Literature DB >> 32783466

Proof of Concept for a New Raman-Based Prototype for Noninvasive Glucose Monitoring.

Stefan Pleus1, Sebastian Schauer1, Nina Jendrike1, Eva Zschornack1, Manuela Link1, Karl Dietrich Hepp2, Cornelia Haug1, Guido Freckmann1.   

Abstract

BACKGROUND: Noninvasive glucose monitoring (NIGM) in diabetes is a long-sought-for technology. Among the many attempts Raman spectroscopy was considered as the most promising because of its glucose specificity. In this study, a recently developed prototype (GlucoBeam, RSP Systems A/S, Denmark) was tested in patients with type 1 diabetes to establish calibration models and to demonstrate proof of concept for this device in real use.
METHODS: The NIGM table-top prototype was used by 15 adult subjects with type 1 diabetes for up to 25 days at home and in an in-clinic setting. On each day, the subjects performed at least six measurement units throughout the day. Each measurement unit comprised two capillary blood glucose measurements, two scans with an intermittent scanning continuous glucose monitoring (CGM) system, and two NIGM measurements using the thenar of the subject's right hand.
RESULTS: Calibration models were established using data from 19 to 24 days. The remaining 3-8 days were used for independent validation. The mean absolute relative difference of the NIGM prototype was 23.6% ± 13.1% for the outpatient days, 28.2% ± 9.9% for the in-clinic day, and 26.3% ± 10.8% for the complete study. Consensus error grid analysis of the NIGM prototype for the complete study showed 93.6% of values in clinically acceptable zones A and B.
CONCLUSIONS: This proof of concept study demonstrated a practical realization of a Raman-based NIGM device, with performance on par with early-generation CGM systems. The findings will assist in further performance improvements of the device.

Entities:  

Keywords:  Raman spectroscopy; continuous glucose monitoring; mean absolute relative difference; noninvasive glucose monitoring; performance; self-monitoring of blood glucose

Year:  2020        PMID: 32783466      PMCID: PMC7783007          DOI: 10.1177/1932296820947112

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  19 in total

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3.  Statistical methods for assessing agreement between two methods of clinical measurement.

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Authors:  Sven Delbeck; Thorsten Vahlsing; Steffen Leonhardt; Gerald Steiner; H Michael Heise
Journal:  Anal Bioanal Chem       Date:  2018-10-03       Impact factor: 4.142

5.  Adherence of self-monitoring of blood glucose in persons with type 1 diabetes in Sweden.

Authors:  Peter Moström; Elsa Ahlén; Henrik Imberg; Per-Olof Hansson; Marcus Lind
Journal:  BMJ Open Diabetes Res Care       Date:  2017-04-06

6.  Performance of the FreeStyle Libre Flash glucose monitoring system in patients with type 1 and 2 diabetes mellitus.

Authors:  M J Fokkert; P R van Dijk; M A Edens; S Abbes; D de Jong; R J Slingerland; H J G Bilo
Journal:  BMJ Open Diabetes Res Care       Date:  2017-02-17

7.  Noninvasive, wearable, and tunable electromagnetic multisensing system for continuous glucose monitoring, mimicking vasculature anatomy.

Authors:  Jessica Hanna; Moussa Bteich; Youssef Tawk; Ali H Ramadan; Batoul Dia; Fatima A Asadallah; Aline Eid; Rouwaida Kanj; Joseph Costantine; Assaad A Eid
Journal:  Sci Adv       Date:  2020-06-10       Impact factor: 14.136

8.  A Noninvasive Accurate Measurement of Blood Glucose Levels with Raman Spectroscopy of Blood in Microvessels.

Authors:  Nan Li; Hang Zang; Huimin Sun; Xianzhi Jiao; Kangkang Wang; Timon Cheng-Yi Liu; Yaoyong Meng
Journal:  Molecules       Date:  2019-04-17       Impact factor: 4.411

9.  Critical-depth Raman spectroscopy enables home-use non-invasive glucose monitoring.

Authors:  Signe M Lundsgaard-Nielsen; Anders Pors; Stefan O Banke; Jan E Henriksen; Dietrich K Hepp; Anders Weber
Journal:  PLoS One       Date:  2018-05-11       Impact factor: 3.240

10.  Direct observation of glucose fingerprint using in vivo Raman spectroscopy.

Authors:  Jeon Woong Kang; Yun Sang Park; Hojun Chang; Woochang Lee; Surya Pratap Singh; Wonjun Choi; Luis H Galindo; Ramachandra R Dasari; Sung Hyun Nam; Jongae Park; Peter T C So
Journal:  Sci Adv       Date:  2020-01-24       Impact factor: 14.136

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  3 in total

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Review 2.  Is Raman the best strategy towards the development of non-invasive continuous glucose monitoring devices for diabetes management?

Authors:  Biagio Todaro; Filippo Begarani; Federica Sartori; Stefano Luin
Journal:  Front Chem       Date:  2022-09-26       Impact factor: 5.545

Review 3.  Products for Monitoring Glucose Levels in the Human Body With Noninvasive Optical, Noninvasive Fluid Sampling, or Minimally Invasive Technologies.

Authors:  Trisha Shang; Jennifer Y Zhang; Andreas Thomas; Mark A Arnold; Beatrice N Vetter; Lutz Heinemann; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2021-06-13
  3 in total

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