Glucose concentration in a solution can be measured using various methods, including spectroscopic techniques.
One such method involves utilizing Near-Infrared Spectroscopy (NIRS) followed by Partial Least Squares Regression (PLSR) analysis. This technique allows for reasonably accurate prediction of glucose concentration, as confirmed in the range of 0-1000 mg/dL.
Here's a breakdown of the method using NIRS and PLSR:
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Near-Infrared Spectroscopy (NIRS): NIRS involves shining near-infrared light through the solution containing glucose. Glucose molecules absorb certain wavelengths of this light. The amount of light absorbed is related to the concentration of glucose in the solution.
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Partial Least Squares Regression (PLSR): PLSR is a statistical method used to build a predictive model between the near-infrared spectra obtained from NIRS and the known glucose concentrations. This model can then be used to predict the glucose concentration in unknown samples based on their NIRS spectra.
In summary, NIRS combined with PLSR offers a means of quickly and non-destructively determining glucose concentration in solutions.
