purpose of this study is to determine whether an array of biosensors can noninvasively identify hyperglycemic or hypoglycemic events in persons diagnosed with diabetes through noninvasive detection of volatile organic compounds (VOCs) in exhaled breath.
At this stage, the team will deploy two different analytical platforms in parallel in a clinical study to survey exhaled breath volatile organic compound (VOC) profiles at a diabetes youth camp. The ultimate objective is to determine whether a miniaturized laboratory device incorporating metal oxide gas sensors can reliably distinguish specific VOCs associated with glycemic events under real-world conditions. Sensor responses will be validated through parallel breath collection using Tedlar (plastic) bags, followed by confirmatory analysis via gas chromatography-mass spectrometry (GC-MS).
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
40
Children diagnosed with diabetes that wear a continuous glucose monitor (CGM) will provide breath samples into the miniaturized sensing device (as well as Tedlar bags for GC-MS analysis) during euglycemia, hypoglycemia, and hyperglycemia. The breath data will be analyzed to draw correlations with blood glucose levels measured via CGMs and finger prick tests.
Jameson Camp
Indianapolis, Indiana, United States
RECRUITINGSensor Features Correlate with Blood Glucose Measurements
Detection of exhaled VOC concentrations via the miniaturized laboratory device that correlate with hyper- and hypoglycemic episodes determined through finger stick and CGM data. It is anticipated that the device will be capable of noninvasively estimating blood glucose levels with approximately 30% agreement relative to CGM measurements, while accurately identifying hypo- and hyperglycemic events with greater than 85-90% sensitivity/specificity.
Time frame: 1 week for the summer camp.
GC-MS Analysis of VOCs Correlate with Blood Glucose and Sensor Data
Specific VOCs identified through GC-MS analysis are expected to correlate not only with blood glucose levels and hypo-/hyperglycemic events, but also with extracted features of the sensor response. It is anticipated that select VOCs will exhibit statistically significant correlations (R \> 0.70) with glycemic measures and may demonstrate stronger associations with blood glucose levels and glycemic state classification compared to the metal oxide gas sensor array.
Time frame: 1 week for the summer camp.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.