HOW IT WORKS
Measurement range in Cavity-Enhanced Spectroscopy defines the span of analyte concentrations that can be reliably detected while maintaining accuracy and sensitivity. It is determined by factors such as the instrument’s sensitivity, the quality of the optical cavity, and the spectroscopic method used. The measurement range extends from the lowest detectable concentration, limited by noise and background interference, to the highest concentration before saturation effects or nonlinear absorption impact the results.
HOW IT WORKS
Lower Detection Limit – The minimum analyte concentration that can be distinguished from noise, influenced by laser stability, mirror reflectivity, and cavity losses.
Upper Detection Limit – The maximum analyte concentration that can be measured before nonlinear effects degrade accuracy.
Dynamic Range – The ratio between the upper and lower detection limits, defining the instrument’s ability to measure analytes across varying concentrations.
Cavity Influence – The finesse and reflectivity of cavity mirrors directly affect the measurement range by extending light interaction time within the sample.
IMPACT ON PERFORMANCE
Versatility: A wide measurement range allows for both trace detection and high-concentration analysis in various applications.
Accuracy: Maintaining linearity across the range ensures precise quantification without extensive recalibrations.
Sensitivity Optimization: Properly managing the range enables high sensitivity while avoiding signal distortions due to excessive absorption.
Reproducibility: A well-defined measurement range ensures repeatable and consistent results.
CHALLENGES AND LIMITATIONS
Saturation Effects: High analyte concentrations may cause nonlinear absorption, distorting results.
Signal-to-Noise Constraints: The lower detection limit is restricted by background noise and fluctuations in laser intensity.
Cavity Limitations: Optical imperfections, misalignment, and mirror coatings can restrict the effective range.
Environmental Factors: Variations in temperature, pressure, and humidity can impact signal response and measurement reliability.