Enhancing inter-subject reproducibility in insulin bioavailability measurements through real-time calibration

• Published in: Measurement : journal of the International Measurement Confederation Vol. 231; p. 114603
• Main Authors: Arpaia, Pasquale, Galdieri, Fortuna, Mancino, Francesca, Moccaldi, Nicola
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 31.05.2024
• Subjects: Bioimpedance spectroscopy; Diabetes; Insulin bioavailability; Metrological characterization; Metrological characterization; Insulin bioavailability; Bioimpedance spectroscopy; Diabetes
• ISSN: 0263-2241
• DOI: 10.1016/j.measurement.2024.114603

A real-time calibration to enhance the inter-subject reproducibility of insulin bioavailability measurements was proposed and validated on a diabetic patient with more than 49000 impedance values. The measurement method monitors drug absorption through a transducer consisting of a sensitive material (human abdominal tissue) and an impedance spectrometer. The in-vivo experiments revealed a statistically significant negative second-order polynomial trend in impedance magnitude corresponding to the amount of rapid-acting insulin injected. To manage the uncertainty inherent in the sensing block, the method integrates real-time calibration. Implementing a real-time calibration method based on a customized model identification at each insulin administration resulted in a reduction in deterministic error by a factor of 18. A further reduction in deterministic error for clinical application (46%) was achieved with a customized parameter second-order polynomial model with respect to the customized parameter linear model. Lastly, when less conductive long-acting insulin was administered, an increasing trend in impedance magnitude was observed, aligned with the theoretical framework of the proposed method. •A non-invasive real-time and low-cost method measures insulin bioavailability.•A customized model of insulin uptake is identified based on daily physiological conditions of patient.•The method was validated by acquiring more than 49000 impedance values on a diabetic patient.