Literature DB >> 12725702

Glucose correlation with light scattering patterns--a novel method for non-invasive glucose measurements.

Ohad Cohen1, Ilya Fine, Emanuel Monashkin, Avraham Karasik.   

Abstract

To correlate occlusion red near-infrared spectroscopy technology with intravenous and interstitial glucose levels, occlusion red near-infrared spectroscopy and glucose levels were measured in five subjects with diabetes mellitus during a stepped hyperinsulinemic hypoglycemic clamp. Validation was achieved using a standard error grid and linear correlations. During hyperinsulinemic hypoglycemic clamp linear correlation was significant at r = 0.836, and the intercept was 43.3 mg/dL. Of the glucose measurements, 94.3% were assigned to zones A and B of the standard error grid, the zones of the greatest therapeutic relevance. Expected interference from serum triglycerides, catecholamines, and cortisol was not apparent. These results demonstrate the applicability of occlusion red near-infrared spectroscopy for in vivo glucose monitoring. The technology has implications for continuous non-invasive glucose sensing.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12725702     DOI: 10.1089/152091503763816418

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  3 in total

1.  Accuracy of a Novel Noninvasive Multisensor Technology to Estimate Glucose in Diabetic Subjects During Dynamic Conditions.

Authors:  Sandra I Sobel; Peter J Chomentowski; Nisarg Vyas; David Andre; Frederico G S Toledo
Journal:  J Diabetes Sci Technol       Date:  2014-01-01

2.  Spectral Methods for Response Enhancement of Microwave Resonant Sensors in Continuous Non-Invasive Blood Glucose Monitoring.

Authors:  Giovanni Buonanno; Adriana Brancaccio; Sandra Costanzo; Raffaele Solimene
Journal:  Bioengineering (Basel)       Date:  2022-04-04

Review 3.  Italian contributions to the development of continuous glucose monitoring sensors for diabetes management.

Authors:  Giovanni Sparacino; Mattia Zanon; Andrea Facchinetti; Chiara Zecchin; Alberto Maran; Claudio Cobelli
Journal:  Sensors (Basel)       Date:  2012-10-12       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.