How CGMs Work
Understanding the science and technology behind continuous glucose monitoring systems.
12 Topics in this Category
Accuracy and Interstitial Lag Time
Continuous Glucose Monitors (CGMs) measure glucose in the interstitial fluid (ISF) rather than the blood, creating an inherent lag time of 5–20 minutes.
Sensor Chemistry and Enzymatic Reactions
CGM sensor technology relies on amperometric electrochemical detection using Glucose Oxidase (GOx) to convert interstitial glucose into an electrical signal.
Interstitial vs. Capillary Glucose Lag
CGMs measure interstitial fluid rather than capillary blood, resulting in a physiological lag time of 5–15 minutes that creates discrepancies during rapid glucose changes.
MARD Accuracy Metrics
Mean Absolute Relative Difference (MARD) is the gold-standard metric for CGM accuracy, with <10% being the threshold for non-adjunctive use.
Biofouling and Foreign Body Response
The Foreign Body Response (FBR) is the primary physiological limiter of CGM lifespan and accuracy, causing sensors to be walled off by fibrous tissue over time.
CGM Sensor Interference and Noise
CGM accuracy is challenged by three primary noise sources: electrochemical interference, mechanical artifacts, and biological noise from the body's immune response.
Non-Invasive Glucose Monitoring Technologies
Non-invasive glucose monitoring seeks to measure blood glucose without skin penetration using technologies like NIR spectroscopy and RF dielectric sensing.
Calibration Algorithms and Factory-Calibration
Modern CGMs use sophisticated calibration algorithms, with many now featuring factory-calibration that eliminates the need for user fingerstick calibrations.
Enzymatic Chemistry: GOx vs. GDH
Two key enzymes power CGM sensors: Glucose Oxidase (GOx) offers superior specificity while Glucose Dehydrogenase (GDH) provides different performance characteristics.
Enzymatic vs. Fluorescence Sensing Technology
CGM technologies include enzymatic sensing (traditional) and fluorescence sensing, each with distinct advantages for glucose detection.
Consensus Error Grid Analysis
Error grids evaluate CGM clinical accuracy by plotting sensor readings against reference values and categorizing deviations by clinical risk level.
iCGM Regulatory Standards
The FDA's iCGM classification establishes interoperability standards allowing CGMs to be used with automated insulin delivery systems.
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