Literature DB >> 24125758

In vivo evaluation of a chip based near infrared sensor for continuous glucose monitoring.

Lhoucine Ben Mohammadi1, Thomas Klotzbuecher, Susanne Sigloch, Knut Welzel, Michael Göddel, Thomas R Pieber, Lukas Schaupp.   

Abstract

In this paper we describe the concept and in vivo results of a minimally invasive, chip-based near infrared (NIR) sensor, combined with microdialysis, for continuous glucose monitoring. The sensor principle is based on difference absorption spectroscopy in selected wavelength bands of the near infrared spectrum (1300 nm, 1450 nm, and 1550 nm) in the 1st overtone band. In vitro measurements revealed a linear relationship between glucose concentration and the integrated difference spectroscopy signal with a coefficient of determination of 99% in the concentration range of 0-400mg/dl. The absolute error in this case is about 5mg/dl, corresponding to a relative error of about 5% for glucose concentrations larger than 50mg/dl and about 12% in the hypoglycemic range (<50mg/dl). In vivo measurements on 10 patients showed that the NIR-CGM sensor data reflects the blood reference values adequately, if a proper calibration and a signal drift correction is applied. The mean MARE (mean absolute relative error) value taken over all patient data is 13.8%. The best achieved MARE value is at 4.8%, whereas the worst lies at 25.8%, leading to a standard deviation of 5.5%.
© 2013 Published by Elsevier B.V.

Entities:  

Keywords:  Continuous glucose monitoring; Diabetes; Microdialysis; Near infrared difference spectroscopy

Mesh:

Substances:

Year:  2013        PMID: 24125758     DOI: 10.1016/j.bios.2013.09.043

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  4 in total

Review 1.  Wearable biosensors for healthcare monitoring.

Authors:  Jayoung Kim; Alan S Campbell; Berta Esteban-Fernández de Ávila; Joseph Wang
Journal:  Nat Biotechnol       Date:  2019-02-25       Impact factor: 54.908

Review 2.  Trends in Nanomaterial-Based Non-Invasive Diabetes Sensing Technologies.

Authors:  Prashanth Makaram; Dawn Owens; Juan Aceros
Journal:  Diagnostics (Basel)       Date:  2014-04-21

Review 3.  Calibration of Minimally Invasive Continuous Glucose Monitoring Sensors: State-of-The-Art and Current Perspectives.

Authors:  Giada Acciaroli; Martina Vettoretti; Andrea Facchinetti; Giovanni Sparacino
Journal:  Biosensors (Basel)       Date:  2018-03-13

4.  Subcutaneously implantable electromagnetic biosensor system for continuous glucose monitoring.

Authors:  Seongmun Kim; Jagannath Malik; Jong Mo Seo; Young Min Cho; Franklin Bien
Journal:  Sci Rep       Date:  2022-10-17       Impact factor: 4.996

  4 in total

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